Google Reviews: Steps for Businesses to Succeed

Google reviews play a crucial role in shaping a business's online reputation, as they provide potential customers with authentic feedback and influence their purchasing decisions. High ratings and positive reviews can significantly enhance a business's visibility and credibility, leading to increased trust and higher customer engagement.
Person holding phone with graphics of google reviews star rating

Google reviews are synonymous with success in today’s business environment. Whether you operate in retail, financial services, insurance, or any other industry, consumers will not purchase your product or services if you have poor Google business reviews. 

Some people may think that Google reviews are out of their control. That couldn’t be further from the truth. You can create a strategy to handle the end-to-end process of Google reviews for business. This strategy can be used in tandem with your online reputation management strategies. 

What are Google Reviews? 

Google Reviews are user-generated evaluations and comments about businesses and services that are posted on Google’s platform. Users can leave reviews for various establishments such as restaurants, hotels, shops, and more. These reviews often include ratings, written feedback, and sometimes photos. The ratings typically range from one to five stars, with one star indicating a poor experience and five stars representing an excellent one.

Businesses can claim their Google My Business listing, which allows them to manage and respond to reviews. Positive reviews can enhance a business’s online reputation and attract more customers, while negative reviews may have the opposite effect. 

Why Are Google Reviews Important?

Over 80% of consumers look at Google reviews before visiting or shopping at a business, and according to research by InMoment, customers don’t trust companies with lower than a 4-star rating average. Up to 94% say a negative review or social media comment has convinced them to avoid a company. These online reputation management statistics show that the reviews that show up related to your business and your products/services have increasing power in driving customer acquisition. Along with customer acquisition, there are a lot of other reasons that make Google reviews important. 

  • Consumer Trust: Positive reviews build trust and confidence in a business, while negative reviews may lead potential customers to reconsider.
  • Online Reputation: Google reviews contribute significantly to a business’s online reputation. A strong, positive online reputation can attract more customers, improve brand image, and differentiate a business from its competitors.
  • Local SEO Ranking: Google takes into account the quantity and quality of reviews when determining local search rankings. Businesses with more positive reviews are likely to appear higher in local search results, increasing their visibility to potential customers.
  • Customer Engagement: Responding to reviews, both positive and negative, allows businesses to engage with their customers. It shows that the business values customer feedback and is committed to providing a good experience. Engaging with reviews can also help address concerns and resolve issues publicly.
  • Social Proof: Positive reviews serve as social proof that others have had a positive experience with a business. This can be a powerful motivator for potential customers who are considering a purchase or service.
  • Customer Insights: Reviews offer businesses insights to the emotions and experiences of their customers. This can help identify pain points and lead to making decisions that positively impact the customer experience. 
  • New Opportunities: Similarly to insights, reviews can also unveil new opportunities to introduce or improve something that your customers want. By doing this, you improve customer retention and also gain a competitive advantage over your competitors. 

Another importance of Google Reviews is their correlation with the Google Local Guide program. Participating users of this program earn points by writing reviews, or sharing pictures and videos. This program benefits both parties as the business gets added social proof with the reviews and pictures or videos while the customers get rewarded with different items, events or promotions from Google. 

How Google Reviews Impact Your Business Performance

Google business reviews can be directly correlated to how your brand shows up in search engine results. Positive reviews contribute to an enhanced online reputation, influence Google’s local search algorithms, and boost your business’s visibility in relevant searches. The quantity and quality of reviews serve as a key factor in determining the local SEO ranking, ensuring that your brand is more likely to be featured prominently on search engine results pages.

This increased visibility attracts more potential customers and establishes a positive first impression, as consumers often prioritize businesses with a strong and positive online presence. Effectively managing and responding to reviews becomes crucial, as this engagement not only fosters customer trust but also signals to search engines that your business is actively involved and responsive to customer feedback, further enhancing your position in search engine rankings.

Find Out Your Brand's Online Reputation Score

How to Start Managing Your Business Google Reviews

In order to start managing and receiving reviews, you first need to claim your Google My Business account. Through Google My Business, you can update essential business information such as name, address, phone number, pictures, and so forth. Here is the best way to get started with your GMB account. 

1. Claim Your Google My Business Account

Visit the Google My Business website and sign in with your Google account. If you don’t have one, create a Google account for your business. Search for your business on Google. If it’s already listed, claim the existing listing. If not, create a new one by providing accurate and detailed information about your business.

2. Verify Your Business

Google will send a verification code to your business address. This is typically done through a postcard. Once received, enter the verification code in your GMB account to confirm and authenticate your ownership.

3. Complete Your Business Profile

Fill out all relevant information in your profile, including your business name, address, phone number, website, business hours, and a concise business description. Ensure that this information is accurate and consistent with your other online platforms.

4. Add High-Quality Photos

Enhance your Google My Business profile by adding high-quality photos of your business, products, and services. Visual content can significantly impact a potential customer’s perception and decision-making.

5. Enable Customer Reviews

Finally, make sure that customer reviews are enabled in your account settings. Now you can start receiving reviews and responding to them to build your online reputation. 

How to Track Google Reviews

Tracking Google reviews can be done within the platform itself, however this is only feasible if you are a one-location business. For more developed businesses managing multiple locations, the smartest way to track your Google reviews is to utilize reputation management software. 

InMoment’s featured partnership with Google My Business allows you to have access to a comprehensive solution to monitor and manage Google business reviews, as well as reviews from other sites like Yelp, Tripadvisor, and Facebook. This CX integration gives you capabilities that include, but are not limited to:

  • Review monitoring, which pulls in and aggregates all your reviews
  • Review response, which allows companies to respond to Google reviews directly from the InMoment dashboard
  • Review generation, which helps businesses proactively ask for reviews and customer feedback through email and SMS campaigns.

How to Get the Most Out of Your Google Business Reviews

When dealing with large amounts of reviews, reputation management software allows you to be able to respond and track every review you receive. InMoment software provides a functionality for users to respond to reviews automatically, leveraging the power of AI. These response prompts can be generated based on the content of the review or brand guidelines, or they can be generated using conditional logic to change the tone and formatting. For example, a five-star review response will be different from one for a one-star review. 

However, our software does not stop at giving you the ability to respond to a large number of reviews, we also give you the power to track what is being said in those reviews. The platform meticulously monitors the number of ratings, offering insights into the overall star distribution, which is crucial for businesses gauging their online reputation. Additionally, InMoment employs advanced Natural Language Processing (NLP) and keyword extraction techniques to conduct customer sentiment analysis. This comprehensive approach enables businesses to delve deeper into the qualitative aspects of customer feedback, identifying sentiments expressed in reviews.

Track Your Google Reviews with InMoment

Google business reviews play an important role in how today’s consumers discover and judge businesses. They can also shape a brand’s online reputation, as well as reveal valuable insights into a company’s operations, showing areas where an organization can improve customer service and experience.

By tracking, responding to, and generating reviews on Google — and by applying best practices in reputation management — you can improve your brand’s search visibility, outperform competitors, and acquire more customers. Schedule a reputation management demo today to see how we can help your business! 

References 

Luisa Zhou. Online Review Statistics: The Definitive List (2024 Data) (https://www.luisazhou.com/blog/online-review-statistics/). Access 1/24/24.

In the rapidly changing consumer market, the highest customer-rated Integrated CX company, InMoment, took a bold and proactive approach. On Thursday, January 25th, we hosted the “Changing The Game” event in Austin, TX—a crucible for innovative ideas and game-changing strategies to address the consumer market in 2024 and beyond. 

The event brought in senior leadership from analytics, CX, insights, and VoC programs  from 44 different brands, all with the common goal: sharing how integrated CX is making groundbreaking changes to their companies, customer experiences, and the market as a whole. 

Dive in with us as we share key takeaways from our panels—Integrated CX: Listening Differently, ROI: Measuring Success Beyond NPS, and Reimagining CX with AI— and see how some of the biggest brands in retail, auto, hospitality, B2B, and consumer goods are reshaping their interactions with customers and setting new standards in their respective industries.

Major Hospitality Conglomerate Masters The Art of Engagement

At the heart of one of the biggest dining, entertainment, and hospitality conglomerates in the nation lies a balanced approach to customer feedback: they’ve mastered the art of both reactive and proactive engagement. 

What’s particularly remarkable is that their expansive operation of over 600 locations and reviews is managed by a lean team of two.

By responding to over 95% of negative reviews, their company guarantees that customer concerns are not just heard but addressed; the art of engaged, active listening. This reactive approach is complemented by their proactive strategy of acknowledging and responding to positive feedback—something that businesses often overlook. 

Responding to both positive and negative feedback can’t be overstated enough. Studies have shown that companies that engage with customer feedback can see up to a 5-10% increase in customer retention rates. It lets customers know that there’s a human behind your brand, and you’re open and receptive to changing your processes if inefficiencies are continually being called to attention. 

Engaging with positive and negative feedback consistently, across a vast number of locations, shows that scalability is possible with a small team if the approach is thoughtful and customer-centric.

Worldwide Furniture Retailer Redefines Comfort through Integrated CX

One of the biggest companies in the furniture space is pioneering a future where relaxation meets technology. They’re reimagining  ‘dad’s recliner’ into a modern-day relaxation experience. By merging AI with their products, they’re crafting personalized experiences that evolve with the user. 

McKinsey’s Global Survey on artificial intelligence has reported that businesses adopting AI can see a significant improvement in their performance, with some sectors witnessing profit increases of up to 20% attributable directly to AI. This isn’t just in industries like tech or finserv—this tech is breaching every market. 

Their story exemplifies that the utilization of AI can keep any business competitive and relevant by modernizing their approach. Companies like theirs can meet current consumer expectations while anticipating future needs, securing a leading position in innovation and customer satisfaction.

Major Tech Company Takes a New Angle on NPS Scores

One of the biggest, multinational tech companies in the world is utilizing every available feedback signal—reviews, call center transcripts, social media, and many more—to benchmark against the competition as well as to ensure a balanced view of feedback and signals across different areas of their own company. 

A Harvard Business Review study found that a 12-point increase in NPS leads to a doubling of a company’s growth rate. This approach, especially when applied alongside other feedback mechanisms, offers a comprehensive view of customer and employee satisfaction, enabling businesses to fine-tune their offerings and internal culture. This holistic understanding of feedback signals ensures companies stay ahead in competitive industries by maintaining a pulse on both customer loyalty and operational efficiency.

Through their comprehensive analysis of various feedback signals, they’ve created and maintained a distinct differentiation in their CX program apart from the competitors in their industry. Their detailed assessment offers deeper insights into customer loyalty and competitive positioning in the tech industry, ensuring that they have a complete and actionable view of both their business and the market as a whole. 

Top Car Manufacturer Provides a Human Touch in the Digital Age

One of the leading car manufacturers in the world spoke on a compelling narrative of human-centric customer experience. 

Amidst the digital transformation, they emphasized personal touches, like writing thank-you notes to employees. Emphasizing the employee-customer link has done wonders for their business, where appreciated employees are more engaged and happy at their jobs, which ultimately affects their customer interactions. 

The ability to offer personalized experiences is a critical differentiator for brands, particularly those where customers are dealing with high-cost, heavily-considered purchases such as automobiles and luxury goods. Personalization goes beyond mere customization of products or services; it encompasses understanding and anticipating the unique needs and desires of each customer, forging a deeper connection. 

A study by Epsilon found that 80% of consumers are more likely to make a purchase from a brand that provides personalized experiences. This statistic underscores the importance of a human touch in creating meaningful customer interactions. Brands that master the art of personalization significantly enhance loyalty and a competitive edge. In the context of high-value transactions, it can be the deciding factor that tilts the scales in a brand’s favor, with a higher probability of both a sale and a lifelong customer.

Mobility Industry Expert Reshapes Customer Experience

The journey of one of the big three in the car rental space evolved from traditional survey methods to dynamic feedback systems. Their focus on swift personalization reflects a deep understanding of modern consumer desires. 

A study by Salesforce revealed that 76% of customers expect companies to understand their needs and expectations. In this context, their company’s strategy reflects an acute awareness of modern consumer demands, emphasizing the importance of agile, responsive customer service frameworks that cater to individual needs.

They  prioritized employee well-being alongside customer satisfaction, emphasizing the importance of nurturing a growth-centric ecosystem. Their transformation signifies a broader shift in their identity, from a holdings company to a mobility company, attuned to the nuanced needs of today’s consumer.

Energy Leader Finds AI at the Forefront of Customer Service

A key player in the U.S. energy sector focused on how AI is revolutionizing how call center operations are managed and optimized, particularly in the processing and comprehension of call transcripts. 

InMoment’s toolkit excels in extracting meaningful data from these transcripts, which are often unstructured and varied. The algorithms sift through the data, identifying key themes, customer sentiments, and specific queries, unifying them in a holistic view. This process involves not just transcribing words, but also understanding the context and nuances of each conversation. 

Going a step further, their  AI-powered predictive analytics have been at the forefront of interpreting and extrapolating on data in real-time, helping brands gain a competitive advantage in the ever-evolving marketplace. 

It goes beyond data analysis by setting the foundation where decisions are anticipated, and deeper understanding of current trends helps mitigate future risk. The strategic use of this technology to inform decision-making processes is an advanced approach to business strategy.

As a result, what was once a simple record of customer interactions becomes a rich source of insights, allowing for a deeper understanding of customer needs and experiences.

With AI assisting in call center operations and making systems more optimized, they’re not just retaining loyal customers but also setting a new standard in an industry with historically poor customer feedback mechanisms. Their approach reflects a deep understanding of the need for efficient and personalized customer interactions in the coming decade.

Footwear Retailer Utilizes Unstructured Data as a Training Tool

One of the largest sneaker retailers in the country was one of the earliest adopters of Spotlight, by InMoment. This AI-powered CX software captures and analyzes all customer feedback signals to deliver stronger, more actionable customer experience insights. Like the company mentioned in the previous section, this retailer is also using this tool to pull unstructured data from call transcripts, and taking strategic actions based off of the analyzed data. 

According to IBM, 90% of all data generated by devices such as smartphones, tablets, and connected vehicles is unstructured. The untapped potential of unstructured data is staggering. Leveraging AI to analyze this data, companies can significantly enhance their understanding of customer experiences, leading to more informed decisions and better-aligned strategies.

By using real customer complaints as part of their training, this company ensures that their employees are well-informed and empathetically aligned with customer needs. This approach is a brilliant use of data to enhance customer interactions.

A New Era of Customer Experience

The InMoment (integrated) Experience | Changing The Game was more than a gathering of industry leaders; it was a showcase of the future of customer experience. Each brand, in its unique way, demonstrated that innovation, whether through technology, human touch, or the combination of both, is key to staying relevant and creating customer experiences that drive loyalty. 

As these brands continue to push the boundaries, they’re not only changing the game for themselves, but setting new and revolutionary standards for consumers. It marks the dawn of an era where innovation transcends tradition, compelling the entire industry to follow suit or risk obsolescence. They’re not just leading the change–they’re becoming the change—inspiring a future where excellence in CX is not an aspiration but a given.

Ready to revolutionize your customer experience strategy? Discover how InMoment’s integrated CX solutions can empower your business to listen differently, measure success beyond traditional metrics, and reimagine customer interactions with the power of AI.

