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CHAPTER<br />

12<br />

Knowing When to Worry:<br />

Hazard Functions and Survival<br />

Analysis in Marketing<br />

Hazards. Survival. These very terms conjure up scary images, whether a<br />

shimmering-blue, ball-eating golf hazard or something a bit more frightful<br />

from a Stephen King novel, a hatchet movie, or some reality television show.<br />

Perhaps such dire associations explain why these techniques are not frequently<br />

associated with marketing.<br />

If so, this is a shame. Survival analysis, which is also called time-to-event<br />

analysis, is nothing to worry about. Exactly the opposite: survival analysis is<br />

very valuable for understanding customers. Although the roots and terminology<br />

come from medical research and failure analysis in manufacturing, the<br />

concepts are tailor made for marketing. Survival tells us when to start worrying<br />

about customers doing something important, such as ending their relationship.<br />

It tells us which factors are most correlated with the event. Hazards<br />

and survival curves also provide snapshots of customers and their life cycles,<br />

answering questions such as: “How much should we worry that this customer<br />

is going to leave in the near future?” or “This customer has not made a purchase<br />

recently; is it time to start worrying that the customer will not return?”<br />

The survival approach is centered on the most important facet of customer<br />

behavior: tenure. How long customers have been around provides a wealth of<br />

information, especially when tied to particular business problems. How long<br />

customers will remain customers in the future is a mystery, but a mystery that<br />

past customer behavior can help illuminate. Almost every business recognizes<br />

the value of customer loyalty. As we see later in this chapter, a guiding principle<br />

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