Calling Customer Support vs Cleaning a Toilet

Shep Hyken, a well-known customer service consultant, recently shared that 42% of people would rather clean a toilet than call customer support. This statistic actually didn’t surprise me given how often support experiences leave much to be desired. 

This got me thinking: Why is that the case when none of us would claim to enjoy cleaning a toilet!? And I decided that the reluctance to call customer support came down to three factors: 

  • Control 
  • Time to task completion 
  • And likelihood things are done right the first time

Let’s take a closer look at each of these factors—and how organizations can address them in their customer support initiatives!

3 Factors Impacting the Customer Support Experience

Factor #1: Control

Since I am the one cleaning the toilet, I have control over when and how the job is done and how well it is done. That is not often the case in the support experience. 

Yes, more companies and brands are trying to shift the customer service experience to a self-serve one, where the person needing support can find their own answers via the company’s internet site, user forums, or at worst a chat session. But let’s be honest, these moves are not being done to put the customer in control of the experience; they are being done to save the company money by shifting the experience to lower cost channels and reducing the labor costs in the call center. 

Unfortunately, because these self-serve support initiatives are motivated by a cost-savings lens and not a customer experience one, they are often not executed very well. People can’t find the answer they need online, or the answer doesn’t make sense or completely solve their problem. And chatbots are often effective at solving very simple queries, but not complex ones.

The other reality is that consumers want to interact with a live person. According to CDP.com, 64% of consumers say access to live people would significantly improve customer experience. So while shifting the support burden to the consumer or low-cost (non-human) channels may save the company money, it is not engendering customer loyalty when that is not how the consumer wants to interact with your company.

Factor #2: Time to Completion

As mentioned, no one enjoys cleaning a toilet, but if we are honest, it takes no more than a couple minutes, less than 10 for even the dirtiest of them. But how many customer-support experiences take only a few minutes? 

It often takes you at least a few minutes to get through the automated phone tree, only to be told your hold time is much longer than a few minutes! While some brands are now using automated callbacks  that adds some convenience in that you don’t have to actually wait on hold (ironically being told how important your call is over and over and over again), how likely is it that you get a call back when it is convenient for you? It’s more likely that you have moved on to other tasks only to be interrupted by that call.

Factor #3: Getting Things Done Right the First Time

Finally, we arrive at the last factor: first-call resolution (as call center leaders call it). I want you to think back to your last few call center interactions: What percentage of the time is your issue really resolved on the first call, with no transfers and no additional hold time? 

Too often the first agent you speak with is either brand new and not trained properly, or the company’s knowledge base does not provide them quick access to the answer to your issue, or they are not empowered to resolve your issue without “supervisor approval” or a transfer to a manager.

There are several problems with how most companies measure first call resolution:

  1. It is not measuring total effort to resolution. Most likely, you have already searched the website or FAQs or user forums and possibly tried the chatbot before getting to a live agent. So it is measuring the call, but not measuring customer time and effort.
  2. If it is measured based on agent data entry, it is not measuring consumer confidence that the issue was resolved and it is making that judgment likely well before the customer has experienced the solution and feels confident it is resolved.
  3. If it is measured based on survey responses, it is not representative of the total customer base, but only those customers who completed the follow-up survey, a small percentage of the customers who contacted customer support.

My colleagues at InMoment often hear me say “every call to the call center is a broken customer experience somewhere upstream.” Given that, your call center is your safety net and last chance to “save” the customer and ensure a continued relationship and extended lifetime value. 

Yet, too many companies see their call center as only a cost and something that can be managed or minimized by reducing headcount and shifting to lower cost channels. This is a financially driven, inside-out view of customer support and not an outside-in, customer-centric approach. 

If companies truly want to reduce the cost associated with customer support, learn from these calls and fix the upstream issues that are creating the need for the calls in the first place. 

Fewer issues, fewer calls, happier customers, better financial outcomes.

Two people and a dog inside of a business showing customer loyalty.

Many companies underestimate the value of customer trust and loyalty when it comes to driving higher revenue growth. It might sound counterintuitive, but convincing existing customers to return is more important than gaining new ones. This is because the cost of finding new customers is far higher than the cost of selling to existing customers. In fact, returning customers spend 67% more than first-time buyers.

It’s clear that executives need to put customer loyalty at the center of their company’s values, but how do you actually go about doing building customer trust and loyalty? Let’s jump right in!

3 Ways to Build Customer Trust and Customer Loyalty

  1. Create Personalized Experiences to Build Trust
  2. Go the Extra Mile to Listen and Understand
  3. Quality, Quality, Quality

Action #1: Create Personalized Experiences to Build Trust

Throughout the customer journey, your brand should meet customers where they are. The more personal you make the customer experience, the more trust you’ll cultivate. 

For instance, in the pre-purchase stage, in-store employees should have substantial knowledge about products and understand what customers need. Employees should be trained to create positive interactions from the beginning all the way up to the final moment of purchase. Asking small questions like if a customer found everything they needed—and stepping in if they didn’t—can make a huge impact. Little actions like that help add a nice personal touch to a customer’s experience—and lead to a stronger level of trust!

Action #2: Go the Extra Mile to Listen and Understand 

Trust often leads to loyalty, but your brand has to make the first move. To cement a longstanding relationship of trust, your business needs to show loyalty to customers first. 

An effective approach here would be to engage with and respond to customers, because engaged customers are more likely to promote your company than unengaged customers. Actively responding to customer questions, comments, and complaints can grow loyalty by putting a human voice to a brand. 

One best practice for engaging with customers in this way is to design an open communication and feedback channel. Of course, we recommend utilizing not just a help center as a method to reach out, but any adequate resource, from employees on the front line to digital surveys. Additionally, you should look to other indirect forms of feedback to understand your customers such as review site data and social media mentions.

Action #3:  Quality, Quality, Quality

At the end of the day, even if their customer experience was amazing, if the product doesn’t meet a customer’s expectations, all that work you did to build trust and loyalty is in vain. Customers expect value for what they pay for and no amount of sales gimmicks can hide the truth of your product, so it’s key to know customers’ expectations and develop your product/service to meet or exceed that. After all, loyal customers are coming back for a quality purchase; the positive customer experience is an additional element encouraging that return. 