Schedule a Demo Today

Close up of businessman using a laptop with graphs and charts on a laptop computer.

Data is gold. Data is truth… but data is useless if you can’t rely on it. 

Understanding customer and employee sentiment is more than just a competitive edge—it’s essential, with companies in every industry and sector focusing resources on comprehending it. 

We have a revolutionary tool that we’d like to share, one that has helped businesses large and small navigate this space. InMoment Advanced AI turns diverse data streams into valuable insights companies can use for their strategy. It’s been the change clients in various fields have relied on. So for starters…

What is InMoment Advanced AI??

InMoment Advanced AI is a comprehensive data analytics tool that integrates and analyzes structured and unstructured data using advanced Natural Language Processing (NLP) and AI. It offers a deep understanding of customer and employee feedback, transforming complex data into clear and actionable insights. 

Central to InMoment Advanced AI’s functionality are predictive analytics and customizable dashboards, which enable businesses to understand current data trends and anticipate future customer patterns and behaviors across these data sets. 

InMoment Advanced AI’s power lies in its ability to analyze both historical customer experience data and real-time data sources like social media and reviews. This dual capability offers businesses an advantage over competitors who may excel in historical data analysis or current data interpretation, but struggle to integrate both into timely insights. InMoment Advanced AI’s integrated approach provides a comprehensive view, turning past and present data into powerful, actionable insights for immediate strategic impact.

InMoment Advanced AI enables businesses to process virtually any type of content, enrich and understand that content, and visualize it through a powerful set of dashboarding tools. The engine that enables this enrichment uses AI and NLP to understand the content and derive valuable metadata, including: intent prediction, effort signals, and emotion detection. 

Let’s go over what these are and their broader implications.

Intent Prediction

Intent prediction is a crucial component of data analysis, focusing on deciphering the underlying intentions behind customer interactions. This technology uses deep learning models to predict a customer’s future actions or needs. 

For example, in customer service interactions, intent prediction can determine whether a customer is likely to purchase, seek support, or churn. By understanding these intentions, businesses can proactively address customer needs, enhancing the overall customer experience and increasing sales and customer satisfaction.

Effort Signals

Effort signals involve analyzing customer interactions to gauge the degree of effort a customer exerts in their journey. This metric is key in understanding customer satisfaction and loyalty, as higher effort levels correlate with negative customer experiences. 

By analyzing data such as the length and complexity of customer service interactions, businesses can identify areas where customers face difficulties. Addressing these high-effort points can significantly improve the customer experience, increasing satisfaction and loyalty.

Emotion Detection

Emotion detection is identifying and analyzing emotional states in customer interactions. This aspect of sentiment analysis uses a BERT deep learning model to assign an emotion to the speaker or subject of a sentence or thought. 

This technology can distinguish between emotions like happiness, frustration, or disappointment. Emotion detection helps businesses tailor their responses and strategies to align with customer emotions, enhancing personalized customer experiences and building stronger emotional connections with the brand.

Types of Data

Structured: The Backbone of Predictability

Structured data is the cornerstone of conventional data analysis, representing the world of quantifiable and measurable information. Characterized by its specific, organized format, structured data neatly aligns in rows and columns, reminiscent of spreadsheets or relational databases. This meticulous arrangement makes it well-suited for quantitative analysis, offering clear, objective, and mathematical insights into various aspects of business and customer behavior.

It is the language of logic and mathematics, offering a clear, structured view of the world that is easily interpreted by computers. Its strength lies in its straightforward aggregation and manipulation, allowing businesses to accurately quantify and measure trends, performance metrics, and other key indicators.

This data type is the foundation of data-driven decision-making, enabling enterprises to translate complex phenomena into understandable metrics. While it might lack the nuanced storytelling of unstructured data (we’ll get there in a second), structured data offers the definitive “what” in the story of customer and business interactions—the concrete, quantifiable facts that are essential for informed strategy and planning.

Unstructured: The Streaming Thoughts of Your Everyday Life

Unstructured data, the most raw and unrefined form, is abundant and profoundly human by nature. Emerging from sources rich in personal expression like open-ended survey questions, reviews, social media, and SMS messages, this data type offers a window into the authentic human experience. 

According to IDC, The Digital Source, 85% of customer data is unstructured and it’s growing at 55% per year, highlighting the vast and rapidly expanding landscape of human communication that structured data cannot capture. Tools like InMoment’s Advanced AI are essential in harnessing this wealth of information, translating natural language complexities into actionable insights, and unlocking the deepest understanding of customer experiences and needs.

What sets unstructured data apart is its embodiment of language. It directly reflects our unfiltered and unstructured thoughts in their most natural state. While structured data can be seen as the mathematics of human behavior, unstructured data is pure, unadulterated human communication.

This richness, however, presents a challenge: unstructured data is the hardest for computers to decipher, as it requires understanding nuances, context, and the subtleties of human language. Despite this complexity, our deepest and most meaningful insights lie in these unstructured narratives. Tools like InMoment’s Advanced AI are essential in harnessing this wealth of information, translating natural language complexities into actionable insights, and unlocking the deepest understanding of customer experiences and needs.

Bringing Them Together: The Full Story

Integrating structured and unstructured data is a key aspect of InMoment Advanced AI and, arguably, its strongest feature. Structured data provides precise, quantifiable insights, such as the exact factors contributing to customer churn

While structured data gives you the numbers, unstructured data provides the “why” behind these figures. It’s found in customer verbatims and feedback, revealing the customers’ personal stories, opinions, and suggestions. It’s the narrative that puts context and meaning behind the numbers. But on its own, unstructured data can be overwhelming and hard to navigate to find the most impactful insights.

Combining structured and unstructured data tells the full story. This integration allows businesses to quantify aspects of the customer experience and understand the underlying reasons behind these metrics. With InMoment Advanced AI, companies can sift through the rich, detailed narratives in unstructured data, guided by clear, actionable insights from structured data. This holistic approach enables a deeper understanding of customer needs and preferences, leading to more informed and effective business decisions.

InMoment Advanced AI bridges the gap. 

Spotlight Addresses Key Business Challenges

Understanding and Predicting Customer Behavior

We mentioned this earlier, but we’d like to go more in-depth—this one’s important. One of the paramount challenges businesses face today is their inability to predict future customer behaviors. InMoment Advanced AI  excels in this area using AI-powered, advanced analytics and machine learning algorithms. 

According to Gartner, by 2025, customer service organizations that embed AI in their multichannel customer engagement platform will elevate operational efficiency by 25%, underscoring the efficiency gains possible with advanced AI solutions. This capability enables businesses to move beyond surface-level insights, delving into predictive analysis that anticipates future customer actions and preferences.

By understanding these predictive patterns, companies can tailor their strategies proactively, ensuring they are always one step ahead in meeting customer needs and expectations. This forward-looking approach is vital for maintaining competitive advantage and fostering customer loyalty.

Data Unification and Analyzation: A Single Source of Truth

Data silos are a significant barrier to effective decision-making in many organizations. 

Tyler Saxey, Director of CX at Foot Locker, states, “InMoment now ticks all of the boxes. InMoment AI solves for any previous text analytics issues. Analyzing call transcripts and getting to the root cause brings a big ROI.” InMoment Advanced AI addresses this issue head-on by offering data unification capabilities, consolidating data from various sources and providing a comprehensive and unified view of customer information. This holistic approach is vital for creating consistent and effective customer experiences across all touchpoints.

By breaking down these silos, InMoment Advanced AI ensures that all decisions involve a complete and accurate picture of customer data—no decisions are made in isolation. This unified view is invaluable for creating consistent and effective customer experiences across all touchpoints.

Regulatory Compliance: Ensuring Communication Standards

We live in a time with increased scrutiny of companies’ regulatory compliance. InMoment Advanced AI is essential in ensuring that customer communications meet the necessary standards. This aspect is crucial for highly-regulated businesses in industries like finance, healthcare, and telecommunications. 

InMoment Advanced AI can help monitor and analyze customer communications, ensuring they adhere to industry regulations and standards. This compliance monitoring not only helps avoid potential legal issues but instills trust among customers, who are increasingly concerned about how their data is handled and used. With nearly 65% of the world’s population expected to have its personal data covered under modern privacy regulations by 2023, up from 10% today, according to Gartner, the importance of incorporating advanced AI for regulatory compliance cannot be overstated.

Why Spotlight is Essential for All Businesses 

Enhancing Experiences: Tailoring Strategies for Satisfaction and Loyalty

InMoment Advanced AI significantly enhances customer and employee experiences. 

Tony Darden, COO of Jack in the Box, shares, “The use of the InMoment AI solution will allow us to easily analyze feedback in all its forms to receive more detailed and immediate insight from a wider variety of guest experiences. Our team is focused on using the additional insight to make business decisions without delay—having a faster time to guest improvement that will positively influence their experience with our brand leading to increased loyalty.” 

By leveraging advanced analytics to understand sentiment and feedback, businesses can tailor their strategies and offerings to better meet their customers’ and employees’ needs and expectations.

Reducing Churn: Anticipating and Addressing Customer Needs

Customer and employee churn is a major challenge for businesses, resulting in lost revenue and increased recruitment and training costs. InMoment Advanced AI’s predictive analytics capabilities play a vital role in identifying the early signs of dissatisfaction or disengagement. By anticipating these factors, businesses can proactively address issues before they lead to churn. This proactive approach helps retain customers and ensures that employees feel valued and engaged, reducing the likelihood of them seeking opportunities elsewhere.

Strategic Decision-Making: Prioritizing Initiatives for Maximum Impact

Data-driven decision-making is at the heart of modern business strategies. InMoment Advanced AI provides comprehensive insights that help businesses prioritize their initiatives, focusing on areas yielding the greatest cost savings or revenue increases. These insights guide businesses in allocating resources effectively, whether it’s refining marketing strategies, optimizing operational processes, or enhancing customer service. By basing decisions on solid data, businesses can maximize their ROI and align their strategies with their overall goals.

The Takeaway: A Holistic Approach for a Winning Strategy

InMoment Advanced AI’s ability to integrate data across multiple channels is a game-changer, providing a unified view of information from various sources. This cross-platform integration is crucial for strategic planning and executive decision-making. It allows businesses to make informed decisions based on a comprehensive understanding of their operations, market trends, and customer behaviors. 

By breaking down data silos, InMoment Advanced AI ensures that a complete and accurate picture of the business landscape backs every decision. A study by McKinsey & Company found that companies that utilize customer analytics comprehensively are 23 times more likely to outperform competitors in terms of new-customer acquisition and nine times more likely to surpass them in customer loyalty.

InMoment Advanced AI’s ability to transform this unified data into actionable strategies makes it indispensable. Its benefits are wide-ranging and impactful, from enhancing experiences and reducing churn to aiding in strategic decision-making and facilitating cross-platform data integration. Adopting InMoment Advanced AI is not just a step towards better data analysis, but a leap towards a more informed, customer-centric, and efficient business model.

For businesses considering Spotlight:

  • How are you currently gathering and interpreting customer and employee feedback?
  • What tools are in use for understanding customer and employee experience?
  • How is this data being used to drive experience initiatives?

A Final Word

InMoment’s InMoment Advanced AI stands out in the realm of customer experience management. Its ability to harness structured and unstructured data, combined with advanced analytics, positions it as an indispensable tool for businesses aiming to enhance customer engagement and make data-driven decisions. 

Adopting InMoment Advanced AI translates into not just collecting feedback but transforming it into a strategic roadmap for business success. Stay ahead of the pack and contact us to learn more about how InMoment Advanced AI can directly impact your business.

How to Select the Best Customer Experience Management Software

Customer experience management (CEM) involves overseeing and improving the interactions between a business and its customers. The best CX management software understands and addresses customer needs, preferences, and feedback. They aims to enhance customer satisfaction and loyalty. Effective CEM strategies can lead to increased customer retention and positive brand perception.

Did you know that 92% of CEOs agree that customer experience (CX) improvements have a direct impact on their bottom line? It’s clear that a customer experience program is no longer a luxury, but a necessity. 

The process of choosing the best customer experience management software can be tricky and extensive, so there are some things you need to keep in mind as you work to discover a CX solution that works for your business. 

Benefits of Customer Experience Management Software

Delivering consistent, memorable experiences is no longer a luxury, it’s a necessity. Consumers are more likely to become repeat customers if they have great experiences. But, in order to achieve this, you need an actionable customer experience strategy. That is where customer experience management software comes in. Customer experience management (CXM) software offers several benefits for businesses aiming to enhance their customer interactions and satisfaction such as:

  • Improved Customer Satisfaction: CXM software helps businesses understand customer needs, preferences, and expectations. By addressing these effectively, businesses can enhance overall customer satisfaction.
  • Enhanced Customer Loyalty: By consistently providing positive experiences, CXM software contributes to building customer loyalty. Satisfied customers are more likely to become repeat customers and advocates for the brand.
  • Reduce Customer Churn: According to research by PwC, customers are willing to pay up to 16% more for products or services from companies that offer a better customer experience. Additionally, research by Temkin Group indicates that companies that excel at customer experience have a 16.9% advantage in customer retention rates over companies that provide a poor experience.
  • Personalized Interactions: CXM software allows businesses to collect and analyze customer data, enabling personalized interactions. Personalization enhances the customer experience by delivering relevant content, recommendations, and offers.
  • Brand Differentiation: Providing an exceptional customer experience through CXM software can set a business apart from competitors. Positive experiences contribute to a positive image, and improved brand reputation management, which aids in differentiating your brand in the market.
  • Employee Engagement: Happy and engaged employees are more likely to provide better customer service. CXM software can also contribute to employee satisfaction by providing tools and insights to enhance their ability to serve customers effectively.

How to Choose the Best Customer Experience Management Platform

Choosing the right customer experience management is a critical decision for businesses aiming to elevate their customer interactions. A robust CXM platform can significantly impact customer satisfaction, loyalty, and overall business success. But, choosing the right partner for your business is a complex process. In order to ensure you choose the right vendor, there are some preliminary steps you need to take. 

Look at Third-Party Evaluations

When evaluating CXM platforms, it’s essential to consider third-party evaluations and industry reviews. Independent research firms like Forrester and Gartner provide assessments, such as the Gartner CX Magic Quadrant, that provide valuable insights into the strengths and weaknesses of different platforms, helping you make an informed decision. Look for reviews from reputable sources, industry analysts, and customer experience experts. Assessments often highlight features, scalability, integration capabilities, and overall performance. By leveraging third-party evaluations, you can gain a well-rounded perspective on the platforms you’re considering, ensuring that your choice aligns with industry standards and best practices.

Look at Customer References

Another crucial aspect of selecting a CXM platform is examining customer references. Real-world experiences from businesses similar to yours can offer unparalleled insights into the platform’s practicality and effectiveness. Focus on understanding how the platform addressed their specific needs, the level of support provided, and any challenges faced during implementation. Customer references provide a firsthand account of the platform’s performance in diverse business environments, aiding you in making a decision that aligns with your unique requirements. 

For example, if you are looking for an example of how a customer experience platform helped a large organization put loads of data into one place, look no further than Foot Locker. Foot Locker utilized InMoment’s AI technology to gather data into one place, and sort by sentiment so that customers with negative experiences could be contacted and prevented from churning. 

