The potential for machine learning to elevate the customer experience has everyone buzzing. AI-powered text and sentiment analysis can be an incredible solution for specific problems that CX pros face. 

But how do you know when the time is right to move to the next level of CX? Are there new tools you can purchase to step your game up? How do you know they’ll be worth it? 

There are clear signs that your CX program is ready for, and your company could quickly benefit from, text and sentiment analysis. And we’ll delve into them here.

Before we get going, some definitions:

  • Text analysis takes qualitative customer comments and determines relevant themes. Software companies might see themes such as ‘feature request’, ‘bug’, or ‘pricing’. This allows you to quickly see what your customers are focusing on, and then dive in to see what they’re specifically saying about each topic.
  • Sentiment analysis offers micro and macro insights into how your customers are feeling about your company and products. It determines whether the text received for each text theme is positive, negative, or neutral. It also analyzes the comment as a whole, assigning sentiment to the entire verbatim text.

Let’s look at the 7 signs text and sentiment analytics will be worth the investment for your company. 

1. You have a mature or quickly-maturing CX program.

Those of you considering text and sentiment analytics probably already have a few key elements in place:

  •  A customer experience strategy and a Voice of Customer listening system
  • A C-suite sponsor who has been fostering a customer-centric culture across the whole company with NPS as the guiding star
  • A system asking for feedback through the entire customer journey 

Now that you have a relatively mature CX program, you’re wondering how to extract even more value out of it.

2. You receive 500+ comments per month (or you’re headed there.)

Ideally, you want to listen to all of your customers – not just a sample or the first to respond. In reality, at a certain point the sheer volume of incoming customer feedback is more than a CX program can handle without an upgrade. You know this is the case when:

  1. You feel excitement and dread regarding the amount of feedback you receive.
  2. You’re anticipating a whole lot more comments soon.
  3. You’ve even had to cap the number of comments you receive in a day to avoid being overwhelmed with the task of organizing and responding to everyone.

Overwhelming amounts of feedback is an amazing problem to have, but a problem nonetheless. Using text and sentiment analytics, you can turn unstructured qualitative feedback, like NPS comments, into organized insight in a matter of minutes.  

Text and sentiment analytics allow you to analyze customer feedback using Natural Language Processing, looking something like this:

Read Google’s case study on Wootric and Natural Language Processing here.

By combining text and sentiment analytics, you can search negative comments and quickly assess, for example, that 80% of your negative comments are about pricing. Or 45% of your customers in the Northeast region are talking about slow delivery times. That summary lets you know where to focus resources, and how quickly you need to make the change relative to other company priorities.

3. You’re sitting on a goldmine of feedback, but unable to get actionable insights.

Do you have a backlog of comments waiting to be read and sorted? Or maybe you’ve skimmed a few comments to answer the urgent ones, but you keep putting off the others.

One of our clients came to us with NPS survey comments from thousands of users. But rather than mining that information, they were running focus groups to prioritize feature requests because it was easier. They were duplicating efforts to get information they already had but couldn’t access and act on.

“The two biggest mistakes [in CX] are not doing qualitative research in the first place and then not putting it to use.” –Morgan Brown, Product Manager at Facebook and coauthor of ‘Hacking Growth’

If you’re feeling this pain, it’s time to automatically mine the insight from that pile of comments you’ve been sitting on. Turn anecdotes and hunches that you’ve got about your customer experience into evidence-backed insight by using. And do it quickly with text and sentiment analytics.

CXInsight™ Dashboard tagging segmentation screenshot

Source: CXInsight™ Dashboard

Sliced and diced organized feedback is easily available with many platforms that offer text and sentiment analytics. Doing this can help you understand the root cause of trends – like the needs of different customer personas or geographic regions – more comprehensively.

4. Manual feedback organization & categorization is insightful, but painfully slow.

While some customers duplicate efforts between data gathering and focus groups to get insight, other CX pros just bite the bullet and spend hours reading customer comments, labeling them, and funneling them into an unwieldy spreadsheet. They’re understandably frustrated by how difficult it is to get actionable insight.

By using text and sentiment analytics, humans can get huge quantities of customer feedback sorted and analyzed at the push of a button. Better yet, computers don’t have bad days or lose focus.

Once organized with tags, your time is freed up to look at the themes and trends that arise from the noise, then create actionable strategies based on those insights.  

Now you can jump straight into action and the interns can work on more interesting, valuable projects!

PRO TIP: To get high quality insights at the push of a button, algorithms need to be trained. Be sure your feedback management software vendor has a team that will work with your data to ensure you get valuable insight from the start. With more data and occasional human guidance, you’ll get better and faster insight over time.

5. Your CX program lacks a real-time issue detection system.

An important element to providing a good customer experience is making sure any issues are handled quickly and efficiently. If you can detect and address them before your customer has a real issue, your CX program has paid for itself.

One of the benefits of having text and sentiment analysis is that your data and insights are updated in real-time. This means you have a new issue detection system.

Source: CXInsight™ Dashboard

This works best for a more mature customer feedback program with an established baseline, or status quo. For example, you know that on any given day, in any given geographic region, about 10% of your comments are tagged with ‘out of stock’ as an issue. When you check in and see that in Texas, 25% of comments coming in are tagged ‘out of stock’, that raises a red flag. You can immediately dig into specifics, read through the verbatims, and send those comments to the right people for follow up before the issue blows out of proportion.

The CX dream of being proactive in solving issues can be achieved with the help of automated organization of qualitative feedback.

6. Your internal teams aren’t agreeing on CX priorities.

It’s a given that successful companies focus on customer needs and experiences. The question is: is everyone at your company seeing the same information in the same way? If not, you’re wasting time and costly resources with competing priorities, and it is definitely time to invest in tools to fix it.

By having your CX tech parse the text and sentiment of your 1K+ daily inputs of customer feedback, you can democratize the information and insights across every team at your company. And that will ensure team leaders can quickly align to address the right priorities. So product development and customer support will be on the same page, and features will get developed (or possibly de-bugged) to meet the most important needs of the customer.

How does that happen? Feedback from every customer touchpoint is analyzed, from in-product surveys to emails. In this example, support ticket subject lines are auto-categorized and everyone from support to service to product to the c-level can see what issues are hot items to address.

Support Ticket Text Analytics in Wootric CXInsight

Source: CXInsight™ Dashboard

Looking at the text analytics, it quickly becomes apparent that 15% of the support tickets are related to bugs that need to be addressed. On the proactive front, product could also delve into comments tagged “feature request” and focus on user concerns about UX/UI.

