Welcome, Guest Login Register
loading...
Net Promoter Community > Richard's and Laura's Blog > Authors > LauraBrooks
 

I recently saw a presentation from ad:tech San Francisco in which the following phrase was used:   "Recommendation is the new advertising."

 

The substantiation for this claim was that 90% of online consumers trust recommendations from people they know more than any other source. This of course starts one to wonder whether advertisers have entered the world of recommendation, in which they can try to influence that recommendation to achieve business benefit.  In considering this trend, I've also noticed that the window from Buy to Advocate in most of the advertising models shows this cycle as very short – meaning once someone makes the decision to buy, they immediately become an advocate.  This may make for an interesting model, but we all know what happens in between buy and advocate: the customer experiences a company’s brand, product, services, support, etc.  And along the way, perceptions are created that either serve to counter that initial buy decision or enhance it.

 

True recommendation comes from a positive feeling created through a multitude of experiences – it is a natural extension of these experiences, not a manipulation. Understanding these experiences – both online and offline – is still vital to any long-term customer strategy. As we know from word-of-mouth analysis, the value of a Promoter is both their lifetime purchase behavior in combination with their positive referral behavior. The combination of the two yields a total customer's worth. And we also know that the value of that referral behavior has exponentially changed through social engagement. Promoters are referring at greater rates across industries. Undeniably, social influence is growing.

 

Social media is opening new, unexplored avenues for influence, and permitting promoters to reach a broader audience than ever before. The social web is a critical channel for understanding the experiences that delight promoters (and mobilize them), gaining strategic insight about core issues being voiced by the market, understanding the influence of both active promoters as well as detractors, and prioritizing action accordingly.  So as you look at your social media strategy, recognize that the total customer experience is a cumulative activity which manifests itself in positive and negative sentiment about your brand, product quality, and value. This sentiment not so surprisingly can translate to a form of social web "promoters" and social web "detractors" which forms the basis for something we call Social NPS. How Social NPS aligns or calibrates to your structured NPS will be the topic of upcoming thought leadership and technology innovation for us. I look forward to your thoughts, comments, and questions.

... more >>
0 Comments Permalink

There is a tendency in most companies to rush to set NPS targets and goals. This usually comes from a very good place. Leaders want to emphasize that customer loyalty is important - I agree, of course - and including it in goals is the signal that most organizations use to let employees know something is important.

 

The challenge comes, however, when you connect NPS to compensation before your program (and your data) has reached an appropriate level of maturity.

 

Target setting is appropriate only when you feel you have trustworthy data. I come back to this issue of trustworthy data a lot, because it is so critical and so often overlooked. If you don’t feel your data is accurate, reliable, and representative of your customer base, then it is very difficult to argue that you will have confidence in setting targets around the Net Promoter Score, or related feedback. For many organizations, making their CRM systems and customer databases accurate, and obtaining feedback from the right customers can take at least 6 months—often longer.

 

Let’s assume you’ve crossed that first chasm of trustworthy data. Then how do you approach the challenge of setting appropriate targets?

 

Below are some approaches that we have used at Satmetrix. Ultimately, the path each company chooses is dependent on the organization’s philosophy about target setting in general. The list below is by no means exhaustive, but it’s a good place to start.

 

Set targets based on improvement goals.

In its most basic implementation, some companies require every group to improve by a similar number of points on the Net Promoter scale -for example a 3 point improvement. Although this seems like an appropriate mechanism there are a couple of challenges with this methodology.

 

First of all, individual business units, stores, or functions that start with low scores will generally improve more than those at the top of the range. A good solution is to ask the top performers to maintain or improve on the margin, while setting more aggressive goals for the bottom scoring units. For example, a businesses with a negative 40 Net Promoter Score might reasonably expect to see a 10 point improvement in a year’s time with appropriate actions are taken, while a businesses with a 70 NPS might only expect a 2 to 3 point improvement.

 

Secondly, if you operate in multiple countries, you will need to consider cultural differences in how customers use numeric rating scales such as the 0 to 10 scale that is the basis of Net Promoter. If you treat all countries and geographies equally, you will be penalizing countries in which we generally see lower averages and ranges for NPS. My group has published reports on this topic that show the ranges for about 40 countries around the world where most global companies do the majority of their business. By comparing with that type of data, you can determine whether, in fact, your country and regional scores are meeting expectations or not relative to cultural norms in each market. If you can get direct competitive benchmarks in each country, even better. But this data gives you a way to level the playing field across many key geographies.

