User Retention
Harness the power of Causal machine learning to treat the right audience with the right intervention at the right time.
Give the right treatment to the right user at the right time
Retention campaigns are hard
All recurring revenue businesses share the struggle to prove value on retention campaigns. We find it helpful to use the following illustration to understand the source of those issues better.
In contrast to acquisition campaigns, retention campaigns have four outcomes, depending on whether the treatment worked and what would have happened if no treatment had been done.
The unnecessary and futile outcomes are not business-changing. A great campaign maximizes the desirable outcome. A particularly bad campaign ends with a harmful outcome, in which the client is “reminded” to churn.
Return of Investment for retention Campaigns. Proved.
At Churney, we use a combination of cutting-edge deep learning methods for lifetime value predictions as the starting point to create a real impact on your retention campaigns.
Integrating directly into your existing marketing system, Churney offers a codeless solution to ease up the effort of your marketing team.
Predicting the treatment effect
We take a step further to maximize your campaign's desirable outcome while minimizing the harm. To predict not what will happen but what will happen if you act.
Using causal machine learning, you can finally stop guessing how your retention campaigns work and separate the desirable from the harmful audience, resulting in a lift in retention and return on investment.
Going further
Give the right treatment to the right user at the right time.
With our treatment effect prediction framework, we assist our clients in improving their existing intervention and win back and reactivation campaigns.