Your customer experience platform is essential to identifying friction points and remedying them to improve customer trust and customer loyalty. We discussed in the section above how it’s important to keep tabs on what your customers are saying about their experience. Once you’ve collected all this feedback data across every channel, you can leverage your customer experience (CX) platform to analyze all that customer feedback and identify the areas in your business that need some attention. Check out this video below to learn how global banking giant, Virgin Money, worked with InMoment to understand the most impactful moments in the customer journey.

Now that you’ve learned how to build customer trust and loyalty, read our eBook to learn about how that trust and loyalty can drive cross-sell and upsell opportunities!

Simple Random Sampling

If you are an organization with thousands of customers, surveying your entire customer base can seem like a daunting task. The likelihood of all of your customers (whether they number in the thousands or in the hundreds) answering a survey is slim to none. But, customer feedback is critical to driving Experience Improvement and growing your CX program. So, with such slim odds, how are you supposed to trust the customer feedback you do get? 

Simple random sampling is the perfect solution to this problem. Sampling methods such as simple random sampling allow businesses to get the data they need to make decisions without having to go through any unnecessary work. The goal of using simple random sampling is to get a small group that is unbiased representative of a larger population.

What is Simple Random Sampling and Why Is It Important?

A simple random sample is a selection of participants from a population. What makes this sampling method different is that each participant has an equal probability of being selected.   

Simple random sampling is important for many reasons. First, the subgroups from your population will be unbiased. Since they were chosen at random, they do not have any predisposed bias as participants, and they do not suffer from researcher bias. 

It is also important because these unbiased groups allow businesses to get data that is reflective of the entire population, without actually having to survey the entire population. 

What Are the Advantages and Disadvantages of Simple Random Sampling?

Many businesses prefer simple random sampling for its simplicity and lack of bias. It is also the easiest form of sampling. You don’t need to be a data analyst in order to perform this sampling method; and the data you receive can be applied to the whole population. 

The biggest disadvantage to be aware of is researcher bias. Researcher bias occurs when the researcher conducting the sampling selects participants to be in a subgroup based on their personal biases. This can be easily avoided by including multiple forms of random selection in your sampling. 

How Do You Perform Simple Random Sampling?

Simple random sampling is the perfect tool for a company looking to get an idea of how its entire customer base feels about a certain subject. Let’s say that you work for a nationwide retailer, and are interested in finding out how your loyalty members feel about a new selection of loyalty perks that you are considering to develop. 

You could go into the database that has a list of all of your loyalty members or, in this case, the list of your population. After assigning each member a number, you could use a random number generator to randomly select the number of participants you have chosen for your sample size. 

This subgroup of members, chosen at random, can now be surveyed. Their responses can be analyzed and can also be viewed as being representative of your entire member base. 

Sampling With InMoment

If you’re interested in understanding your customer base without having to survey each and every customer, then simple random sampling may be your answer. But understanding that data, what it means, and what to do with it moving forward can be difficult. 

InMoment, the leader in people-oriented text analytics, can help. Built on industry-recognized metrics and real-time intelligence, InMoment provides the tools and support you need to find hidden insights in your data. For more information on data gathering and analysis, visit our Learning Hub and look at how our data studios can be beneficial to your business. 

ROI Questions

Imagine if you were still operating your business in the same way you were in 2019. Total nightmare, right? Your customer experience (CX) program, like your business, needs to be able to grow and evolve to prove a return on investment. If you’re like the majority of CX practitioners (CX Network’s “Global State of CX” report shows that it is the second highest concern for CX practitioners), you likely have quite a few ROI questions.

In our over two decades of experience helping the world’s best brands positively impact their bottom line with Experience Improvement, we’ve heard quite a few of these ROI questions, and have determined the strategies at the heart of a profitable program. In order to achieve true ROI, you need to take an integrated approach to experience by breaking down data silos and creating one ecosystem of data. 

All of your customer data needs to exist in one place, where it can be accessed from anywhere in the organization, meaning that the game changing insights you need to acquire new customers, keep the old ones, expand customer lifetime value, and cut inefficient or costly processes are all in one place.

InMoment recently held a webinar with representatives from Forrester, an independent market research firm, to give you the answers you need about your top CX ROI questions. InMoment’s Principal CX Strategist Jim Katzman and Forrester’s Senior Analyst Judy Weader discuss showing the value of your CX program, designing digital experiences that make your business stand out, and setting your brand up for success. Let’s dive in! 

Your Top 3 ROI Questions

ROI Question #1: Why Is Showing the Value of Customer Experience So Difficult?

Showing the value of your CX program can be a daunting task. How are you supposed to link improving experiences back to financial gain? Well, the truth is, most CX professionals don’t know the right mechanics they need to perform in order to show ROI through their CX program. 

In order to showcase the ROI of your CX program, there are going to be calculations involved. But, don’t be intimidated by that. It isn’t as complicated as it may seem. 

Let’s take a look at a call center for an example. At every call center, there is an average cost per call. For the sake of simplicity, let’s say our call center has an average cost per call of $5. If this call center receives 100 calls per day about an identified pain point (let’s say it’s a confusing process), you would be able to take that customer feedback and turn it into an actionable insight which would clarify the process, thus relieving the pain point. 

By taking action, you may be able to turn 100 calls per day into 80 calls per day. 20 less calls per day at $5 average cost per call is a $100 of daily savings. Just like that, we have proved that having a CX program that creates actionable insights provides a return on investment to the organization. 

Showing the value of your CX program is easiest when you are able to turn actions into numbers. By making decisions based on customer data, are you increasing revenue? Decreasing costs?

ROI Question #2: How Are Business Designing Digital Experiences That Make a Difference?

When developing a digital product or service, it’s important to think about the context that your offering will be used in. Think of your favorite airline, or an airline that has developed a “good” mobile application. The reason these apps succeed are because they were designed with the knowledge that when you check-in for a flight, you aren’t going to haul out your computer. These airlines knew it would be easier and more convenient for their customers to be able to check-in for a flight when they were on the go. 

When you develop your products and services around your end customer, you’ll be able to create digital experiences that enrich peoples’ lives and generate more adoption, engagement, and advocacy.  

