eBook: Customer Experience Measurement

This eBook explores methodologies and approaches for measuring customer experience in multi-location businesses. We look at pros and cons based on our experience with hundreds of client programs that address the needs of large and complex Fortune 10 brands with thousands of locations, to emerging brands with 100 or fewer locations.




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The Future of CX: Identifying and Driving Financial ROI

The customer experience industry is evolving, and with it, a need to evolve the approach to helping organizations protect their brands, delight customers and make more money. The days of simply putting in measurement systems and reporting on results just don’t deliver enough value.  Best-in-class organizations are leveraging multiple customer experience measures, including mystery shopping, customer surveys, contact center services, and social media review tracking, among others. In addition, those same industry-leading companies are integrating these measures and linking them to financial performance at the location level. Market Force refers to this approach as “Better Together” and it remains a key differentiator of our approach. With these integrated measures, multi-location businesses are then able to apply analytics and location segmentation to figure out exactly what to do and where to invest in CX for the highest ROI. Forrester recognized Market Force Information in 2107 as a Break Out Vendor for these kinds of capabilities.

A case in point is one of Market Force’s fast casual clients. They had a dilemma. Although the majority of their stores were seeing positive comps, 31% were seeing negative sales trends. The chain wanted to understand how they could increase same-store sales growth across the system. They collected mystery shopping, customer surveys and provided their customers with a guest recovery contact center service.  Our PhD statisticians and data scientists linked those results to same-store sales and growth by store to develop what we refer to as a “Criticality Index,” that short list of attributes or behaviors that when executed, in combination, drives the KPI in question, in this case, same-store sales.

Using different measures of CX gave a fuller picture of the drivers that impacted financial performance. Interestingly, this brand’s Criticality Index showed that there was one unique driver across each of the three measurement methods. Mystery shopping highlighted speed of service and whether a store delivered food within the pre-defined time frame. Customer surveys uncovered a driver of how often a store received a top box score for food quality according to guest feedback. The contact center driver was connected to the store’s ability to minimize the number of guests that called to complain about food quality. So the analysis showed that food quality and speed of service were most important to guests. It was not location, cleanliness, staff interaction issues, or the plethora of other issues that a store needs to consider. It was not to say they weren’t important, it was just that they did not specifically contribute to same store sales growth based on the model that was developed with their CX data.

What was most important for this analysis was the store segmentation work that accompanied the insight. The analysis showed that stores that executed at a high level on all three had 7% greater same-store sales growth than those that did not. Bear in mind, that the stores in the upper quadrant weren’t perfect.  They didn’t get perfect mystery shop scores and not every guest survey was a home run. The key is that this brand was given specific attributes on which to focus that were shown to drive sales a statistically significant level.

To further emphasize the value of these attributes, these measures were communicated to the field and performance on them was tracked.  What was most compelling about the insight was that for those stores that worked the hardest on these qualities and drove improvement, their same-store sales growth was 11% higher than those stores that did not. Now that is CX insight that you can take to the bank! The key to any good CX program is that it helps a business  i) understand what matters most to guests, ii) identify where gaps exist, and iii) determine the financial ROI of driving change. Click below to learn how we are helping companies do just that.

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Brad Christian is the Chief Customer Officer at Market Force and has been with the company for 12 years consulting with leading brands on how best to implement customer experience programs that provide insight into strategic investment decision-making that helps them protect their brands, delight their customers and make more money. 


Hospitality Technology magazine

5 December 2017—According to a new study by Market Force, which polled  nearly 8,000 consumers, tablets are failing to enhance the dining experience, Yelp continues to greatly influences casual dining restaurant choices over restaurant branded mobile apps, and guests are primarily using mobile apps to check menus.  

Date: Tuesday, December 5, 2017

Harnessing the Explosion of Data in a SaaS World

We all know how important data is to any business. In today’s world we are collecting and storing more data than ever before. In fact, in the last two years we have generated 90% of the world’s data.