 

Set targets based on historical performance.

While this also seems like an appropriate mechanism, you can imagine scenarios (not uncommon) where the score is declining. Unlikely that you will want to use the "trend" function in excel to set targets when performance is declining.

 

In this case you have several options - you can set the target at the highest score the company or unit has previously achieved, or set goals to move back to that level using a rolling average of some sort.  Either way the message you are sending is that scores must improve.

 

Set targets based on statistically significant improvement.

Although I am a fan of using statistics, as it takes some of the debate out of setting targets, this approach should not be used in a vacuum. We typically apply multiple mechanisms to get to the right targets – start with some reasonable growth goal, ensure it is statistically different from last year’s performance, and consider things like cultural influences.

 

Set targets on improvement or movement in the Net Promoter categories or "buckets".

For example, depending on the distribution of your Promoters, Passives and Detractors, you might consider moving X% of Passives to Promoters, or consider eliminating Detractors (or nearly so). Why I focus on the distribution is that some lucky companies with 2% Detractors would waste time and money trying to solve the Detractor problems, vs. moving your Passives to have more Promoters.

 

Set targets based on the key drivers of Net Promoter.

With this approach,  you are focusing the organization on the "levers" to pull, and key operational actions and KPIs that will ultimately improve the Net Promoter Score, instead of focusing everyone on the score itself.  For some employees, this approach has the advantage of creating specific goals they feel closer to - and can more easily control, such as improving their responsiveness, or thinking of ways to make their organization easier to do business with.

 

These are just a few techniques we have used. I think you can see that setting the right goals is not a "one size fits all" proposition. But when you have trustworthy data and can connect NPS goals to the core business strategy, the customer’s voice can serve as your company’s ultimate rallying cry.

... more >>
2 Comments Permalink

We all know with the New Year upon us that it is time for the annual ritual -- that of the New Year's resolution. How many times have you and I made them only to let them peter out by spring, if not earlier? Well, this year I have made some resolutions and I promise to keep them! As of the January 6, I am already well on my way.

 

The tradition of the New Year's resolution goes all the way back to 153 B.C. Janus, a mythical king of early Rome was placed at the head of the calendar. The Romans named the first month of the year after Janus, the god of beginnings and the guardian of doors and entrances. He was always depicted with two faces, one on the front of his head and one on the back. That way he could look backward and forward at the same time. At midnight on December 31, the Romans imagined Janus looking back at the old year and forward to the new.

 

 

Businesses can also make resolutions through both their short-term and long-term strategies. Think for a second about what resolutions your company could make to your customers. After working with many organizations, I have my short list, and I will start with 3 because we all know if you make too many resolutions they fail. Keep the list short and you have a fighting chance.

 

Resolution 1: I promise not to treat every customer the same.

 

In loyalty lingo this would mean truly understanding the unique experiences that your customers want and desire. Technically speaking, it would also mean that you have developed a good segmentation model that is driving your customer strategy -- taking in to consideration your market, and the strategic value of different types of customers to your business. We discuss this in some detail in the Net Promoter Certification Course, both from the standpoint of your customer economics as well as recruitment and sampling strategies.

 

For B2B businesses this can mean truly understanding the value of different types of accounts to your business and the value of the individuals within that account -- identifying the decision makers, purchase influencers, end users, etc. In a B2C setting, this would mean identifying the unique demographic and psychographic qualities of various segments, or the combination of segments that define groups of customers that have similar expectations.

 

I would argue that many companies today put very little effort into customer segmentation, or have created such a simplistic segmentation model that it is almost useless. Many organizations find it very difficult to create strategies and deliver experiences specifically geared toward a particular customer segment. Most feedback is insufficiently segmented to provide the necessary detail -- so all customer strategies end up looking alike.

 

Resolution 2: I promise to get good information about my customers, once and for all!