7. You need to demonstrate the ROI of your CX program.

Companies are eager to hop on the CX bandwagon, but it can still be a fight to get the proper resources to make a CX program thrive. You’ve probably already shown the C-suite the correlation between CX and revenue growth, but there’s pressure to squeeze a little more ROI out of what you’ve established. 

Investing in a tool that pulls ROI from data is an expense. But it’s a more strategic spend than, and offers more immediate follow-up and action, than  performing passive data review and organization. It’s also a moredirect value-add and much less expensive than hiring a third party human operation. 

The cascading effects throughout the organization will increase ROI in the long-term as well.

  • Product teams can prioritize and build with evidence-based confidence. 
  • Marketing teams will gain an understanding of different personas and see customers excited to spread the word about your business. 
  • Support and operations teams will have early warning of potential issues and have more context when dealing with problems.

In the end, qualitative data is crucial to extracting value out of CX initiatives. Having more data from engaged customers should not be an obstacle. 

Is this the point?

Are you seeing any of these 7 signs when you look at your company’s CX program? If so, do a cost benefit analysis. Typically, once your program has matured, the cost of tools that create actionable insights out of customer feedback are far cheaper than the cost of misaligned resources and long delivery times. Text and sentiment analytics make the resources you put into CX initiatives efficient, and turn the large quantity of unstructured data into an advantage by mining insight that would otherwise sit in limbo. Move this tipping point in your favor.

3 Ways an Improvement Success Framework Can Supercharge Your Experience Program

ROI has been a notoriously fickle element of experience programs for years—but it doesn’t have to be. In fact, the difficulty of proving ROI stems less from experience programs being a financially elusive unicorn than many companies not tying their program to a quantifiable objective.

These days, it’s not uncommon for brands to take the term “listening program” to mean a series of listening posts set up across multiple channels.

Yes, those posts are an important part of listening, but experience programs can be so much more (and do so much more for your business). They can go far beyond listening in across channels and reacting to customer comments only as they come in.

Listening for, reacting to, and measuring customer sentiment in this manner is what’s commonly known as experience management. And honestly, it rarely moves the needle for brands or creates a better experience for customers. Experience improvement (XI), by contrast, allows companies to achieve both of those goals by connecting to customers in a very human way. Essentially, it pays for brands to have an experience improvement success framework.

Today, we’re going to touch on three ways a success framework can add unbridled power to any improvement effort:

  1. Proving ROI
  2. Listening Purposefully
  3. Owning The Moments That Matter

Key #1: Proving ROI

ROI has been a notoriously fickle element of experience programs for years—but it doesn’t have to be. In fact, the difficulty of proving ROI stems less from experience programs being a financially elusive unicorn than many companies not tying their program to a quantifiable objective.

This is why it is crucial that brands establish hard, specific goals for their experience program. An objective like “be more customer-centric” isn’t going to cut it, especially when it comes to proving ROI. Rather, experience practitioners and stakeholders need to work together to hash out program objectives that can be tied to financial goals.

Whether it’s acquiring X amount of new customers or lowering cost to serve by Y percent, creating goals like these and gearing your program toward them will make establishing ROI much, much easier.

Key #2: Listening Purposefully

ROI isn’t the only area a success framework can help companies stencil in. This setup can also help brands better identify who to listen to and why.

Conventional wisdom holds that companies should listen for feedback from anyone, but that isn’t necessarily true. Callous as it may sound to some, the truth is that some audiences are just more worth listening to than others. A success framework can help companies identify which audiences they need to listen to to achieve program goals.

This approach is also handy for cutting through the mountains and mountains of data that experience programs inevitably rake in. They also help programs get to the heart of providing a great experience, which leads us to our final topic:

Key #3: Owning The Moments That Matter

The moments that matter are the instances in which the needs of customers, employees, and businesses all connect. They’re the moments in which a customer journey transcends a transaction and becomes a profound emotional connection. Owning the moments that matter is vital to creating connections and inspiring transformational success across your business.

This final key is a culmination of establishing financial goals, listening purposefully, and taking action—ultimately creating meaning for customers. That capacity to create meaning is what sets the best brands apart from the competition and carries them to the top of their verticals. And it all starts with building an experience improvement success framework.

Click here to learn more about how to create a success framework and why doing so at the very start of your experience improvement journey will guarantee success for you, your customers, and your employees.

Text Analytics Terms You Need to Know

Whether you're a seasoned pro or just getting started in the world of customer experience (CX) and employee experience (EX), you need to be fluent in the language of text analytics.

Whether you’re a seasoned pro or just getting started in the world of customer experience (CX) and employee experience (EX), you need to be fluent in the language of text analytics.

However, that’s more easily said than done. With technology evolving so quickly, it’s hard to keep up with the latest and greatest. That’s why we’ve put together this quick text analytics glossary. Check it out below!

Top Terms

Accuracy: The combination of precision and recall for a given tag or model. 

Emotion: A measure of positive/negative feelings. Must be strong and clear-cut enough to be categorized as a specific emotion.

Human Translation: This translation method has a human translate each comment individually as the customer submits it.

Intent: Intent identifies what the customer is trying to achieve based on their response.

Keyword: A word or term that occurs in unstructured customer feedback data.

Machine Translation: Translation done by a machine that has been trained by humans.

Native Language Model: A text analytics model that is purposely built for a specific spoken language.

Natural Language Processing: A field of computer science and artificial intelligence that draws intelligence from unstructured data.

Precision: Correctness; represents how often a given concept is correctly captured by a specific tag. 

Recall: Coverage; refers to how thoroughly the topics or ideas within a given tag are captured. 

Sentiment: The expressed feeling or attitude behind a customer’s feedback. Categorized as positive, negative, or neutral.

Sentiment Phrase: Also referred to as a Sentiment Bearing Phrase or SBP. A phrase or sentence identified with positive, negative, or neutral sentiment.

Sentiment Score: A measure for both the polarity and intensity of the sentiment within a given comment.

Tag: A label generated from text analytics that groups together similar customer comments around a specific concept or topic.

Text Analytics: The methods and processes used for obtaining insights from unstructured data.

Text Analytics Model: A natural language processing engine that uses tags to label and organize unstructured data.

Theme: A dynamically extracted concept from a collection of comments, generated by an unsupervised machine learning algorithm.

Unstructured Data: Qualitative data or information that is not organized according to an easily recognizable structure. Can include comments, social data, images, or audio recordings

Making the Difference with Text Analytics

We hope this quick glossary helped you on your journey to find the best solution for your business. After all, text analytics make the difference between getting a meaningless score from your data and getting actionable intelligence. And without that intelligence, you can’t make experience improvements in the moments that matter. That’s why it’s so important to get your text analytics right!