Look at Their Integrated CX Offering

When considering a CXM platform, it is important to choose a partner that will allow you to do more than one thing. You don’t want a partner who can only do surveys or contact center optimization, you want a partner who will give you an end-to-end look into the customer journey. 

That is why Integrated CX is so important. Integrated CX allows you to bring in data from multiple sources into one central location. From there, you can uncover holistic insights that lead to data-driven decisions. 

10 Questions to Ask CX Companies

When in discussions with your top CX companies, it is important that you delve deeper into their specific product offerings and understand how they go about supporting their customers. You want to ensure that you have a dedicated partner that will help you reach your goals, not just a platform that you will be left in the dark with. In order to do so, make sure you ask questions that will allow you to make an informed decision on a vendor that will work best for you. 

1. What Percentage of Your Total Customer Base Relies on You for Enterprise CX Programs?

When you’re looking for a partner in business, you want them to be an expert in their field. This holds true for customer experience, yet some major companies only dedicate a small percentage of their resources to CX expertise. For example, some major companies claim to specialize in CX, but really the vast majority of their business is devoted to market research. For great customer experience, pick a vendor that is 100% dedicated and will not be distracted by other ventures.

2. What Percentage of Those Customers Have Been With You for Over Three Years?

Some vendors will tout big numbers of clients, but the information that really matters is how long those clients have been with the company. With a strong partner, you get what you were promised and clients are more likely to stick with them longer. Get past the smoke and mirrors and find the right vendor by asking about client longevity.

3. How Many of Those Customers Exceed 1 Million Interactions with You?

If you’re an enterprise, you want to differentiate those who say they can handle a large program with over a million responses and those who are just running a small research survey at

a big company. So how do you tell? Some companies will charge extra with “custom pricing” for responses over 1 million, which highlights their high cost of business and limited experience. You want a partner who doesn’t blink at 1 million.

4. Who Specifically Will Provide Implementation and Strategic Consulting Services?

Continuing the point from the previous question, it’s one thing to claim to be collaborative, but another to have a blueprint for partnership. Ask who specifically will be helping you implement your technology and help you map out your CX strategy to pick out the vendors who walk the walk, not just talk the talk.

5. How Often Will Those Resources Be Available to Us? At What Rates?

Strategy sessions and check-ins are vital to a healthy partnership with your CX vendor. Though they’re vital, many vendors charge extra for the bare minimum amount of sessions. It’s best to clarify that these partnership best practices are included in your contract, rather than an add-on that will cost you more than a pretty penny.

6. Will We Be Charged for Survey Responses? Why?

Some major vendors in the CX industry do not charge you as you’d expect. They don’t charge you based on the number of surveys you send or other elements, but by the number of survey responses you get. If you’re thinking this seems backwards you’d be right, especially seeing as the number of survey responses you’ll get is difficult to estimate going into a contract.

7. What Happens if We Over or Underestimate Our Responses? 

When you sign a contract with a vendor who charges based on the number of survey responses, there is a high probability that you will overestimate and therefore pay more money for services you don’t need. However, these companies do not offer any refunds; in fact they charge steeply if you overestimate. Weed these vendors out to make sure you aren’t backed into a very expensive corner.

8. Are We Subject to Any Parent Company’s Policies and Contracts?

This question is especially relevant due to recent acquisitions across the CX landscape. Now more than ever, it’s important to know if you’re partnering with just the technology vendor or if you’re signing something that makes you beholden to a parent company’s interests and policies. Ask this question to clarify if your vendor is working for you or for their parent company.

9. Can We Review the 24-month Product Roadmap?

Crafting a roadmap for your initiatives is necessary to not only get the quick wins you need, but to set long-term goals. However, not even CX professionals can see the future. There will be unexpected events that may necessitate adjustments to your roadmap, yet some vendors don’t allow tweaks to the plan. Clarify this with your vendor to make sure your program is future-proofed.

10. Which Customers Can We Speak to Verify Your Responses?

Strong partners create strong advocates. It’s as simple as that. Ask prospective vendors if you can speak to current customers and the best of them will refer you to an advocate that will be more than happy to tell you about their experience.

How Customer Experience Management Started

At its simplest, customer experience management is a broad term that refers to evaluating and managing a customer’s every interaction with a brand. Though many companies have taken strides to provide great customer experiences for many years now, the idea of customer experience management as its own science or discipline really didn’t come about until the early 2000s. 

That’s about when advancements in technology allowed customer experience to go from being an abstract goal to something more quantifiable. Suddenly, companies everywhere could use the internet to track site visits and other metrics, opening up a whole new dimension to the idea of caring for customers. If these elements were quantifiable, that meant they could be managed. And if they could be managed, then perhaps they could be meaningfully improved to create a bolder, more human, and more invested relationship with every customer!

Though today’s conversation focuses on customer experience management, it’s important to remember that this technology and science doesn’t ‘just’ apply to customers. Many brands also use tune experience management tools to their employee experiences. The idea with this approach is to create a better workplace culture, reduce employee churn, and create the same kinds of fundamental relationships with workers that brands aspire to build with customers.

Customer Experience Management’s Early Days

Now that they were armed with the technology needed to evaluate a lot of customer experiences in little time, companies turned their attention to the next frontier of feedback collection: digital surveys. Surveys had, of course, been around for a long time, but mailing them out or publicly soliciting customers to take them on the spot was expensive and produced inconsistent results. 

Suddenly, though, these companies had access to newly developed survey deployment technologies and, before too long, tools that allowed them to build their own questionnaires. Both approaches, combined with email, suddenly made sending massive numbers of surveys directly to customers much simpler and much more cost-effective. Surveys thus became a cornerstone of customer experience management, a role they still have to this day!

Customer Experience Management’s Continued Evolution

With these new survey tools, methods, and partnerships in hand, brands rolled up their sleeves and got creative in the pursuit of feedback. Whether it was promising a free soda upon survey completion or a discount the next time customers came in, countless organizations spent the 2000s attempting to gather as much feedback as possible. 

At this point, the terms “customer experience” and “customer experience management” weren’t as ubiquitous as they are now. Rather, a lot of organizations and the vendors that provided survey tools used phrases like “brand protection” to describe why it was important to adopt an approach like this. Over time, though, the term “customer experience” became a mainstay of this discipline, and terms like “customer experience management” soon followed. Because of the employee experience approach we mentioned earlier, it’s common nowadays for this science to be referred to simply as experience management (XM).

The Rise of Big Data Within Customer Experience Management

Once organizations got their feet wet building surveys, analyzing data, and figuring out how to incentivize customers and employees to respond, they had to take the next step in the customer experience management journey: making sense of feedback. No small task, especially when the field was in its infancy, but both brands and experience vendors were determined to make sense of all the feedback they were receiving.

This was about the point that the term “big data” entered the experience conversation, and it became a bylaw of experience programs throughout the late 2000s and early 2010s. Having a ton of data was suddenly all the rage, and organizations spent a great deal of time and money gathering mountains of it in pursuit of better customer experience management. Frankly, there was no tech or business problem that a lot of brands thought they couldn’t solve just by throwing data at it.

However, this is the part of the story where the customer experience management revolution ended up stalling out for a lot of brands. They’d gathered lots of data, yes, but what a lot of these brands and the vendors that partnered with them didn’t quite grasp at the time is that big data alone cannot solve your business and customer experience problems. Nonetheless, big data remained the north star of many experience programs, which, frankly, is why a large number of them failed.

Customer Experience Management Hits a Plateau

After it became apparent that simply gathering data and feedback from surveys didn’t bridge the gap to actually fixing problems, the next step for customer experience management vendors and their clients was figuring out how to, well, fix problems. These brands had business challenges, and they had big data. What did building a connection between the two end up looking like?

The truth is that, whether back in the day or right now, a lot of organizations still haven’t quite figured that out. You might say that brands should simply take a look at their data and infer solutions from there, but for many companies, their big data is literally too big to make that idea feasible. There’s simply too much noise and no easy way to find signals in it. Or at least… that was the case until relatively recently.

Going Beyond Customer Experience Management 

Until the last few years, one of the biggest bywords of customer experience management was basically to gather as much data as possible and hope that brands could use it to adequately react to customer and employee complaints after the fact. This philosophy played out in the form of customer experience teams who kept their data siloed or vendors who offered entirely reaction-based and DIY solutions without much customizability or human expertise.

At InMoment, however, we believe that the experience management story should be an Experience Improvement (XI) revolution. As you’ve seen by now, while data and metrics are certainly very important, just having a large pile of them doesn’t actually translate to solutions for business challenges, customer relationships, employee retention, or countless other experience factors. Successful customer experience management demands much more.

From Customer Experience Management to Experience Improvement

There are a few factors to bear in mind for making a difference with your customer experience management. The first is to remember that truly great experience management doesn’t start with gathering data; it starts with figuring out which tangible business goals you need your program to accomplish. We call this designing with the end in mind, and it’s a strategy that will make your data so much more manageable than older approaches aimed at gathering as much of it as possible.

This strategy will also result in much more relevant customer sentiment, which is key to understanding what they love (and don’t love) about their experiences with your brand. You can then apply this heightened understanding toward meaningful transformations within your business and its associated customer journeys, realizing that success in the form of those goals we mentioned earlier (retention, acquisition, saving costs, etc.).

That idea of being selective with your data, as well as proactively sharing the data you do gather, feeds directly into the very best elements that effective customer experience management and Experience Improvement have to offer. More accurate personas, better defined marketing segments, better touchpoint evaluation, and knowing what your customers want before they themselves do are but a few perks to this approach.

InMoment as a CX Partner 

InMoment has best-in-class NLP capabilities and has the highest user ratings of all Voice of the Customer companies according to Gartner Peer Insights. Schedule a demo today to see what we can do for your business! 

References 

Dimension data. (https://www.dimensiondata.com/en-us/insights/blog/how-ai-analytics-and-cloud-can-elevate-customer-experience). Access 1/25/24.

PwC. Experience is everything. Get it right. (https://www.pwc.com/us/en/services/consulting/library/consumer-intelligence-series/future-of-customer-experience.html) Accessed 7/29/24.

REPORT

InMoment Named a Leader in The Forrester Wave™: Text Mining And Analytics Platforms, Q2 2024

InMoment’s platform and personnel have been recognized by Forrester as “major players in the text mining and analytics market.” With a platform proficient in text mining as a way to pull insights from customer feedback, and a team determined to add value and improve business performance, InMoment is leading the charge in the text mining and analytics industry.

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The Google Local Guide Program: How It Impacts Your Reputation Management Strategy

The Google Local Guides program can enhance the quality of your business information as well as support your company’s online reputation management strategy.

The Google Local Guide program features a global community of users that companies can engage with to support their marketing activities, build brand reputation, manage online reviews and ratings, and improve online search visibility and exposure.

While the impact of Local Guides on brand reputation management strategy is largely dependent on the quality and quantity of the contributions from the Guides, businesses can respond to these contributions and leverage the program to enhance their online presence and manage their reputation. 

What is the Google Local Guide Program?

The Google Local Guides program is a community-driven initiative by Google that encourages users to contribute information about local businesses, places, and attractions. Participating users are called Local Guides, and they share their knowledge and customer experiences by writing reviews, adding pictures and videos, updating information found on business listings, and answering questions about various locations on Google Maps.

Local Guides earn points for their contributions, which they can accumulate and use to unlock different levels within the program. Each level comes with various Local Guide benefits and perks, such as early access to new Google features, exclusive events, and special promotions or discounts. 

The Google Local Guide program is designed to improve the accuracy and completeness of local business information on Google Maps, all while fostering a sense of community among users who are passionate about sharing their insights about and experiences of the places they visit.

By participating in the Local Guides program, users help enhance the overall quality of information available on Google Maps, making it more useful and reliable for people seeking details about businesses, landmarks, and other points of interest in different locations around the world.

How Do Customers Become a Local Guide?

Anyone with a Google account can become a Local Guide. To start making contributions, users simply have to download the Google Maps app on a mobile device or access it through a Web browser. To join the program, users can follow these steps:

  • Open Google Maps and sign in with your Google account. 
  • Tap on the three horizontal lines in the top-left corner to open the menu. 
  • Scroll down and select “Your contributions.” Tap on “Join Local Guides” and follow the instructions to sign up for the program.
  • Alternatively, users can sign up by visiting https://maps.google.com/localguides/. 

To earn points and enjoy Google Local Guide benefits, users can score a place with ratings, describe their experience with reviews, share photos and videos, respond to questions about certain places, submit edits to help update business information, add missing places, or verify information by checking facts.

The Local Guides program is for individuals, not businesses. Contributions from businesses or business pages will not count towards Local Guides levels or benefits.

Google Local Guide Benefits and Perks

Local Guides earn points for every contribution they make on Google Maps. The more points they accumulate, the higher their Local Guides level will be. Here is a list of the types of contributions that Google Local Guides can make, alongside the corresponding number of points per contribution.

  • Review: 10 points per review 
  • Review: with more than 200 characters: 10 bonus points per review 
  • Rating: 1 point per rating 
  • Photo: 5 points per photo 
  • Photo tags: 3 points per tag 
  • Video: 7 points per video 
  • Caption (In photo update): 10 points per caption 
  • Answer: 1 point per answer 
  • Respond to Q&As: 3 points per response 
  • Edit: 5 points per edit 
  • Place added: 15 points per place added 
  • Road added: 15 points per road added 
  • Fact checked: One point per checked fact

Levels range from 1 to 10, and as users reach higher levels, they may unlock additional benefits. At Level 4, users will be able to unlock their first Local Guides badge, which helps their contributions to places get noticed. 

Google Local Guide benefits and perks include early access to features and services on Google Maps, discounts on Google products, invitations to special events, parties, and meetups, eligibility to test new Google products and services before public release, and thank-you gifts for high-quality contributions to Google Maps. Some Local Guides even receive additional Google Drive storage as a perk.

How the Local Guide Program Contributes to Local Business Listings

Google Local Guides contribute to the accuracy and completeness of local business information on Google Maps, making it easier for others to find what they’re looking for, while also helping support businesses by enhancing their discoverability and search visibility. 

In short, Local Guides help make Google Maps, an important business discovery platform, work better. 

By actively participating in the Local Guides program, contributors play an important role in enhancing the quality of information available on Google Maps. This, in turn, benefits both businesses and users looking for reliable and accurate details about local establishments. The program relies on the efforts of Local Guides to keep local business listings (officially called Google Business Profiles) comprehensive and helpful.

Google Local Guide: Implications on Reputation Management

The type and quality of contributions that Local Guides make can work in your favor and support your online reputation management strategy. Here are some of the ways the Local Guide program impacts the reputation of businesses, no matter the size and category.  

Detailed Reviews and Ratings

Positive reviews written by Local Guides can help enhance your brand reputation, while negative feedback can drive away potential customers. 

Interestingly, Local Guides’ reviews and ratings tend to show up at the top of listings because the content is usually longer and includes photos and videos; they also contribute to the overall star rating displayed prominently on Google Business Profiles and Maps listings, which can influence potential customers’ decisions. 

Find Out Your Brand's Online Reputation Score

Online Search Visibility and Exposure

Google Business Profiles with a steady stream of positive reviews and a substantial amount of information provided by Local Guides may see an increase in visibility on Google Maps and other Google services. This improved visibility can attract more potential customers.