 

Cleaning up a customer database is an ongoing exercise, and often an ongoing exercise in frustration. When I discuss trustworthy data in our certification courses, I typically ask the class what percentage of the data in their customer database is accurate and reliable -- on average participants have less than 50% confidence in this data. I did once have a participant say he was 100% confident in his customer database. As a start up they only had 7 customers! But incomplete data is much more common. The most accurate piece of information typically is billing information -- good to be able to collect money from customers, right? But it goes quickly down hill from there. CRM is used for a variety of purposes, from sales, to marketing to billing. Most CRM systems cannot easily handle the varying needs of complex businesses and multiple functions, so they have morphed into something with 3 heads and 10 arms.

 

So how do organizations get a handle on the problematic customer database? Well, unfortunately it takes hard work -- this of course is usually what makes a New Years resolution fail. If it were easy, you wouldn't have to make the resolution in the first place. Many organizations try to resolve the clean up of the customer database centrally. They believe that if they can just get a core team to take the time to clean it up, then everything will be OK. But we know that won't work -- it must be handled in a decentralized fashion. Getting sales, support, and other functions in your organization to take ownership for good customer data it is the only way to fulfill this resolution.

 

Resolution 3: I promise to get all my employees refocused on the customer.

 

At a time when we don't think we can get one more piece of bad news economically, companies need to keep their focus on their workforce. The Society for Human Resource Management (SHRM) in December released a new poll that shows 48 percent of organizations laid-off employees in 2008. Even worse, 60 percent of organizations surveyed said they expect to lay off employees in the next 12 months.

 

While many companies must take these kinds of measures to stay viable, they also need to keep their remaining workforce focused. Reinvestment in your workforce is a long-term strategy -- yes, a resolution that may need to last beyond 2009. Investing in employee training and realigning employee objectives to a customer-focused mission will mean that you can do more with the employees you have. Plus, it will keep them more energized around your organization's long-term goals.

 

Those are my thoughts as we leave 2008 behind and look forward to new opportunities in 2009. What are your company's top customer resolutions for the New Year?

... more >>
2 Comments Permalink

Increasingly, I am asked whether Net Promoter is appropriate for employee surveys. The theory is that loyal employees create loyal customers, which in turn leads to financial benefits. Many people intuitively understand this connection. However, after many years in the employee research world, I realized the employee survey process ranks alongside performance reviews as an exercise in frustration (and futility) for all involved. Poorly run employee programs can have the same unfortunate results as poorly run customer programs -- lack of executive engagement, line ownership, accountability, etc.

 

 

Several companies I am working with today are pursuing the path of Employee Net Promoter Score (ENPS). These companies have been enthusiastic about Net Promoter for customers and believe that applying a similar methodology for employees will generate some great results. Generally (with only minor variation) they are asking, "How likely is it that you would recommend Company X to a friend as a place to work?" In one case, this is all they asked. Why? They wanted the survey to be perceived as dramatically different from their bi-annual 80-question employee opinion survey, which the organization was still trying to process 9 months later. Sound familiar? Their view was that the focused question would be collected more frequently and lend itself to taking a more operational approach for changing employee morale.

 

 

This is new territory for most companies. One customer asked whether I would expect their employee score to be better or worse than their customer NPS. In many examples I've looked at, the ENPS is worse -- by up to 20 Net Promoter points. In one case, the company found that it was highly dependent on the regional leadership within their organization. Why this discrepancy? First, I believe employees who understand the business and customer strategy, as well as how they contribute to that strategy, are assets to improve customer loyalty. However, they also can be your company's biggest critics, holding their employer to an extremely high standard. And why not? Companies promise to be the best places to work, create shareholder value, and create great customer experiences. For most employees, these promises represent the values that should be practiced on a daily basis. To the extent that the practice of these values is at odds with what they observe internally, employees will be less than loyal.

 

 

At the recent Net Promoter Conference in London, Alex Alfonso from Symantec discussed their customer journey through a period of dramatic change and transition as a result of mergers and acquisitions. Throughout these major transitions, Symantec was able to keep their core company values -- innovation, action, trust, and a customer driven philosophy -- intact. Alex articulated Symantec's mission, which was to enable and empower individuals to create change in the business to improve customer experience. The mission brings together two key components, the employee and the customer, in one customer-driven strategy. And they are taking it seriously. Symantec's three key metrics are Net Promoter Score, market share, and Employee Net Promoter Score.

 

 

It will be a growing trend for businesses building Net Promoter programs for customer experience also to understand what "Recommend" means for their employee experience. These experiences are interconnected -- and only by moving toward more customer-focused employee feedback will employee loyalty move out of the human resource function and into the core of the customer experience strategy.

