How to Improve Customer Experience In Your Organization

Working to improve customer experience is an important part of CX management and something that organizations should be continuously striving for. If your customer experience does not evolve with your business, it can negatively impact your revenue and overall business performance.
Group of people in a business meeting working to improve customer experience

Did you know that when you improve customer experience, you can realize financial benefits that directly affect the growth of your organization? By improving customer experience, you can: 

  • Increase sales revenue by up to 7%
  • Increase cross-sell rates by up to 25%
  • Increase shareholder return by up to 10%

These statistics show that customer experience improvement is something that should be a priority across your entire organization, rather than being a siloed effort. 

What is Customer Experience Improvement? 

Customer experience improvement refers to enhancing the interactions and overall satisfaction a customer has with your business across all touchpoints. This involves understanding customer needs and expectations, as well as any pain points they have in the customer journey, and working to address them. 

The goal of customer experience improvement is to create a positive customer experience where the customer always feels supported. 

What is A Customer Experience Improvement Program?

A customer experience improvement program is a structured initiative designed to enhance the interactions a customer has with a brand. Customer experience programs are built upon strategies for gathering customer feedback, analyzing voice of the customer data, and implementing changes to the customer experience. 

A customer experience program helps your organization improve customer experience by facilitating cross-functional collaboration between various departments such as sales, marketing, support, etc. 

Benefits of Improving Customer Experience

When you improve customer experience, you will notice benefits that reach every part of the organization. Some of the benefits of improving customer experience include: 

Increased Customer Loyalty

When you have a consistently positive customer experience, you will create loyal customers. Customers will become loyal to your brand after a varying number of positive experiences. 50% agree that it takes between three and four purchases, while 37% agree it takes more than five purchases. But, by improving customer experience, you will have no problem achieving these customer milestones and increasing customer loyalty

Higher Customer Lifetime Value

Satisfied customers tend to spend more over time, especially when compared to new customers. By improving customer experience, you increase the customer lifetime value by encouraging repeat purchases, cross-selling, and upselling opportunities. 

Improved Customer Satisfaction 

You will increase customer satisfaction by improving customer experience and reducing the pain points in the customer journey. As a result, those satisfied customers will be more likely to recommend your products or services to others. 

Enhanced Brand Reputation 

When you improve customer experience, customers will trust you more. And 88% of customers who trust a brand will become repeat customers. Improving customer experience will also result in increased brand equity, which is a key determining factor in what organizations consumers choose to give their business to. 

Stronger Competitive Advantage

In competitive industries, customer experience is often a key differentiating factor. As a matter of fact, 93% of businesses cite CX as either a primary differentiator or a partial differentiator. Improving the customer experience will help your business stand out in the market and attract more customers. 

10 Ways to Improve Customer Experience

It can be easy to get overwhelmed with all the things that can be done to improve customer experience for your organization. However, these ten action items represent the most important and impactful factors of the customer experience. 

1. Listen to Customer Feedback

Most companies receive customer feedback, but few organizations take the steps necessary to listen to and implement customer feedback in their organization. It is important that you actively examine the voice of customer data to understand what is going well, and what could be improved, in your customer experience. You can also improve customer experience by utilizing tools like sentiment analysis, which will help you analyze unstructured data. 

How Can Sentiment Analysis Be Used to Improve Customer Experience

Sentiment analysis can be a powerful tool for improving customer experience by providing real-time insights into how customers feel about your products or services. By analyzing text data from reviews, social media, surveys, and support tickets, your business can identify trends in customer emotions as well as promptly address complaints, and adjust your offering based on customer sentiments.

A sentiment analysis that shows trending keywords by sentiment.

2. Personalize Interactions

The majority of today’s consumers expect personalized interactions. You can improve customer experience by tailoring communications and offerings based on individual customer behaviors. 

Examples of Personalized Interactions

For example, an e-commerce website might suggest a hat to go with a recently purchased shirt. Or a financial services institution might notice a customer opening a new savings account and suggest they meet with an in-house financial advisor. 

3. Streamline Processes

One of the best ways to improve customer experience is to improve organizational performance. If your organization is operating efficiently, your customers will almost certainly experience an efficient experience. For example, undergoing contact center optimization may help customer profiles become more easily accessible to agents. If agents can access customer information easier, they can improve issue resolution time and, as a result, improve the customer experience. 

4. Train Employees 

You can improve customer experience by ensuring that your employees are equipped with the knowledge and skills needed to deliver excellent service. Furthermore, suppose you understand the importance of employee loyalty. In that case, you know that employee retention is crucial in keeping costs low so that more time and effort can be spent trying to improve customer experience. 

Employee training goes beyond the onboarding process. It is also important to effectively manage and train employees continuously throughout their careers. Tracking employee statistics and their engagement with customers will help you train them to provide the best service.

Case management dashboard where employees can see top priority issues.

5. Reduce Customer Churn

It might seem counterintuitive to try and improve customer experience by decreasing customer churn. But, the two are closely related. If you analyze your customer churn rate and find out what is driving churn, you can implement initiatives to eliminate churn factors in your organization. 

By removing the things that are causing your customers to leave, you will give them more of a reason to stay, which will improve customer experience. 

6. Reward Loyal Customers

Implement a customer loyalty or rewards program that acknowledges and incentivizes repeat business. 83% of consumers say that belonging to a loyalty program influences them to buy from a brand again. By offering discounts, early access to new products, or other perks, you can retain loyal customers by creating a sense of appreciation and rewarding them for doing business with your brand. 

7. Offer Self-Service Options

79% of consumers expect organizations to provide self-service tools, and 77% view organizations more positively when they do. By offering self-service options, you can help customers save time while simultaneously reducing the pressure on support teams. This leads to overall increased issue resolution and increased satisfaction. 

8. Respond to Reviews

Responding to reviews is an important part of improving the end-to-end customer experience. InMoment research shows that the majority of consumers expect organizations to respond to reviews within a week, but 63% of consumers say they’ve never heard back from a business after leaving a review. Responding to reviews is an important part of making your customers feel valued and understand the real-time performance of your customer experience efforts. 

With InMoment’s reputation management software, you can utilize AI to generate review responses. The responses can be tailored to your organization to match your brand’s tone and style guidelines. This functionality can make sure all customer reviews receive a response in a timely manner. 

AI generated review responses.

9. Create an Omnichannel Experience

An omnichannel customer experience allows customers to have a consistent journey across all platforms whether online, in person, via mobile app, or over the phone. Customers should be able to switch channels without having to repeat information or experience a delay. By creating an omnichannel experience, you make it easier for your customers to interact with your brand how they want to, which will improve their experience. 

10. Track Customer Experience Metrics

You can continuously work to improve customer experience by tracking customer experience KPIs. You can use metrics such as Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Customer Effort Score (CES) to monitor specific aspects of your customer experience and identify areas of improvement. By attaching metrics to your customer experience efforts, you make it easier to ensure that customer needs are consistently met and also gives you the ability to show customer experience ROI to key stakeholders in your organization. 