If you want to learn more about world-class text analytics solutions, including new approaches like custom layered models and adaptive sentiment engines, you can check out our full eBook on the subject here!

The Shortcomings of Comment-Based Surveys

Comment-based surveys can be effective for immediately gathering feedback from customers. However, there are several arenas in which brands use comment-based surveys when another survey type would yield better intelligence.

Comment-based surveys can be effective for immediately gathering feedback from customers. And when it comes to customer experience (CX), timeliness can make or break an organization’s ability to act on that feedback.

However, there are several arenas in which brands use comment-based surveys when another survey type would yield better intelligence. Today, I’d like to dive into several shortcomings that can make using comment-based surveys challenging for brands, as well as a few potential solutions for those challenges. Let’s get started.

Outlet-Level Analysis

As I discussed in my recent article on this subject, comment-based surveys are often less effective than other survey types for conducting outlet-level analysis. In other words, while brands can see how well stores, bank branches, and the like are performing generally, they usually can’t determine where individual outlets need to improve .

The reason for this has as much to do with the feedback customers leave as the survey design itself. From what I’ve seen across decades of research, customers rarely discuss more than 1-2 topics in their comments. Yes, customers may touch upon many topics as a group, but rarely are most or even a lot of those topics covered by singular comments.

What all of this ultimately means for brands using comment-based surveys to gauge outlet effectiveness is that the feedback they receive is almost always spread thin. The intelligence customers submit via this route can potentially cover many performance categories, but there’s usually not that much depth to it, making it difficult for brands to identify the deep-rooted problems or process breakages that they need to address at the unit level if they want to improve experiences.

(Un)helpful Feedback

Another reason that brands can only glean so much from comment-based surveys at the outlet level is that, much of the time, customers only provide superficial comments like:“good job”, “it was terrible”, and the immortally useless “no comment.” In other words, comment-based surveys can be where specificity goes to die.

Obviously, there’s not a whole lot that the team(s) running a brand’s experience improvement program can do with information that vague. Comments like these contain no helpful observations about what went right (or wrong) with the experience that the customer is referring to. The only solution to this problem is for brands to be more direct with their surveys and ask for feedback on one process or another directly.

How to Improve Comment-Based Surveys

These shortcomings are among the biggest reasons brands should be careful about trying to use comment-based surveys to diagnose processes, identify employee coaching opportunities, and seeing how well outlets are adhering to organization-wide policies and procedures. However, none of this means that comment-based surveys should be abandoned. In fact, there’s a solution to these surveys’ relative lack of specificity.

Brands can encourage their customers to provide better intelligence via multimedia feedback. Options like video and image feedback enable customers to express themselves in their own terms while also giving organizations much more to work with than comment-based surveys can typically yield. Multimedia feedback can thus better allow brands to see how their regional outlets are performing, diagnose processes, and provide a meaningfully improved experience for their customers.

Click here to read my Point of View article on comment-based surveys. I take a deeper dive into when they’re effective, when they’re not, and how to use them to achieve transformational success.

3 Simple Steps That Make Your CX Program Actually Move The Needle

It’s no secret that many companies’ experience programs aren’t delivering the results that those brands expect and, frankly, need. Too many customer experience (CX) initiatives are stuck solely on giving companies metrics, which by themselves cannot deliver a meaningfully improved experience and thus a stronger bottom line.

It’s no secret that many companies’ experience initiatives aren’t delivering the results that those brands expect and, frankly, need. Too many customer experience (CX) programs are stuck solely on giving companies metrics, which by themselves cannot deliver a meaningfully improved experience and thus a stronger bottom line.

However, there is a solution. Companies don’t have to stay stuck merely “managing” their experiences. We’ve put together three proven steps that companies can follow to take their program, and thus their brand, to the top:

  1. Determining Business Objectives
  2. Gathering The Right Data
  3. Taking Intelligent Action

Step #1: Determining Business Objectives

Traditionally, many firms have been in such a hurry to start listening in on their customers’ tastes and preferences. And while this eagerness is admirable, it often results in wantonly turning listening posts on everywhere and waiting for insights to roll in. Listening is important, yes, but listening passively is worlds different than listening intently. The former focuses on gathering metrics, feeding those metrics into a piece-by-piece reactive strategy, and calling it a day. The latter calls for businesses to firmly establish what they want to achieve with their experience program before turning any ears on.

There are several merits to determining business objectives before listening to customers, and they all have to do with looking before leaping. First, companies need to decide what business problems they want their experience program to solve. Foregoing this step and listening for the sake of listening is why so many programs either fail or provide ROI that’s murky at best.

Additionally, companies can take considering objectives as an opportunity to tie their experience programs to financial goals. Like we just said, it’s hard to prove a CX initiative’s ROI if it has no clear objective beyond just listening to customers. Spelling your program’s goals out in financial terms gives CX teams a hard number to work toward—then, when that number is achieved, those teams will have a much easier time using that achievement to leverage additional funding in the boardroom.

Step #2: Gathering The Right Data

There’s another reason why it pays to stop and think before turning listening posts on in every channel: some customer segments are more worth listening to than others. This idea may sound a bit callous, but think about it—a listening program geared toward evaluating a loyalty program is going to be much more useful if it hones in on long-term customers instead of casting a net all over the place.

This notion is also known as the concept of gathering the right data. It’s okay for brands to use different listening posts for different audiences—in fact, this strategy is much more likely to garner useful intelligence. Thus, it’s just as important for companies to consider their audiences as it is concrete financial goals when it comes to experience programs. The right data can yield the right intelligence, which can enable brands to take the right steps toward transformational success.

Step #3: Taking Intelligent Action

Much of the work in this step will already have been done if companies follow the previous two steps correctly. Like we said, it’s a good idea for brands to look before they leap and carefully consider what they hope to accomplish with a listening program. Yes, the goal of “listening” is all well and good, but the problem with experience management is that the buck stops there. Take your CX aspirations further than gathering metrics and decide what that listening is meant to accomplish. More customer acquisition? Retention? Lowering cost to serve? Set those goals and attach dollar amounts to them.

Then, take some time to consider which audiences you need to listen to in order to achieve those goals. Arming yourself with concrete goals and intelligence from the right audiences will enable your organization to take the meaningful action it needs to reach the top of its vertical, make a stronger bottom line, and create an emotional, connective experience for both customers and employees. Companies can use these steps to move the needle and take their program from experience management to something far more profound: experience improvement.

Want to learn more about how CX programs can move the needle and create lasting success for businesses, customers, and employees? Check out our new POV article on the subject, written by EVP Brian Clark, here.