Moreover, businesses that attract active participation from Local Guides may experience higher levels of user engagement on Google Maps. Detailed reviews, helpful information, and updated details about a business can encourage users to interact more with the Business Profile to ask questions, get directions, book an appointment, and more.

Brand Trust and Credibility

Content generated by Local Guides can also contribute to your brand credibility and trustworthiness. Users often rely on reviews from real customers to make informed decisions about where to go and what services to use. By having user-generated content published by Local Guides on your Google Business Profile (instead of promotional brand content), you can inspire greater consumer trust and confidence. 

Local SEO Impact

Whether it’s a review, a set of photos and videos, answers to Q&As, or image captions, content generated by Local Guides can positively impact your business locations’ search engine optimization (SEO) performance. If your Google Business Profile features more detailed and positive content from Local Guides, you may be able to rank higher in local search results.

Community Building

Brands that actively engage with the Local Guides community may foster a sense of community support. This engagement can lead to more positive interactions with customers and potentially create brand advocates within the Local Guides community. 

Customer Experience Management

While positive reviews can be beneficial, negative reviews from Local Guides can also provide valuable customer feedback for companies as they try to identify areas for improvement. Responding to reviews, especially constructive criticism, can show that a business is proactive in addressing customer concerns. More importantly, unsolicited feedback shared by vocal customers can serve as a valuable source of insight into how to deliver better customer experiences. 

How to Drive Google Local Guides to Your Business

Spotting a Google Local Guide in person is tricky unless you recognize their face from their profile photo. The key to getting recognition from a Local Guide is to treat all your customers like one, working to exceed their expectations and deliver great experiences. 

Here are some keys to successfully engaging with Google Local Guides:

  • Manage your Google Business Profile. Optimize your Business Profile with correct, complete, and up-to-date business information. At the top of the list of updated items should be the business name, address, operating hours, and phone number.
  • Respond to reviews. Local Guides (and, in general, all of your customers) care about being responded to. In fact, according to InMoment research, 53% of customers expect a review response within 7 days. But as much as 63% say that they have never heard back from a business after leaving a review. Timely review responses can immediately improve consumer perception of your business.
  • Don’t incentivize or buy reviews. Contributions from Local Guides as well as from your customers should happen organically. Don’t buy Google reviews or get into the practice of creating incentivized, fake reviews just to capture more feedback. Both methods violate the Google review policy, and government agencies and regulators like the FTC are cracking down on companies using these methods by handing out massive financial penalties.
  • Publish Google Posts. By incorporating Google Posts into your listing management strategy, you can attract more customers while signaling to Google that your business is active and engaged. Regular updates ensure your profile remains fresh, complete, and relevant.
  • Analyze Local Guides’ feedback for insights. Candid, authentic, detailed feedback from Local Guides can help your company achieve a more complete, accurate, and integrated picture of the customer experience. Text content found in reviews, in particular, holds rich information that you simply cannot ignore. Focus on how you can gather actionable insights from Local Guides’ reviews, as well as how you can address challenges based on the information available.

Drive Engagement with InMoment’s Reputation Management Software

Your company can gain a competitive edge by learning how to capitalize on content generated by the Google Local Guide program. With InMoment’s local listings management software, you can drive higher engagement levels with Local Guides, build a stronger brand reputation, achieve greater search visibility for your business locations, and leverage AI-powered technology to capture powerful customer experience insights — all from one powerful software platform.   

Revolutionizing Retail with AI-Driven Customer Experiences

AI has rapidly evolved from a concept to a crucial tool in retail, allowing retailers to deliver personalized experiences through data-driven insights. However, this transformation also introduces challenges, such as balancing personalization with privacy and ensuring transparency to maintain consumer trust.
Hand holding a phone that is scanning a retail store

Artificial Intelligence (AI) was no more than a vague, abstract concept for the vast majority of people until recently. Today, AI has gone mainstream, infiltrating both our personal and professional lives.

While still in its infancy, AI is transforming the way businesses across all sectors and industries engage with their customers. Retail is one industry that’s experiencing major disruption.

How Retail Companies Can Use AI to Improve Customer Experience

Retailers have no shortage of data, but they often struggle to make sense of disparate sets – much less identify ways to leverage that data to optimize the customer experience. Integrated CX platforms, powered by AI, have the ability to analyze and interpret these vast, disjointed data sets. Retailers that strategically leverage these platforms, and other AI-powered tools, are better equipped to deliver outstanding experiences throughout the customer journey.

Let’s dive into the role of AI and integrated CX in shaping retail customer experiences – and how this winning combination is empowering retailers to deliver intelligent, outstanding experiences that attract, convert, and retain customers. 

Ultra-Personalized Experiences for Every Shopper 

In the world of retail, generic, one-size-fits all communication and experiences were once the norm. A retailer would air a commercial on TV or run an ad in a magazine – and cross their fingers that it would resonate with at least a portion of viewers. 

Today, generic experiences no longer cut it. 

Retail consumers expect, and sometimes demand, experiences that are tailored to their unique needs and preferences. What’s more, they expect a brand to keep pace as their needs and preferences evolve over time.

Integrated CX platforms, powered by AI, unify customer signals from a myriad of sources, including historic transactions, different types of surveys, reviews, social media interactions, and more. Collectively, those signals provide a complete, 360-degree view of each customer. Retailers can tap into this holistic view to power ultra-personalized experiences for every customer.

Efficiency Across All Touchpoints

The way consumers interact with retailers (and want to interact with them) is evolving. During the pandemic, this evolution accelerated.

Browsing and buying in a brick-and-mortar store was once the default, but today, is far from reality.

They’re engaging with brands via mobile browsers, apps, messaging channels, and social media—just to mention a few. They expect instant feedback–-whenever and wherever a need arises. 

AI-powered chatbots allow retailers to deliver the instant engagement consumers expect. These chatbots and virtual assistants are equipped to handle all sorts of inquiries—whether the shopper is just starting to explore options or has already made a purchase. 

If a shopper is early in the purchase journey, an AI-powered chatbot can answer questions and provide personalized recommendations based on previous transaction history (if known) or on the customer’s answers to a few basic questions. Some chatbots also allow customers to quickly make a purchase right in the chat. After a purchase is made, virtual assistants provide order updates and help resolve any issues that may arise.

Conversational AI tools can help retailers deliver seamless, connected interactions. They can accurately determine when a customer’s inquiry requires the assistance of a real human—and can then transfer them to the right person for the task. This cuts down wait-times, which is a top frustration among consumers. 

Analyzing Feedback to Optimize Experiences

Customer feedback has always been key to optimizing retail CX. That’s nothing new.

Traditionally, surveys were the primary way for collecting customer feedback. Make no mistake: surveys are still valuable. However, many consumers are facing “survey fatigue”, decreasing their likelihood of engagement. Retailers need to diversify their feedback mechanisms.

Consumers leave plenty of signals (feedback) across these platforms—some direct, some implicit. But many retailers struggle to decode this hodgepodge of both structured and unstructured data.

Integrated customer experience platforms, using AI, empower retailers to amalgamate diverse datasets. All those customer signals are translated into actionable insights that will improve CX and increase customer satisfaction and retention. 

AI Presents Retailers With New Challenges

AI is improving the way retailers interact with their customers. By and large, this is a good thing. However, AI does present some unique challenges to retailers.

One key challenge is balancing personalization and privacy. Retail consumers have come to expect personalized experiences, wherever they are on the shopping journey. Of course, such experiences depend on data. Retailers must ensure their customer data – and their use of AI to analyze it – is safe and secure.

When it comes to AI, there are three additional, major concerns:

  • AI Operates as a “Black Box”: To the average person, the ins and outs of AI are largely a mystery. For example, there’s usually no visibility into:
    • Which datasets are being used
    • Where the data comes from 
    • Which algorithms are being implemented

As such,  it’s difficult – if not impossible – to discern how a specific recommendation or decision was made.

  • Bias is Common: In the world of AI, inherent biases are rampant. This can lead to skewed or biased outputs. 
  • There is Risk: In today’s world, AI is everywhere. It’s woven into the fabric of our personal and professional lives. People are leveraging AI for just about everything, from creating a household budget to drafting professional correspondence to finding a spouse. The sheer volume of data being channeled into public spaces introduces risk. 

Consumers are loyal to retailers they trust. Retailers must be laser-focused on earning and preserving the trust of their patrons.

Though it’s tempting to go “all in” on AI, retailers, and everyone else for that matter, must do so responsibly. Retailers must recognize the challenges presented by AI – and then work to address them. In addition, retailers must prioritize transparency to foster consumer trust. 

A Final Word

Though it’s a relatively new technology accessible to the public, AI is already transforming the retail customer experience. 

Retailers have a wealth of data available to them to fuel better experiences. Integrated CX is integral to making sense of data from disconnected sources—and shedding light on opportunities to act on those insights.

Retailers must make it a priority to use AI  ethically and responsibility in order to preserve customers’ trust. In today’s competitive marketplace, the most successful retailers will be those that create intelligent, personalized AI-driven CX, that are safe, private, and secure. 

See how InMoment is leading this charge with its award-winning, integrated CX platform.

References 

Mckinsey & Company. The value of getting personalization right—or wrong—is multiplying  (https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/the-value-of-getting-personalization-right-or-wrong-is-multiplying/). Access 12/20/23.

In the dynamic world of hospitality, the ability to manage and enhance the guest experience often spells the difference between those who win and those who get left behind. With today’s travelers raising their expectations while being exposed to a seemingly unlimited number of hospitality solutions, it is critical that operators deliver experiences that reflect the lives of their customers. 

What is Guest Experience?

Guest experience refers to the overall impression and satisfaction that a guest has during their interactions with a hospitality brand or establishment, such as hotels, restaurants, resorts, and attractions. It encompasses every aspect of their stay or visit, from the booking process and arrival to the accommodation, services, and departure.

A positive guest experience involves going beyond basic customer service. (More on this later.) In hospitality, factors that contribute to the guest experience include personalized attention, efficient service, cleanliness, ambiance, health, wellness, and safety, and the overall atmosphere of the establishment, among others.

Operators today should strive to exceed guest expectations and create memorable guest experiences to encourage repeat visits and positive word-of-mouth recommendations. By understanding and anticipating the needs and preferences of your guests, you make them feel valued and ensure that every touchpoint in their journey contributes to positive and enjoyable experiences.

The Importance of Guest Experience Management

Guest experience management is vital for hospitality brands looking to build a positive reputation, foster customer loyalty, achieve competitive differentiation, and ultimately drive long-term success and profitability.

Guest experiences impact reputation. Positive experiences build a favorable reputation, while negative experiences can harm it. With the prevalence of online reviews and social media, managing and enhancing guest experiences is crucial to maintaining a positive brand image.

Positive guest experiences lead to higher customer satisfaction levels. A memorable and positive guest experience drives customer satisfaction and fosters customer loyalty. Happy customers are more likely to choose the same hospitality brand for future stays or visits, while also recommending the brand to others, contributing to repeat business and long-term profitability.

Guest experience differentiates your brand. With travel consumers exposed to seemingly limitless hospitality solutions, providing an exceptional guest experience helps differentiate your brand from competitors. 

Guest experience management drives data-driven decision-making. It often involves collecting and analyzing integrated CX data, which can be valuable for gathering actionable insights, making informed business decisions, improving service offerings, and tailoring experiences to meet customer expectations.

The Difference Between Guest Experience vs. Customer Service

You may be wondering, “What is the difference between managing the guest experience and delivering customer service?” 

Traditionally defined, customer service is the act of taking care of your guests’ needs by providing service and assistance before, during, and after their requirements are met. This is provided, for example, by the receptionist at the front desk checking in hotel guests upon arrival; the tour operator explaining the historical or cultural significance of landmarks in a local area; or the sommelier giving detailed advice about which wines pair best with which dishes. 

Many think of customer service as the act of reacting and responding to guests at certain points of contact: a hotel check-in, a tour, or a restaurant visit. It is often transactional in nature and focuses on meeting immediate needs or resolving issues.

The guest experience encompasses all these touchpoints and is part of a larger strategic effort in which customer service plays a crucial part. 

A single point of contact doesn’t determine the guest experience. It encompasses the entire customer journey — through processes, policies, and people. It can include the guest’s initial awareness or discovery of your brand and can begin long before they set foot in any of your property locations. This means that all interactions and touchpoints the guest has with your brand are considered.

Guest experience isn’t a department. It’s a core value that should involve everyone in your organization, from the C-suite to the front-facing staff. Every team or department, from marketing and sales to front office, customer support, and after-sales, has a stake in managing the guest experience. 

Guest experience management isn’t reactive. You don’t wait for a phone call, an email, or a slew of negative reviews to resolve the guest’s problem or meet their requirements. The premise behind guest experience management is that operators become truly proactive and intuitive, with the goal of seeing through guests’ eyes and better understanding their needs, wants, and expectations.

Key Trends Impacting the Guest Experience in Hospitality

Hospitality is a dynamic industry and new trends continue to emerge, raising expectations in a way that forces operators to rethink boardroom strategies, marketing and sales processes, and business models. Here are some key trends that are currently shaping the guest experience in hospitality.

A Multi-Channel Strategy is Essential

To validate their booking decisions, travel buyers are navigating multiple digital channels to conduct research and find solutions that are suited to their needs. These include online travel agencies (OTAs), social media, mobile apps, and brand websites. Deal-seeking behavior is also on the rise due to the cost of living crisis and record-shattering inflation rates.

A multichannel strategy is therefore essential for hospitality brands looking to reach a broader audience and maximize reach and visibility. Today’s consumers expect seamless and convenient interactions across multiple channels. A multichannel approach allows your organization to meet these expectations and provide guests with the flexibility to engage through their preferred channels.

Each channel should also provide an opportunity for you to collect valuable data about guest behavior, preferences, and booking patterns. By integrating data from multiple channels, you can gain insights into customer trends and make data-driven decisions to improve your marketing and service strategies.

Guests Want More Tailored Experiences

More tailored and personalized experiences, from customized room preferences to targeted offers, are a growing trend in the hospitality sector. Today’s travelers appreciate options and flexibility, choosing providers and operators that go the extra mile to make their stay unique.

Tailored experiences can also create a sense of exclusivity, with things like VIP treatments, exclusive access, and special privileges for repeat guests contributing to a feeling of being valued.

To meet these expectations, a growing number of brands are leveraging customer experience analytics and artificial intelligence (AI) to understand guest preferences and deliver tailored services.

There’s an Increased Demand for Local / Regional Experiences

The rise of the independent traveler means that guests are seeking both extreme personalization and unique, authentic local experiences. Guest experiences that give back to local communities or support the local economy are in demand, as are niche properties, staycations, and holidays and retreats that integrate attractions and activities within the local community where the business operates. More travelers than ever are also drawn to properties that reflect the local character and charm. 

This is why hospitality brands are incorporating local elements into their services, from locally inspired decor to partnerships with local businesses for unique guest experiences. Operators are also focusing more on local and hyperlocal sourcing, establishing close partnerships with farmers, artisans, producers, and suppliers.

