Much of what I've learned over the years about sales, marketing and customer service has to do with the critical importance of customer data, and how those data are converted to actionable insights. It's how companies generate the right customer data, manage and share data the right way, and use it at the right time. It's also how they use data to the best effect, to optimize loyalty and profitability, that makes them successful, or not, on an individual customer basis. Culture, leadership, and systems will facilitate effective information gathering, storage and application; and, CRM, CEM, ERP, or other acronyms notwithstanding, it's impossible to be successful without having as much relevant anecdotal and dimensional content about customers as possible.
About 30 years ago, Paul Simon wrote a song entitled "One-Trick Pony." The song describes a performing pony that has learned only one trick, and he succeeds or fails with the audience based on how well he executes it. As Simon conveys in the lyrics: "He's got one trick to last a lifetime. It's the principal source of his revenue."
A couple of years ago, our local newspaper, The Philadelphia Inquirer, ran a disturbing story about how a mortgage loan company in Phoenix had sent spam advertising messages which appeared on the screens of thousands of wireless phone customers. Not only were the messages not requested, but these customers had to pay to retrieve them.
Stating that all customers are not created equal is hardly an oversimplification. But, just like the pigs in Orwell's "Animal Farm," some customers are more equal than others. No company has unlimited resources to equally service or support all its customers. Repeat buying power, the essence of customer loyalty, is everything. Some customers are worth a great deal, some may become more valuable over time, some may be valuable for a brief period but may be easily lured away, and some are never likely to become valuable.
We’ve all witnessed how impaired corporate or brand image can undermine both consumer trust and financial performance. Recently, Target’s CEO was relieved of his duties because of the massive customer account security breach which occurred during his watch. The poster child of negative reputation, at least in the U.S., has been British Petroleum. BP’s then-president of U.S. operations was forced from office because of some ill-conceived and dismissive language, and BP’s corporate behavior since the Gulf of Mexico oil disaster has been of little help in image recovery.
With a serving concept originally generated about four years ago, and then intensively beta-tested, Starbucks has begun rolling out its new drink and munchies menu, serving beer, wine and its version of bar food to thousands of locations. The new wrinkle, called "Starbucks Evenings," has been thoroughly designed and cascaded into key markets; and alcoholic beverages will be served only in locations where demand is expected to be—high.
A recent Forbesarticle by McKinsey, "Making Loyalty Pay: Six Lessons From the Innovators," showed loyalty program participation has steadily increased during the past five years (a 10 percent annual rate of growth), with the average household now having almost 25 memberships. For all of that growing popularity, there are huge questions for marketers: Are the programs contributing to increased sales? And what is the impact of loyalty programs on enterprise profitability?
On a recent "Real Time With Bill Maher" show, Maher responded to the announcement that Time Warner Cable would merge with Comcast Corp. in a $45 billion purchase. He noted that, combined, the two cable systems represent 19 of the 20 largest U.S. markets; and, apart from suppliers like Dish and DirecTV, they have no competitors in these metros. Further, Maher said, the two companies have the lowest customer satisfaction ratings of any cable system. So, as he asked his panelists, where is the value for customers in this merger if both companies are known to have questionable service performance?
In building relationships with and value for customers, my longtime observation is most organizations tend to progress through several stages of performance: customer awareness, customer sensitivity, customer focus and customer obsession. Here is the "executive summary" version of some conditions of each stage.
The paper avalanche begins at my home in South Jersey. It's January, and along with the cold, snow and wind—plus post-holiday bills—comes the inevitable volume of bank credit card offers. Hooray! Yesterday's mail represented the normal credit card promotional mini-avalanche: five offers—two from national banks, and three from major regionals. In reviewing the promotions, they are pretty typical, pretty similar in positioning and messaging, and all pretty much hit several of the following, non-personalized, push offer components:
Without fear of (much) argument, it's a fair statement to say that all companies want, and try to generate and achieve, optimum loyalty from their customer bases. They should want this, because study after study shows the financial rewards of having loyal customers. Some companies reach this goal through superior value delivery, built on quality products and services, and positive, consistent customer experiences. For the past several decades, many companies have relied on customer loyalty cards or programs, by which they can track purchase behavior and give rewards for repeat and volume buying activity.
More than a buzzword, "being human," especially in brand-building and leveraging customer relationships, has become a buzz-phrase or buzz-concept. But, there is little that is new or trailblazing in this idea. To understand customers, the enterprise needs to think in human, emotional terms. To make the brand or company more attractive, and have more impact on customer decision-making, there must be an emphasis on creating more perceived value and more personalization. Much of this is, culturally, operationally, and from a communications perspective, what we have been describing as "inside-out advocacy" for years.
United Parcel Service suffered staggering customer defection as a consequence of its 15-day Teamsters work stoppage in 1997. The result was that, even after their 80,000 drivers were back behind the wheels of their delivery trucks or tractor-trailers, many thousands of UPS workers were laid off. A UPS manager in Arkansas was quoted as saying: "To the degree that our customers come back will dictate whether those jobs come back."
For years, B-to-B and B-to-C marketers have relied on attitudinal segmentation research to help them group their current customer base, and potential customers as well, for communication, promotion, marketing and experience initiatives. The thesis has been that, by asking a small, but meaningful, set of attitudinal questions, they would be able to develop an index, algorithm or framework equation that ranked these consumers by propensity to buy, both near-term and long-term.
About a decade ago, my consulting colleague Jill Griffin and I identified seven distinct customer life stages for our 2001 book, "Customer WinBack." These life stages, or components of the life cycle, could be applied to customers of any type, and any size of enterprise. We considered the most serious, and potentially impactful, of these to be customers to be those "at risk." These customers have a proven high probability for defection. A decade later, that perspective hasn't changed. Because the average company loses between 20 percent and 40 percent of its customers a year, isolating drivers of risk and stabilization (i.e. repairing and rebuilding the relationship) are priorities for any enterprise.