Four Ways to Create Emotionally Moving Experiences for Your Customers

Most brands are keenly interested in creating experiences that move their customers on an emotional level—the trick lies in figuring out which factors companies can and should wield to elicit that response from the individuals they seek to serve. 

Most brands are keenly interested in creating experiences that move their customers on an emotional level—the trick lies in figuring out which factors companies can and should wield to elicit that response from the individuals they seek to serve. 

Experience outcomes have a lot to do with all the usual elements, like brand professionalism, but they also have everything to do with how customers feel before, during, and after an experience. Companies can only do so much to manage customers’ feelings, of course, but that does include evaluating how those individuals feel as they share experiences and using that feedback to make meaningful changes.

Today we’re going to touch on four ways that companies can create more emotionally meaningful experiences:

  • Identifying Customers’ Emotional State(s) of Mind
  • Evaluating Emotions’ Impact on KPIs
  • Shifting Customer Emotions
  • Empowering Staff & Processes with New Intelligence

Method #1: Identifying Customers’ Emotional State(s) of Mind

As we mentioned, companies can’t control customers’ emotions, but they can gauge how those individuals feel before and after an experience. Whether it’s via a quick post-purchase survey, social media, or other listening tools, organizations can easily learn not just how their customers are feeling, but also how those feelings inform their decision to come to the brand for a specific need and what their impression is after the interaction.

This information is invaluable for meaningfully changing and/or improving experiences, and gives brands a real shot at better managing customers’ emotions as they interact with the organization. Of course, it should also mean a better experience for all parties involved.

Method #2: Evaluating Emotions’ Impact on KPIs

This one probably goes without saying, but it really can’t be understated how large an impact customer emotion has on KPIs. A customer who’s made to feel angry, for example, probably isn’t going to do wonders for a brand’s retention or cross-sell/upsell KPI. Brands should thus always view KPI improvement through the lens of customer emotion.

This topic connects heavily to the idea of meaningful experience improvement as well. The most transformational process changes can ripple through an entire organization from the bottom up—a better experience occurs, customers become happier, and all the best KPIs light up as a result of the positive emotions that experience improvement instills toward the brand.

Method #3: Shifting Customer Emotions

This point definitely forms a Venn diagram with our first method, but the idea of shifting customer emotions during an experience really deserves its own bullet. Brands shouldn’t restrict their emotional evals to seeing how customers feel before and after an experience—they should also evaluate what can be done to elicit positive emotions (and quash negative ones) in the midst of customer interactions with a brand.

This lens affords customer experience (CX) practitioners a chance to tweak experiences in truly meaningful ways and can be thanked for conventions such as, say, auto dealerships offering customers coffee while they wait for repairs. Likewise, every experience a brand provides should also be thoroughly evaluated for pain points, bottlenecks, and other broken touchpoints that risk upsetting customers. Brands that find and fix these areas will have shifted their customers’ emotions mid-experience, which is powerful.

Method #4: Empowering Staff & Processes with New Intelligence

To expand upon the point made at the end of the last section, knowing how customers feel only really means something if brands execute on those emotions. It also means that companies shouldn’t confine that execution to a CX or customer-facing team. In fact, why not share those learnings throughout the business? Even teams who work far from the frontlines usually have something to do with providing a great experience, and should thus be let in on new learnings.

Finally, as we already talked about, process fixes are a must once companies have learned how experiences make their customers feel. Besides, actual fixes are really the only way that brands can create emotionally moving experiences for their customers in the first place. Using these methods as an improvement taxonomy can help any brand actually reach that goal.

Check out our full report on the importance of customer emotion created by longtime CX expert Simon Fraser.

How to Craft Deliverable Brand Promises

Delivering promises is one of the most important things a brand must do for its customers. Keeping commitments is much easier said than done, but customer loyalty lives and dies by companies’ ability to follow through.
Staff meeting in restaurant

Delivering promises is one of the most important things a brand must do for its customers. Keeping commitments is much easier said than done, but customer loyalty lives and dies by companies’ ability to follow through. Succeed, and the brand generates loyalty and retention. Fail, and the organization ends up burning bridges—potentially permanently.

So, how can brands avoid breaking promises? Well, as I outline in my recent POV on this subject, one of the ways that companies can ensure that they consistently fulfill customer obligations is to create realistic brand promises in the first place. Here’s how brands can do that.

Know Your Customer

Brands should always evaluate the promises they make through a customer’s lens. That means knowing who their customers are, what they consider to be important, what they’re looking for in an experience, and why they come to you for it. This notion is sometimes referred to as the customer’s “moment of truth” and a brand has fulfilled a promise in their eyes when it delivers that moment consistently.

To many customers, the difference between failing to keep a promise and failing to deliver on a moment of truth is miniscule. In my aforementioned POV, I talk about how a colleague of mine experienced an especially brutal broken promise: an airline flight that didn’t uphold its promised anti-COVID safety measures. Not understanding the moments of truth is one thing; understanding and then failing to deliver can be a deal breaker. Additionally, depending on the severity of the problem, some customers will not give brands a second chance.

Delivering The Goods

Companies need to clearly understand what their customers want so they can both rise to the challenge and ensure that they deliver flawlessly on that desire. Brands can increase their likelihood to succeed by building a customer experience (CX) program as part of their business operation. A decent CX program can make brands aware of customers’ wants and needs—a great CX program unites customer, employee, and marketplace perspectives to give companies a continuous, 360-degree view of the experience(s) they provide.

This approach gives brands the opportunity to know what their customers value, so they can create grounded, realistic promises that can be delivered every time. If nothing else, it’s always better to underpromise and overdeliver than to overpromise and underdeliver.

Brands that take this tack will be positioned to create not just good promises for their customers, but the right promises. Companies that pick the right brand promises and deliver at the moments of truth create customer loyalty and a  stronger bottom line for themselves.

Want to learn more about the importance of creating and keeping effective brand promises? Take a look at my article on the subject here.

Three Factors That Help Experience Programs Avoid Unanticipated Costs

Unanticipated costs can quickly become the bane of any business project, customer experience (CX) or otherwise, if they’re not carefully considered before pens have been put to paper. It’s thus imperative for CX practitioners who want to pitch their programs to anticipate and prepare for unexpected costs as much as possible.

Unanticipated costs can quickly become the bane of any business project, customer experience (CX) or otherwise, if they’re not carefully considered before pens have been put to paper. It’s thus imperative for CX practitioners who want to pitch their programs to anticipate and prepare for unexpected costs as much as possible.