Guests are Focused on Health, Safety, and Wellness

While health, cleanliness, and hygiene have always ranked among the top factors for travelers when choosing a hotel property, it has risen to the top of the list in the post-pandemic landscape. When making booking decisions, guests are researching sites that specifically offer cleanliness and safety information. 

This means that operators should double down on efforts to ensure that guests feel safe, secure, and clean. Beyond simply meeting compliance requirements issued by authorities, your company should work to respond to guest expectations amidst heightened sensitivity around cleanliness and safety.

Wellness is also a significant focus, with hotels offering amenities like fitness facilities, healthy dining options, and wellness programs. Some brands are incorporating spa services, mindfulness activities, and sleep-focused amenities to deliver a better experience for guests.

How to Measure Guest Experience

You cannot manage something you aren’t measuring. Hospitality brands can measure the guest experience using these common approaches:

  • Guest surveys and feedback forms: Implementing surveys allows guests to provide direct feedback on their experience. To gather both structured and unstructured feedback data, your team can use Likert scales, open-ended questions, and the Net Promoter Score (NPS) survey methodology. 
  • Online reviews and social media listening: Tracking reviews as well as mentions and comments from social media platforms provides a valuable source of unsolicited feedback, which operators can analyze for common themes, areas for improvement, and high-impact issues impacting the guest experience.
  • Employee feedback: Gathering feedback from employees who directly interact with guests can offer insights into the guest experience and areas that may need improvement.
  • Operational metrics: Monitoring and managing metrics such as check-in/check-out times, room cleanliness, and service response times should help you identify areas where operational efficiency can enhance the overall guest experience.
  • Customer experience metrics: Connecting feedback data and operational metrics to customer experience KPIs such as NPS, Customer Satisfaction Score (CSAT), and Customer Effort Score (CES) lets your organization achieve a more complete and accurate view of the guest experience. 
  • Loyalty program engagement: The level of engagement guests have with your loyalty program will also help you look into repeat bookings, member satisfaction, and redemption patterns in order to gauge overall loyalty and guest satisfaction.

By combining insights from these various sources, hospitality brands can get a more comprehensive understanding of the guest experience and make data-driven decisions that enhance customer satisfaction and loyalty.

How to Enhance the Guest Experience: Best Practices

Learning how to enhance the guest experience is essential for attracting and retaining customers. Here are some best practices applied by today’s top hospitality brands.

Improve Guest Communication

Effective communication plays a crucial role in shaping the overall guest experience. It can enhance guest satisfaction, foster loyalty, and contribute to positive reviews; meanwhile, poor communication can lead to misunderstandings, dissatisfaction, and negative feedback. Throughout the customer journey, ensure that you’re sharing relevant information with your guests to make their visit or stay as comfortable as possible.

  • Pre-arrival: Information about amenities, policies, and local attractions enables guests to plan their visit and enhances their overall experience.
  • Check-in: Smooth and efficient check-in procedures contribute to a positive first impression. Welcoming and friendly communication sets the tone for the guest, making them feel valued and comfortable.
  • Problem Resolution: Handling guest complaints or issues quickly can turn a negative experience into a positive one, and helps demonstrate your commitment to guest satisfaction.
  • Post-stay: Seeking feedback through surveys or follow-up emails allows guests to express their opinions and provides an opportunity for your company to address any concerns. 

Map the End-to-End Guest Journey

Customer journey mapping allows hospitality brands to gain insights into guest behavior, preferences, and pain points at each stage of their interaction with the brand. Understanding how guests navigate their journey provides valuable information for improving services and anticipating needs. 

Mapping the customer journey also helps identify various touchpoints where guests interact with the brand, both online and offline. This includes pre-booking research, booking processes, on-site experiences, and post-stay interactions. Recognizing these touchpoints allows brands to optimize each stage of the journey. With a customer journey map, you can pinpoint areas that may need improvement or innovation to enhance the overall guest experience.

Embrace Digital Transformation

Hospitality consumers demand tools that simplify and streamline the entire booking or buying process — from research and planning, through engagement, to the post-sales phase. This makes it critical to invest in smart technology that will better engage consumers and make every part of the customer journey pain-free.

Undergoing a digital transformation should help streamline your operations, reducing wait times and improving the overall guest experience.

Having free Wi-Fi for guests isn’t enough. Investment areas you can focus on include digital and contactless services (like contactless payments, voice control, and biometrics); mobile check-ins; smart home devices in rooms; AI-powered chatbots on your digital properties; virtual tours that recreate a digital environment for consumers to picture themselves in; and instant messaging channels that direct guests to management for any questions and issues. For larger chains and enterprise-level organizations, deploying a local listing management solution should also help maximize your visibility and support your brand’s multichannel strategy.

Personalize the Guest Experience

Personalization plays a significant role in meeting the diverse preferences and expectations of travelers. It also fosters a sense of loyalty among guests. When a company consistently delivers personalized services and memorable experiences, guests are more likely to choose the same brand for future stays, leading to repeat business and long-term loyalty.

Examples of tactics used to personalize the guest experience include: 

  • Optimizing your local business listings and refining your marketing content based on guest personas 
  • Providing options to specify room preferences 
  • Giving personalized welcome letters and amenities
  • Creating targeted offers and promotions (for example: emailing guests with their membership details, unique vacation ideas, or personal offers that are in line with their preferences and expectations)
  • Curating local experiences and recommendations
  • Incorporating voice-activated assistants in rooms

Personalization is impossible if operators don’t have the ability and the means to relate to and understand the needs of their guests. To address this, you can implement technological tools like a customer relationship management (CRM) or customer experience management (CEM) solution, which analyzes big data to create highly customized one-to-one interactions between the guest and the host at scale.

Leverage Guest Experience Surveys to Capture Insights

Guest experience surveys help your team capture valuable insights essential to improving your brand, products, services, and overall customer experience. Organizations that can distribute surveys and solicit feedback efficiently also often have a more complete understanding of their guests and can more easily measure satisfaction and loyalty.

The challenge is to move beyond simply collecting data. As part of your strategy, consider investing in a Voice of the Customer program or guest experience software to ensure you are hearing your guests and extracting rich, meaningful insights from their feedback.

Invest in Online Reputation Management

One of the most important aspects of guest experience management in hospitality is your ability to build a strong brand reputation and respond to online reviews and customer feedback. People are drawn to brands that know how to respond to negative reviews, promptly answer phone calls and emails, and proactively join conversations on social media. Online reviews are especially important:

  • 94% of consumers say a bad review has convinced them to avoid a business. 
  • 53% of guests expect management to respond to negative reviews within 7 days, but 63% say that a business has never responded to their review. 
  • 45% of consumers are more likely to choose an operator that knows how to respond to negative reviews. 

If a guest wrote a 5-star review or gave your team a nice compliment via email, take the time to say thank you. If the feedback is negative or the review came with a low rating, acknowledge the guest and work quickly on resolving any issues related to their experience.

Power Your Guest Experience Management with InMoment

The future of hospitality is bright for customer-centric operators, restaurants, and hotels that are demonstrating a commitment to managing the guest experience. With InMoment, the leading provider of Experience Improvement solutions, you can adapt to meet evolving expectations, leverage experience data from every touchpoint, and power your guest experience program. Schedule a CX demo to learn more about how InMoment can help elevate your guest experiences.

Businessman with chat bot icon on virtual interface. 24/7 Chatbot service or artificial intelligence network.

Artificial Intelligence (AI) is being used by more and more businesses every day. Specifically, the world’s leading brands have begun using contact center AI to create a more efficient and effective customer service experience. By integrating these advanced technologies, these companies aim to streamline customer interaction, automate routine tasks, and optimize their overall operations.  

What is Contact Center AI?

Contact Center AI, also known as contact center artificial intelligence is the technology that leverages artificial intelligence and machine learning to optimize customer interactions within a contact center. It aims to streamline and improve various aspects of customer service, from handling routine inquiries to providing personalized assistance.

How Does Contact Center AI Work?

Contact Center AI works by leveraging advanced technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and automation to enhance and streamline customer interactions within a contact center. The process involves several key components and steps:

  • Data Collection: Contact center AI starts by collecting and aggregating data from various sources. This data may include historical customer interactions, transcripts of conversations, customer profiles, and information from other relevant databases.
  • Natural Language Processing: NLP is a crucial component that enables AI systems to understand and interpret human language. Contact center AI employs NLP to analyze and comprehend the meaning of customer inquiries, regardless of the channel used (voice, chat, email). 
  • Intent Recognition: Once the customer’s input is processed through NLP, the system identifies the user’s intent. This involves categorizing the customer’s query to determine the specific action or information the customer is seeking.
  • Routing and Automation: Based on the identified intent, Contact center AI can automate the routing of the inquiry to the appropriate department or system. For routine tasks, the AI may directly handle the request without human intervention, significantly reducing response times.
  • Virtual Agents and Chatbots: Virtual agents or chatbots, powered by AI, interact with customers in real-time. These agents can engage in text-based or voice-based conversations that provide assistance, answer queries, and guide users through processes. 

Will Contact Center AI Replace Call Center Agents? 

The simple answer is no. Artificial intelligence will not replace agents in the near future but provide readily available resources and insights to empower them to effectively solve customer inquiries and deliver exceptional customer experience. 

What are the Benefits of Contact Center AI?

Contact Center artificial intelligence offers a range of benefits that contribute to the efficiency, effectiveness, and overall improvement of customer service operations. Many businesses with a contact center would benefit from using AI.

Operational Efficiency and Resource Optimization 

Contact center AI solutions streamline operational workflows by automating repetitive and time-consuming tasks. Routine inquiries, such as checking account balances, tracking orders, or providing basic information, can be handled seamlessly by AI-powered virtual agents. This automation reduces the workload on human agents, allowing them to focus on more complex and high-value interactions. As a result, the overall efficiency of the contact center improves, leading to quicker response times and enhanced productivity.

By automating routine tasks, contact enter AI enables businesses to optimize their resource allocation. Human agents can be strategically deployed to handle more intricate issues that require empathy, creativity, and critical thinking. This resource optimization not only improves the utilization of skilled human agents but also contributes to cost savings as the need for additional staff to handle routine tasks decreases.

Scalability and Flexibility

Contact Center AI provides businesses with the flexibility to scale their operations based on demand. During peak hours or high-volume periods, AI systems can seamlessly handle a surge in customer inquiries without the need for immediate human intervention. This scalability ensures that the contact center can adapt to varying levels of customer service demand, maintaining service quality even during peak times.

Enhanced Customer Satisfaction

Through quick and accurate responses, personalized interactions, and proactive issue resolution, Contact Center AI directly contributes to enhanced customer satisfaction. Customers appreciate the convenience of instant assistance, personalized recommendations, and the ability of businesses to anticipate and address their needs. Improved customer satisfaction not only fosters loyalty but can also lead to positive word-of-mouth, attracting new customers to the brand.

In essence, Contact center AI serves as a catalyst for positive change within customer service operations, fostering efficiency, optimizing resources, and ultimately contributing to an elevated customer experience. The integration of AI technologies empowers businesses to navigate the evolving landscape of customer service with agility and responsiveness, ensuring sustained success in meeting and exceeding customer expectations.

AI Use Cases in Contact Center & Examples

Contact center AI is actively transforming customer service across various industries. Here are some real-world examples of Contact Center AI in action:

Banking and Financial Services

Virtual Agents for Account Inquiries: Many banks employ virtual agents powered by AI to handle routine account inquiries, such as checking balances, transaction history, or updating account information. This frees up human agents to focus on more complex financial matters.

E-commerce

Chatbots for Customer Support: E-commerce platforms often use AI-driven chatbots to provide instant assistance to customers. These chatbots can help with order tracking, product information, and even suggest personalized recommendations based on the customer’s browsing history and preferences.

Telecommunications

Interactive Voice Response (IVR) Systems: Telecommunications companies utilize AI-driven IVR systems to efficiently route customer calls. These systems understand natural language and can guide customers through troubleshooting processes or direct them to the appropriate department for support.

Hospitality

Virtual Concierge Services: Hotels and travel agencies employ virtual concierge services powered by AI to provide guests with information about amenities, local attractions, and hotel services. These virtual concierges enhance the overall guest experience.

Automotive Industry

Appointment Reminders and Service Notifications: Automotive service centers leverage AI to send automated appointment reminders and service notifications to vehicle owners. This ensures timely servicing and keeps customers informed about their vehicle maintenance schedules.

What to Look for in Contact Center AI Software

Selecting the right contact center AI software is crucial for maximizing the benefits of artificial intelligence in customer service operations. Here are key factors to consider when evaluating contact center AI solutions:

Scalability 

Ensure that the contact center AI software is scalable to handle fluctuations in customer service demand. The solution should seamlessly adapt to varying call volumes and support business growth without compromising performance.

Integration Capabilities

Look for AI software that easily integrates with existing contact center infrastructure, including customer relationship management (CRM) systems, ticketing tools, and communication platforms. Compatibility with other systems ensures a cohesive and interconnected customer service ecosystem.

Customization Options

Opt for a contact center AI solution that offers customization options. Businesses have unique requirements and industry-specific needs, and the AI software should be adaptable to cater to these specifics, allowing for a tailored customer service experience.

Multichannel Support

Consider AI software that supports various communication channels, including voice, chat, email, and social media. The ability to operate seamlessly across multiple channels ensures a unified and consistent customer experience, regardless of the platform customers choose for interaction.

Analytics and Reporting Features

Prioritize AI software that includes robust analytics and reporting tools. These features provide insights into customer behavior, agent performance, and overall contact center efficiency. Analytical capabilities contribute to data-driven decision-making and continuous improvement.

Questions to Ask When Selecting a Contact Center AI Solution

When evaluating contact center AI solutions, asking the right questions is crucial to ensure that the chosen software aligns with your business needs and objectives. These questions will get you on the right track in determining whether or not a software solution will work for your company. 

1. Can the contact center AI software integrate with current systems and workflow?

Integration is vital for a seamless operation. Compatibility with existing systems ensures that the AI software complements your current infrastructure, avoiding disruptions and facilitating a more efficient workflow.

2. What types of interactions are within the capabilities of contact center artificial intelligence?

Understanding the scope of the AI’s capabilities is essential. Different solutions may excel in specific types of interactions, whether it’s handling routine queries, providing technical support, or processing transactions. Ensure that the AI aligns with your business’s unique needs.

3. What’s the estimated time frame from implementing to utilizing contact center AI software?

Knowing the implementation timeline is crucial for planning. An efficient and timely deployment minimizes disruptions to ongoing operations, allowing your contact center to start realizing the benefits of AI without unnecessary delays.

4. Is extensive training required to use contact center AI software and how long will it take?

Assessing the training requirements is essential for a smooth transition. A user-friendly AI system with minimal training needs ensures faster adoption by contact center agents. Understanding the training duration helps plan resources effectively and ensures a quicker return on investment.

Asking these questions empowers businesses to make informed decisions, selecting a contact center AI solution that seamlessly integrates, meets interaction requirements, aligns with implementation timelines, and requires reasonable training for efficient adoption.

Challenges of Contact Center AI

While Contact Center AI offers numerous benefits, its implementation comes with its own set of challenges. Addressing these challenges is crucial for ensuring seamless integration and optimizing the performance of AI technologies in contact centers.