InMoment’s XI Platform gives you an overview of how your organization is performing on your most important metric, with the ability to dive deeper into specific aspects of the reporting. The XI platform also identifies the biggest areas for improvement to help you continue to realize CX success. 

Customer experience dashboard that shows a drop in CSAT and where the biggest areas for improvement are.

Improving customer experience is an initiative that requires alignment throughout your entire organization. While the tips listed above represent a great starting point in your customer experience improvement journey, some industries require more specific focuses to move the needle. 

How to Improve Customer Experience in Retail

The ecommerce customer experience for retail brands has become increasingly important as consumers spend more time online shopping each year. In order to improve the overall retail experience, you need to take into account the ways in which your customers prefer to shop. Here are some tips to improve customer experience in retail: 

1. Offer Omnichannel Shopping Experiences

Retail consumers expect to switch between channels during their shopping experience easily. In the last 5 years, buy online pickup in store (BOPIS) orders have increased by over 200%. This means that more consumers than ever are starting their shopping online, and finishing it in-store. To account for this, ensure that your store is up to date with the latest technology so that these orders can be completed seamlessly. 

2. Implement Virtual Try-Ons

Using augmented reality technology to allow customers to try products virtually will enhance their shopping experience. One retailer saw that when a customer engaged with AR technology, they had a conversion rate that was 90% higher than customers who did not engage with the same technology. Utilizing this technology creates an interactive and engaging experience that helps customers make informed decisions and reduces returns. 

3. Curate Personalized Product Recommendations

88% of consumers are more likely to continue shopping with a brand that gave them a personalized experience, and 68% of consumers bought an item that they didn’t intend to based on recommendations. Using customer data to curate personalized product recommendations will increase customer loyalty and customer lifetime value. 

How to Improve Customer Experience in Financial Services

The financial services customer experience has changed a lot in recent years. Consumers are rarely visiting branches, and digital banking usage has increased exponentially. However, there are some values that all financial consumers share, and capitalizing on those will help your institution improve customer experience. 

1. Implement Personalized Financial Advice

Use data analytics to provide personalized financial advice based on customers’ spending habits, life stages, and goals. For example, InMoment research found that 25% of Gen Z and Millennials were not interested in pensions and retirement plans. These customers would prefer to hear about other money management opportunities. Consider implementing online portals or virtual advisor meetings that allow for these consumers to get personalized advice. Offering tailored financial advice will make customers feel valued and increase customer loyalty. 

2. Focus on Security and Fraud Prevention

InMoment research found that 90% of financial consumers were concerned about cybersecurity. In order to retain these customers, they need to trust that your organization will keep their data secure. Implementing advanced fraud detection systems, offering two-factor authentication, and regularly educating customers on cybersecurity practices can enhance trust and create a sense of security.

3. Develop Financial Literacy Programs

One of the best ways to retain financial services customers is to assist in their education. Offering educational resources such as webinars, tutorials, or guides, can empower customers to educate themselves and make informed decisions. By supporting financial education, you show your customers that you care about their long-term financial well-being. 

How to Improve Customer Experience in Healthcare

In order to improve customer experience in healthcare, you need to make it easier for patients to engage with your practice. In an increasingly digital world, patients are spending less time making phone calls to a provider’s office and spending more time researching and booking appointments online. Here are three main things you can do to improve the healthcare customer experience

1. Simplify Appointment Scheduling

The majority of consumers prefer to book appointments through digital channels such as online or via a mobile app as opposed to calling an office. To match this demand, make sure your practice has user-friendly scheduling systems that can be accessed from multiple devices. By offering these services along with appointment reminders, you make it easier for new and current patients to book and attend their appointments. 

2. Manage Local Listings and Reviews

It has never been more important for healthcare providers to have up-to-date information online. The quality and completeness of a provider’s profile is the most important factor to someone looking to book an appointment. Reviews are also important, as patients read an average of five reviews before choosing a provider. 

Consider choosing a local listings management software to help you ensure that your practice has the most accurate information available to prospective patients. This can also be used alongside a review management platform that will help you monitor and respond to reviews across the most important sites such as Google, Yelp, and Healthgrades. 

3. Build Mobile-Friendly Pages

When conducting research and reading reviews about a provider, almost 70% of patients prefer to use a smartphone or tablet. Similarly, the use of laptops or desktops to do this same research has dropped by almost 30%. In order to make your pages available to consumers on all devices, make sure that your website can support mobile devices, tablets, and desktop computers. This functionality will allow all consumers to view information about your practice and read reviews with ease. 

Why Improving Customer Experience Is Important for Organizational Performance

Improving customer experience is important for organizational performance because it can directly affect the amount of revenue your organization generates. Forrester research shows that improving your CX Index score by just one point can generate anywhere from $36 million to $1.2 billion in additional annual revenue depending on your industry. 

Improving customer experience gives customers more of a reason to stay customers, as well as recommend your organization to others. By finding the relationship between CX and growth in your business, you can accurately predict the financial improvement driven by CX improvement. 

How to Start a Customer Experience Improvement Program

Starting a customer experience improvement program is a step forward to becoming a customer-focused organization. When starting from scratch, there are three important things to consider to improve customer experience. 

1. Define the Vision and Goals

Start by outlining the kind of customer experience your organization is trying to deliver. This should align closely with your brand’s values and overall business strategy. Furthermore, choose which customer experience metrics your customer experience improvement program will track. You can choose between customer satisfaction (CSAT), Net Promoter Score (NPS), customer effort (CES), or any other metric that makes sense for your business. 

2. Secure Executive Support

It is important to make sure that the leadership and executive team at your organization understand the importance of CX and are committed to supporting the program. This will help secure resources and drive organizational alignment. 

After you have received executive support, you will want to appoint a CX leader. This can be a singular person or a team. The CX leader will spearhead the program’s initiatives and ensure accountability. 

3. Map the Customer Journey

After setting your goals and securing buy-in, you are ready to get started. You can start by utilizing customer journey mapping to understand the journey your customers go through when choosing to do business with you. This will help you understand the most important touchpoints and make an initial plan. 

To see a more in-depth look of running a customer experience improvement program, check out all the capabilities you gain with a dedicated customer experience platform

Improve Customer Experience with InMoment 

InMoment’s customer experience platform is designed to help you improve customer experience, regardless of if you are just getting started or already have an established system. Our best-in-class tools and experienced consultants will help you improve your main metrics. To see how InMoment’s platform can be customized to fit your needs, schedule a demo today!

References 

Mckinsey & Company. Experience-led growth: A new way to create value. (https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/experience-led-growth-a-new-way-to-create-value). Accessed 9/13/2024. 

Mckinsey & Company. Prediction: The future of Customer Experience. (https://www.mckinsey.com/tr/our-insights/prediction-the-future-of-customer-experience). Accessed 9/13/2024. 

Deloitte Insights. Challenging the orthodoxies of brand trust. (https://www2.deloitte.com/us/en/insights/topics/leadership/brand-trust-and-challenging-orthodoxies.html). Accessed 9/16/2024. 

yotpo. How Many Purchases Does it Take to Create Brand Loyalty? (https://www.yotpo.com/blog/purchases-brand-loyalty/). Accessed 9/17/2024. 