... more >>
12 Comments Permalink

I would like to take a moment to discuss where we've been with the Net Promoter research, and how it fits with the way companies are using and validating Net Promoter Score (NPS) in their businesses. There have been some critics from various corners of the market research world who are doing a poor job explaining what Net Promoter is about, and we recently received a request in the discussion forum to clarify our position -- especially for many of our community members who have not reviewed the original research.

 

 

When Satmetrix (the co-developer of Net Promoter) undertook the challenge of finding the right metric (or metrics) to capture customer loyalty, there were already a myriad of measures being used for that purpose. That lack of standardization diluted the business benefits of customer loyalty programs. In many cases, the numbers being reported were either overly complicated, unbelievable, or not auditable. What's worse, many of these metrics had no proven link to real business outcomes. Then and now, I think most practitioners were looking for the same thing: a metric that would help their organizations focus on the customer. Phrases like "customer centricity" and "cultural transformation" come to mind. But let's be realistic: the focus was not on changing the culture just because it seemed like the right thing to do. Business leaders believed that improved customer focus would contribute to their growth and help them differentiate from competitors.

 

 

So the focus of our original research with Fred Reichheld was to find metrics that link what customers say to what they actually do. That meant that we needed to find a loyalty question (or questions) that would consistently link intentions with customer referrals and purchase behavior at the individual level.

 

Today, I'd like to discuss our first round of Net Promoter research, which targeted customers in six industries. We collected their feedback on a variety of loyalty measures. Six to twelve months later we sent follow-up surveys to these same people to study the linkage between their initial loyalty intentions and their actual behavior. For some of the companies that we studied, we also had the actual purchase histories for customers who had responded. This individual-level analysis proved to be robust in linking the recommend question to actual customer behavior, enabling us to group customers according to their joint loyalty and behavior profiles and create the Net Promoter categorization.

 

 

Ultimately, business value is created one customer at a time, so starting with a focus on customer behavior at the individual level is critical to understanding your NPS economics. Some practitioners and observers have focused exclusively on establishing links at the aggregate level -- for entire industries or large companies that offer products and services in many discrete markets. Decomposing those "aggregations" is key to understanding how NPS links to business outcomes for you in each market where your company competes. For a good example of this, check out the Philips case study, which was presented at our London Conference in June. It shows the linkage to growth in a variety of different business units within Philips, each of which has unique competitive dynamics.

 

 

Some people ask me whether the recommend question was the strongest predictor 100% of the time when we did the research. The plain answer is no. We found this question to be the first or second correlate to individual customer behavior 80% of the time, as mentioned in our whitepapers about the research and in Fred's writings. Should you bother trying to identify promoters and detractors if you find that the recommend question is not the best fit for your business? I would say yes. As an example, read the Enterprise Rent-a-Car case study in The Ultimate Question. It shows how the business processes of the Net Promoter discipline work for identifying and acting on promoters and detractors, and they happen to use a satisfaction ranking to do this.

 

 

While analyzing customer behavior at the individual level was critical to establishing the Net Promoter framework, our long-term goal was to understand how those tendencies linked to profitable growth for companies and their competitors. At the time of the individual-level research, Satmetrix had been tracking a variety of industries using the recommend question, along with many other commonly used loyalty questions. We amassed a large data set (over 150,000 responses) by which to expand the research to a macro-level perspective. We found that Net Promoter demonstrably tracks to growth for most businesses, as explained in The Ultimate Question and other publications.

 

 

But if that were all Net Promoter did, it is doubtful that it would have gained its current momentum in the marketplace. While Net promoter is an important indicator of individual customer tendencies and profitable growth, the real advantage comes with the insight it reveals about how to manage the company as a whole and how to connect employees to customers. Let me highlight what I believe to be the key components of this approach:

 

 

1) Net Promoter is simple but not simplistic. Net Promoter's advantage is that it is easy for everyone to calculate and communicate, from front-line employees to CEOs. Of course, that doesn't mean you can treat Net Promoter Scores simplistically. Some people assume that once they can calculate their NPS, they are well on their way to becoming a loyalty leader. The truth is, you can't correctly calculate your Net Promoter Score until you truly understand your customer base, including who are the right customers to contact, when to contact them, at which touch points, etc.