When designing and developing your products, you also need to remember to design for accessibility. If you aren’t thinking about accessibility in your products, you are missing out on a huge opportunity. There are over a billion people in the world that are disabled. Whether it be different font sizes, text-to-speech options, or modified touchscreen shortcuts, designing for accessibility is something that needs to be done throughout the design process. It is not something that can be bolted on after the launch date. 

ROI Question #3: What Three Things I Can Do to Set My CX Program Up for Success?

  • Have a Good CX Vision

The optimal CX vision for your organization should be derived from your brand vision. Your brand vision should answer the question “What do I want my brand to be for the market?” Consequently, your CX vision should answer the question “What do I want my CX program to be for my customers in order to support my brand vision?” 

  • Build Out a CX Strategy

Developing a CX strategy can seem like a long, intimidating process. But, it is important to remember that the goal of your CX strategy is to bring your CX vision to life. If we take one more step back, your CX vision should reflect your brand vision. So, at its core, your CX strategy should align with your business goals in order to bring that brand vision to life. Using your business goals as a base, you will be able to develop an effective, focused CX strategy. Your motto should be to “design with the end in mind.

  • Align Your Priorities

You want to make decisions that are grounded in customer understanding and current business initiatives. When thinking about which initiatives to go after first, take a moment to think. What matters most to the business? What are the goals that your business is trying to achieve now versus what they hope to achieve later? By prioritizing your CX initiatives with your business goals, you will create an effective CX program. 

Moving Forward

As you look forward and adopt these principles into your own ROI strategy, don’t stress about being perfect. CX programs are ongoing, ever-changing, and constantly evolving assets to your business. There is no set “right” way to utilize your CX program. 

Our recommendation? Start with a quick win—a straightforward project you can measure the success of. 

An ROI Example from an InMoment Client

A few years ago, one of our clients, a national chain restaurant, was looking for a new way to get in touch with their customers. They already had an internal assessment system that was used as a comprehensive assessment of performance in front- and back-of-house operations and policies related to Food Safety, company standards, and guest experience (e.g., quality, order accuracy, speed of service, staff friendliness, cleanliness, and team engagement). 

With more than 13,000 of these assessments completed each year, the results helped drive continuous improvement in quality, operations, and brand standards—but they lacked a view into the guest perspective. 

This company chose InMoment as its CX optimization partner based on its ability to interface audit data with CX data. By bringing audit and guest feedback data together, InMoment’s prescriptive analytics automatically generated two improvement priorities for each location. The integration model takes into consideration both guest experience and audit score, and creates priorities tied to the greatest return on investment: where this organization should put more time, energy, and effort. 

After implementing these data-driven improvements using the InMoment and internal audit correlated system, the organization’s restaurants saw a significant increase in all key metrics in just eight months:

  • 34% in OSAT
  • 33% in Friendliness
  • 22% in Product Quality
  • 22% in Cleanliness and Facility 
  • 19% in Speed of Service
  • 12% in “Make it Right” (if an order had a mistake, was it corrected?)
  • 3% in Order Accuracy 

By focusing on just two improvement priorities at each location, this organization was able to completely transform its relationship with its customers. Starting with small, measurable initiatives is a great way to kickstart your CX program. These small initiatives might even have results that expand further across the organization than you would expect. 

If you want to learn more about extracting ROI from your CX program, watch the full webinar here! 

What is CX design?

If you’ve ever heard the terms “CX” or “customer experience” before, you probably know that they and similar phrases refer to organizations’ attempts to scour every interaction for feedback and insights. You might also know that customer experience is generally considered to be a more specific subset of user experience (UX). But how do those organizations design CX programs? What goes into deciding which interactions to scrutinize, the goals formed around that work, and so much more? If you’re curious about CX design and how organizations wield it, you’ve come to the right place!

Today’s discussion breaks down the wider universe of CX design, but we’re also going to talk about the best ways for organizations to leverage this discipline. Many brands consider merely “managing” experiences to be the finish line of CX design, but there’s a lot more that organizations can accomplish, including genuine Experience Improvement (XI). Let’s get into it!

What Is CX Design?

The idea of CX design was relatively simple for many years. Basically, when an organization’s leadership decided to engage in customer experience design, they would deploy surveys (sometimes physically) for customers to fill out and hand back. We’ve all seen the little surveys that sometimes pop up after buying a sandwich, getting a car serviced, visiting a retailer, and the like. For a long time, this was considered cutting-edge CX technology and a valuable means of soliciting feedback. Other methods, like mystery shopping, were often used as well.

However, as technology has grown more sophisticated, so too has our understanding of not just how to manage customer experience, but how to improve it. Our understanding of what customers truly seek in experiences has broadened as well, and so the job of a CX designer (and the role of CX strategy in general) became more about understanding customers’ minds, not just getting their feedback. It became about optimizing journey touchpoints to delight customers and nurture relationships!

Unfortunately, even though technology and new learnings have made CX design so much more powerful than in years past, many organizations seem content to use it to gather numbers and react to problems only as they arise. This principle is reflected in how these companies’ programs are designed; CX teams don’t deploy to fix a problem until it’s been submitted by a customer, and discussions on program progress are centered around how today’s metrics compare to yesterday’s.

The issue with this sort of CX design is that while it can give you a superficial temperature reading of how customers like your brand… that’s about all you’re getting from it. Organizations that take this tack with their CX design miss opportunities to, yes, fix glaring flaws, but also meaningfully improve experiences and get to know their customers on a more human level. That is where the true power of CX design comes into play, and the brands that wield it are, more often than not, at the top of their vertical because of it.

What Does the CX Design Process Look Like?

If CX design can really help organizations achieve such dramatic transformations and high goals, what’s the first step toward actually doing that? 

As we mentioned earlier, many brands start their CX design process by looking at a handful of channels their customers might use to communicate (contact centers, social media, etc.) and deciding to pay more attention to those channels. However, while going about CX design this way might net you a few insights here and there, it’s actually much more effective to design with the end in mind.

In other words, before you even turn any of your listening posts on, take some time to consider which goals you actually want to achieve with your CX program. The sky’s the limit, too! Don’t be afraid to stake out some truly ambitious goals in your design. Experience programs can be used to achieve some pretty amazing things.