Forrester. How Customer Experience Drives Business Growth, 2022. (https://www.forrester.com/report/how-customer-experience-drives-business-growth-2022/RES177564). Accessed 9/18/2024. 

Yotpo. The State of Brand Loyalty 2022. (https://www.yotpo.com/the-state-of-brand-loyalty-2022/).  Accessed 10/1/2024.

Higher logic. 15 Customer Self-Service and Experience Stats To Know (2020). (https://vanilla.higherlogic.com/blog/customer-self-service-stats-2020/). Accessed 10/1/2024.

Adobe. Adobe Digital Economy Index. (https://www.adobe.com/content/dam/dx/us/en/experience-cloud/digital-insights/pdfs/adobe_analytics-digital-economy-index-2020.pdf).  Accessed 10/1/2024.

Retail Customer Experience. Why retailers should embrace augmented reality in the wake of COVID-19. (https://www.retailcustomerexperience.com/articles/why-retailers-should-embrace-augmented-reality-in-the-wake-of-covid-19/).  Accessed 10/1/2024.

Elastic. Personalization’s critical role in converting ecommerce searches into sales. (https://www.elastic.co/explore/improving-digital-customer-experiences/personalizations-critical-role-in-converting-ecommerce-searches-into-sales). Accessed 10/1/2024.

Q3 Product Feature Highlights

Discover InMoment’s 2024 Q3 product release introduces advanced features designed to enhance customer feedback analysis and operational efficiency. Key innovations include API-driven competitor review data ingestion, localized search insights, and smart summaries for faster data analysis. These updates streamline decision-making, helping businesses gain deeper insights and stay competitive.
InMoment logo

InMoment’s Q3 product release focuses on making integrated CX more actionable, faster, and easier. With AI-powered improvement suggestions, more robust API integrations and intelligent automation, competitor review data ingestion, and individual speaker insights from customer conversations—it’s time to take your CX program to new levels.

To dive deeper into these advancements, speak with an expert or contact a dedicated account manager.

Smartest Actions

1. Smart Recommendations and Summaries

Reduce time to insights and improve program engagement with coaching recommendations

Let AI be your sidekick to make sense of your customer voice in seconds. Generate contextual program recommendations and summaries on any widget to understand the data behind visualizations and suggestions for improvement. These summaries can be shared across teams, helping to streamline decision-making and foster engagement across the organization.

Use Case: “As a CX Analyst, I want to quickly understand anomalies in my data and provide a summary of findings and recommendations for next steps to my Executive audience.”

Understand Conversational Experiences: Reduce time to insights and improve program engagement

2. Google Post Publishing

Drive sales with easy publishing from Local Listings

Promote your business updates, sales, and events directly on Google through streamlined post publishing. Engage local customers and enhance local business listing visibility, ensuring your business stays top-of-mind as potential customers browse online.

Use Case: “As a marketing manager, I need to be able to share business updates, promotions, and events via Google Posts, so that we inform and engage with our customers as they browse online and allow them to make better decisions.” 

Local Listing Management: Create and publish Google Posts.

Google Post publishing dashboard.

Richest Insights

3. Pinpoint Speaker Insights

Gain personalized insights by targeting individual speaker sections

Target individual speaker insights with accuracy. Section-level filtering surfaces specific conversations with sections meeting your criteria, such as the exact speaker and certain mentions, ensuring you can focus on what matters most—understanding a customer’s intent or identifying agent performance improvement areas.

Use Case: “As a CX manager, I want to focus on the insights from an individual speaker so I can identify pain points, optimize agent performance, understand the overall conversation, and create a plan to address needed areas of improvement.”

Conversational Insights on Particular Areas of a Document: Speaker-specific insights for targeted agent training and customer understanding

4. Add Context With Widget Comments

Describe events in specific areas of charts and graphs

Reduce confusion by adding comments to specific sections of widgets, offering clear context on particular events or trends. Whether explaining sudden changes in performance or a shift in customer feedback, widget comments enable clarity for better decision-making.

Use Case: “As a CX Manager, I want to quickly explain things to my ELT viewer, such as why there is a dip in this line graph or why the NPS changed from last month to this month.”

Enhance Understanding: Add comments describing events and observations for specific areas of charts and graphs.

Strongest Signals

5. Ingest Competitor Review Data via API

Gain a competitive advantage with richer insights into how to take market share from competition

Easily merge competitor review data from multiple review sources with other key experience signals in your preferred BI tool. Gain deeper, actionable insights that reveal your competitors’ strengths and weaknesses, allowing you to focus your strategy to increase performance and become the brand that customers prefer over others. 

Use Case: “As a marketing manager, I need richer insights from our competitor analysis to build effective strategies to outperform the competition.”

Competitor Review: Combine your competitor reviews with other experience signals in your preferred BI tool.

Business intelligence dashboard showing reviews for you and your competitors.

6. Set Local Search Zone

Optimize your local SEO with a fixed search zone radius

Most companies have a specific search zone radius in mind they’d like to monitor and track across their search terms and locations. Focus on the areas that matter the most in your local SEO strategy, and extract consistent search rank data, across locations and search terms, that allows for easy comparison. Quickly spot top-performing search terms with clearer, actionable insights and apply learnings to increase organic revenue.

Use Case: “As a marketing manager, I need to be able to set and track a fixed search zone radius across all search terms and locations, so that I can focus exclusively on the area aligned with my strategy and better capture and analyze business opportunities within that zone.”

Localized Reviews: Set a fixed local search radius across your locations. 

Business search terms and locations being tracked within a 5 mile radius

Discover These and Other Innovative Product Features 

The features unveiled today offer a glimpse into the innovative products and features currently available, as well as those on InMoment’s extensive innovation roadmap. Contact us or a dedicated account manager if you want to learn more. InMoment has shared its press and release notes, highlighting its technological advancements and industry leadership.

2024 Product Feature Releases

Explore the latest product feature releases, with more details available below.

Each product feature supports an integrated customer experience approach, empowering businesses to collect customer data across the entire customer journey. Our proprietary AI-based technology automates and analyzes data from every channel, revealing key areas for business growth, enhancing efficiency, and providing deeper insights into feedback, sentiment, buyer behavior, and market dynamics.

Stay Ahead with InMoment’s Innovative Solutions

Stay ahead of the competition with InMoment’s continuous innovation. Our latest product features empower businesses to better understand customer feedback and enhance operational efficiency, giving you the tools to make smarter, data-driven decisions. With a commitment to evolving our solutions, InMoment helps you stay agile, gain a competitive edge, and drive meaningful business outcomes. Learn more about our XI platform, the world’s most recommended CX solution. 

Tech Outages and Customer Feedback: How a Leading Bank Leveraged InMoment’s Platform

The CrowdStrike outage shows the need to be prepared when crises happen, as they don't just impact operations—they shake customer confidence and loyalty.
Three business people sitting in a large room while typing

Did you know that 77% of customers expect to interact with someone immediately when they contact a company during a crisis? 

