Do you have an effective process in place for retaining existing customers?

Combine your online and offline data to understand completely your entire customer base. Pinpoint those customers most at risk of churning to drive effective retention campaigns using no-code AI predictive models.


Customer retention: increase retention conversion rate (CVR).


Fragmented customer data limits a marketing teams’ ability to retain customers. Identifying the signs of churn in time to save a customer is notoriously difficult. Without a clear picture of each and every customer, as well as a data scientist at hand, it’s impossible to isolate those customers most likely to churn. 


A feature of Zeotap CDP is Predictive Audiences. One of our ‘out of the box’ no-code AI models is Recency-Frequency-Monetary (RFM). You can identify your customer segments at risk of churn: customers that spent big money, purchased often, but that was a long time ago. Win them back in just a few clicks and without needing a data scientist!


  • Create a Trusted Golden Record of each and every customer by unifying your first-party data from key data silos, both online and offline.
  • Designed for marketers, our Recency-Frequency-Monetary (RFM) ‘out of the box’ no-code model allows you to pinpoint the audiences most likely to churn without the need of a data scientist.
  • The RFM model also creates customer segments based on frequency of visits and monetisation opportunities across all your customers.
  • Reduce your time to market with retention campaigns, as once your audience segments are created they are dynamically updated.
  • Drive efficiency and scale by repurposing customer segments across a range of platform integrations.
  • Target customers with a high probability to churn using Predictive Audiences  in your martech and adtech platform of choice.


  • A leading European insurance company increased their retention conversion rate by 24%.

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