  • Customer Acceptance: some customers may prefer human interactions and find it challenging to adapt to AI-driven customer service. Building trust and acceptance for AI among customers is a significant hurdle.
  • Employee Resistance: Employees might resist the adoption of AI due to concerns about job displacement or changes to their roles. Proactively addressing these concerns and providing training to ease the transition is crucial.
  • Ethical Considerations: AI systems handle sensitive customer data, and ethical concerns arise regarding data privacy, security, and the responsible use of AI. Ensuring compliance with data protection regulations and establishing ethical guidelines for AI use is essential.
  • Training and Skill Gaps: Contact Center AI systems require continuous training and updates to adapt to changing customer behaviors and industry trends. Ensuring that human agents possess the necessary skills to work alongside AI and handle complex issues is essential.
  • Over Reliance on Automation: Over reliance on AI for all customer interactions without appropriate human oversight can lead to issues. Complex queries, emotional situations, or unique customer needs may require the intervention of human agents for optimal resolution.

Overcoming these challenges requires a strategic approach, collaboration between technology and business stakeholders, and a commitment to continuous improvement. By addressing these issues, organizations can unlock the full potential of contact center AI and provide enhanced customer experiences.

InMoment’s Solution for Contact Center AI

InMoment’s contact center solution gives organizations the power to use specialized text analytics models to understand nuanced exchanges in customer interactions. These models, which can be tailored to fit any industry, link customer experience insights to agent performance, call stage, and customer issues. Schedule a demo today and see what InMoment can do for you! 

A Deep Dive into Conversational Intelligence

Conversation intelligence allows businesses to make informed decisions by analyzing conversations, identifying trends, and evaluating employee performance.
close up focus on call center headset device at headset VOIP system with futuristic symbol technology at office desk for hotline telemarketing and network operation concept

The advent of conversational intelligence has become a catalyst for transformation in the way that businesses communicate with consumers. More than just a technological innovation, conversational intelligence represents a paradigm shift how organizations understand, interpret, and harness the power of human conversations. 

What is Conversation Intelligence

Conversation intelligence refers to the ability to understand, analyze, and optimize human conversations, particularly in the context of business interactions. It involves leveraging software such as natural language processing (NLP), machine learning, and artificial intelligence to gain insights from spoken or written conversations. The goal of conversation intelligence is to enhance communication, improve collaboration, and extract valuable information from interactions.

Why is Conversational Intelligence Important? 

One of the primary reasons conversation intelligence is crucial lies in its ability to enhance the customer experience. By deciphering the nuances of customer interactions, businesses can gain valuable insights into preferences, sentiments, and pain points. This information, in turn, empowers companies to tailor their products, services, and communication strategies to meet the evolving needs of their customer base.

Conversation intelligence also provides a data-driven foundation for decision-making. Analyzing conversations allows businesses to identify trends, evaluate employee performance, and make informed decisions that align with organizational goals. This data-driven approach fosters agility and adaptability, which is crucial in today’s fast-paced business environment.

How Does Conversation Intelligence Work?

Conversation intelligence works through the integration of advanced software, primarily natural language processing (NLP), machine learning (ML), and artificial intelligence (AI). Here is a breakdown of how conversation intelligence operates:

  • Data Collection: Conversation intelligence platforms can work as part of an omnichannel contact center to gather data from various sources, including audio recordings of phone calls, video conferences, chat transcripts, emails, and other written communication channels.
  • Preprocessing: Raw data often contains noise, irrelevant information, or inconsistencies. Preprocessing involves cleaning and organizing the data to ensure accuracy and reliability.
  • Audio Transcription: Audio data is typically transcribed into text using speech-to-text technology. This step is crucial for analyzing spoken conversations.
  • Understanding Language: NLP algorithms are employed to understand the structure and meaning of human language. This involves tasks such as tokenization (breaking text into words), syntactic analysis (parsing sentence structure), and semantic analysis (interpreting meaning).
  • Analytics and Reporting: Conversation intelligence platforms can aid in contact center analytics and reporting features that summarize key metrics, trends, and insights derived from the analyzed conversations. This information is valuable for making data-driven decisions and optimizing business processes.

In essence, conversation intelligence involves a multi-step process of data collection, preprocessing, language understanding, sentiment analysis, machine learning, and real-time analytics. It leverages advanced technologies to extract meaningful insights from conversations, providing businesses with the tools to enhance customer experiences, improve communication strategies, and make informed decisions.

What’s the Difference Between Conversation Intelligence vs Call Tracking Software?

While conversation intelligence and call tracking software both deal with analyzing interactions, they serve different purposes. Call tracking software primarily focuses on monitoring and analyzing call metrics, such as call duration, source, and outcome. On the other hand, conversation intelligence encompasses a broader spectrum that includes the analysis of both spoken and written interactions. It incorporates advanced features such as sentiment analysis, data extraction, and real-time analytics to provide a comprehensive understanding of communication across various channels.

Benefits of Conversational Intelligence

The adoption of conversational intelligence has become a strategic imperative for businesses aiming to stay ahead in the digital era. This transformative technology not only revolutionizes the way organizations understand customer interactions but also brings forth a host of tangible benefits. From optimizing call center performance and nurturing agents to deriving valuable insights and enhancing productivity, conversational intelligence is reshaping the dynamics of customer service. Here is a deeper look into some of the benefits of conversational intelligence.

1. Optimizing Call Center Performance

Conversational intelligence proves to be a game-changer for call centers by providing real-time insights into customer interactions. Monitoring and analyzing calls help identify areas for improvement, ensuring that customer service representatives deliver a consistent and high-quality experience. This optimization leads to increased customer satisfaction and loyalty.

2. Agent Nurturing and Training

Conversational intelligence serves as a powerful tool for nurturing and training customer service agents. These platforms offer customer experience metrics such as response times, call resolution rates, customer satisfaction scores, and agent performance indicators. By analyzing successful interactions, managers can identify best practices and provide targeted coaching to enhance the skills of their teams. This fosters continuous improvement, boosts agent confidence, and contributes to a more positive and proficient workforce.

3. Extracting Valuable Insights

Extracting valuable insights from customer conversations is a key benefit of conversational intelligence. The platform’s ability to perform sentiment analysis, entity recognition, and data extraction enables businesses to understand customer preferences, pain points, and emerging trends. These insights are invaluable for making informed business decisions, refining strategies, and staying ahead in a competitive market.

InMoment’s XI Platform utilizes AI technology to generate auto-generated conversation summaries. These insights give users access to conversation themes, product or service mentions, and can also help track agent performance. This feature has been shown to reduce the average handle time (AHT) by up to 33%.

4. Personalized Customer Interactions

By understanding the nuances of conversations, conversational intelligence enables businesses to personalize customer interactions. This personalization goes beyond addressing customers by name; it involves tailoring responses based on historical interactions, preferences, and previous purchase behavior. The result is a more engaging and customer-centric experience that fosters brand loyalty.

5. Efficient Resource Allocation

Understanding the dynamics of customer conversations helps businesses allocate resources more efficiently. By identifying peak hours, common customer queries, and areas of high demand, organizations can optimize staffing levels, ensuring that they have the right resources in place to handle customer interactions effectively.

Conversation Intelligence Examples

When examining conversation intelligence, it becomes evident that the impact of this transformative technology extends across various industries by reshaping communication dynamics and optimizing operational processes. Let’s look at a few industry-specific examples. 

1. Healthcare: Optimizing Patient Interactions

In the healthcare industry, conversational intelligence proves to be invaluable for optimizing patient interactions. By analyzing conversations between healthcare professionals and patients, organizations can enhance communication effectiveness. This includes understanding patient concerns, improving appointment scheduling processes, and ensuring compliance with healthcare regulations. The insights derived contribute to a more patient-centric approach, fostering improved healthcare outcomes and patient satisfaction.

2. E-Commerce: Enhancing Customer Support and Sales

In the e-commerce sector, conversation intelligence plays a crucial role in enhancing customer support and driving sales. By analyzing customer interactions across various channels, such as live chat, emails, and phone calls, businesses gain insights into customer preferences, product feedback, and common pain points. This information is instrumental in tailoring marketing strategies, improving the online shopping experience, and providing personalized recommendations, ultimately boosting customer satisfaction and loyalty.

3. Financial Services: Ensuring Regulatory Compliance

In the highly regulated financial services industry, conversation intelligence is essential for ensuring regulatory compliance. By analyzing conversations in customer interactions, financial institutions can monitor and enforce adherence to compliance standards and legal requirements. This proactive approach helps mitigate risks, avoid regulatory penalties, and maintain the integrity of financial operations.

These industry-specific examples showcase the targeted application of conversation intelligence, demonstrating its ability to address unique challenges and opportunities within different sectors. Whether it’s optimizing patient care in healthcare, enhancing customer support in e-commerce, or ensuring regulatory compliance in financial services, conversation intelligence proves to be a versatile tool with applications tailored to industry-specific needs.

Conversation Intelligence with InMoment

The adoption of conversational intelligence, powered by advanced technologies like natural language processing and machine learning, is not merely a strategic choice but a necessity in the contemporary business landscape. InMoment’s conversation intelligence technology empowers organizations to navigate the intricacies of conversations and turn insights into actions, and ultimately drive business success. Schedule a demo to learn more today! 

Human hand ues smartphone with call center on screen contact us, email, address, operator, customer, support, phone services agen, c

Contact centers are not new by any means. As a matter of fact, the first employed call center agents date back to the 1950s. But, these agents only made and received phone calls. It wasn’t until the turn of the century that these call centers evolved into multichannel contact centers. However, even these are quickly becoming obsolete. The future of the contact center lies in the omnichannel contact center. 

What is an Omnichannel Contact Center? 

An omnichannel contact center is a customer service model that integrates and manages various communication channels in a unified and seamless manner. Unlike traditional multichannel setups, where each communication channel operates independently, an omnichannel contact center provides a cohesive and consistent customer experience across all channels.

What’s the Difference Between Omnichannel and Multichannel Contact Center?

In an omnichannel contact center, customers can interact with a business through channels such as phone calls, emails, chat, social media, and more. What distinguishes it from multichannel systems is the integration of these channels, allowing customers to switch between them without losing the context of their interactions. For example, a customer might start a conversation via chat and then continue it later over the phone, with the contact center retaining the history and context of the entire interaction.

Is an Omnichannel Contact Center Better Than A Multichannel Contact Center?

The debate between an omnichannel contact center and a multichannel contact center often revolves around the depth and quality of customer experience. While both models involve managing customer interactions across various channels, there are distinct differences in their approaches.

While a multichannel contact center provides various communication options, an omnichannel contact center is better positioned to meet the heightened expectations of today’s customers. It not only offers diverse channels but integrates them seamlessly, creating a unified and customer-centric approach that fosters satisfaction and loyalty. Ultimately, the choice between the two models depends on the organization’s commitment to delivering a superior customer experience.

What are the Benefits of an Omnichannel Contact Center?

Embracing strategies that bolster omnichannel contact centers facilitates the delivery of seamless, convenient, and efficient customer interactions. Through the integration of various communication channels into a cohesive system, businesses can enjoy a host of benefits that greatly elevate the customer experience.

Enhanced Customer Engagement

Omnichannel contact center solutions empower businesses to engage with customers on their terms. Whether a customer prefers email, phone, chat, or social media, an omnichannel system seamlessly integrates all these channels, allowing for consistent, real-time interactions. When customers can switch between channels without losing context, it reduces frustration and leads to a more positive experience.

Imagine a customer who initiates a support request through chat but needs to step away. With an omnichannel system, they can easily switch to a phone call later, and the agent will already have the chat history, avoiding the need to repeat the issue. This level of flexibility and continuity in customer feedback fosters better relationships and builds trust.

Efficient Closed-Loop Systems

In a contact center, the value of closing the loop is of the utmost importance. Omnichannel solutions can greatly improve the efficiency of closed-loop systems within a business. When agents have access to a unified view of customer data and interaction history across all channels, they can quickly understand the context of the customer’s issue.  This is a crucial element of customer experience management as it ensures that no customer concern or query falls through the cracks and that each issue is tracked from initiation to resolution.

Omnichannel contact center solutions can also incorporate automation and AI-powered tools. These technologies can intelligently route customer inquiries to the most appropriate agent or department. For instance, a chatbot can handle routine queries, while complex issues are directed to specialized human agents. This streamlines the resolution process, ensuring that customers get the help they need as quickly as possible.

Consistent Brand Experience

Consistency is a key factor in creating a strong and recognizable brand. Omnichannel contact center solutions enable businesses to deliver a consistent brand experience across all customer touchpoints. From the tone of communication to the information provided, customers should feel that they are dealing with one unified entity, not a collection of disconnected departments.

This consistency helps to reinforce brand loyalty and trust. Whether a customer is engaging on social media, talking on the phone, or visiting a physical store, the brand experience should remain uniform. Omnichannel solutions can help achieve this by ensuring all customer-facing teams have access to the same information and guidelines for interacting with customers.

Data-Driven Insights

Omnichannel contact center solutions provide valuable data and analytics. By collecting and analyzing customer interactions across various channels, businesses gain insights into customer preferences, pain points, and behavioral patterns. These insights can inform strategic decisions, improve product and service offerings, and enhance the overall customer experience.

Data-driven insights also allow for more personalized interactions. When agents have access to a customer’s history and preferences, they can tailor their responses and recommendations, creating a more personalized and meaningful interaction. This not only improves the customer experience but can also lead to increased sales and customer retention.

What Does an Omnichannel Contact Center Solve?

An omnichannel contact center addresses several challenges and issues in customer service and provides solutions to enhance the overall customer experience. Here are key problems that an omnichannel contact center aims to solve:

Customer Friction

  • Issue: In a multichannel environment, customers may experience friction when transitioning between different channels, leading to a disjointed and frustrating experience.
  • Solution: Omnichannel contact centers eliminate friction by offering a seamless and consistent experience across all communication channels. Customers can switch between channels without losing context or having to repeat information. 

Operational Efficiency

  • Issue: Multichannel centers may struggle with the inefficiency of managing different channels separately, leading to delays, errors, and increased workload.
  • Solution: Omnichannel contact centers centralize communication management, improving operational efficiency. Agents can access all channels from a unified dashboard, streamlining processes and reducing the risk of information silos.

Enhanced Insights

  • Issue: Siloed data from separate channels can make it challenging to gain a comprehensive understanding of customer behavior and preferences.
  • Solution: Omnichannel systems provide a holistic view of customer interactions, allowing businesses to gather valuable insights. This data-driven approach enables informed decision-making and the ability to tailor services to customer needs.

Features to Look for in an Omnichannel Contact Center

When deciding on omnichannel contact center solutions, there are many things to consider. The functionalities you need will be dependent on the uses and goals of your contact center. Regardless, there are a few main features that any successful contact center should have. 

Agent Scorecards

Agent Scorecards are tools that provide a comprehensive evaluation of an individual agent’s performance within the contact center. These scorecards typically encompass a range of key employee and customer experience KPIs and metrics specific to the agent’s responsibilities. Metrics may include factors like average handling time, first contact resolution, customer satisfaction scores, and adherence to scripts or guidelines. By analyzing these metrics, managers gain insights into an agent’s efficiency, effectiveness, and overall contribution to the customer experience.