In our hyper-connected world, tech outages and cybersecurity incidents have become an unfortunate reality. The recent global outage affecting major service providers like Microsoft and CrowdStrike has highlighted the need for businesses to be prepared. When such disruptions occur, they don’t just impact operations; they shake customer confidence and loyalty. For enterprise companies, the stakes are even higher. The key to navigating these turbulent times lies in capturing and responding to customer feedback as quickly as you can. 

Recognising the urgency, InMoment experts have quickly put together a framework on best practices to help businesses navigate these disruptions effectively.

The Significance of Real-Time Feedback During Outages

When a tech outage hits, customers immediately feel the impact. Whether it’s a supermarket where transactions are delayed, a bank with disrupted online services, or an airport where flight information systems go down, the frustration is real—and customers have little bandwidth for the inconvenience.

Real-time feedback during these moments is more important than ever before. It allows businesses to understand customer pain points as they happen and to respond as quickly as possible.

Capturing feedback in real time isn’t just about damage control—it’s about gaining insights into the customer experience during a crisis. This immediate understanding helps businesses prioritize issues, allocate resources effectively, and maintain a proactive stance rather than a reactive one.

What Sources Should You Be Capturing? 

During a crisis, feedback floods in from various channels—social media, emails, call centers, in-app messages, and more. Manually sorting through this avalanche of information is just not possible. 

Your CX platform should be aggregating feedback from all these sources, providing a holistic view of customers—what they’re feeling, what they’re saying, what they need. Whether a customer is calling about a delayed service, emailing about an inaccessible account, or leaving a message through your app, your CX platform should be capturing all of it. This omnichannel customer experience approach makes sure that no feedback is overlooked, and enables your businesses to respond effectively to the most pressing issues.

How a Leading Bank Used InMoment’s Platform to Navigate a Major Tech Outage

When the recent tech outage disrupted services across multiple industries, a leading Australian bank found itself at the epicenter of the crisis. With online banking services down and customers unable to access their accounts, the potential for a significant loss of trust and satisfaction was high. But, by leveraging InMoment’s Advanced AI and Workflow capabilities, the bank was able to turn a potential disaster into a proof point that highlights its commitment to customer experience.

Identifying and Analyzing Feedback with Advanced AI

As soon as the outage hit, the bank saw a surge in customer inquiries and complaints across various channels, including emails, call centers, social media, and their mobile app. Sorting through this massive influx of feedback manually would have been in impossible. Instead, the bank utilized InMoment’s advanced natural language processing (NLP) to aggregate and analyze the feedback in real time.

The AI-powered text analysis software swiftly categorized the feedback based on urgency and topic, identifying the most affected services, such as online transactions, account access, and customer support. By using NLP, the system was able to understand the underlying sentiment and priority level of each piece of feedback. This allowed the bank to quickly understand the most critical pain points for their customers.

Proactive Communication with Targeted Updates

Using these insights, the bank implemented a proactive communication strategy. They used InMoment’s workflow capabilities to automate and personalize their responses, ensuring that each customer received timely and relevant updates. Here are some examples:

  • Emails and Notifications: Customers who prefer using online banking received detailed emails explaining the nature of the outage, expected resolution times, and alternative ways to manage their accounts during the downtime.
  • Social Media Responses: The bank’s social media team was equipped with data-driven insights to address widespread concerns and provide real-time updates on platforms like Twitter and Facebook.
  • Call Center Scripts: InMoment’s platform helped create dynamic call center scripts that guided agents in addressing the most common issues and providing accurate information to anxious customers.

Ensuring Transparency and Maintaining Customer Satisfaction

The bank’s commitment to transparency was evident through their consistent and honest communication. They didn’t shy away from acknowledging the inconvenience caused by the outage and re-assured customers by detailing the steps being taken to resolve the issues. This transparency helped in maintaining customer trust and satisfaction during a challenging time.

Strengthening Customer Relationships with AI-Driven Insights

Beyond managing the immediate crisis, the bank used the incident as an opportunity to strengthen their customer relationships. InMoment’s Advanced AI tool provides deep insights into the specific needs and preferences of their customers. For example, they identified a segment of customers who preferred SMS updates over email, and they can adjust their communication strategy accordingly.

By analyzing the feedback and outcomes, the bank can now implement several improvements for a stronger future:

  • Enhance their digital infrastructure to prevent similar outages in the future.
  • Develop more robust contingency plans and customer communication protocols.
  • Personalize customer service strategies based on the preferences identified during the crisis.

By aggregating and analyzing feedback in real time, automating personalized responses, and maintaining transparent communication, the bank was able to manage the crisis effectively and even strengthen their customer relationships.

For CX Leaders, this case study underscores the importance of leveraging advanced technology to handle crises. InMoment’s integrated customer experience platform provides the tools necessary to not only respond to immediate challenges but also to build a more resilient and customer-centric organization.

Improve Your Crisis Management with InMoment

Ready to transform your crisis management strategy? Learn how InMoment can help you capture real-time feedback and enhance customer loyalty during tech outages. Talk with an expert today for more information.

References 

Salesforce. State of the Connected Customer Report. (https://www.salesforce.com/resources/research-reports/state-of-the-connected-customer/). Accessed 7/19/2024.

unstructured data analytics

Any successful business knows that understanding their customers is key to success. The best way to do that is by being able to understand the vast amounts of unstructured data that come with customer interactions.

What is Unstructured Data?

Unstructured data refers to information that doesn’t have a predefined data model or isn’t organized in a structured manner like traditional databases. Unlike structured data, which fits neatly into rows and columns, unstructured data lacks a clear format, making it more challenging to analyze using traditional data processing techniques.

What Are the Characteristics of Unstructured Data?

Unstructured data is characterized by its lack of organization. It doesn’t adhere to a predefined schema or format, which makes it difficult to organize and categorize. Unstructured data often comprises a significant portion of the total data generated by organizations and individuals. Analyzing unstructured data requires more advanced techniques than standard data analysis. 

Where Does Unstructured Data Come From?

Unstructured data can come from various sources. Anytime data is qualitative, like how different customers felt they were treated by your business, it is most likely unstructured data. Other examples of unstructured data sources include social media posts, call transcriptions, and customer reviews. 

Why Is Unstructured Data Important?

To put it simply, it is estimated that close to 90% of all data is unstructured. Unstructured data is so important because it represents such a large portion of the total amount of data you will interact with. If you do not have ways of dealing with this data, you will fall behind your competitors. 

Furthermore, the most important customer data is unstructured. Normal data analysis won’t be able to tell you about a customer’s feelings related to your brand, and how those feelings will affect their interactions with your brand in the future. 

Structured Data vs Unstructured Data

Structured data and unstructured data differ primarily in their organization, format, and ease of analysis. Structured data is organized neatly into rows and columns within a database or spreadsheet, following a predefined schema. Unstructured data doesn’t adhere to a specific format or structure, which makes it more challenging to categorize and organize.

Similarly, structured data typically exists in a structured format such as databases (SQL, NoSQL), spreadsheets (Excel), or other tabular formats. Unstructured data doesn’t follow a standardized structure and can exist in forms from audio files to customer reviews. 

Overall, structured data typically represents a smaller portion of the overall data compared to unstructured data, and is relatively easier to analyze using traditional data analysis techniques. 

