Using Segmentation in Customer Retention

The basic approach to retention-based segmentation is that a company tags each of its active customers with 3 values:

Tag #1: Is this customer at high risk of canceling the company’s service? One of the most common indicators of high-risk customers is a drop off in usage of the company’s service. For example, in the credit card industry this could be signaled through a customer’s decline in spending on his or her card.

Tag #2: Is this customer worth retaining? This determination boils down to whether the post-retention profit generated from the customer is predicted to be greater than the cost incurred to retain the customer. Managing Customers as Investments.

Tag #3: What retention tactics should be used to retain this customer? For customers who are deemed “save-worthy”, it’s essential for the company to know which save tactics are most likely to be successful. Tactics commonly used range from providing “special” customer discounts to sending customers communications that reinforce the value proposition of the given service.

Process for tagging customers

The basic approach to tagging customers is to utilize historical retention data to make predictions about active customers regarding:

• Whether they are at high risk of canceling their service

• Whether they are profitable to retain

• What retention tactics are likely to be most effective

The idea is to match up active customers with customers from historic retention data who share similar attributes. Using the theory that “birds of a feather flock together”, the approach is based on the assumption that active customers will have similar retention outcomes as those of their comparable predecessor.