 

 

2) Net Promoter tracks to growth. Let's not underestimate the value of this core attribute. At the same time, let's not overlook individual customer behavior as the key focal point, especially the value gained by understanding the economics of promoters, passives and detractors. Net Promoter encompasses two key characteristics about your customer: the economic value of a given customer today (as reflected by their individual buying power) as well as their future market worth (including re-purchase referrals to others). We've tracked this finding across multiple industries and can quantify its impact. Your company can do the same. Once you identify the right financial and operational data, you can validate the impact of promoters and detractors -- especially their decisions to spend, renew, and refer. In fact, this is the most powerful information to communicate the potential of NPS to your organizations.

 

 

3) Net Promoter is actionable. Companies that understand these economics can quickly reach decisions about whether they are really attaining "good profits," as Fred Reichheld calls them. Success does not simply come from measuring NPS; it comes from taking action (both at the front line and at the executive level) to improve the customer experience in a repeatable way. Net Promoter data is granular, distributed and actionable. Action comes from nurturing promoters, engaging detractors and moving passives into positive territory. This is not a once-a-year activity, but an ongoing dialogue between customers and employees. The ensuing action will permeate your business and focus your attention on nurturing profitable customer relationships.

 

 

There are many examples on this website of companies that are seeing positive results after applying Net Promoter in their business. Their successes are attracting more businesses to this revolutionary way of measuring and acting on customer loyalty data. Our ongoing research has validated the effectiveness of Net Promoter -- especially when it is implemented as a total customer program. But don't rely on others to prove the point for you. Test it with your own customers, and follow the path that works for your business.

... more >>
7 Comments Permalink

Setting performance targets is a great way to challenge your organization to improve. Setting specific goals that must be completed within an explicit timeframe, then linking these goals to compensation plans, motivates employees to continuously raise the bar on customer loyalty metrics.

 

 

It is all part of a cycle of continuous improvement. However, many organizations that are measuring and managing their Net Promoter scores wonder how to set up the correct targets. They know that setting aggressive targets will keep their organization focused on the top two or three areas that will directly impact that metric. But which targets are the right ones, and how do you execute a complete Net Promoter discipline so you hit the bull's-eye on your Net Promoter scores?

To be meaningful, performance goals should be tied to specific dates and milestones so you can monitor your progress on the path to achieving desired customer loyalty levels. Most organizations set targets on an annual basis, with incremental values cast on a quarterly basis in parallel with standard business reporting deadlines. If this is your approach, make sure your sample sizes sufficiently represent baseline targets (especially for quarterly samples).

 

 

Other customers monitor progress against a three-year roadmap. Sharing the results keeps stakeholders on track and makes organizational goals more concrete. Measuring improvement from the customer viewpoint can link to revenue growth, increased market share, and improved market positioning--intrinsic areas of interest to the people who are looking at targets.

 

 

Ready, Aim . . . Hold Your Fire

 

 

Of course, targets don't always have to be linked to compensation, and it's important not to link customer loyalty to compensation strategies too soon. You must first establish a Net Promoter baseline as a starting point for understanding the drivers of the metric. Typically, most of our customers try to collect at least a year's worth of data (with feedback collected quarterly).

 

 

How do you know if Net Promoter is the right metric for your organization? The telltale sign is this: does it motivate employees to change their behavior? In some cases, the score becomes an end in itself--more important than the improvements that impact that score--which leads to "gaming."

 

 

Creating a metric that employees believe in isn't always easy. Most companies that succeed with Net Promoter keep the communication relatively uncomplicated so that employees understand the objective: having more customers say "good things about you" than "bad things about you."

Cross-functional and regional areas within your company must believe that the metric is the right one for them, and, more importantly, that they know how to improve their scores. This includes all kinds of employees--everyone from senior managers who may eventually be compensated based on the metric to customer-facing employees who have the metric linked to account loyalty.

 

 

In all cases, the metric must be straightforward, easy to calculate and intuitive to employees. In the world of psychology, we call this "face validity," or understanding the metric at face value. You would be surprised at how many organizations use a very complex formula to calculate customer loyalty scores. Many employees don't fully understand how these targets are set, which undermines the main goal of setting targets--to change behavior. You need visibility into the metric, and you should be very clear about how you set your targets.