Examples of Unstructured Data

The best example of unstructured data is customer reviews. Online reviews don’t usually hold much quantitative value, but that doesn’t mean their impact is any less significant. Customer reviews can either elevate your brand by increasing consumer trust and brand reputation, or they can deter potential customers away from your business.

Another example of unstructured data is a call transcript. Customers who speak with contact center agents often provide key pain points that they need to be able to identify. Analyzing these transcripts with solutions such as conversation intelligence can reveal valuable insights into customer preferences, concerns, and issues, which can inform business strategies and improve customer service.

How is Unstructured Data Used?

Unstructured data, despite its inherent complexity, holds immense potential for various applications across industries. By leveraging advanced unstructured data analytics techniques, organizations can extract valuable insights and derive actionable intelligence from unstructured data. 

When customer data comes in the form of social media posts, reviews, or survey responses, it can be analyzed to gauge public sentiment toward products, services, brands, or events. Sentiment analysis algorithms classify text data as positive, negative, or neutral, which provides valuable feedback for businesses to understand customer perceptions and sentiment trends.

Consider a retail company that monitors social media platforms to analyze customer feedback about its new product release. By conducting sentiment analysis on tweets and comments, the company identifies areas of improvement, addresses customer concerns promptly, and adjusts its marketing strategies to enhance customer satisfaction down the road.

Advantages and Disadvantages of Unstructured Data

Unstructured data offers organizations rich insights and real-time feedback from diverse sources like social media and customer interactions, driving innovation and flexibility in decision-making. However, its inherent complexity, large volume, and potential quality and security challenges can pose significant hurdles in analysis, storage, and privacy protection. Here is an overview of the advantages and disadvantages of unstructured data:

Advantages of Unstructured Data:

  • Rich Insights: Unstructured data often contains rich, diverse information that can provide valuable insights into customer behavior, market trends, and business operations. By analyzing unstructured data, organizations can uncover hidden patterns, correlations, and opportunities that may not be apparent from structured data alone.
  • Real-Time Feedback: Unstructured data sources such as social media, customer reviews, and online forums provide real-time feedback and insights into customer sentiment, preferences, and opinions. This enables organizations to respond quickly to customer needs, address concerns promptly, and adapt their strategies in real-time to meet changing market demands.
  • Flexibility: Unstructured data is inherently flexible and adaptable, allowing organizations to capture and analyze a wide range of data types and formats, including text, images, videos, and audio recordings. This flexibility enables businesses to gain a comprehensive understanding of their customers and operations, driving innovation and competitive advantage.
  • Innovation: Unstructured data fuels innovation by providing new sources of inspiration, creativity, and discovery. By exploring unstructured data sets, organizations can uncover novel insights, ideas, and solutions that lead to breakthrough innovations, product enhancements, and business opportunities.

Disadvantages of Unstructured Data:

  • Complexity: Unstructured data is inherently complex and challenging to manage, analyze, and interpret. Unlike structured data, which follows a predefined schema and format, unstructured data lacks organization and consistency, making it difficult to extract meaningful insights without advanced analytics tools and techniques.
  • Volume: Unstructured data often constitutes a significant portion of the total data generated by organizations, resulting in data overload and scalability issues. Managing and storing large volumes of unstructured data can strain IT infrastructure, increase storage costs, and impact performance.
  • Quality: Unstructured data may vary widely in quality, accuracy, and reliability, leading to potential inaccuracies and biases in analysis and decision-making. Cleaning, preprocessing, and validating unstructured data can be time-consuming and resource-intensive, requiring careful attention to ensure data quality and integrity.
  • Privacy and Security Risks: Unstructured data may contain sensitive or confidential information, such as personal data, intellectual property, or trade secrets, which pose privacy and security risks if not adequately protected. Unauthorized access, data breaches, and regulatory compliance issues are significant concerns associated with unstructured data, requiring robust security measures and data governance frameworks to mitigate risks.

Overall, there are various pros and cons to the use of unstructured data. But, if businesses are diligent in setting up the proper unstructured data analysis processes, it can provide a wealth of useful information to your business. 

How Unstructured Data Relates to the Customer Experience

Harnessing the power of unstructured data will allow you to create the best customer experience for your business. By properly analyzing unstructured data, you will not only be able to identify what your customers are currently liking or disliking, you’ll be able to predict their expectations in the future utilizing predictive customer analytics. Here are some ways that unstructured data can help you improve the customer experience:

Understanding Customer Sentiment

Unstructured data, such as social media posts, customer reviews, and feedback emails, contains valuable insights into customer sentiment. By analyzing the language, tone, and context of customer interactions, you can gain a deeper understanding of customer attitudes towards your products, services, and brand. This knowledge enables organizations like yours to identify areas for improvement, address customer concerns proactively, and enhance overall satisfaction.

Personalizing Customer Interactions

Unstructured data allows businesses to personalize customer interactions and tailor their offerings to individual preferences. By analyzing customer data from various sources, such as call transcripts and purchase histories, organizations can identify patterns and trends that inform personalized marketing campaigns, product recommendations, and customer service interactions. This personalized approach can also be a part of larger AI customer experience initiatives that enhance the customer experience, foster loyalty, and drive customer engagement and retention.

Monitoring Brand Reputation

Unstructured data allows businesses to monitor and focus on their brand reputation management in real-time. By tracking mentions, reviews, and conversations about their brand on social media, news sites, and online forums, organizations can quickly identify and address potential reputation issues or crises. This proactive approach helps safeguard brand integrity, maintain customer trust, and mitigate the impact of negative publicity on the customer experience.

Harness Your Unstructured Data with InMoment

Ready to unlock the full potential of your unstructured data with InMoment? Schedule a demo today and discover how our platform can drive actionable insights and elevate your customer experience strategy!

References 

Research World. Possibilities and limitations, of unstructured data. (https://researchworld.com/articles/possibilities-and-limitations-of-unstructured-data) Accessed 2/29/24.

Why You Should Build an Omnichannel Customer Experience

An omnichannel customer experience allows customers to interact with an organization across multiple channels throughout their customer journey. Customers can effortlessly switch between channels without disruption by providing a consistent experience across online platforms, in-store, mobile apps, and more, ensuring a cohesive and personalized experience that meets their needs at every touchpoint.
Man using mobile payments online shopping and icon customer network connection on screen, m-banking and omni channel

Did you know that marketing campaigns that used three or more channels saw an order rate that was 494% higher than a single-channel campaign? The majority of consumers want to engage with you on multiple channels, and reaching them on multiple channels will make your business more successful. 

However, 77% of organizations admit they struggle to create a consistent customer journey across multiple channels. This is concerning since three out of four consumers don’t want to have to repeat themselves when communicating with representatives. 

In order to capitalize on the modern customer’s expectations, you need to build an omnichannel customer experience that can start, continue, and end on any channel that the customer prefers.

What is Omnichannel Customer Experience?

Omnichannel customer experience refers to providing a seamless customer experience for customers across multiple channels or touchpoints. This approach ensures that customers can interact with a business or brand consistently regardless of whether they are using a website, a mobile app, social media, a physical store, or any other channel.