What those things are depends on what your business needs. For example, if your customers are churning a lot more than you’d like, you can build your CX design around better customer retention. Or, perhaps you’d like to use your experience program to improve workplace culture or get a better sense of what’s going on in the marketplace around your organization.

Whatever your Experience Improvement goal is, just having that as a guiding ethos will make a world of difference for your CX design. However, while your goal should be aspirational, it also needs to be quantifiable—to revisit the churn example, make sure that you tie a specific percentage or number to your goal. That will further define the finish line you want your CX program to help you cross, and it will also make your initiative’s value more tangible and therefore more visible!

Why Is CX Design Important?

Once organizations establish the goal(s) they want to achieve with their CX design and attach some sort of target number to it, it’s time to take the next step and consider which CX tools to use. This is another reason why setting a goal before doing anything else is so helpful, because it helps you determine not just which tools and channels to focus on, but also which groups of customers.

For example, if you see a chance to improve new customer acquisition, it doesn’t make sense to deploy tools geared for that goal toward all of your customer segments. Rather, you can free yourself and your CX design to focus all your efforts towards new customers. And if you have the bandwidth for additional CX goals, you can deploy your remaining tools where they most make sense. This more deliberate and thoughtful approach to design goes a long way toward achieving those goals!

This approach will also help you find and listen to the channels most relevant to your CX goals. To revisit the customer acquisition example, a CX team that sets that goal might research the areas where new customers most talk about your brand, then set up surveys and other listening tools there to capture that customer intelligence at its most organic. The team will have honed in on the channel most relevant to its goals and successfully filtered out noise from customer segments that are less relevant to those goals.

You don’t have to be a CX expert to know that brands and organizations love data. In fact, some companies love data so much that they gather it just for the sake of having it! Having data is certainly important, of course, but much like the CX metrics we talked about earlier, just having it won’t create Experience Improvement for your customers. The only way to do that is to actually take that data and mine it for valuable insights.

Data hygiene is yet another area that conventional CX design struggles with. A lot of programs are designed to gather lots of data very efficiently, but that creates a whole new challenge for the people running that program—namely, how much time does it take to sift through a mountain of data? What insights should CX teams look for and which ones should they disregard? And how can those teams make progress finding insights when their program is gathering data from every corner at every moment?

This is yet another reason why a deliberate, more targeted approach to CX design is the way to go. If you build your CX programs around very specific goals, the data you gather will be much more specific as well. Your data mountain will be smaller and more manageable, and your CX team won’t have to go near as far to find the insights most helpful to their goals.

One final note about data is that it doesn’t have to come from the CX team alone. Pulling other employees and groups into your CX design process can help you get a complete, 360-degree picture of your customer, further cementing both your goals and your future success. Including others also lets them know that, no matter how far away their job may be from the front lines, their work still matters and is relevant to creating a great experience for customers.

Realizing Experience Improvement Through CX Design

This is the hardest part of customer experience design, but it’s also what the process that we’ve been talking about is designed to simplify for you, your CX team, and your entire brand. You’ve used this CX design process to learn what you need to change to create Experience Improvement for your customers; now it’s time to reach out to the right teams and work together to actually make those alignments.

Once you do, continue to track and quantify those changes. Quantifiable goals are like receipts for a CX program; they give you something to prove its worth when you go back to the board for additional funding (as a quick aside, if you hear any positive customer stories that come about as a result of your changes, save those too! Execs love them). Some changes take a while to blossom, but they’ll be worth the wait once they come through.

Ultimately, what is the point of great CX design? A stronger bottom line for your brand? Yes. Eliminating problems with your journey touchpoints? Absolutely! But there’s an even more ambitious goal that comes about as a result of great CX design, and that’s true Experience Improvement. In this context, Experience Improvement doesn’t just refer to individual interactions better and fixing journey touchpoints (though those are certainly important). It means aligning brand and CX design to achieve seamless experiences. It means understanding who your customers are on a deeply fundamental, human level.

Once organizations achieve that close-up understanding of their customers and thus a close bond with them, there’s almost nothing that can break that relationship. Customers who feel understood as human beings, not just clients, won’t ditch you for a competitor. They’ll evangelize your brand to anyone who will listen. And it’ll all be thanks to your stellar CX design and the Experience Improvement opportunities it created!

We hope that this conversation has given you more insights into what CX design is and how fundamentally it can transform your experiences and brand ecosystem. If you want to learn more about how Experience Improvement can help your organization, feel free to download this e-book!

We’re always up for chatting about all things experience, and our mission is to help you own the moments that matter.

Cluster Analysis

Math and numbers are the ultimate in ‘exact science.’ When we work within the confines of mathematics, we can expect absolute precision in our results. In data analysis terms, this can be a real advantage, giving us clear, definite numbers on which to base future decisions. Unfortunately, sometimes the real world being represented by the data is anything but exact. And when it comes to grouping objects based on a somewhat nebulous idea of similarity, traditional statistical tools may fall short. 

Cluster analysis is an answer to this problem. With cluster analysis, data analysts can construct data groups (or clusters) based on a range of similarities and differences. The end goal is to distinguish data points in such a way that those within a group are as similar as possible and completely distinct from the data points belonging to separate groups.

Here, we take a closer look at cluster analysis, how to perform one, how to interpret the data, and what potential disadvantages you should be aware of before you get started. But first, let’s define the term itself.

What Is Cluster Analysis?

At its most basic, cluster analysis is a statistical methodology designed to allow analysts to process data by organizing individual objects into groups defined by their similarity or association. Also called segmentation analysis or taxonomy analysis, cluster analysis exists to help identify homogenous groups with a range of items when the grouping is not already known or defined. In other words, cluster analysis is exploratory; data scientists who apply cluster analysis don’t begin with any predefined classes or expectations.

Instead, cluster analysis takes a collection of data items and attempts to organize them based on how closely associated each one is with the others. Visually, this is often represented using a multi-axis graph to more accurately identify which data points are similar and which are not.

One common example of clustering is the arrangement of items within a grocery store—products are classified and grouped based on how similar they are in purpose.

Cluster analysis is an essential aspect of modern artificial intelligence (AI) and data mining, and businesses often rely on clustering to segment customer populations into different marketing or user groups. Cluster analysis may be used in a range of business and non-business applications.