We’ve listed the three most effective considerations that practitioners can use to anticipate and avoid unexpected experience program costs:

  • Vendor Scalability
  • Vendor Flexibility
  • Nonparticipation Costs

Factor #1: Vendor Scalability

This tip may seem gratuitous, but program scalability actually isn’t considered as often as it should be, and brands can end up paying extra for that mistake. Practitioners can avoid a lot of headaches with their own teams, the C-suite, and the accounting department by selecting an experience partner that can scale programs from the very beginning.

This approach enables brands to select and begin a program that grows alongside both their CX accomplishments and aspirations. It also allows organizations to reduce operating costs from the very beginning, which can result in both a much healthier program and a CX budget that always stays in the black. CX practitioners can use this method to strive for an ambitious program while still avoiding unanticipated costs.

Factor #2: Vendor Flexibility

Though picking an experience partner and implementing its capabilities is no small task, the days of rigid, prepackaged experience programs are drawing to a close. This is great news for businesses because they can now work with vendors to create a versatile experience solution instead of attempting to wrap themselves around an unflinching list of features (many of which a given company may not actually need).

Solution flexibility enables CX practitioners to avoid unanticipated costs by paying only for what they need from a vendor. For example, would your brand benefit from an analytics team or does that capability already exist within your organization? What about a self-service approach versus full management from the vendor? Once practitioners consider these questions, they should select a partner that’s flexible enough to meet their needs without showering them in unneeded extras and—you guessed it—unnecessary costs.

Factor #3: Nonparticipation Costs

There’s another element to cost consideration that often goes, well, unconsidered when brands talk about implementing an experience program, and that’s what happens when companies don’t have such an initiative in place.

Feedback collection, experience improvement, and customer centricity are all more important now than ever before. These ideas are the means by which brands can both create a better experience for customers and use that capability to plant a flag at the top of their vertical. Therefore, brands should consider the very real opportunity cost of not collecting, analyzing, and implementing feedback. An experience program isn’t a luxury anymore—it’s non-negotiable for any company that wants to succeed.

Taken together, these three methods can empower brands and the experience practitioners who work for them to avoid unanticipated costs and keep their programs viable. They can then use their programs to achieve what we just talked about: a meaningfully improved experience for customers and thus a more commanding presence in their marketplace.

Three Ways to Convince The C-Suite Your CX Program is Essential

Proving experience programs’ worth isn’t easy, but it needn’t be the bane of CX practitioners’ existence. In fact, we’ve discovered three ways to convince the C-suite that experience programs are much more than just a garnish.

It’s not uncommon for organizations to consider customer experience (CX) programs a nicety—something powerful, no doubt, but also just a luxury instead of an essential component of business success. This attitude prevails even as today’s marketplaces become more competitive and the COVID-19 pandemic changes customer wants and needs faster than many brands can keep pace with.

As we outline in our recent paper on this subject, proving experience programs’ worth isn’t easy, but it needn’t be the bane of CX practitioners’ existence. In fact, we’ve discovered three ways to convince the C-suite that experience programs are much more than just a garnish. These three methods are:

  • Aligning Capabilities With Strategic Objectives
  • Pitching Customer Centricity
  • Demonstrating The Power of Real-Time Feedback

Method #1: Aligning Capabilities With Strategic Objectives

As we just mentioned, marketplaces and industries are all becoming more competitive, which means that brands must strive to provide the best customer experience possible if they hope to stand out. The specific goals that businesses put forth to accomplish that vary wildly from industry to industry, but there’s one common denominator here: CX capabilities that enable these goals can take a company all the way to the top.

With that in mind, CX practitioners who want to prove the necessity of their programs need to select software that can enable business objectives. A lot of organizations take this to mean that CX software is useful only for measurement. Measurement is important, of course, but the best technology empowers brands to execute something much more important than measurement: action. A brand’s ability and willingness to take action on CX learnings determines whether that organization is a transformative leader, or a follower that’s content with management.

Method #2: Pitching Customer Centricity

This tip may sound too general, maybe even like it’s a Herculean task, but consider that the organizations that do best within their verticals are the ones that effectively disseminate CX learnings throughout the business rather than leave statistics siloed up with an experience team. CX practitioners can pitch their programs by pointing to this example and encouraging their organizations to follow suit. All it takes to create a culture of customer centricity is desiloing CX intelligence and handing it out to the right departments and stakeholders.

This approach has another advantage in that it can help CX practitioners create grassroots support for their initiatives. Creating customer centricity can help employees become more invested in their work and more strongly feel that it matters. Their own insights and feedback is also an invaluable component of any CX initiative, and collecting it can make them feel heard. With this approach, practitioners can ride a groundswell of bottom-to-top support all the way to the boardroom.

Method #3: Demonstrating The Power of Real-Time Feedback

This tip overlaps somewhat with the first method we talked about, but the power of real-time feedback truly deserves its own special mention. Real-time feedback is the only truly effective way for brands to know which customers are promoters and which are detractors, enabling them to both save at-risk customers and identify the themes common to both groups’ view of the business.

Real-time feedback also empowers brands to achieve four business goals that practitioners can use to further assert their programs’ value. These goals include acquiring customers, retaining existing ones, cross-selling or upselling to established customers, and lowering cost to serve. Practitioners who pitch real-time feedback through this paradigm can both better tie it to financial goals and give the C-suite something more specific to chew on than, say, “becoming more customer-centric.”

These three strategies are effective means of introducing or ensuring the longevity of CX programs at any brand, and can help CX teams make the case that experience initiatives are no mere flight of fancy but rather the key to transformational success in today’s business world.

4 Ways to Measure (and Prove) B2B CX Program Results

Tying experience program results to improved outcomes often proves to be the most challenging aspect of running an experience program, especially since stakeholders usually express at least a little skepticism alongside all the buy-in. Luckily, there are several tried-and-true metrics that practitioners can track to justify ROI.

If you’re a practitioner who won support for your B2B experience program and have since implemented it across your organization, congratulations! Garnering sponsorship for experience programs is not easy, but doing so means that you’ve built trust at and received investment from both the frontline and executive levels.

Now comes the hard part: proving results and justifying ROI.

Tying experience program results to improved outcomes often proves to be the most challenging aspect of running an experience program, especially since stakeholders usually express at least a little skepticism alongside all the buy-in. Luckily, there are several tried-and-true metrics that practitioners can track to justify ROI, and we’re going to hit them all right now:

  • Customer Acquisition Growth
  • Customer Retention & Recovery
  • Upselling Established Customers
  • Profitability From Lowered Costs

Metric #1: Customer Acquisition Growth

This is one of the biggest goals that most brands set for their experience programs, which makes it a vital metric for practitioners to keep track of as their initiatives take off. Acquiring new customers is neither simple nor cheap, and if there’s one group of stakeholders who constantly bears this fact in mind, it’s the C-suite.