Omnichannel vs Multichannel

While both omnichannel and multichannel strategies involve leveraging multiple channels, they differ significantly in their approach and execution. Omnichannel strategies prioritize seamless integration and consistency across all customer touchpoints. They aim to provide a unified experience where customers can transition between channels effortlessly, without experiencing any disconnect. Whether a customer interacts via a website, mobile app, social media, or in-person, the experience remains consistent and interconnected. 

Multichannel strategies, on the other hand, may involve using multiple channels independently. While they offer customers various avenues to engage with the brand, there may be less emphasis on integration and consistency between these channels. Customers might have different experiences or encounter discrepancies when switching between channels.

What are the Advantages of Omnichannel Customer Experience?

Omnichannel experiences make it easier for customers to engage with a brand by providing multiple channels through which they can interact. Whether they prefer to shop online, visit a physical store, or contact customer service via social media, customers have the flexibility to choose the most convenient option for them. Aside from convenience, there are many other advantages of implementing an omnichannel customer experience strategy. 

Consistency

Omnichannel strategies ensure a consistent experience across all channels, which builds trust and customer loyalty. Whether they interact with the brand online, in-store, or through a mobile app, customers receive the same level of service and messaging.

Personalization

By integrating data from various channels, businesses can create more personalized experiences for customers. This is extremely beneficial since 71% of consumers want personalized experiences. Organizations can tailor product recommendations, promotions, and communications based on individual preferences and behaviors, leading to higher engagement and conversion rates.

Seamless Transitions

Omnichannel strategies enable seamless transitions between channels, allowing customers to start an interaction on one channel and continue it on another without any disruptions. For example, a customer may research a product online and then visit a physical store to make a purchase, with their shopping cart and preferences already synced.

Insights and Analytics

Omnichannel strategies generate valuable data and insights about customer behavior and preferences across different channels. By analyzing this data, businesses can gain a deeper understanding of their customers and make informed decisions to improve their marketing, sales, and customer service efforts.

Increased Customer Satisfaction

By providing a cohesive and personalized experience across all channels, businesses can enhance customer satisfaction. When customers feel valued and understood, they are more likely to return for future purchases and recommend the brand to others.

How Omnichannel Customer Experience Impacts Your Bottom Line

An omnichannel customer experience can improve every part of your organization and have a huge impact on your bottom line. With InMoment’s XI platform, you can connect data from every source as well as utilize purpose-built tools to ensure that the data collected is the most actionable. 

All of these tools can drive revenue growth, improve profitability, and position a business for long-term success by delivering value to customers at every stage of their journey. Let’s dive deeper into the ways an omnichannel customer experience can impact your bottom line:

Data from multiple sources being sorted to realize benefits such as increased acquisition and retention.

Increased Sales

Omnichannel strategies can lead to higher sales by providing customers with more opportunities to engage with the brand and make purchases. By offering seamless integration between online and offline channels, businesses can capture sales from customers who prefer to shop across multiple channels, resulting in increased revenue.

Improved Customer Retention 

Omnichannel experiences enhance customer satisfaction and loyalty by providing consistent and personalized interactions across all channels. Satisfied customers are more likely to return for future purchases and become advocates for the brand, leading to higher customer retention rates and reduced churn.

Cost Savings

Omnichannel strategies can lead to cost savings by optimizing operational efficiencies and reducing redundant processes. For example, integrating inventory management systems across online and offline channels can minimize inventory holding costs and prevent stockouts or overstock situations. Additionally, providing self-service options through digital channels can reduce the need for expensive customer support resources.

Enhanced Brand Reputation

Positive omnichannel experiences can play a vital role in your brand reputation management, and help you increase customer trust. When customers receive consistent and personalized interactions across all channels, they are more likely to perceive the brand positively and recommend it to others, driving word-of-mouth referrals and organic growth.

With InMoment’s XI Platform, you can listen, analyze, and act on reviews and alerts from your selected websites at a fraction of the cost of other solutions.

Customer review from X (formerly Twitter) with an intent to purchase a camera with a response from customer support.

Competitive Advantage

Offering a seamless and personalized omnichannel experience can differentiate your business from your competitors. Customers are more likely to choose a brand that provides a convenient and consistent experience across all touchpoints, leading to increased market share and sustainable growth.

With InMoment’s XI platform, you can compare your organization against competitors and benchmark performance against them. This can help you determine what you need to improve or invest more to be a leader in the market.

Online reputation benchmarking software showing your business ranked against competitors.

Realized ROI

It is usually difficult for organizations to calculate their customer experience ROI. However, by combining the channels across your customer experience, and with it the data in each channel, you can eliminate the silos in your business and begin to see how your customer experience efforts are impacting your business success. To see how much ROI InMoment can deliver for you, fill out the ROI calculator below!

Calculate your business’s ROI using InMoment’s VoC tools.

Estimated Revenue Growth
Use the calculator to find an estimated ROI
Total ICX ROI

Submit two or more calculators to show an overview of what your integrated CX program could return.

Omnichannel Customer Experience Examples

When companies effectively implement and manage omnichannel experiences with a customer experience platform, they break down the silos between online and offline touch points. In doing so, they can create a cohesive journey that enhances customer satisfaction and drives engagement and loyalty. Here are some examples of what an omnichannel customer experience can look like in action.

Buy Online, Pickup in Store

A customer browses products on a retailer’s website, adds items to their online shopping cart, and selects the option for in-store pickup. When they arrive at the store, they receive a notification on their mobile app, directing them to the designated pickup area. The customer can seamlessly transition from the online shopping experience to the physical store, with their order ready for pickup upon arrival. This is a great example of how omnichannel solutions can improve the retail customer experience.

Mobile App Integrations

A grocery chain offers a mobile app that allows customers to create shopping lists, view digital coupons, and locate products in-store via a digital map. Customers can scan items using their smartphone as they shop, adding them to their digital cart for a faster checkout experience. The app also provides personalized recommendations and offers based on the customer’s shopping history, enhancing the overall shopping experience.

Customer Profiles

An insurance company integrates its communication channels into a customer’s profile. So, if a customer calls customer service to file a claim, the customer service agent can put the details of the specific call into the customer’s profile. That way, when the customer enters a branch to follow up on the claim, the branch agent can pull up the customer’s profile and be completely up to speed with the customer’s experience up to that point. 

With InMoment, you can build unique customer profiles using customizable natural language processing (NLP) to understand individual customer insights and predict their next step in the customer journey.

How to Build an Omnichannel Customer Experience

Implementing a strategy that creates an omnichannel customer experience can seem like a complex process. But, it may not be as hard as you think. Building an omnichannel experience requires creating a customer-focused culture, and software to support it. Here are the steps to get you started building an integrated customer experience

1. Understand Your Customers

Start by gaining a deep understanding of your customers’ preferences, behaviors, and expectations across different channels. Conduct market research, analyze customer data, and gather feedback to identify their preferred channels of interaction, pain points, and opportunities for improvement.