Steps for Making a Cluster Analysis

There are nearly as many ways to cluster data points as there are groups to segment them into. As such, there is no single process that represents the standard mechanism of cluster analysis. The following process, however, is a reliable set of steps you can use when clustering data:

1. Confirm the Metricality of the Data

For effective clustering, your data needs to have actual numerical values. This is because you will need to define the ‘distance’ between data points. So even if you are working with non-metric data (such as people’s names), you still need to define the similarities in a numerical way (such as by saying that individuals with the same name have a distance defined as 0 and those with different names have a distance defined as 1). 

2. Select Variables

Selecting the right variables is essential to producing relevant, usable cluster data. Perform exploratory research beforehand so that you have a clear idea of which variables to use. 

3. Define Similarities

As with selecting your variables, choosing and defining similarity measures to chart the ‘distances’ between your observations is key to producing a usable cluster analysis. You can define similarities in hundreds of different ways, so be aware of your options as you work with your data. 

4. Visualize Pairwise Distances

With the correct variables in place and your similarities fully defined, you can now begin to visualize your cluster analysis data. You can plot individual attributes as well as the pairwise distances on a histogram chart, with your classes represented as columns on the horizontal axis. Peaks within those columns may represent potential segments.

5. Choose a Method and Number of Segments

Again, there are many different methods one may use to cluster data. You may wish to try a variety of approaches until you find one that clearly represents actionable information in a clear and robust way. Cluster analysis is iterative, so be willing to work with the data until it starts to work for you.

6. Interpret the Segments

With your chosen method and number of segments, your next step is to get a clearer idea of the data points themselves and how they relate to one another. Make note of how the segments differ based on your variables. It can be extremely helpful to visualize these clusters using graphing techniques. 

7. Perform Ongoing Analysis 

With your core data visually represented and your individual data points more fully understood, the final step is to dig down deeper with increasingly robust cluster analysis. This may include subjecting your data to different subsets, distance metrics, segmentation attributes, segmentation methods, or numbers of clusters. By exploring multiple variations, you should be able to see how well your data holds up, how much overlap you have between your clusters, and how similar your segment profiles are across different approaches.

How to Interpret and Measure Clustering

Cluster analysis is based on the assumption that the lower the numerically-represented distance between items, the higher the similarity level—provided that you have a reasonable number of clusters to work with. You can use a silhouette coefficient score to calculate how healthy your clusters are by determining the average silhouette coefficient value of each of the objects in the data set. 

Measuring your clusters also heavily depends on the questions you ask regarding your initial data. Important cluster analysis questions include:

  • How will you measure the similarity between objects?
  • How will similarity variables be weighted?
  • Once similarities are established how will classes be formed?
  • How will clusters be defined?
  • What conclusions can you draw regarding the clusters’ statistical significance?

Advantages and Disadvantages of Cluster Analysis in Sampling

A key application of cluster analysis in cluster sampling. Cluster sampling divides an entire study population into externally homogeneous but internally heterogeneous groups, with each cluster acting as a miniature representation of the whole. The groups must be divided randomly, and then individual groups are randomly selected and every individual in that group is sampled. 

For example, cluster sampling allows researchers to study certain types of communities within the country without having to acquire subjects from hundreds or thousands of different locations. Instead, these communities are divided into similar groups and a random sample of communities is assessed. In this case, the randomly-selected subset represents the whole population. Another example might be an airline that chooses to survey all of the passengers on several randomly-selected flights every day to infer conclusions about their passengers as a whole population. 

Cluster analysis as a sampling methodology offers some clear advantages over more traditional random or stratified sampling. For one, cluster sampling tends to demand fewer resources and is more cost-effective. For another, cluster analysis may be more feasible while still providing a comprehensive view of an entire population. 

That said, there are also certain disadvantages that you should be aware of. Perhaps the biggest drawback is that cluster sampling is prone to higher error rates than many other sampling techniques; the results obtained are not always fully reflective of the population as a whole. Additionally, unconscious biases may seep into this sampling methodology creating biased inferences about the entire population.

Better Analysis with InMoment

If you’re interested in getting a clear picture of the similarities and differences across a data set, then cluster analysis may be the answer. But ensuring that your cluster data accurately represents your sample group and clearly expresses valuable information can be difficult. Understanding cluster analysis and cluster sampling methodologies and how best to interpret the resultant data will provide you with the insight you need to understand the associations between your objects. 

InMoment, the leader in people-oriented text analytics, can help. Built on industry-recognized metrics and real-time intelligence, InMoment provides the tools and support you need to find hidden insights in your data. For more information on data gathering and analysis, visit our Learning Hub.

EMEA Customer Experience Expert

After nine EMEA customer experience experts, 200+ delegates, eight workshops, and hours of fun and networking at the colourful evening reception, it’s safe to say the XI Forum Europe was a success! 

We heard from award-winning CX speakers from some of Europe’s biggest brands—TRUMPF, ASOS, Brakes, Primark, Solus, BD Medical, NatWest and Euro Car Parts, as well as thought-provoking keynotes from InMoment Global Leader, CMO Kristi Knight, and Stan Swinford, CEO and Founder of NPSx by Bain & Company. Hosted over two days, attendees learned practical tips and best practices they can implement immediately into their experience programmes to elevate their experience programmes.

If you missed out on the event, don’t worry—here are five key takeaways you can use to apply to your experience programme today! 

5 Pieces of Advice from Our EMEA Customer Experience Experts

#1: Managing Experiences Is Not Enough—The Future Is Experience Improvement

Customer experience started out in the golden age of advertising, market research, and understanding consumers. Then, the internet was born, and online surveys were created to collect customer feedback in a timely manner. Next, we started managing experiences, and we recognised that the total experience a customer has is a collection of moments and interactions along their journey. 

The idea of simply “managing” metrics tells your business where you are and where you’ve been, not necessarily where you’re going. The future of customer experience is moving past managing experiences, to actually improving them through Experience Improvement (XI). 

#2: Create a Culture of Customer-Centricity by Adopting a Customer-First Mindset

EMEA customer experience experts from Brakes, Solus, BD Medical, and NatWest all noted the importance of building an internal culture within your company to educate your employees on the importance of putting the customer first. Providing colleagues with valuable insight and giving them recognition leads to better employee experience and engagement, which in turn leads to a greater customer experience. Frontline employees need strategic communication.