A screenshot of a contact center agent scorecard

AI-Driven Text Analytics

AI-Driven Text Analytics refers to the application of artificial intelligence and machine learning techniques to analyze and derive meaningful insights from unstructured text data. In the context of an omnichannel contact center, unstructured data often includes customer interactions from various sources, such as emails, chat transcripts, social media comments, and survey responses. Traditional analysis of such data can be time-consuming and challenging due to its unstructured nature, but AI-driven solutions bring efficiency and accuracy to the process.

An online chat between a customer and a contact center agent

Transcription Services

Contact centers often deal with a significant volume of audio data, including customer service calls, feedback voicemails, and internal meetings. Manually processing and analyzing these recordings can be time-consuming and impractical. Transcription services streamline this by converting hours of audio content into text, making it more manageable for further analysis and exploration. This process is essential for making audio content accessible, searchable, and analyzable.

Quality Assurance

Quality Assurance in a contact center involves systematic monitoring and evaluation of customer interactions to ensure that they meet predefined standards of excellence. This process encompasses various elements, including adherence to scripts, accuracy of information provided, adherence to company policies, and the overall effectiveness of customer service.

Strategic Services

Strategic Services in an omnichannel contact center context involve a suite of specialized offerings designed to provide businesses with expert guidance and actionable insights. Engaging in strategic services allows businesses to tap into the expertise of professionals who specialize in optimizing contact center operations. These experts often have a deep understanding of industry trends, best practices, and emerging technologies. These services also include the provision of detailed and customized reports that dive into contact center analytics and answer key business questions. These questions could revolve around performance metrics, customer satisfaction, operational efficiency, and other critical aspects of contact center management.

Two data pieces pointing to a piece of a feedback from a representative.

Omnichannel Contact Center Examples

Numerous organizations across various industries have successfully implemented omnichannel contact centers to enhance customer experiences and streamline communication across multiple channels. To represent the practical uses of an omnichannel contact center solution, let’s examine two customers in two different industries. 

Financial Services

A customer, Sarah, encounters an issue with a recent credit card transaction. She notices an unauthorized charge on her credit card statement and is concerned about potential fraud.

The Omnichannel Solution:

  • Mobile App Investigation: Sarah logs into the mobile banking app to review her recent transactions. The app provides detailed information about each transaction, allowing her to identify the unauthorized charge.
  • In-App Chat Support: Using the in-app chat support feature, Sarah initiates a conversation with a customer support representative. She explains the issue and provides details about the unauthorized transaction.
  • Live Video Call Option: The customer support representative, recognizing the sensitivity of the issue, suggests initiating a live video call through the mobile app. This allows Sarah to show any supporting documents or ID verification directly.
  • Context Preservation: Throughout the interaction, Sarah’s information and conversation history are seamlessly transferred from the mobile app to the video call, ensuring that she doesn’t need to repeat information and that the context is preserved.
  • Resolution and Follow-Up: The representative investigates the issue in real-time, verifies Sarah’s identity, and resolves the unauthorized charge. During the video call, the representative guides Sarah through the steps to secure her account and provides assurance. Follow-up communications are sent through secure channels, ensuring privacy.

In this financial services scenario, the omnichannel contact center enables a smooth and secure resolution for the customer, utilizing mobile app features, chat support, and live video calls to address the issue comprehensively.

Retail

Omnichannel contact centers can also succeed in other industries. Let’s say John, a retail customer, purchases a laptop online from a retail store. Unfortunately, the laptop arrives with a defect, and John needs assistance with returning and replacing the product.

The Omnichannel Solution:

  • Live Chat Support: Using the website’s live chat support, John initiates a conversation with a customer service agent. He explains the issue with the defective laptop and requests assistance with the return and replacement process.
  • Email Correspondence: To provide supporting documentation, John uploads pictures of the defective product through the live chat. The customer service agent suggests continuing the conversation via email to maintain a documented trail.
  • In-Store Return Option: The retailer’s omnichannel strategy includes an option for in-store returns. The customer service agent provides John with the option to return the defective laptop at a nearby physical store for quicker resolution.
  • Context Transfer: When John visits the physical store, the in-store staff has access to the email correspondence and live chat history, ensuring a seamless continuation of the resolution process. John doesn’t need to re-explain the issue.
  • Replacement Process: The in-store staff processes the return, facilitates the replacement of the laptop, and ensures that John leaves the store with a fully functional product. Any additional communications or confirmations are sent via email for John’s records.

In this retail scenario, the omnichannel contact center facilitates a convenient and efficient resolution for the customer, utilizing online order tracking, live chat support, email correspondence, and in-store returns to address the issue effectively.

Develop Your Omnichannel Contact Center 

With InMoment’s omnichannel contact center software, you can house all your data in one place. This capability allows you to deliver consistent, quality, and customer-centric experiences. Schedule a demo to see what InMoment can do for you. 

Two women sitting next to each other looking at a tablet

Guiding a loved one through the customer journey of senior living is an intimately personal and emotional endeavor. At the heart of it; senior care is more than finding a place for a loved one to reside. It’s about fostering a community steeped in care, safety, comfort, and boundless joy. In this context, maintaining a sterling reputation in the realm of senior living becomes pivotal—it’s the bridge aligning with the aspirations of those seeking unparalleled care for their cherished family members. Upholding this reputation ensures that your services deeply connect with and satisfy the needs of those pursuing exceptional care for their loved ones.

Why Reputation Management is Important for Senior Care

More than 90% of families heavily rely on online reviews when deciding on senior living communities, a significant increase from the 82% recorded in 2020. This highlights the critical need for a proactive reputation management strategy, not just for sustained success but as an essential component for care organizations aspiring to attract seniors and maintain a reputation for exceptional service acknowledged online. To effectively appeal to these families and surpass competitors, implementing targeted reputation management strategies within senior care is paramount.

Reputation Management Strategies for Senior Living 

Crafting a robust reputation management strategy for senior living hinges on understanding your core audience, primarily the families of prospective residents. Their needs, concerns, and expectations form the bedrock of your approach. It’s vital to define clear messaging that resonates with this audience, conveying the essence of your care services consistently across all touchpoints. This consistency in messaging cultivates trust and reliability, crucial elements in building a positive reputation within the senior living landscape. 

Once you’ve established alignment with your primary audience and messaging, there are three effective strategies to fortify your reputation: optimizing local business listings, amplifying positive reviews, and harnessing valuable insights from customer feedback. These actions work in unison to bolster your standing within the senior living community, enhancing visibility, credibility, and responsiveness to refine the overall resident experience.

Manage and Optimize Local Business Listings 

The primary step toward building your online reputation involves either creating or claiming your business listing across prominent directories like Google Business, Facebook, Bing Places, and Yelp. Given that nearly half of all Google searches, 46% to be exact, incorporate local intent, there’s a significant surge in people actively seeking services like senior care within their local area. By creating or claiming your business listing, you could show up for common search terms such as “senior living near me” or “senior care near me”, while also securing placement in local search maps such as Google Maps or Bing Places.

Ensure Accuracy and Consistency of Your Business Information

Once your business listing is verified, the subsequent stride involves furnishing comprehensive business information, encompassing the business name, address, phone number, website, and operating hours. Maintaining not just accuracy but also consistency across these details is paramount. Even minor details like abbreviations and punctuations, should be unified across all your owned business listings.

Save Time with Listing Management Tools

Managing multiple locations across diverse business directories can be time-consuming and prone to errors, potentially resulting in misinformation that may dissuade families from exploring your offerings in favor of competitors. Additionally, inconsistencies in information can negatively affect your local listing rankings. To streamline this process and minimize errors, leveraging local listing management tools becomes imperative. These tools facilitate effortless monitoring and management of your business listings with minimal effort, ensuring that your business information remains consistently accurate and reliable for online users.

Crafting an Effective Approach for Gathering Reviews

Ensuring a thriving senior residence involves not just providing exceptional care but also fostering a sense of trust and community. One effective way to achieve this is by actively seeking and encouraging reviews from residents and their families. Begin by creating a positive environment that naturally elicits positive customer feedback and optimizes your senior living reviews. Train your staff to prioritize personalized care, addressing the unique needs and preferences of each resident.

Find Out Your Brand's Online Reputation Score

Leverage Popular Review Sites

Encourage residents and their families to share their experiences on popular review sites. You can boost the volume of feedback you receive by simplifying the process like generating a feedback link such as a Facebook or Google review link and sending it directly via email. Another option worth exploring is the integration of QR codes into your mailing materials, contributing to a seamless and efficient feedback gathering process. Additionally, leverage the power of social media to engage with your community. Share heartwarming stories, testimonials, and encourage open conversations. Create an online space where residents and their families feel comfortable expressing their thoughts about the community.

Surveys and Follow-Up

Implementing a structured feedback system is crucial. Utilize online surveys and send follow-up emails after positive interactions to kindly request reviews. By showcasing the positive aspects of your senior living community and actively seeking feedback, you not only create a transparent and open atmosphere but also enhance your community’s online presence, attracting potential residents who value authenticity and personal care.

Highlight and Promote Positive Reviews

For families embarking on the journey to find the perfect senior living community is a significant step often guided by heartfelt experiences shared through reviews. While your messaging can do the best it can to persuade people to visit your community, it’s the sincere stories of families who have walked the same path that truly touch the heart and convince them to schedule a visit. Therefore, it’s important to highlight these positive reviews to showcase the compassionate care your facility provides. 

Don’t be afraid to seek feedback, instead consider it a treasure trove of shared experiences that can guide others on their senior care journey. It also opens the door to uncover opportunities to improve care and trends to outperform local competitors. People prefer to read the authentic voices of those who have interacted with your staff and experienced the warmth of your facilities. These stories hold immeasurable value as they provide a genuine take on the senior living experience. Actively seek out these stories, the ones that capture the essence of your community, and bring them to the forefront. Share them within your marketing materials, website, and social media. 

Managing these reviews and populating them on your website can be time-consuming and tedious. To help automate this process, there are many review widgets and software that can help including InMoment’s reputation management software. With this tool, your team can effortlessly weave review widgets throughout the website starting with the homepage, creating a virtual tapestry of shared moments as they navigate and explore living options. You can even dedicate a whole webpage to these stories highlighting appreciation and gratitude for current residents, offering solace and insight to those considering your community. 

For many families and seniors, these heartfelt narratives become the deciding factor in choosing a senior care service or facility. By delicately placing recent testimonials alongside the commendations from other seniors, you not only simplify the research process but also cultivate trust. It’s a testament to your commitment to transparency and creating a genuinely compassionate senior living experience. Every review is not just a reflection of your facility; it’s a shared journey of care, empathy, and support.

Extract Valuable Insights from Feedback

An integral aspect of any senior care reputation management strategy involves enhancing the overall living experience. Testimonials go beyond attracting new residents; they serve as a reflection of the quality of care. For example, you may receive responses highlighting that cleanliness is frequently associated with positive feedback, while there may be negative sentiment often related to the lack of attentiveness. Therefore, tapping into recent reviews will not only reveal the strengths of senior living but also bring to light areas of improvement that might be overlooked.

Streamline Analysis with AI

However, combing through every feedback can be a labor-intensive and time-consuming task. To accurately understand and uncover overarching themes, you would need to manually identify keywords indicative of positive or negative sentiments. This could take days or even weeks to organize and finalize insights into an actionable strategy that could improve your senior living reputation. 

However, with today’s technological advancements, this process can be automated. By harnessing customer experience AI, hundreds or even thousands of reviews can be analyzed within minutes, providing accurate keyword analysis and trending data. Obtaining this accurate and insightful data in a shorter period of time, allows your team to quickly implement operational changes to positively impact the quality of care. This not only brings satisfaction to current residents but also leaves a lasting impression on those considering your senior care facility. Taking swift action based on review data demonstrates that you’re attuned to the needs of your seniors—a crucial factor for individuals seeking senior care options.

How to Pick the Right Reputation Management Partner

Selecting the appropriate reputation management partner for a senior living community is a pivotal step in ensuring a positive and trustworthy image in the eyes of residents and their families. Begin by clearly outlining the specific needs and goals unique to a senior living environment. Identify areas that require attention, whether it’s maintaining positive reviews, managing feedback, or enhancing the overall perception of the community.

Research and Proof of Success

Conduct comprehensive research to identify reputation management companies with expertise in the senior living industry. Explore their track record, focusing on case studies, client testimonials, and online reviews related to senior care facilities. Seek recommendations from other senior living communities or industry professionals who have faced similar challenges.

Open Communication and Transparency

Transparency is crucial in this partnership, particularly in the realm of senior care where trust is paramount. Opt for a reputation management partner who is open about their strategies, methodologies, and reporting processes. Effective communication is key, ensuring that the partner keeps you informed throughout the entire process, addressing concerns and aligning their efforts with the unique values and objectives of the senior community.

Evaluate Services

While budget considerations are important, prioritize value over cost. Evaluate the services offered by potential partners, looking for options that cater specifically to the needs of a senior living community. Assess the long-term benefits of their solutions, considering how their strategies can positively impact the community’s reputation and resident satisfaction.

Streamlined Services and Technology

Seeking a reputation management partner for your senior care facility should involve those equipped with modern, advanced technology to enhance operational efficiency. Look for a partner that simplifies the monitoring and management of your reputation, utilizing cutting-edge tools like Artificial Intelligence (AI) to streamline workflows. The objective is to reduce the workload on your team, ensuring that the technology doesn’t create additional burdens but rather facilitates smoother processes. By embracing such advanced solutions, your team can redirect their focus towards more vital strategies, particularly in enhancing the overall senior living experience.

Integrations

In addition to selecting a partner with dependable technology, it’s important that they can integrate with widely-used senior living platforms. An effective reputation management strategy for senior living entails the ability to effortlessly aggregate, view, and respond to reviews on these platforms. For example, InMoment’s award-winning feedback software can easily integrate with the well-known senior care network, A Place for Mom, where hundreds of thousands of reviews offer first-hand experience from seniors and their loved ones. 

In essence, finding the right reputation management partner for a senior community involves meticulous research, transparent communication, and a keen understanding of the unique challenges and values within the senior care industry. This approach will help establish a partnership that safeguards the reputation of the community and fosters trust among residents and their families.

Take Charge of Your Senior Living Reputation Management with InMoment

Guiding a loved one through the senior living journey requires a reputation management strategy that transcends the traditional view of care facilities. It’s about fostering a community rooted in care, safety, and joy. As more than 90% of families turn to online reviews, implementing targeted reputation management strategies becomes imperative. Choosing the right reputation management partner involves thorough research and transparency, aligning strategies with the unique needs of the senior care industry. With the right approach, senior care facilities can thrive in the digital landscape, attracting contented families and standing out in the competitive senior living market. Discover how InMoment can help senior living communities navigate the evolving digital landscape successfully, by scheduling a reputation management demo. Start building a favorable reputation that not only draws in families but also distinguishes your senior living community in the competitive market.

References 

LinkedIn. The Power of Reviews: Why Senior Living Communities Need to Prioritize Online Reputation Management. (https://www.linkedin.com/pulse/power-reviews-why-senior-living-communities-need/) Accessed 1/9/24.

