We take a nice, broad range of your current customer data – including engagement, customer tenure and broader behaviour too. The more the better.
Next, we combine that with historical data on churned customers or previous reactivation campaigns so our algorithm can get to work.
Finally, you’ll receive a list of individual customers with an assessment and probability of churn – completely tailored to your definitions.
With access to the key predictors and drivers of churn, you’ll get a deeper understanding of why customers are leaving.
Thanks to our in-depth assessment, you’ll see the exact likelihood of each customer leaving.
You can start to proactively work on stopping churn – which means higher retention and customer lifetime value.
By integrating our predictions into your tech stack, you can set up automated marketing campaigns.