2. Integrate Channels

Choose the best customer experience management software that enables seamless integration and communication between online and offline channels. This may involve integrating data from various systems, such as CRM, e-commerce platforms, POS systems, and customer service software, to create a unified view of the customer journey. One of the most important parts of the omnichannel customer experience is having all your data in one place. 

With InMoment, you can utilize CX integrations to get insights from the systems your organization is already using. Once imported, you can create customizable dashboards to show you the most important data to your business.

Overview of channel performance for app reviews, call volume, and post-purchase issues.

3. Personalize Interactions

Leverage data and technology to deliver personalized experiences to your customers. Use customer data to segment your audience and tailor your marketing messages, product recommendations, and promotions to individual preferences and behaviors. Personalization can help deepen customer engagement and drive conversions.

4. Offer Seamless Transitions 

Enable customers to transition seamlessly between channels without losing context or experiencing disruptions. For example, allow customers to start an interaction on one channel (e.g., browsing products online) and continue it on another (e.g., completing the purchase in-store) without having to repeat information or restart the process.

5. Measure and Optimize 

Continuously monitor key customer experience metrics, such as customer satisfaction, conversion rates, and revenue per channel, to assess the effectiveness of your omnichannel strategy. Use data analytics and A/B testing to identify areas for improvement and optimize the customer experience across all channels.

Build an Omnichannel Customer Experience with InMoment

Ready to take your customer experience to the next level? Utilize InMoment’s customer experience platform to build a seamless omnichannel experience that delights your customers across all touchpoints. With our advanced technology solutions and expert guidance, you can integrate channels, personalize interactions, and optimize the customer journey to drive satisfaction and loyalty. Schedule a demo today!

References 

Omnisend. What we can learn from omnichannel statistics for 2022. (https://www.omnisend.com/blog/omnichannel-statistics/). Accessed 10/4/2024. 

Khoros. Must-know customer service statistics of 2024. (https://khoros.com/blog/must-know-customer-service-statistics). Accessed 10/4/2024. 

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). Accessed 10/4/2024.

InMoment Advanced AI: Supercharging CX

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.

The Customer Success Analyst has evolved to be the go-to person for all the data – or as Marketo put it in their Linkedin job ad, “the primary deliverable of the Customer Success Decision Analyst is to convert our Customer Success operation at Marketo into a highly data-driven business where we can measure, analyze and optimize every aspect of our engagement with our customers.”

This includes data like:

  • Feature usage patterns
  • Maturity scores
  • NPS results
  • Voice of customer qualitative feedback
  • Customer journey mapping
  • Customer experience metrics
  • Capacity models

Among all of the hats that CSM’s wear, the number-crunching, data-heavy, quantitative analyst hat is one of the most time-consuming. But because of the data-savviness this role demands, CS analysts also hold the keys to unlocking incredible potential when your business is scaling up.

The CS analyst role isn’t *just* about collecting data for dashboards and reports (and basing recommendations on that data) though. It complements the Success Operations role, which builds new tools and processes to scale CSM’s everyday activities. As the person navigating multiple platforms for data on a day-to-day business, CS Analysts know how information flows and who needs what information.

For one of Wootric’s customers, Chorus.ai, CS Analysts also take ownership of the technical onboarding process for new or upgrading customers, ensuring “a smooth implementation, including initial and ongoing training for customers.”

It’s a prime position from which to watch for opportunities to make big impacts on the success of customers – and the success of the company. That’s the subtextual expectation: By being in charge of the data, the CS Analyst knows how to use it to find untapped value.

What does a CS Analyst need to know?

Experience working with large amounts of data (SQL, Python or R) and with survey and analysis tools (Wootric, Tableau, etc.) are must-haves, but the most important qualification is having taken that data and used it to produce actionable insights.

Analysts are data story-tellers. They work with the numbers and provide context for them, creating reports to recommend strategic options and solutions. A listing for a CS Analyst position at Salesforce described one of the responsibilities as “assist in developing and delivering presentations for senior executives”, which requires strong public speaking and presentation skills.

If a company struggles with data silos, CS Analysts must bridge the gap between teams. Not only must analysts overcome the technical issues of compatibility, but they need to possess strong internal communication skills to overcome any organizational walls that may be contributing to the data isolation.

While CS Analysts own the quantitative facet of Success, a customer-centric mindset and empathy for the humans behind the numbers distinguish a great analyst from a good one. These soft skills help analysts frame their analysis to produce long-term, customer-centric solutions that support CSMs to retain customers.

What does this role look like in real life?

For some companies, the CS Analyst position can be a foot-in-the-door to Customer Success.

Anthony Enrico, VP of Customer Success at Emailage, created the Analyst position because his “CSMs were being asked to spend enormous amounts of time compiling reports and the opportunity cost of spending time deepening relationships and loyalty with customers was too great.” As a leader within the organization, Anthony was also doing a lot of work with these reports, when his time was clearly better spent working on strategy, escalations with his CSMs, and focusing on new business opportunities with the company.

So Anthony hired Bryan Mehrmann, now a CSM at Emailage. Bryan was originally brought on as the first CS Analyst to support the CSM team. Bryan compiled and sent out daily reports on customer usage trends to identify and correct anomalies as early as possible. He took detailed revenue projection reports and distilled them for the C-suite for their weekly use. Bryan took on more responsibilities as time went on.

Working together, Anthony and Bryan shaped the role as it is today. As for how the position fits into the CS team, Analysts can be promoted to full CSMs after they’ve achieved a comprehensive understanding of the product, metric drivers, and relationships with Emailage’s customers.

On the other hand, CSMs may choose to specialize in VoC data analysis like Customer Success Analyst Tim Dressel at Qualer. For him, there’s the usual collection and analysis of customer data in spreadsheets, but also a lot of room for innovation and collaboration. If he sees a red flag in the metrics, he leads investigations into those customer issues, working with his cross-functional team (and collaborating, at times, with Qualer’s Head of Technology) to make sure customers’ needs make it into the software they develop.

How do you know if you need a Customer Success Analyst on your team?

Customer Success Managers are often being pulled in five different directions at once, and when that happens, they sacrifice time on one task for another. Not only does Customer Success provides data and insight crucial to their own day-to-day, but they are the go-to team for reports for the C-suite.

Customer Success needs data. Data is at its core. So if your Customer Success team doesn’t have time to live and breathe data, you may be at the tipping point to bring in an analyst who can parse the numbers for you. This is especially important for scaling processes when anecdotal experiences have to give way to metrics.

For some companies, bringing on an Analyst to Customer Success may happen by incorporating a company-wide business analyst into the team and transitioning them into a full-time Success Analyst. Depending on the company, Customer Success may not need an Analyst until their team is four or five CSMs.

The most common theme among companies looking to hire a CS Analyst is major growth.

For example, a Wootric customer that recently started trading publicly, DocuSign, decided to add the Customer Success Analyst position as they accelerated their growth.

Analysts (& their data) are a CSM’s best friend

For Customer Success, the best way to prove value, whether it’s to senior management or to a customer, is with numbers and context. Having a role dedicated to creating robust reports to highlight value and propose inventive, data-backed solutions is an excellent way to help your current CSMs be the best that they can be at scale.