Tracking customer acquisition is thus a must for any B2B experience program. Doing so demonstrates an experience program’s merit to all stakeholders involved, especially since, as we just mentioned, acquiring new customers is no small task. Experience platforms that can track changes and monitor new growth are especially useful here since they make proving acquisition relatively straightforward.

Metric #2: Customer Retention & Recovery

There are two big reasons why customer retention is a powerful and pertinent B2B experience metric: first, retaining customers is far cheaper than acquiring new ones, and second, most brands begin experience programs to, well, improve experiences for their existing customer base. Experience practitioners can prove their programs’ effectiveness at hitting both goals by tracking customer retention and recovery.

There’s a myriad of ways to demonstrate experience initiatives’ value when it comes to customer recovery. For example, these programs often make it simple for practitioners to survey customers who reach out to contact centers, garner feedback, and turn it into actionable intelligence. That intelligence can then be used to meaningfully improve both call center processes and customer retention along with it. All of those metrics can be tied directly to experience programs.

Method #3: Upselling Established Customers

Retaining existing business is great, but many B2B brands set their sights on a more ambitious goal: increasing their share of wallet with their established customer pool. The tools, improvements, and processes afforded by experience programs make this goal possible, and practitioners can and should tether the improvements brought about by their efforts to any increase in share of wallet.

Practitioners commonly use experience programs to upsell existing customers by honing in on those individuals’ needs and wants. They can also use these programs to call upon a backdrop of operational and financial data, which grants B2B organizations a 360-degree view of who these individuals are. Practitioners and customer experience (CX) teams can then identify and act upon upsell opportunities.

Method #4: Profitability from Lowered Costs

This ROI metric can be less flashy than sporting new customers or increased share of wallet from existing ones, but the C-suite loves it no less.

In addition to providing meaningful experience improvement opportunities, a well-run experience program can help brands identify ways to eliminate waste and save costs. Experience practitioners can establish their programs’ value by showing stakeholders such opportunities as their initiatives reveal them, giving B2B organizations the chance to save money while also being empowered to improve experiences. To put it candidly, nothing screams “value” to an organization quite like increased profitability.

Acquiring sponsorship for an experience program isn’t easy. Harder still is proving that program’s worth. However, practitioners who focus on proving their programs’ worth through these four lenses will have a markedly easier time actually doing so. They can then secure additional resources to expand their programs’ scope and reap additional success for themselves, the B2B brands they serve, and the customers who sustain those organizations.

Learn more about B2B experience programs, proving ROI, and creating continued success here.

What Is Customer Lifetime Value?

The technical definition of Customer Lifetime Value (CLV) is the revenue earned from a single customer over time. It’s an equation that subtracts the cost to acquire a new customer (CAC) from the total revenue from that customer. The goal is to make the revenue-over-time from each individual customer as high as possible.

But the technical definition doesn’t cover the magic that’s actually in customer lifetime value – as a metric and as a mission for a digital marketplace,  an e-commerce site, and SaaS businesses. Because when you go after customer lifetime value with intention, making it one of your “North Star” metrics, you’ll find that the cost-to-acquire actually shrinks. It becomes less expensive to acquire new customers, and the revenue pours in exponentially. 

We are also at an inflection point with SaaS. While many SaaS companies are still largely concentrated on acquisition-based growth through demos and trials, we’re seeing a shift to focus on the end-user and the metrics that capture how happy they are, because those end-users lead growth. And that’s where customer lifetime value comes in as a business case. It is the ideal way to tie customer loyalty to revenue.

Those end users who are sticking with you are buying more from you (cross-sells and upsells) and they’re telling their friends and colleagues how great you are (referrals). In a sense, they become your virtual sales army. They’re out there warming up leads and sending them to you, so you don’t have to pay to find them

This is the magic we’re going to unlock for you in this comprehensive article. If you want to know how to maximize your bottomline, then improving Customer Lifetime Value is key. And we’re going to explain how it all works, and how you can start using it to get better ROI for your business right now.

Part 1: Making the case for Customer Lifetime Value as the key metric for your customer experience strategy

I don’t know a single company that hasn’t pondered these questions:

  • What resource investment will have the most impact on customer health and revenue growth? 
  • What can (or should) I automate?
  • Should I invest more money into customer experience (CX), customer support, or customer success right now?
  • Should we focus on building this new feature or should we focus on infrastructure improvements that might make our platform more secure or faster, etc.?
  • Should we invest in self-service onboarding to improve the journey for the end user?

The answers to all of these questions lie in Customer Lifetime Value. 

If your business thrives on high-volume sales and high turnover, then you’re probably not a subscription-based business – but you also don’t need to worry so much about customer lifetime value. 

But, if your business would benefit from high-volume sales AND returning customers AND lower acquisition costs, then customer lifetime value is your metric, and you’ve probably got your answers to the above questions. The more you invest in both user experience and customer experience, the less you have to invest in customer support, leading to organic growth and a higher customer lifetime value.

Customer lifetime value isn’t a passive metric – a numerical pat on the back for when you’ve done a “good job.” It’s an active, actionable metric that can be used in a few different ways.

Let’s look at a few different ways to use the Customer Lifetime Value metric:

CLV as Profit Metric

Traditionally, customer lifetime value has been used as a benchmark for whether your business is going well or going under. You look at your CLV/CAC ratio, and if it works out to at least 3 or higher (for every $1 dollar you spend acquiring a customer, you earn at least $3 dollars) you’re in the clear. You could then calculate the CLV/CAC ratio across your marketing channels to determine which are creating the most lifetime value (invest in those more) and which aren’t.

CLV as Customer Persona Builder

Once you start parsing out which clients have the highest customer lifetime value, you can look for what they have in common in terms of demographics, psychographics, user behavior, how they found you, and other characteristics. You can then use those commonalities to create better customer personas so you can go after higher CLV clients with intention.

Predictive CLV

Customer lifetime value can be used to predict the lifetime value of new customers when you examine current behavior and purchase patterns, and then base projected behavior and patterns based on those early indicators. You might already know how to predict churn based on “red flag” customer actions, and this concept is the same but in the opposite direction. You look for retention and upsell-predictive behaviors by reverse engineering what your best customers did at the beginning, middle, and ends of their journeys with you (if they’ve ended!). 

