Plotting Your Way To Super Loyalty

Anyone who has ever taken a business or economics course will attest to the fondness of academics for a 2×2 matrix. Put one variable on the X axis, another on the Y, and presto – all manner of phenomenon can be explained. It’s a clarifying and therefore tempting tool – and can be applied to customer experience marketing, too. For example, Stan Phelps refers to a “Value / Maintenance Matrix” in his Marketing Lagniappe blogs (http://bit.ly/n6jN1h). The coveted second quadrant is populated by customers who are high value and low maintenance. This reminded me of the Loyalty Model I developed last year, which plots customers by their lifetime value and strength of loyalty.

According to the research I directed (http://bit.ly/oDzXg8), 89 percent of customers will say they are loyal, but only 29 percent of those customers then add that they would remain loyal after a bad experience with a company. And when it comes to what they do in practice, only 10 percent say they remained loyal after actually having a bad experience. In other words, 9 out of 10 customers who see themselves as loyal are not willing to give companies a second chance when there is a problem. Loyalty needs to be earned constantly, in every interaction—and it can evaporate with one bad experience.

Customers are not all alike, of course, and the research found that they can actually be
plotted into a 2×2 matrix based on their degree of loyalty, or how likely they are to stay with a company, and their value to the organization. When these factors are plotted, customers fall into four distinct segments (see diagram):

  • Critics: Customers who are low-value, and demonstrate low levels of loyalty. They may need something the company provides, but may not be satisfied with the customer experience. Often, they are more than willing to leave whenever an alternative is available.
  • Lock-Ins: Customers who are low-value, with moderate to high levels of loyalty. They typically stay with a company for some time, but they don’t spend much. They may be relatively satisfied, or they may be locked in through a contractual relationship or because of the costs of switching from one organization to another. But companies are not getting is a share of their heart or enthusiasm.
  • Drop-Ins: Customers who are relatively high-value, but also relatively fickle. They may actually be making significant purchases from the company, but will easily move to a competitor. They may be very valuable customers, but they are not valuable just to you.
  • Advocates: The 15 percent of customers who are high value “super loyalists.” This group does in fact behave the way companies traditionally expect loyal customers to behave. Compared to the other 85 percent of consumers, Advocates tend to make more frequent purchases of a company’s products or services, recommend the company to friends and family, and avoid shopping at competitor companies. Advocates are 22 percent more likely to purchase bundled products, 28 percent more likely to anticipate increased spending with the company in the near future, and 25 percent more receptive to information about new or upgraded products.Loyalty Model

Advocates as a group are valuable in their own right. But they also hold the key to new customer experience strategies that can drive increased customer loyalty across the customer base. Advocates expect superior service, such as easy access to live agents, and generally respond with increased spend. Additionally, Advocates tend to be more open than others to proactive communications. You can learn from their service, product and rewards preferences in order to design programs that fit the needs and value of the other segments. Well-designed segmented programs can migrate other customers towards Quadrant 2, turning them into Advocates with greater loyalty and value.

The Loyalty Model encourages companies to provide the right differentiated service
to different segments according to their value and stickiness. Building on this kind of foundation, companies can continuously hone the customer experience. Staying in step with your best, super-loyal customers, and learning from them, will be key to keeping customers and building lasting, profitable relationships. Not a bad result from a little structured thinking!

For more information about the Loyalty Model and Advocates, visit http://www.cvgresearch.com and then go to the “Downloads” page. Locate the White Paper called, ” Cultivating Super Loyalty,” which is in the “miscellaneous downloads” section under “2010 Executive Briefings”.

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About Lorena Harris

Lorena Harris has more than 20 years of marketing leadership experience with large business service companies. Her expertise is in designing research-based content marketing programs for brand building and demand generation. Since earning her MBA from Duke, Lorena has built revenue-generating marketing programs for $B+ B2B service companies such as Fiserv, First Data and Vantiv (financial services), ADP (employee benefit services), Convergys (contact center services) and Donnelly (publishing services). More information available on linkedin.com/in/lorenaharris.
This entry was posted in B2B Marketing, Customer Experience Research, Customer Loyalty, Customer Segmentation and tagged , , , . Bookmark the permalink.

3 Responses to Plotting Your Way To Super Loyalty

  1. Lorena,

    Excellent post! I would like to ask you though to clarify an apparent contradiction between your suggestion to apply differentiated service levels and to extend a top level of super-loyalist service to other groups in an effort to expand them.

    • Thanks for asking about segmentation approaches. I would only recommend testing “advocate-level customer service” on segments just outside the quadrant who might be nudged into super-loyalty. Other groups should have differentiated service levels based on their value and demonstrated loyalty.

  2. Telmar says:

    Great blog post – both informative and enjoyable to read! Seems like people are always seeking the right tools for the particular job, and customer segmentation analysis is no different. There are many avenues of help to explore, and good research will guide you as to what is best to put in your own tool box.

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