Automatically send customer feedback to Salesforce, Gainsight and Slack for quick action. Learn about InMoment’s integrations.

Shot of a group of young business people having a brainstorming session in a modern office

“Our conclusion: superior CX drives superior revenue growth.”
Harley Manning, Forrester

“Customers who had the best past experiences spend 140% more compared to those who had the poorest past experiences”
Peter Kriss, Harvard Business Review

There is a lot of chatter happening in business circles about customer experience (CX) as a growth engine. It’s almost intuitive – you and I both understand how having a great experience affects us as customers. We all have businesses we love, products we’ll follow to the ends of the earth (in hopes they’ll finally go on sale), and websites we follow with almost religious fervor.

As CMO, VP of Success, or Head of Customer Support, you are constantly advocating for customer experience within your company. After all, from the very first moment the second blacksmith’s shop appeared in the village, creating competition for the first blacksmith’s shop, customer experience has been a deciding vote for who gets the business – just as much as price and quality. But as a business owner, or a professional marketer, you can’t afford to go with your gut. To win resources you need data to back up your argument that CX is the future (you know it is).

There is a correlation between CX and revenue growth, and we’ve compiled the research to back it up.

Why the effects of CX have been tricky to track

Customer experience has been treated as a ‘soft’ discipline, and I have a theory as to why. 

We’ve grown up with it. Whether watching Santa send Macy’s store shoppers to competitors in Miracle on 34th Street, or walking into Nordstrom’s shoe department to be followed around by suited young men carrying piles of boxes to the nearest padded chair. We recognize great CX when we experience it ourselves.

However, it’s inherently subjective. Subjective issues – anything based on opinion or emotion – tend to be hard to track. One person’s “helpful” is another person’s “pushy.” Your “attentive,” might be my “stalker.”

Modern tools now quantify CX

But online buyers’ journeys are different than the sales experiences most of us grew up with. With modern tracking and customer surveys, you can tell (often in real-time) whether your efforts are coming off as too much, or too little. You can identify problems and preferences, which allows you to fine tune the end experience for your target customer.

Most importantly, for the first time in human history, we have the tools to track the actual, absolute effect that positive customer experience has on a business’s bottom line. This is transforming the discipline of customer service into the science of CX.

The science of CX starts with measurement. Read the article, A Primer on the 3 Most Important CX Metrics – NPS, CSAT and CES, and start measuring CX today.

It’s no longer just “the right thing to do,” it’s an engine for measurable growth.

“CX is no longer just a discipline; it is the basic ingredient for growth”
Winning on the Battleground of CX, Forrester

Data that ties CX to Revenue

Transaction-based v. Subscription-based CX

“What we found: not only is it possible to quantify the impact of customer experience – but the effects are huge.” – “The Value of Customer Experience, Quantified,” Harvard Business Review

Harvard Business Review looked at the revenue data from two global $1B+ businesses – one was a transaction-based business, the other was a relationship-based subscription business.

We looked at two companies with different revenue models — one transactional, the other subscription-based — using two common elements that are relevant to all industries: customer feedback, and future spending by individual customers. To see the effect of experience on future spending, we looked at experience data from individual customers at a point in time, and then looked at those individual customers’ spending behaviors over the subsequent year.”

Transactional business models rely on frequency of customer return and how much they spend per visit. Modcloth would be a good example – they want you to come back every day and buy (or at least Save to Wishlist), and come up with ingenious ways to incentivize that behavior.

Subscription-based businesses include Software-as-a-Service (SaaS), or even those recipe kits from Blue Apron. No matter what they’re selling, the model is the same. It relies on retention, cross-sells and upsells.

The results?

After controlling for other factors that drive repeat purchases…

  • Transaction-based: Customers with the best past experiences spend140% more than those with the poorest past experiences.
  • Subscription-based: Customers with the best past experiences have a 74% chance of remaining a member for at least another year; customers with the worst experiences have a 43% chance of being a member one year later. In fact, those who gave the highest CX scores were likely to remain members for another six years.

CX Effects Across Multiple Industries

On Harley Manning’s Blog at Forrester, Manning (Forrester VP and research director) discusses two studies, conducted one year apart, that compared five pairs of publicly traded companies “where one company in each of the pairs had a significantly higher score than the other in Forrester’s Customer Experience Index during the period 2010 to 2015.”

The Customer Experience Index measures each brand on a scale from “Very Poor” to “Excellent” in these six categories:

  • Effectiveness
  • Ease of use
  • Emotion
  • Retention
  • Enrichment
  • Advocacy

Then, Forrester looked at the businesses’ revenue data and built models to calculate the compound annual growth rates for each of the ten companies over those five years.

The results:

The publicly traded companies studied ran the gamut of industry types, from cable to retail to airlines. But in terms of the CX effect, industry didn’t seem to matter as much as the reported CX scores each company received.

In two industries, cable and retail, leaders outperformed laggards by 24 percentage and 26 percentage points, respectively. Even in the industry with the smallest spread, airlines, the CX leader enjoyed a healthy 5 percentage point advantage in global revenue. And when we compared the total growth rate of all CX leaders to that of all CX laggards we saw that the leaders collectively had a 14 percentage point advantage.” – Harley Manning, Forrester

Unlike the Harvard Business Review’s study, Forrester did not control for outside influences that could have driven revenue growth. But, they did conclusively determine that “customers who have a better experience with a company say they’re less likely to stop doing business with the company and more likely to recommend it.” They also observed that companies with superior CX saw increased growth in customers.

And, as Harley Manning points out, “Both of those factors should drive increased growth in customers and, in turn, increased growth of customer revenue.”

Essentially, as CX rises, so does revenue growth.

But there’s another interesting correlation that Forrester’s Customer Experience Index research uncovered. The top performing brands, including USAA, Barnes & Noble, Etsy, QVC and Zappos.com, “achieved a 17% compound average growth between 2010 and 2015 – which is no small feat with many of them already in the top revenue percentiles in their respective industries.” (Salemove.com)

Compared with the brands at the bottom, who only saw a compound average growth of 3%, that is a very wide gap.

To put a possible dollar amount on this, consider: “a one-point score improvement in the CX Index can lead to an increase of $65 million in revenue in the upscale hotel industry,” according to Forrester’s Harley Manning.  

CX spending is on the rise

You may think companies still seem to feel more comfortable spending money on things that do not have a direct impact on customer experience, or that Support and Customer Success teams can still be the last area to receive investment. Think again. Per Forrester research, 71% of business and technology decision-makers reported that improving CX will be a high priority for spending in the next year.

Ready to join the CX revolution?

Now with modern survey platforms, companies of all sizes can measure and improve customer experience at scale.  Forrester’s CX Index measured six attributes of experience and probably took months to collect, analyze and report. However, a lightweight approach to CX improvement using metrics such as Net Promoter Score (NPS) can get you 90% of the way there and not break the bank. 

The key is to start small. Determine your “north star” metric. Get customer feedback, take action, repeat.  Consistently repeat this process. As your company’s customer experience improves, so will your bottomline. 

Start measuring Net Promoter Score for free with InMoment

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