CLV as Key Performance Indicator

Customer lifetime value is a broad KPI of how well you’re serving clients, how valuable your product or service is to them, and how well you’re delivering your solution with the appropriate customer experience. It’s a great North Star metric. You know you’re headed in the right direction as CLV rises. But, you’ll also need metrics that tell you, more granularly, what’s going on and why at each stage of the customer journey. So we also use Customer Journey Metrics like Net Promoter Score, Customer Effort Score, Customer Satisfaction, etc.

Once you start tracking customer lifetime value, you can a lot with it to improve your business – which we’ll get to in Part 3. But for now, let’s look at customer lifetime value as an equation – or really, several equations.

Part 2: Customer Lifetime Value as Equation – how to crack the code of calculating this complicated metric

If you are not mathematically-inclined, I’ll make this as straightforward as possible. 

Customer lifetime value is revenue you expect to receive from a customer over time, less the cost of acquiring and keeping that customer. 

Here it is in equation form:
CLV = (ARPU X average # of months or years retained) – (CAC + CRC) 

People have been refining ways to calculate more accurate CLV ratios for years. What’s so hard? So. many. variables. Here are the basic numbers you’ll need for the CLV calculation for a SaaS business:

Average Monthly Revenue Per Customer (ARPU)

Here are all the different ways customers bring in value in a subscription software business model.

  • Original revenue
  • Renewal revenue
  • Upsell revenue
  • Cross-Sell revenue
  • Referral Revenue

Most calculations only deal with original revenue and renewal revenue, but that doesn’t cover the whole picture. When calculating Average Monthly Revenue Per Customer (ARPU) for our customer lifetime value equation, just remember to account for upsells and cross-sells, not just original revenue and renewal revenue. Referrals take care of themselves — they’ll show up in the customer acquisition cost (CAC) calculation because you’ll see that you’re getting more new customers without spending more on sales & marketing.

You’ll also want to know your CAC because the two are intertwined. Your CLV will increase if you are able to increase revenue from customers while maintaining or lowering your acquisition cost. 

Customer Acquisition Cost (CAC)

How much you spent on sales & marketing in a given time period (learn more about this here)

Divided by…

How many new customers you gained in the same given time period

Customer Retention Cost (CRC)

The cost of serving the customer is often overlooked in CLV calculation. And if your onboarding customer success and/or customer service programs are significant, you definitely want to factor in Customer Retention Cost. Totango, a Wootric integration partner, wrote a whole book on calculating CRC, but a quick estimate looks like this: 

How much you spend to onboard, train and support customers in a given period

Divided by…

How many new customers you gained in the same given time period

Customer lifetime value calculation in non-subscription models

One more way to calculate CLV is through a predictive model that can be highly accurate. This method is common in consumer businesses such as e-commerce. That equation looks like this:

CLV = (Average monthly transactions X Average order value) X Average gross margin X Average Customer Lifespan*

*The average customer lifespan is calculated in months.

Segment Customer Lifetime Value to make it more actionable

Calculating customer lifetime value for your company can be revealing and is a great start to working with this metric.  Like measuring NPS though, it really isn’t actionable until you start segmenting the metric. To make customer lifetime value more actionable and predictive, you’ll want to separate these numbers by customer segment and acquisition channels. That’s when you’ll be able to optimize your acquisition strategies to raise your CLV rates even higher.

Start by looking at customer lifetime value by pricing tier or persona. For example, you may discover that the CLV for enterprise customers is no higher than self-service customers once you factor in the high cost of acquiring and supporting “the big fish.” 

Part 3: The 4 Most Powerful Ways to use Customer Lifetime Value to grow your business

To use CLV as an actionable, predictive, productive metric, you have to segment your users and rank them by their CLV. Then you can look at the data you’ve collected on them – which acquisition channels they came from, what their first interaction was on your website, what their customer journey looked like through onboarding and beyond – to optimize each stage of the customer journey.

And then you can return to customer lifetime value as a ‘big picture’ measurement of your optimization progress. 

Here are three primary ways to use customer lifetime value to optimize acquisition and retention.

1. Optimize your acquisition strategies for CLV – and use CLV to optimize your acquisition strategies.

Your CRM platform should tell you which channels customers came through to find you, and you may notice that your high-CLV customers tend to come from one of those channels over the others. 

One of the most clear-cut stories of how a big company used customer lifetime value to increase profit is IBM. IBM used customer lifetime value to determine the effectiveness of their marketing channels to attract high-spending customers – direct mail, telesales, email, and catalogs per customer (yes, this is an old story – way back in 2008). When they reallocated resources to the best-performing channels, they 10Xed their revenue. 

It’s low-hanging fruit to decide to spend more marketing money on the channels yielding the highest CLV clients. But we can go one step further.

2. You can use your Customer Lifetime Value to create better buyer personas.

Yes, this requires a platform that can gather all of the available information on each customer. But use whatever information you’ve got. You will find that your high CLV customers have a lot in common (though you may need to form segments for the commonalities to clearly emerge). 

Once you have your high CLV buyer personas, you can use them to form marketing, outreach, and retention strategies based on their specific acquisition channels and user behavior through onboarding and retention. 

For example, let’s say that you find that your high CLV clients come to you through G2 or Capterra. And once they reach your site, they don’t just “buy now” – they have at least one interaction with your live chat helpline. Your high CLV customers need a conversation before converting, which means if you tweak your G2 listing or website content answer their questions without having to reach out, you’ll likely see higher conversions from customers who’ll stick around.

3. Use Customer Lifetime Value with Customer Success for higher retention rates & referral revenue

Customer lifetime value and customer success are so intertwined as to be inseparable. Why? Successful customers don’t leave. So, when you want to improve your customer lifetime value, having a customer success program in place is one of the best ways to do it. Customer success asks, at each stage of the customer journey: What is the customer’s ideal outcome, and how can we best move them towards it? Then the customer success team can create strategies around supporting customers at pivotal moments – like places in the onboarding process where customers tend to get frustrated and leave (Customer Effort Score surveys are ideal for flagging these points of friction) or using churn-predictive behaviors to ‘red flag’ certain interactions to receive Customer Support pop-up chats.

4. Use Customer Lifetime Value to obtain more referrals from customers.

Your long-term high CLV customers are your brand ambassadors and influencers, and once you identify them, you can start to leverage that by rewarding and strengthening their connection to your brand. That could be something as simple as inviting them to be part of a free Beta testing group, so they can give you their insights into the next iterations of your product or service, or even just asking them to write an online review. Some businesses host online communities for their best clients, or offer them priority support.

Want an even easier way to identify the customers most likely to refer you to others? Learn how to use NPS surveys to not only find your promoters, but encourage them to promote you more.