Changing cultures and mindsets to be more people focused can be tricky in certain industries, however, it’s important to keep everyone in the business updated on your CX efforts so they can truly see the difference you are making in the wider business. Through a customer-first mindset, cross-functional collaboration and silos can be broken down. Customer experience doesn’t belong to one team, it’s an organisational initiative that needs an aligned vision.

#3: Actions Speak Louder Than Words—Data Means Nothing Without Outcomes

The importance of closing the loop with customers and gaining actionable feedback was mentioned in nearly every presentation we heard! Put simply, “closing the loop” means following up with each dissatisfied customer to try and mitigate their negative experience. 

A closed feedback loop is not only important to the business, but also your customers; to the customer, not only are you letting them know you are listening, but you are also building a better relationship with them. For the business, you are resolving real-time issues by taking immediate action and creating positive change. 

#4: Understand and Predict Your Customers’ Behaviour by Utilising the Right Data, in the Right Way

Primark, Euro Car Parts, and TRUMPF touched on the subject of knowing your customer beyond just a score. In an omnichannel world, this can become increasingly difficult. However, by pulling in data from everywhere—such as social reviews, survey feedback, or demographical data—into one place, you are able to gain a clear picture of who your customer really is and how they feel about their experience with your brand.

And with this clear picture comes actionability—you will clearly understand which stages of the journey need improvement. Journey mapping allows you to identify all the behaviours and feelings throughout the entire customer journey. Not only does this allow you to identify areas for improvement, but also understand what’s working well to make experiences become more seamless and consistent in every touchpoint.

#5: Enrich the Lives of Your Customers—Great CX Doesn’t Need to be Complicated

In the last keynote of the day, EMEA customer experience expert Stan Swinton of Bain & Company left us with insightful advice. He noted that in today’s world, the best companies are creating shareholder value, delighting customers, and energising employees through a strategy of enriching customer lives. 

Great experiences are memorable ones which create an impact. When someone has a memorable experience, they will want to share it with others, and it will also stick with them when it comes time to purchase again. 

Think about your value proposition and what you can offer. Is there anything different that makes you special in the lives of my customers? Get to know your customer, understand what they like, what they don’t like, their history and who they are buying for. This way, you can also anticipate their needs. Spend time with your customers and experience what they experience for yourself.  

Great customer experience doesn’t need to be complicated. Every aspect of your business should reflect the purpose of your organisation and what you are trying to accomplish and solve for your customers.

Price Increases

A great deal of customers and the brands that serve them are facing unprecedented uncertainties; understanding them is key to organizational success, delivering Experience Improvement (XI), and ensuring that your customer experience (CX) program is operating optimally. All of these obstacles affect both customers and brands to some extent. Because half the Experience Improvement process is knowing what these challenges are, today’s conversation addresses five of the most prominent ones that I’ve observed in my work as an experience program designer:

  1. Price Increases
  2. Efficiencies
  3. Off-Price/Discounts
  4. Shrinkflation
  5. Skimpflation

 Challenge #1: Price Increases

A plethora of international events, crises, and phenomena has produced steep inflation throughout much of the world, and no part of the supply chain has been spared these upticking costs. Brands have had to pay more to produce, transport, and store their wares, which means passing that cost burden onto their customers. I’m sure you can guess how that’s affecting customer experiences the world over.

Challenge #2: Efficiencies

This is another customer experience woe that affects both parties in CX interactions. Many companies have struggled to stay fully staffed amid the job market churn often called The Great Resignation, which translates directly to everything from longer customer wait times to reduced item availability. For brands, this has become an employee experience (EX) challenge that is formidable, but not insurmountable.

Challenge #3: Off-Price/Discounts

The events of the last few years (and their lingering effects) have resulted in a consumer demand collapse for many goods and services. This is an especially adverse problem for the brands that sell these goods, as they now have to offload them at a significant discount. For example, I discussed in a prior article how reduced demand for patio furniture left these goods gummed up in the supply chain. About a year on, a combination of sluggish demand and eventual delivery has resulted in a deluge of patio furniture that brands, frankly, have no room for. Steep discounts can benefit customers, of course, but on this scale they leave a brand’s bottom line weakened.

Challenge #4: Shrinkflation

You’ve probably seen this word plastered all over your local news recently; if not, it’s the media’s new favorite term for paying the same price for a good that is reduced in size or amount. Multiple brands have taken this approach to their customer experiences as a means of attempting to prevent cost increases, but as you can imagine, most customers aren’t thrilled that the same amount they paid yesterday yields less for them today.

Challenge #5: Skimpflation

This one is similar to both shrinkflation and the staffing woes I mentioned earlier. In essence, even when brands manage to keep employee churn low, they must still contend with the possibility that the service their retained employees provide has lost some of its quality. This results in an underwhelming customer experience much like the amount reductions discussed with shrinkflation. 

The Path Forward for Customers and Brands

It’s helpful to understand the territory your brand operates in, and these challenges constitute just that for many organizations in these strange times. However, there is more to the story: what are customers doing to cope with these and other challenges, and just as pertinently, what can brands do to respond in a meaningful way? How can they ensure that they’re displaying that empathy mentioned at the beginning of this discussion?

Click here to read my full-length point of view article on customer coping strategies and what your organization can do to address them. I’ve spent a great deal of time researching both of these CX elements over the last few years and am confident that those learnings can help you on your own Experience Improvement journey.

What is the Difference Between Voice of Customer and Market Research

A lot of folks believe that voice of customer (VoC) programs and market research mean the same thing—but they’re actually quite different! In fact, each discipline differs in purpose, design, analysis and outcomes.

However, even though they’re different, it’s important to point out that one isn’t necessarily better than the other—and brands need both if they want their customer experience (CX) programs to reach their potential.

So, with that in mind, let’s get into a quick primer!

Breaking Down the Difference Between Voice of Customer & Market Research

What Is the Definition of Voice of Customer (VoC)?

Voice of the Customer (VoC) is the process of gathering vital information regarding what customers think and feel about their experiences with a business.