This has been fuelled by the breakneck speed of the technology sector. Innovative startups and a highly competitive landscape constantly driving new and exciting technologies—all leading to the data explosion we see today. This pace however, has had a flip side; In order to keep pace businesses have welcomed the Software as a Service (SaaS) model from many, if not all, of their third-party technology providers. The result? Data silos. Data silos have never been more prevalent within businesses than they are today with the problem further exacerbated by both the multiple formats the data is stored in (structured, unstructured) and the multiple databases we are storing this data in (SQL, NoSql, NewSql).

These silos are preventing many businesses from unlocking the true power of their data. Analytics and machine learning algorithms are more powerful than ever before, offering the savvy business unparalleled insights into their customers, strategies and financial levers. What are these insights and levers? The businesses leading this analytical revolution are able to answer questions and manage strategic decisions predictively; If I improve on this metric (whether CX or operational) my YoY sales will increase by X%. At a brand level this is an important tool, but what if I told you that you probably already hold the data to understand this at the location level. Building, evolving and growing a successful business is ensuring you are focusing on:

  • What matter’s most?
  • Where are the opportunities?
  • What is the ROI?

The data many businesses already collect and hold whether internally or with third-party SaaS providers already holds the answers to these questions. Don’t look horizontally, look forwards, unlock the power of the data you have and join the businesses at the forefront of the data revolution.

At Market Force Information we strategically partner with our clients to not just collect data but to bring it together onto our integrated data and reporting platform KnowledgeForce®. KnowledgeForce disseminates information in real time throughout our clients’ businesses ensuring teams are focused on what matters most — business success is measured in ROI, not NPS® (Net Promoter Scores).

To learn more about how are we are helping businesses harness the power of their data, schedule a briefing below.

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Zachary Faruque is Vice President of Client Strategy in Market Force’s UK office and serves and consults our European client base.

5 Best Practices for CX Success

Having worked in the CX space for 14 years across a variety of multi-location brands, I have seen a common thread in customer experience programs that are successful in improving customer satisfaction and driving business results. Not coincidentally, these programs follow recommended best practices:

  1. Strategy: The program is aligned to strategic objectives
  2. Multiple Lenses: Various performance measures (mystery shop, audits, customer surveys, employee surveys, etc.) are used to provide an understanding of location-level and brand performance
  3. Predicative Analytics: Data modeling is employed to identify what matters most to customers
  4. Technology Reporting: Tech stacks are simplified and amplified by integrating multiple performance measures and internal data into a single platform
  5. Accountability: Key stakeholders are responsible for both monitoring and taking action on program results

Many times—after much time and money is spent on strategy development, launching services and technology—there are shortfalls in setting accountability and taking action on results. The fifth best practice is often the hardest.

Assign ownership and accountability  An essential component of any measurement program is establishing who has responsibility for monitoring and taking action on results. Just having a metric in place won’t make your customers more satisfied, and it won’t make your business magically improve. As we have often seen, just knowing the score does not change the score. You have to be purposeful in assigning ownership and accountability for results.   

In setting accountability, we have found that organizations that communicate the “Ws” (and one “H”) perform best in driving true business performance improvement:

  • Establish and document who is accountable for monitoring the results
  • Tell them the why behind your CX program, so they understand the mission and goals of the program and the organization
  • Explain how satisfaction is factored into various corporate objectives as well as MBOs and WIGs
  • Tell them what they should be doing with results,
  • Teach them where results can be found,
  • Define when they should be reviewing results and taking action

Monitor results  Whatever you chose as your satisfaction metric, you will have a score. Knowing your score is good, but the score isn’t actually the be-all end-all. You need to understand how your score changes over time. Is customer satisfaction improving or declining?  Is a low score one month just a blip on the radar, or, is there a downward trend in customer satisfaction? In either case, what is driving that change in score? Does your program help you understand that?  

Understand what impacts customer satisfaction  A key success factor to improving customer satisfaction is your ability to identify the things that are most important to your customer’s satisfaction. This may take a bit of work, and you may not have an in-house analyst who can model your data. Your CX partner should be able to provide these insights to you. It is well worth the investment to know which behaviors are most impactful to your customers’ satisfaction. 