5. Use Customer Lifetime Value to guide product design and validate product development decisions at the business level.

Product teams may be removed from revenue goals on the day-to-day, but strategic decisions about where to expend engineering resources should be made with business impact in mind. Product can use CLV to inform what customer segments the product should be designed for.  Building CLV-related goals into user stories or feature specifications can help prioritize the roadmap and provide a success metric for retrospective once the product is out the door. 

Part 4: 10 Ways to Increase & Optimize Your Customer Lifetime Value

  1. Prioritize customer experience above everything else. And don’t just say it; measure it with metrics like Net Promoter Score, Customer Satisfaction, and Customer Effort Score. Calculate and track churn rates and engagement metrics.
  2. Invest in customer success. Customer success drives acquisition, retention, and customer spending (upsells and cross-sells), raising customer lifetime value by helping customers achieve their ideal outcomes.
  3. Invest in UX testing. The data you get from UX testing makes your product easier to use, reducing friction, and making it a must-have tool for your users. 
  4. Pay special attention to onboarding. Churn happens most frequently during or shortly after onboarding, so paying attention to churn-predictive behavior patterns (often identified by a Customer Effort Score survey) in the onboarding process can help you form a strategy to smooth those friction points and find easier ways to move your client towards meaningful success milestones.
  5. Bring product management, customer success, customer support, and marketing together in shared responsibility for metrics. Collaboration between product and customer success is common, but it is a good idea to expand the team because they have so much to gain from working together. For example, with onboarding, product managers need to understand how their tech decisions affect adoption and retention metrics; and customer success teams need to have access to onboarding user data that helps them identify upsell opportunities. Some shared metrics for success include NPS, churn rate, trial conversion rate, adoption rate, and, of course, customer lifetime value.
  6. Use CLV as a segmentation tool.  This allows you to deliver appropriate experiences to customers who are high-value, and who have the potential to become high-value. The appropriate experience might be the level of customer support each segment receives, or the messaging they get throughout their buyer’s journeys. You may also find that each CLV segment has different pain points and needs, which you can target for even higher acquisition and retention rates.
  7. Ask your most loyal customers for support. Following up a positive NPS survey response with an automated request for an online review is simply asking happy customers to follow through on what they just said they’d be willing to do. They’ve already said yes – so make it easy for them to act on promoting you. This won’t directly affect your CLV score, but it will drive down your CAC as the referrals come in.
  8. Keep customers engaged by adding value to your product or service, or through high-value content. If you don’t have substantial updates/improvements/expansions planned for your product, you can keep customers engaged with educational materials–i.e. content that helps them reach their ideal outcomes faster and easier. This has the added benefit of being useful for top-of-funnel marketing as well.
  9. Listen to your customers and act on their feedback.  Voice of customer data is so important for improving products and reducing friction. The only problem is that sentiment analysis at scale can be difficult without the right tools.
  10. Don’t “acquire customers” – build relationships. The customers who stay with you the longest feel like they know you. They feel like you know them. You’ve become an integral part of their daily lives, and they’d miss you if you went away. So consider changing the way you think of acquiring customers. You’re building relationships. And the more personalized and personal you make your customer interactions, the more likely your customers will feel connected to you and committed to your brand.

Maximizing Customer Lifetime Value is really a whole-company effort, requiring a great product, great service, and a deep understanding of your customers’ needs, frustrations, and desires. It’s a ‘big picture’ metric; a North Star number to guide you towards creating better customer experiences. But this one metric can also shed light on valuable segments and strategies that can profitably impact your business. customer lifetime value is a number you can’t afford to ignore.

Three Ways to Deepen Relationships with Your Customers

It’s important for brands to spend time acquiring and then retaining new customers, but it’s just as (if not more) important to find ways to expand relationships with the customers that they already have.

It’s important for brands to spend time acquiring and then retaining new customers, but it’s just as (if not more) important to find ways to expand relationships with the customers that they already have. Today’s conversation focuses on that very theme: how can brands deepen relationships with existing customers to drive better experiences and create a positive impact on the bottom line?

The following three strategies can help organizations achieve deeper relationships with customers:

  • Creating Support Team Consistency
  • Using Formal Relationship Surveys
  • Leveraging Loyalty Programs

Strategy #1: Creating Support Team Consistency

It can be nerve-wracking when a customer submits a complaint, but such complaints can be opportunities for deeper relationships if they’re handled correctly. Make no mistake, brands should prioritize fixing whatever went wrong, but they should also seize the opportunity to do so in a way that makes the customer feel endeared to.

This strategy can only truly work, though, if every support team across the organization is consistent in eliciting those emotions from customers. That’s why it’s important for brands to invest the time and resources necessary for ensuring that all support teams endeavor to identify customer needs, create customized value and benefits, and leave customers feeling both listened to and that they are of high value to a brand. This strategy helps deepen the bond between company and customer (and turns the latter into brand advocates, a company’s best marketers).

Strategy #2: Using Formal Relationship Surveys

Surveys are no longer companies’ only means of acquiring feedback from customers, but that doesn’t mean that brands should forget about them. In fact, relationship surveys remain an invaluable means of acquiring insights-rich data from long-term customers.

While relationship surveys are great for seeing how customers are doing and what they think of a brand, their length and format makes them ideal for another purpose: spotting warning signs that are unique to your business. If enough long-term customers opine about the same problem or broken process, brands can take advantage of yet another opportunity to provide a better experience, create a stronger bottom line, and, of course, let customers know just how important they are to an organization. This is why, even in an age of multimedia feedback and multichannel listening, surveys are still a crucial component of any customer experience (CX) strategy.

Strategy #3: Leveraging Loyalty Programs

This is a big one. Though it hopefully goes without saying, organizations must constantly be vigilant for new ways to entice and reward long-term customers. Loyalty programs are a great way to drum up additional business while also deepening relationships with customers who have shopped with that brand for a while.

Loyalty programs vary wildly from company to company, let alone industry to industry, but brands should generally try to find ways to reward long-term customers with recurring benefits and discounts. More importantly, and to the point of this discussion, they should find imaginative, organic ways to just let those customers know that their business and brand advocacy is deeply appreciated. Gratitude keeps long-term customers coming back for more.

Strategies like these are effective for keeping long-term customers enticed and finding new ways to deepen relationships with those individuals. Juggling support consistency, survey design, and loyalty programs is no small balancing act, but the brands that invest in doing so can strengthen their bottom line and create an ever-better experience for the customers that sustain them.

Want to learn more about customer retention and effective customer recovery? Our webinar on this subject with experts Jim Katzman and David Van Brocklin is now available for you to view for free! You can find it here.

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