key questions answered

What causes your customers to churn?

What characteristics do your churners share?

How predictive are those characteristics?

Which of your active customers are likely to churn? How likely? Which are preventable?

What engagement strategies can be activated to prevent them from churning?

paradoxes approach

  • Analyze prior churners and their attributes
  • Perform a driver analysis of those churners using an assortment of statistical modeling techniques
  • Overlay the driver analysis on existing customers
  • Score and rank churn vulnerability among the population
  • Develop strategies to mitigate churn for the vulnerable populations (this step requires additional research often a mix of qualitative and quantitative methods)

Member segmentation to identify those most likely to churn

 

Characteristics of members likely to churn

Example of using cluster analysis to identify churn probability and revenue at risk

Example strategies mitigate churn

Jobs We Do

We help leading brands make smarter decisions at every stage of the product lifecycle.

SEE OUR WORK

Let’s Talk

Get in touch and tell us about your project. We’d love to hear from you.

LET’S GO