Creating Results. 8 Senior Living Statistics You Should Know. (https://creatingresults.com/blog/2020/08/27/8-senior-living-statistics/) Accessed 1/9/24.

Safari Digital. 18 Local SEO Statistics that Matter in 2023. (https://www.safaridigital.com.au/blog/local-seo-statistics/) Accessed 1/9/24.

B2B Customer Experience: The Complete Guide

Managing the B2B customer experience is a key growth strategy for organizations across a wide variety of industries. For good reason: delivering great customer experience (CX) leads to increased loyalty, lower churn, more referrals, positive word of mouth, and higher-value customers.

B2B (business-to-business) transactions often involve ongoing relationships and partnerships. Effective customer experience management helps build and maintain strong, long-term relationships by meeting the needs and expectations of your business customers consistently.

What is B2B Customer Experience?

B2B customer experience can refer to the interactions and overall relationship between a business and its business customers. It may also refer to a digital benchmark: your customers’ interactions on your website, mobile app, or software dashboard. The B2B CX may also refer to a company’s ability to respond to customer questions and cases. 

Given these various interpretations, we can define the B2B customer experience as the cumulative impact of all interactions and experiences between your business and your business customers, at every touch point across the entire customer journey. 

Why is B2B CX Important?

The B2B customer experience is a crucial aspect of building and maintaining successful and long-lasting relationships in the business world. Organizations that strategically allocate their resources to strengthen their customer experience focus stand to gain an edge over the competition.

  • Great customer experiences foster loyalty. B2B customers are more likely to continue doing business with a company that consistently delivers value, meets their expectations, and provides excellent service. Loyal customers are also more likely to recommend the business to others.
  • Great customer experiences help your brand achieve differentiation. In competitive B2B markets, where products and services may be similar, customer experience becomes a key differentiator. A great customer experience can set your company apart from competitors and help you win and retain clients. 
  • Great customer experiences bolster your Customer Lifetime Value (CLV). When customers are satisfied and engaged, they are more likely to make repeat purchases, upgrade services, enter into partnerships with your company, and explore additional offerings over time.
  • Great customer experiences improve brand reputation. If you consistently deliver positive experiences, your brand is more likely to be seen as reliable, trustworthy, and customer-centric. This positive reputation can attract new customers and partners.

Ultimately, a positive B2B customer experience contributes to customer satisfaction, loyalty, and the potential for long-term partnerships and repeat business. It goes beyond individual transactions and focuses on building a strong foundation for ongoing collaboration.

What are Some B2B Customer Experience Examples?

Here are some examples of how B2B companies are applying tactics designed to improve the customer experience:

  • CRM platform HubSpot utilizes chatbots to connect with customers and encourage open communication. The chatbots automatically help users find responses to their questions and discover helpful content like help center articles, blogs, and resource pages.
  • Social media marketing platform Hootsuite leverages InMoment to make the Net Promoter Score (NPS) methodology central to its operation. By utilizing the in-app customer feedback software tool, Hootsuite can prioritize CX improvements that will have the most business impact and have been able to triple its Net Promoter Score.
  • Transport and business services brand FedEx launched a single external newsletter to streamline its communication with customers, instead of sending out multiple emails from various departments within the organization. This helped break down silos and made things simpler not only for FedEx’s customers but also for each of the company’s internal teams working together to deliver meaningful information and valuable content to customers. 
  • Software company PandaDoc uses multiple surveys to monitor customer sentiment and improve product experience. The company also acts on insights from customer feedback in order to understand and improve the skills of its support agents, enabling them to become better at serving PandaDoc customers. 
  • Every time a customer buys its cloud storage suite, tech company IBM assigns specialists to help with onboarding and setup. This gives customers a hassle-free experience at a critical stage of their purchase journey. Additionally, IBM specialists educate customers with tutorials, expert advice, recommendations, and best practices to foster long-lasting relationships. 
  • High-tech industrial company GE operates customer experience centers to showcase the company’s capabilities. Customers can visit these centers to see GE’s manufacturing systems in action and discuss a personalized plan with the company’s CX representatives.

How Does the B2B Customer Experience Differ from B2C?

B2B CX strategies are often inspired by best practices in B2C customer experience management. However, there are key differences and nuances between the two due to the nature of the relationships, the complexity of transactions, and the unique needs of each type of customer. 

  • Decision-making: B2B transactions are often characterized by a more complex decision-making process involving a group of decision-makers within the business, and the sales cycle may be longer. Relationship-building and addressing the needs of multiple stakeholders are crucial in B2B interactions.
  • Customer relationships. In B2B transactions, business customers often seek long-term partnerships, and the relationship extends beyond individual transactions. Personalized service, understanding the client’s business, and collaboration are key elements.
  • Customization and personalization. Unlike B2C products and services, B2B offerings usually present various options for customization and personalization in order to meet the particular needs of the business customer. 
  • Support and service. B2C customer support often focuses on scalable solutions, such as online chat, email support, or call centers, to address the needs of a larger customer base. In B2B, customer support tends to be more hands-on and personalized, with dedicated account managers, CX representatives, and specialized support teams.

Similarities Between B2B and B2C Experiences

While your B2B and B2C customers might differ, your B2B client is a human who spends a lot of time on B2C sites such as Amazon. They’ve come to expect consumer-level digital experiences at work and play. Therefore, there has been more consumerization of B2B customer experiences. Here are 12 ways to “consumerize” B2B customer experience:

  1. Freemium or trial access. Appcues found 90% of users want to try a product for free. Can you design a lite but still valuable-to-the-user version of your product? If so, this can be a great lead-generation channel. Give marketing adequate development resources and let them run it. 
  2. Fully digital. There’s no need for interaction with a live person to access and use the product. Users expect the app to understand their goals and take them step-by-step through the process to meet their goals. 
  3. Intuitive setup and use. No user wants to have to read an essay on how to get started; it should be one step clicks without confusion. There’s no need to look for what they need, no need to be trained by an admin — it’s right there.
  4. Quick time to value. The user wants to do their job faster, easier, and better — make that happen quickly before they find another option.
  5. Easy connections to existing tech. While you’re focused on the individual end-user, don’t forget your app needs to fit into the organization’s workflow, speeding time to value and allowing your power user to advocate for your app. Also, realize that while one user may need everything your app does, others just need to know the results. Make sure your app links to the app others work in the most. If others need the data from your app to work in Slack, then offer a single-click integration to send the data from your app to Slack.
  6. Simple vs. feature-laden. Keep the interface as decluttered as possible, so it’s easy for users to find what they need. Visual clarity poses a challenge for feature-laden platforms, so design with a bias toward simplicity. And remember, there will be light users who don’t want to have to figure out, once again, how to run a report. You still need all the features for those power-user admins, but you must also prioritize the light user’s experience. 
  7. Mobile. The more people who adopt your app, the more mobile users you’ll have. While you don’t have to design to be mobile-first, you can offer a simplified version of your desktop platform, keeping all the features someone on the go will need when they’re away from their office. 
  8. Easy to share. People work on teams for the most part and shared apps help complete shared work. Make it easy for your power user to evangelize and share your product within the organization with a one-click invitation. 
  9. Real-time issue resolution. Digital is fast, and users expect to solve any problems encountered in real time. Offer help right in the product through a chat function. No one minds AI if it resolves their issue — they just want it handled now. 
  10. Easy to review. Purchase decisions today reflect the power of the end-user. Decisions are made based on word of mouth and 3rd party review sites, so make it easy for your promoters to evangelize for you. Use in-app surveys to identify your happiest customers and then automate the review to link to AppStore or G2 once the survey is completed.
  11. Seamless upgrade to paid. The freemium or trial offer will demonstrate value. When more functionality is required, make it an easy click to the premium product version. 
  12. Customer feedback. Build improvement and growth into your product by asking for feedback right in the platform and mobile app. Your buyers and end-users expect you to be optimizing your product, so make it easy for end-users to give feedback in the moment through simple NPS, CSAT, and CES micro-surveys. 

How Has the B2B Customer Experience Evolved? 

The evolution of B2B customer experience has been influenced by various factors, including advancements in technology, changes in buyer behavior, and shifts in business practices. Here are some stats that reflect some of the ways CX has changed for B2B brands today.

  • B2B companies that offer a customized eCommerce experience tend to outsell their competitors by 30%.
  • Mobile ordering in the B2B sector has surged by 250% since the COVID-19 pandemic, highlighting a notable transformation in digital practices within the realm of professional procurement and purchasing.
  • 100% of B2B customers want self-service options for at least some parts of the buying process.
  • Buyers increasingly look to B2B companies as thought leaders and strategic partners, with 84% of B2B executives saying it is very important to lean into their new positions as trusted thought leaders.
  • 52% of B2B buyers say the buying cycle for new purchases has gotten longer, proving that the B2B customer experience journey is more non-linear than ever. 

B2B CX continues to change as companies adapt to new technologies and expectations. Successful B2B companies recognize the importance of staying agile, customer-centric, and responsive to emerging trends in order to maintain a competitive edge in the marketplace.

How to Improve the B2B Customer Experience: Best Practices

Improving the B2B customer experience involves a combination of strategic planning, effective communication, and a customer-centric approach. Here are some best practices to improve B2B CX.

Create an Integrated CX Approach

In the B2B world, customers use a wide variety of channels to interact with your brand. However, the data most companies collect stays in those channels, and it is analyzed independently of the broader experience. 

To improve customer experience, your organization must adopt an integrated CX approach so that you can unlock valuable insights from all sources of customer data, then take action and drive measurable outcomes for your customers. This means collecting and connecting CX data from every touchpoint and channel for a complete view of the B2B customer journey, then navigating and interpreting that data to understand where to focus for the highest impact for your customer and for your business.

Collect Customer Feedback

Invest time in understanding the unique needs and pain points of your B2B customers. Conduct surveys, interviews, and regular feedback sessions to gather insights into their challenges and expectations.

Using information from unsolicited feedback, companies can gain valuable insights into how to improve their brand, products, services, and overall customer experience. B2B companies that are able to monitor and manage customer feedback also often have a more complete understanding of their customers, and can easily measure customer satisfaction and loyalty. 

Common sources of customer feedback include:

  • Customer feedback surveys 
  • Comment cards 
  • Emails and phone calls 
  • Focus group discussions and roundtables
  • Online reviews and ratings
  • Social media comments
  • Customer interviews and business reviews
  • User experience and usability tests

The most successful companies listen to and act on feedback in order to understand their customers better and deliver improved customer experiences. The challenge is to move beyond simply collecting data. A number of successful B2B brands today deploy Voice of the Customer programs to ensure they are really hearing their customers and extracting rich, meaningful insights from their feedback.

Map the B2B Customer Journey

A customer journey map is a visualization of each step your customers take — from the moment they encounter your brand to when they make a purchase and how they react afterward. Using a customer journey map can help your company continuously identify and anticipate the needs, motivations, and actions of your customers. 

Through customer journey mapping, your organization can construct customers’ decision-making scenarios — and better understand the factors that influence purchase decisions and move sales cycles forward. This then aids your efforts to deliver improved customer experiences, drive more sales, acquire and retain more customers, and improve your business processes.

Offer More Personalized Experiences

In a world where consumers are bombarded by hundreds or even thousands of marketing and sales messages every day, personalization holds the key to standing out and cutting through the noise. 

There’s a wide range of personalization tactics, both online and offline, that you can apply to improve the B2B buyer’s customer experience — from customer-specific content and personalized packaging to responsive website design and insight into customers’ order histories. 

By increasing personalization in interactions, touchpoints, and engagements, you give customers a sense of identity and can more easily attract their attention that way. 

Personalization also serves as a sign of respect for customers’ loyalty and business. It signals that your business is interested in strengthening the relationship by providing relevant suggestions, better service, and more informed support. This is why IBM assigns specialists to help its cloud storage suite customers get set up: not only does it help customers maximize the value of IBM’s products and services; it also drives personalized experiences that resonate with individual organizations. 

Ensure Timely Response, Delivery, and Resolution

Great customer service is a major component of great CX. This means ensuring timely response, delivery, and resolution of issues; it means attending to customer needs and solving their specific problems. It’s important to provide responsive customer service through various channels, including email, phone, and live chat. Also, be sure you work closely with customers to address challenges, gather their input, and implement solutions that align with their business objectives.

Maintaining open and proactive communication throughout the customer journey is also a critical aspect of B2B CX management. Keep customers informed about product updates, new features, and relevant industry trends. Clearly communicate pricing, terms, and conditions. Through proactive communication and transparency, you can inspire brand trust and establish a solid foundation for long-term relationships.

Provide Self-Service Options

With research showing that B2B customers want self-service options for parts of the buying process, it’s essential for your organization to explore and invest in self-service technologies. 

Just as a person shopping online has a wide range of products and services to choose from, your B2B buyers should also be able to access content, support, scheduling, and purchasing independently, without direct assistance from a representative. 

Examples of self-service tools that B2B businesses can use include:

  • Customer portals for account management, order history, and invoice tracking
  • E-commerce platforms for product catalog, online ordering, secure payment processing
  • Knowledge bases and customer support portals for ​​troubleshooting guides, FAQs, ticket submission, case tracking, and self-help resources
  • Feedback and survey tools for sharing input on customers’ experiences and gathering insights for improvement
  • Collaboration tools for document sharing, project management, and communication channels
  • Chatbots for responses to common queries, product recommendations, and product and service guides

Offering self-service tools and options can directly impact customer satisfaction, as well as contribute to operational efficiency, allowing your team to focus on more strategic aspects of your relationship with clients. 

Digitize the B2B Journey

B2B buyers demand tools that simplify and streamline the entire buying process — from research and planning, through engagement, to the post-sales phase. This makes it critical to invest in technology that will better engage consumers and make every part of the customer journey pain-free.

You can implement user-friendly online platforms, intuitive interfaces, and streamlined procedures for ordering, invoicing, and payment. Another good example is utilizing digital “track and trace” systems so that clients can see the status of their orders and actions in real time. As you digitize the B2B journey, ensure robust data security measures to instill trust in your B2B customers and help them build confidence in your partnership.

Achieve B2B Customer Experience Excellence with InMoment

Managing the B2B customer experience is not just about individual transactions but about building and sustaining successful, long-term relationships with your customers. With InMoment, you can integrate customer signals across all relevant channels, gain deeper insights into the B2B buyer’s journeys and experiences, and take informed action with the world’s most recommended CX platform.

References 

SmartKarrot. “75 Must-Know Customer Experience Statistics to Move Your Business Forward” (https://www.smartkarrot.com/resources/blog/customer-experience-statistics/). Access 1/3/2024.

TrustRadius. “022 B2B Buying Disconnect: The Age of the Self-Serve Buyer” (https://solutions.trustradius.com/vendor-blog/2022-b2b-buying-disconnect-the-age-of-the-self-serve-buyer). Access 1/3/2024.

Edelman. “How B2B Companies are Adapting Customer Engagement Strategies During COVID” (https://www.edelman.com/expertise/business-marketing/how-b2b-companies-are-adapting-covid). Access 1/3/2024.

Korn Ferry. “The 2021 Buyer Preferences Study: Reconnecting with Buyers” (https://www.kornferry.com/content/dam/kornferry-v2/featured-topics/pdf/2021-Buyer-Preferences-Study.pdf). Access 1/3/2024.

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