So what is customer segmentation, and how can it be used to propel one's business?
Segmentation defined
Customer segmentation is a method for grouping customers based upon similarities they share with respect to any dimensions you deem relevant to your business - whether it be customer needs, channel preferences, interest in certain product features, customer profitability, etc.
The key is for you, the marketer, to first decide on what basis you wish to segment your customers (or prospects for that matter). And, the only way to answer this question is to first determine what your objective is for the segmentation, and thus what you want the segmentation to "do for you".
Common segmentation objectives
- Developing new products
- Creating differentiated marketing communications & ads
- Developing differentiated customer servicing & retention strategies
- Targeting prospects with the greatest profit potential
- Developing multi-channel distribution strategies
A brief example: segmenting for customer win-backs
Let's say you worked for a subscription-based magazine such as Newsweek. Your boss has asked you to optimize Newsweek's retention strategy utilizing the current save tactic of sending people who have recently canceled their subscriptions (aka "attritors") 1 of 3 "win-back" mailers. This existing save tactic has been employed by Newsweek for the past 2 years, and the method for determining which attritor receives which mailer has been based largely on "intuition" (aka random selection).
Step 1: Your first step in undertaking this project would be to clearly state your objective. Your objective, as per your boss, is to optimize Newsweek's retention strategy for recent attritors. This is shorthand for saying, "I want you to maximize your return on your retention-dollars invested".
Without getting into the nitty gritty of the approach, what you essentially want to do is determine the relative ROIs for each of the 3 mailers at the individual attritor level. For each mailer, you then want to identify those attritors with high ROIs (i.e., those attritors who re-instated their magazine subscriptions after receiving the mailer and provided you with future profits that well-exceeded the cost of the mailer).
Step 2: For each win-back mailer you want to identify those attributes which the high-ROI attritors have in common, essentially creating a profile for "high-ROI attritors" for each mailer.
Step 3: The final step is to operationalize the three profiles you've created so you can use them to determine which of the 3 mailers, if any, to send to future attritors. This essentially entails implementing a process in which new attritors are matched up against the 3 profiles to determine which, if any, best describe them.
A more sophisticated approach would be to build predictive models that would calculate the expected ROI for each mailer for each attritor, and then send out the mailer with the highest expected ROI to the attritor. And, for those attritors in which all 3 mailers have negative expected ROIs you might choose not to send any win-back mailers.
Closing thoughts on segmentation
In closing, segmentation can be tricky and complex, and no doubt requires a great deal of expertise & experience. Putting in place flawed segmentation strategies can be far more detrimental to a business than not having them at all. However, when designed the right way, segmentation strategies can provide tremendous returns relative to one-size-fits-all approaches.
In future posts I will tackle some other types of segmentation strategies, including those involving new product development and portfolio management. As always, feel free to email me with any of your questions, comments or thoughts.
As always, feel free to email me if you have any questions about segmentation and how to most effectively use it within your business.
More posts on segmentation & marketing strategy:
- Segmentation and targeting
- Using the 5Ws for segmentation & marketing innovation
- Using segmentation to develop your marketing strategy
- Marketing Strategy Framework to hang on your wall
Great books & articles on segmentation:
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