How Does VoC Fit into Your CX Strategy

VoC programs are an essential part of any CX toolkit. They’re designed to fulfill many critical functions for your overall customer experience program, including, as their name implies, understanding customer needs. They’re also useful for understanding customer expectations, as well as what those individuals may want from you before even they know. This information can then be used to adjust operations, inform marketing efforts, and help your organization create both short- and long-term Experience Improvement (XI).

Not all VoC feedback comes from typical listening methods like surveys and focus groups, either. A lot of it comes from unsolicited feedback (website reviews, social media comments, etc). Unsolicited feedback is helpful because it gives customers a chance to express themselves entirely in their own terms, which may alert brands to problems and journey breakages that they weren’t aware of.

All of this boils down to the ability to not just capture individual and collective customer feedback, but act upon it. Taking action is crucial to Experience Improvement and building connective relationships.

What Is the Definition of Market Research?

Market research explores hidden relationships within industry data, collected by a market research firm, in order to predict and forecast future events and behavior within the market.

What Is the Role of Market Research in Your Business?

While Voice of Customer is all about feedback, market research takes a slightly wider lens by focusing on understanding the trends around your business.

Primary research is useful for testing new communications and services that your company wants to put out there, while secondary research looks at the dynamics and sizing of the marketplace around you. Conducting these types of research can help your company identify your target market, segment your customers, and identify growth opportunities.

Your company can supercharge its market research efforts by defining the population you want to target with a survey, then creating samples that ensure you’ll have a match. We’ve found that surveys like these are most effective when they’re blind, meaning that the customer or individual stays anonymous while taking them, and challenge you to do the same! This method is great for reducing response bias.

The Difference between Voice of Customer (VoC) and Market Research
This handy chart breaks down the differences between these two methods

So, Why Do You Need Both?

VoC and market research aren’t the same, but your CX program and your organization need both in order to truly understand your customers as people. That fundamental, holistic understanding fuels unforgettable experiences that build loyalty while also creating additional revenue! So be bold in your strategy and use both VoC and market research. Your customers will feel heard, your C-suite will be impressed, and the experiences you provide will be meaningfully transformed.

Click here to read our full-length white paper on why your brand needs both VoC and market research. Our very own Eric Smuda has spent decades in both fields and provides an in-depth look not just at why these disciplines are important, but how your organization can wield them effectively.

4 Strategies for Staff Motivation

Anytime you enter a retail store or dine at a restaurant, we bet you have some very definite expectations, one of which is to have a pleasant interaction with the staff. And as the world’s most successful brands know, in order to meet that expectation they need to provide both staff training and staff motivation to make that happen.

Employees, regardless of the products or services they provide, are the ones setting the tone for their company and brand. They are the ones on the front lines interacting with customers each and every day. And when employees are fully engaged and satisfied with their job, it shows. They become passionate advocates who positively affect the customer experience. The reverse is also true: When employees are not satisfied, they become liabilities to your brand.

The question is, then, “What is the critical element to helping employees engage in their work?” It’s called motivation, and you can’t have engagement without it.

Areas of Staff Motivation to Keep in Mind

Staff motivation can be a huge challenge for even the best location managers. With so much to manage during every operating hour, a manager’s ability to inspire and motivate employees is limited—but that doesn’t mean it can’t be done. Managers can greatly improve staff motivation by keeping these three areas in mind:

1. Focus: Ensure that employees are focusing on the right things to drive a positive customer experience.
2. Communication: Make sure communication is grounded in the customer experience.
3. Visibility: Keep the customer experience front and center in employee’s minds.

4 Strategies to Drive Staff Motivation for Location Managers

Location managers can master these key areas by implementing some simple and effective strategies in order to drive staff motivation in order to deliver a continued exceptional customer experience:

Strategy #1: Be Generous With Praise

It’s one of the easiest things you can give, not to mention it has a phenomenal cost-to-impact ratio. Praise every improvement you see in your team members, both in one-on-one situations and in front of their peers.

Strategy #2: Make Your Ideas Theirs

Don’t tell your staff what to do. Instead, consult with them in a way that helps them arrive at correct conclusions on their own. For example, ask, “What do you think about trying this?”

Strategy #3: Don’t Criticize or Correct

No one enjoys hearing that they did something wrong. Try an indirect approach to get people to improve, learn from their mistakes, and fix them. Ask, “What will you do differently if that situation arises again? Why?”

Strategy #4: Recognize and Reward

Give a shout out to top performing employees. Run contests or internal games with a simple incentive and keep track of results in an area that everyone can see. You can also leverage InMoment’s Moments, a motivational tool that helps everyone from frontline staff to executives to gain insight into real-time customer feedback, understand the role they play in the customer experience, and take action to improve experiences.

When you display Moment’s in the workplace, you can showcase location-specific feedback, allowing employees to see the state of the experience at their location. That means that when employees are called out by customers for the awesome work they do, they will see it, and so will their team members! This level of recognition gives staff members a direct view into their big-picture impact on the customers and the business, which creates additional motivation to perform in their role.

How Moments Helps Encourage Motivation from Frontline Staff to Executives

Moments empowers users to socialize and share customer and employee feedback, gain insights, and quickly take action to drive experience improvement while fostering a customer-first business approach. Here are just a few of the benefits:

InMoment's Moments helps to increase staff motivation and engagement

Increased Visibility: Deliver high transparency to anyone from frontline staff to location managers, all the way up to executives on incoming customer and employee feedback through a curated data feed of comments published through filtered saved views tailored to users.

Instant Insights: Access experience feedback analytics that provide clarity into customer sentiment, themes and trends, NPS score, and more.

Organizational Engagement: Quickly distribute and socialize customer feedback and get the organization engaged with your customer experience program with an intuitive mobile application.

Improvement from Individual Verbatims: Armed with the right data, users can quickly share feedback with others, create a case for comments that need following up on, add a comment to a collection of similar feedback, and promote experience improvement by rewarding employees for positive feedback.

Case Management: Easily create a case for an experience(s) requiring followup through an integrated case platform. Users can track experiences and respond to feedback through the Moments mobile application and respond to feedback, and mark a case complete or invalid. Plus, users can view actions taken on any given experience for a historical record.

Digital Signage: Showcase filtered experience feedback views on a monitor or television to create a more customer-centric culture within an office environment (we even have Moment’s on display in every common space at InMoment HQ!)

