Two approaches, one capability
Churn
The same capability at two levels. Switch on the Braze out-of-the-box version to prove the value fast, then take control with a bespoke model tuned to your data when you want to keep improving. Start with either; the upgrade path is built in.
Level 1Braze out-of-the-boxBraze AI
Braze Predictive Churn
Braze's built-in predictive suite scores each customer's lapse risk inside the platform, so you can stand up churn-triggered journeys and test the play without building a model.
A churn signal switched on in Braze, so you can test win-back journeys in weeks, not months.
What you get
- Braze predictive churn / suspension risk configured
- Risk-banded win-back journeys built and launched
- A holdout to measure the lift
Build time
Day-one switch-on (1-2 weeks)
Complexity
Low
Level 2Refined bespokeML
Bespoke Churn
A machine-learning model that predicts each customer's likelihood of lapsing from their behavioural, purchase and session history.
A forward risk score that flags who is likely to lapse, so you step in before they go.
What you get
- Churn-propensity ML model and scoring pipeline
- Churn-risk score attribute written to Braze
- Save / win-back journey recipes banded by risk
- Model monitoring and periodic retraining
Build time
4-6 weeks
Complexity
High