Take action  Once you know the behaviors that result in delighted customers, look back at your performance to understand how you are doing in those areas, and take action – train your employees, create incentive plans, hold store staff accountable, and change policies that don’t work for customers—to gain improvements. 

The process doesn’t stop; keep monitoring results and taking action. Customer satisfaction isn’t a one and done proposition. You have to be dedicated to making it an integral part of your business. Lucky for you there are proven best practices for success.

If you would like to learn more about these best practices and how industry-leading organizations are leveraging them to drive improvements in their business, please click here for more information on a powerful decision support system called Success Playbook.

  Success Playbook

Alicia Picard is a Senior Strategy Director and has been with Market Force for 14 years.  She consults with clients across a variety of industries to help them protect their brands, delight customers and make more money.  

Creating a CX Measurement Program That Works: It’s Not About the Score!

A Common Mistake—Focusing on the Wrong Target

When I was a franchise operator, the franchisor was excited about creating a successful new CX survey program. After using the system for a few months, the executives reviewed their progress and identified five key drivers of satisfaction. They believed that if all of their locations would focus on the five drivers, CX scores and revenues would naturally increase. They were so confident this would happen that they decided to set a target score and incentivize the employees so they would hit the target. The incentive was a $.25 per hour raise for every month their restaurant hit the target score.

The program was a success…kind of…well, not really. Yes, all of the locations hit or exceeded the target score and received a $.25 per hour increase in pay (which is highly unlikely and should have raised red flags for all of us).

Determining the drivers. What we should have been doing was figuring out exactly what factors needed to change to deliver an excellent customer experience. We should have been tying both the operational measures that we had collected through either audits or mystery shops and aligned that with what our customers had to say about us via our survey program. This is no trivial exercise. It requires a specific modeling process to understand the linkages between behaviors and perceptions. We just didn’t have the Ph.D. statisticians and data scientists on staff that could help us draw those conclusions—the specific on-site behaviors, that when executed in combination, drive the highest levels of overall satisfaction with our customers—or delighting them.

Tying to financials. My new firm, Market Force Information, leverages just this type of talent and modeling process to help brands understand three things, i) what matters most to its clients' customers, ii) where operational deficiencies exist, and iii) what the specific financial ROI would be for implementing various targeted improvements. This is made possible by incorporating financial measures in the analysis such as same store sales or same store sales growth. It is this kind of analytics that truly provide the strategic insight required to make sound business decisions as to which stores to invest in and what focus that investment should take. I would have loved to have had this available to us.

Focusing on the score. In the case of my company, the big mistake we made was to focus on just the score as opposed to focusing on the behaviors that drove the score. Understanding the importance of "please" and "thank you" or what the specific speed of service needed to be in order to avoid frustrating customers is critical to charting what matters and focusing action plans on how to address them.

Gaming the system. As a result, by incentivizing the employees based on achieving a score, the goal changed from “delivering an amazing customer experience” to “gaming the system so they can make more money.” (Yes, we have seen instances where staff or friends of staff filled out favorable surveys.)

Measuring execution objectively. In order to minimize the problem of gaming the system and to ensure that the survey data that you collect is accurate, you need sufficient fraud protection and detection capabilities as well as other measures of restaurant performance besides just a survey. Having other measures like social media review tracking or mystery shopping ensures that you are getting a much more holistic view of the customer experience. These measures can be aligned with your survey scores to provide assurances that what you are learning in your survey is factual. 

Measuring to improve each location. By leveraging multiple measures and reporting on each key behavior uncovered in the analytics objectively, you’ll be able to see exactly what a restaurant needs to improve upon. All restaurants are not equal. Typically a handful of restaurants consistently execute at a high level, while others are abysmal and reflect poorly on the brand, and most are somewhere in the middle. The challenge is let each location know exactly where they need to improve.

Does this make sense? In the case of my company, it would have been immediately apparent that something was awry if the higher scores did not translate into increased revenues. Our analytics practice has repeatedly seen clear correlations between high scores on both surveys and mystery shops and increased same-store sales performance.

A better way. My learning here was that we should have focused on behaviors instead of scores. In upcoming posts I will offer up exactly how brands can focus on those behaviors that drive change, as well as how to effectively drive change down to the individual restaurant level.