If you take care of your staff and implement the above strategies, you’ll be well on your way to providing a great work environment. In turn, your locations and overall brand will continue to deliver an exceptional customer experience and benefit from return visits, active brand advocacy and loyalty, and, ultimately, an increase in revenue. And isn’t that what every business is looking for?

How & Why You Should Customize the NPS Follow-up Question

There are a lot of ways to learn about your customers. You can pick up the phone, send out a survey, invite them to a customer event, or use a well-known method to learn more about who they are.
How to customize the NPS follow-up question

Net Promoter Score (NPS) is a simple and highly effective way to determine the happiness of your customers. This one rating — how likely are you to recommend <company> — gives you valuable business insights from the need to fix specific issues quickly, to long-term trends. But what about the NPS follow-up question?

That’s where the more actionable insight comes from, because the customer is able to explain the “why” behind their rating with an open-text answer that gives you the good, bad, and the ugly of their experience. 

By customizing your NPS follow-up question, you’re better able to gain the insight you need to improve your customer experience (CX) and increase Customer Lifetime Value (CLV). We have four simple ways you can approach creating the optimal follow-up question for your specific needs.

Read More…

Retail Banks

Collecting data with no way to use it is like learning to drive without a car; it just doesn’t make sense. For retail banks, and most organizations, collecting data is only half the battle in the world of customer experience. Whether it be transactional surveys, online reviews, or a market research report about your customers, the data you collect needs to not just be analyzed, it needs to serve as a road map of future business decisions.

Using customer data to influence your business decisions will lead to a more streamlined, profitable banking organization that actively engages customers. Don’t just take our word for it, research shows that companies who adopt data-driven marketing are six times more likely to be profitable year-over-year. 

Every day, your customers produce data across a vast amount of touchpoints, whether that’s on your banking app, in your call center, or across any of your other channels. That data is there to help you understand their behavior, their needs, and even predict their future behavior. But, in order to do this, that data has to be in a centralized platform in order to be readily available for evaluation and future strategic planning. 

Once you have this data at your disposal, there are a number of ways you can use it to improve experiences for your banking customers. With so many ways to use customer data, we have picked 5 strategies for retail banks looking to leverage customer data.

5 Strategies for Retail Banks to Get the Most Out of Their Customer Data

Strategy #1: Capture Meaningful Data

You need to capture data that is meaningful to your bank, and that is related to the current objectives you have in mind. If you run a local credit union, there’s no point in asking your members what their favorite flavor of ice cream is. This is a more extreme example, but you get what we’re trying to say. If your goal is to improve the digital experience, you don’t want to ask about the in-branch experience.

By designing an experience program with your end goals in mind, you’ll know what data you need to collect to achieve those goals. Knowing what data you need to collect will outline what questions you need to be asking your customers in order to get that data, and consequently, achieve those goals you originally planned. 

Retail banks already have access to critical customer data. Age, gender, geographic location, and spending habits are data points that can already be leveraged. But, mixing these data points with structured feedback via social media or surveys, as well as meaningful data captured in order to achieve a desired goal, will allow retail banks to get a holistic view of their customer and their customer experience. 

Wondering how you can refine your data-gathering strategy to leverage the right listening methods at the right time? Check out this quick article.

Strategy #2: Master Omnichannel Experiences

Retail banking customers today demand consistent, intuitive omnichannel experiences that are personalized and accessible anywhere. However, most retail banks fail to deliver this and are unable to monetize customer data through their products and services. 

Research shows that online banking has increased by 23% and mobile banking has increased by 30%. This means that customers are stepping away from the teller, and toward the chat assistant on your bank’s website or app. Although the medium is changing, customers still expect the same experience that they received inside a branch to be consistent with the one they receive online. 

By mastering omnichannel experiences, you will set yourself apart from the competition, and keep your customers coming back time and time again, whether they are on their phone, computer, or visiting you in person. 

Strategy #3: Break Down Data Silos

Breaking down data silos and combining data from multiple sources across a banking organization can increase efficiency and control in a fast-changing and demanding environment. 

Retail banks receive data from multiple sources and departments. If these various pathways of customer data do not converge on a central location, retail banks risk having a distorted view of the customer experience and risk an increase in customer churn. 

By having all of your customer data in one place, you can easily access multiple data points from different locations across your organization. This will provide you with a 360-degree view of a customer’s activity and engagement with the bank and will allow you to make well-informed decisions with your customer base in mind. 

Strategy #4: Collect Data Across the Entire Customer Journey

Retail banks can achieve their goals by tracking the customer journey, and finding areas of improvement. When doing this, it is important to track the entire customer journey. While a traditional bank may track the customer journey as opening an account, transactions, and borrowing, you should be tracking the steps it took for a customer to open an account, such as their first visit to your website. Where other banks track transactions, you should track specific spending habits in order to know your customer and personalize their experience. 

Retail banks must keep the customers at the heart of the journey by tracking key moments in their experiences and improve these moments in the customer journey.

Strategy #5: Analyze Behavior and Emotions

Throughout the data collection process, it is important to remember that your customers cannot be reduced to just a mix of data points. Your customers have emotions, and they make emotional decisions. Without cultivating positive emotions in customers, banks risk being forgotten. You need to know your customers behavior, so that you know where to focus to make the biggest impact on them. 

According to J.D. Power, Customers in the retail banking industry are not happy with the level of personalization they experience in their transactions—but the customer feedback you collect could help change all that! Designing experiences to create positive emotions increases customer lifetime value and reduces risk of customer churn. Learn how retail banking giant Virgin Money analyzed customer emotions across the journey to create specific improvements and positive emotions in this video!

Leveraging Your Customer Data

Your customer data should be one of your biggest assets. It can be used to solve problems, and make decisions with your customers’ needs in mind. But remember, data alone cannot make those changes—you need to make sure you’re leveraging the right technology, taking the advice of experts, and taking action based on the insights you derive from that data. Put in place a framework that ensures that type of continuous experience improvement, and you are sure to attract new customers, retain old ones, and, ultimately, make your customer experience program a key part of your retail bank’s success!

For more information about how retail banks can leverage customer data effectively, checkout this white paper on how to stand out in your industry!

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