 

 

Loyalty in the Cross Hairs

 

 

Although many businesses acknowledge the importance of setting customer loyalty targets, selecting the right approach can often be a challenging task. Numerous complex and inter-dependent questions typically arise, as evidenced by the following considerations:

 

 

- When are the baseline metrics sufficiently robust for setting performance goals?
- Who should participate in the performance-based program?
- What percentage of variable compensation should be impacted?
- Should other attributes besides Net Promoter measures be considered?
- What is a reasonable timeframe to expect improvement?
- At what level of the organization should goals be set? 
- What is the appropriate methodology for determining realistic but challenging improvement goals?

 

 

There is no 'one size fits all' approach to setting up these metrics, but reflecting on these questions will help you develop a Net Promoter discipline and metric that is right for you. Various methods are appropriate, depending on the information available, the organizational structure, the culture, the business strategy and the objectives. Remember, integrating loyalty metrics into performance goals and variable compensation takes time. The best strategies evolve gradually.

 

 

In my next blog, I will discuss the potential ways to integrate Net Promoter scores into compensation strategies. In the mean time, please let me know if you have some first-hand experience with these issues or care to comment otherwise.

... more >>
11 Comments Permalink

As we discussed in my last column, The Sound of Silence: Part 1 - Detecting the Signs, it is important to understand which types of customers you most want to hear from. To make sure you hear from them, define a role matrix for your business, which might include decision makers, purchase influencers and end users. Each of these groups plays a different role within your sales process. Before you can make sense of the difference between Promoters and Detractors, you need to know who's who and how they influence your business. For B2B companies, these roles often represent distinct individuals with different viewpoints. For B2C businesses, several roles might be embodied in one respondent -- the consumer.

 

 

Let's give some more thought to how to characterize roles as part of a typical segmentation model. The goal of customer segmentation is to group customers based on common needs so you can approach them with targeted solutions based upon those needs. I won't get sidetracked discussing the importance of developing good customer segmentation models. In this example, we will assume that an appropriate segmentation framework has already been created.

 

 

Let's continue with the example of our B2B Enterprise Software company, which has four types of customers: Enterprise, Mid-market, Small/Medium Business and Consumer. In order to develop an accurate picture of this company's Net Promoter Score, we need to figure out what percentage of each customer segment is represented in the total.

 

Blog2image

 

As you can see in the diagram to the left (click image to enlarge), this B2B company has plotted different customer segments, along with the percentage of respondents they feel they need from each segment. They have rightly understood that Enterprise Accounts are critical to their business: these accounts represent 20 percent of the total customer base and 80 percent of the total revenue.  Because relationships with Enterprise Accounts tend to be complex with many touch points, the percentage of respondents should be high. Remember, we are not talking about everyone in the CRM database. Our role matrix has identified a discrete set of people. As this company looks at its other segments, they realize that the interactions are less complex, which means a particular customer segment can be represented with a lower percentage of total responses.

 

I have depicted this situation very simply in this graph. Clearly you can take any one of these segments and divide them further. For example, not all consumers are in the same segment. That said, the point of this exercise is to:

 

1) Make sure you understand your customer segmentation models
2) Be aware that each segment contains distinct sets of customers with distinct needs
3) Overlay the concept of census vs. sample to help you gauge whether your Net Promoter Score is an accurate reflection of that segment—and ultimately of your business. (See Scott Smith's blog, Easing the Burden, Leveling the Load for more info on this subject.)

 

Perhaps the most important point of this exercise is to understand that not all non-respondents are created equal. A non-response from a CIO at an enterprise account worth $10,000,000 is different from a non-response from a consumer account worth $200. Thus the risk factors are higher: if your largest accounts are underrepresented, you will not have an accurate view of your Net Promoter Score.

 

Which brings us back to our original question: If a customer fails to respond, should you classify them as a Detractor? How do you interpret their silence? The answer depends on who is not responding and the role they represent within your customer base. Is it one of your most valuable customers, as determined by revenue, margin, up-sell potential, tenure, referral power, or any other criteria you care to define? If so, you might want to take a look at Richard Owen's recent blog, The Case of the Missing Executive, to determine how to classify them.

 

Creating your own segmentation model will help you determine whether your Net Promoter Score accurately depicts your business--and whether those silent responses might end up reverberating on your balance sheet.