Learn about our Analytics

Troy Mott is a Director of Sales at Market Force and works with restaurant clients to help them understand what matters most to their customers, where they have operational gaps in execution and what specific financial ROI can be derived by implementing specific initiatives.  His experience in working in restaurants and with restaurant executives makes him a sought after resource for operations measurement, customer experience and growth initiatives.

Empower Your Auditors with Eyes:On Mobile App

The Eyes:OnTM mobile app allows your auditors to complete questionnaires with their Android and iOS smartphones and tablets. Geo-location and geo-fencing technologies help auditors easily link to the sites they are evaluating, and auditors can complete their work offline even if connectivity drops. Need photos? Users can attach photographs to questionnaires from their smart phones. 

With just a few clicks, your staff can complete audits and upload directly to the KnowledgeForce® reporting platform. Audits become an additional datastream sitting alongside other brand and location level data like mystery shops, customer surveys, contact center, and social media.

Breakthroughs in Modeling Customer Loyalty: Machine Learning

In February, Forrester Research released its report titled “The Forrester Wave™: Insights Service Providers Q1 2017 | Leaders Emerge in a Nascent Insights Services Market” written by Jennifer Belissent, PhD and Elizabeth Cullen. Forrester included Market Force Information® as a domain-specific insights provider in their consolidated vendor landscape. A graphic from this report calls out Market Force in an ecosystem of industry-specific, domain-specific, and broad insights service provider. We are very proud to be recognized for our innovations in linking customer experience metrics to financial ROI, and a joint video with Forrester presents case studies giving examples of how we do that.

I am one of the data scientists on the Market Force analytics team driving insights innovations in the CX space. We’ve been addressing a thorny modeling issue related to collinearity. Collinearity is a statistical phenomenon in which two (or more) explanatory variables are highly correlated, meaning that one can predict the other. For example, in the retail space, the predictors—associate helpfulness and associate friendliness—can predict customer satisfaction, but they can also predict each other. This creates a situation where the behaviors share explanatory power of customer satisfaction, creating redundancy and causing significant issues with predictors, including their perceived impact on customer satisfaction and the deterioration of integrity within the modeling process.

The presence of collinearity in customer experience data can negatively affect the quality of predictive models and may lead to incorrect or incomplete insights. That means that when those insights are converted to business initiatives, there is potential to focus on the wrong things. The hard work put in by managers and operators will not have the predicted impact. This sounds dismal for multi-location businesses, but innovations in statistics and machine learning have brought predictive modeling techniques to the market that mitigate the impact of collinearity.

Enter LASSO (least absolute shrinkage and selection operator) and ridge regressions. These techniques are machine learning linear regression models that use sophisticated computation analysis to control collinearity and produce the most predictive models possible. The two modeling techniques, each presenting its own unique solution to collinearity, work by computing tens of thousands of algorithmic operations to determine the most predictive combination of coefficients, or weighting, to be applied to each predictor. Both modeling techniques remove collinearity through shrinking the weighting of variables and eliminating the redundant explanatory power of collinear predictors.

In preliminary tests using these machine-learning techniques, Market Force Information has discovered that model predictiveness increases by as much as 10%.  The integration of these sophisticated models has increased the ability to generalize findings and predict future outcomes. This results in clear and productive direction to our clients on where they should focus to improve the customer experience, increase revenue, and reduce costs.

If you would like to discuss how we can help you leverage your CX data to link to a financial ROI, please schedule a briefing or call us at 1-877-329-9621 and we will be glad to discuss!

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Aaron Zelmanow is Senior Data Scientist at Market Force Information with a Master's in Statistics and a background in business operations and finance. Specializing in the retail industry, Aaron provides analytics and actionable insights for clients to maximize customer satisfaction and increase their bottom-line revenue.

Insights Top the Data Value Chain

In a Forrester Research article authored by Jennifer Belissent, PhD, Forrester, the author defines insights services in this way:

"Insights services combine internal and external data sourcing and advanced analytics to deliver actionable business insights that clients subscribe to and apply to specific functional or verticalbusiness use cases."

                      —Insights Services Disrupt The Data And Analytics Market, February 8, 2016

She goes on to describe the data value chain, with four major components:

  • Data management: Collect and store
  • Data governance: Clean and secure
  • Data analytics: Discover and analyze
  • Insights delivery: Act and automate

The research concludes that while companies invest in data management and governance, they too often neglect the last two components—understanding what the data say and acting on it.

We have first-hand experience with this phenomenon at Market Force. Brands spend a great deal of time and money ensuring their customer experience (CX) data has high integrity, is clean and well-secured, and can be properly accessed. However, brands too often choose to minimize their investment in analytics and insights—either using internal or external resources. This is a critical mistake.

When brands choose not to invest in proper analytics and change management tools, they create four critical challenges for their organization:

  1. Customers will assume that the brand is not listening to their perspective, resulting in an erosion of trust and good faith.
  2. The people who can drive change lack the information and tools to actually execute change. Scores will begin to stagnate.
  3. Given the lack of information, operators will assume or invent actions that they should take—and they may or may not be the right ones. Scores won’t change and they may consider their efforts futile or question the integrity of the data.
  4. Executives will begin to question their investment in CX data collection—and will inevitably cut the budget. What should have been a brand imperative will experience an untimely death.

This cycle occurs far too often. To ensure that your brand can leverage the ROI of its data investment, you must invest in data scientists and other analysts who can surface meaningful insights that can be translated into real actions with tangible ROI. Do not neglect this most important part of the data value chain. Instead, make this the bright line of excellence for your program.

LEARN MORE about Market Force's analytics and insights methodologies, and then schedule a briefing. We’d be glad to walk you through methods and proof points.

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As Chief Strategy Officer, Cheryl aligns Market Force's strategic direction with our clients' strategic objectives. She oversees the North American client base, Analytics and Insights, Winnipeg Operations and Marketing. She has a Ph.D. in social psychology and broad business experience in both private and public companies.​

Eyes:On – Personal perception

Market Force continuously evolves its product set to meet the needs of our clients. One of those needs is providing an easy way for our clients’ internal teams to compile and report audits. We have just released our new Eyes:On audit app, a tool that saves auditors time and make data more tangible.

I am privileged to work with a Market Force client in the retail industry with over 900 locations here in the UK. This client has implemented the Eyes:On app, going from an internal audit tool that could only be completed via desktop to a fully functional app on mobile and tablet devices. Being able to complete an audit with mobile technology—but not requiring a connection to complete a report while in the field—has improved productivity. This has been extremely useful for them as auditors would sometimes have no or limited connectivity. To make matters more complex, auditors had to rely on notes completed after the visit, making it more likely results would be inaccurate. With the app, auditors fill out information real time. Our client says the app has helped them reduce costs by reducing man hours and improving quality. Instead of spending hours filling in documents, teams can focus on what the data actually say.

There has been another benefit to consolidating the audit information: The audit data has really helped my client improve their mystery shopping scores by being firm but fair on their internal visits as they now have two sources of data pointing towards similar results—all consolidated in one place. This is the perfect opportunity to coach operators and franchisees with useful information that will help them improve their stores.

Finally, our client now uses the app to collect additional information, like presence of POS materials and checks on inventory. That has prevented them from over-ordering and reduces the risk of waste.

The feedback we have received from all members of staff that use the app has been phenomenal: They find it user-friendly and a great tool. Our client has been more than pleased with how the app has helped them improve their business!

To learn more about Market Force’s Eyes:On app for auditors, download the data sheet or schedule a briefing with one of our sales representatives. We’d love to give you a demo!

Ross Lloyd is a Market Force account manager in London, working on building and maintaining relationships with clients, including making sure Market Force is strategically aligned with clients' goals and objectives.


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To discuss your needs for improving performance for your multi-location brand, give us a call. We’d be happy to discuss best practices for measuring the customer experience and compliance to brand standards, using analytics to understand what matters most and the ROI for change, and technology solutions that integrate large quantities of data on one single platform. We look forward to a great discussion!

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