 

We all have stories about finding and categorizing silent customers. Please reply with your anecdotes so we can learn from your experiences by posting a comment below.

... more >>
2 Comments Permalink

Many of our customers ask me how they should treat non-respondents from their customer experience management (CEM) solutions. I call this the sound of silence. But how do you identify if that silence is meaningful to your business?

 

 

In the research world we often refer to this phenomenon as non-response bias. Some researchers have reported that people who respond to surveys answer questions differently than people who do not. All that is well and good, but we need to dive a little deeper. Classifying people in the business world (particularly within B2B businesses) as respondents vs. non-respondents is not quite granular enough because different types of individuals have different roles to play within your sales process. Clearly, Net Promoter Scores help you gauge your success and ultimately drive growth for your firm. But before you can make sense of the difference between Promoters and Detractors, you need to know who's who and what type of influence they have on your business.

 

 

To understand why this is so important, I'd like to suggest a scenario, in three easy steps.

 

 

Step 1 - First, let's imagine that you have a fully stocked database of customers. Perhaps your sales team has helped create and refine this database over time, and that team is responsible for periodically "blessing" the information. That's important, because you are counting on the accuracy of this data to make good business decisions about your customers--and not just any customers, but your most profitable ones.

 

 

Once you examine the data more closely, you discover that you obtained many "bounced" responses when you tried to solicit feedback. You also uncovered plenty of bad email syntax, and you learned that some of the people you have been contacting have changed jobs, which means they no longer occupy the roles you thought they occupied. These are the first signs that something is awry. Many of you know the story: just because you have a CRM database doesn't mean it's accurate.

 

 

Step 1 is simple: can you trust the data? If the answer is no, go to step 2.

 

 

Step 2 - Now it's time to take charge. You tell the CEO that you can't get accurate data from the CRM database. This helps you gain the cooperation of Sales Leaders and Executives, Regional Managers, and Country Managers, who offer to help clean up the data. But it takes a lot of work. Either you can start from scratch and bypass the CRM database, or you can spend laborious hours asking people to clean it up. However, everybody is looking to you to tell them which customer names should and shouldn't be "in." However you do it, you successfully navigate step 2 by garnering corporate buy-in (no small feat) and plunge ahead to step 3.

 

 

Step 3 - Now comes the fun part: determining which customers matter most to your business. This is one of the most critical ways to obtain reliable, accurate feedback from your CEM system, yet it is often overlooked because it is assumed that individuals wouldn't be in the customer database if they weren't good customers. But remember, CRM databases are commonly used for prospecting, contact management and many types of marketing activities. In short, not every one of the contacts has a perspective that is meaningful to the business.

 

 

Let's say you work for an enterprise software company in the B2B space that primarily targets CIOs. On a day-to-day basis, most of these CIOs don't pay attention to the ins and outs of the software implementation process, let alone all the hard work your Account Team is doing on their behalf. However, many of these CIOs do value the business relationship you've established with them. They see you are a trusted advisor that helps you meet their business objectives.

 

 

Meanwhile, there are many other people who work for these CIOs who are intimately familiar with your product. They can tell you about the success of the implementation, about meeting required service levels, and about how your solutions are integrated with their businesses.

 

 

Finally, there are individual contributors (sometimes called end-users), who may not be tuned in to the subtle nuances of the actual implementation, but who definitely have a sense of the end result—such as whether or not your software helps them do their jobs.

 

 

You've now identified three main types of customer relationships, or roles, each of which has a different perspective on your business. How many people within each role should you select to represent that role when you sample your customer base? That all depends on your business. You can strive for one (which is of course true at the CIO level) or more. Either way, you need to establish a model that makes sense with respect to your marketing and sales strategies, and communicate that model to the sales organization. This will establish a context by which you can obtain feedback, and ultimately make sense out of your Net Promoter Scores.

 

 

In my next blog, I will address how to apply a role matrix according to designated customer segments. For example, is it important to apply some logic around big accounts (enterprise), medium accounts (mid-market) and small accounts? How will this affect your view of non-respondents?

 

 

If you have insight into these issues, we would love to hear from you. Silent respondents need not apply. In the mean time, stay tuned for more information that will help you succeed with your CEM and Net Promoter initiatives.

... more >>
2 Comments Permalink
Richard Owen's and Laura Brooks' Blog

loading...

Actions