What would retention have looked like for treated users if they had not received the push notification?
Use synthetic control methods and causal forests to estimate counterfactual retention trajectories
Metrics & KPIs
Required Data
Data Sources
Works with tools like
How Bruin answers this
Bruin AI Data Analyst
What would retention have looked like for treated users if they had not received the push notification?
Bruin connects to your CRM Platform, Telemetry and runs the analysis automatically.
It tracks CATE, ATE, synthetic control RMSE and delivers the answer in seconds — in Slack, Discord, Teams, or your browser.
Related use cases
D30 Churn Model Feature Importance
Which behavioral features have the highest SHAP values in our D30 churn prediction model?
Data ScienceA/B Test Sample Size Calculation
What is the minimum sample size needed to detect a 2% retention lift at 80% power for our next A/B test?
Data ScienceStore Layout Causal Lift Validation
Is the observed 3% lift in conversion from the new store layout causally significant or driven by selection bias?
Bruin for mobile gaming
350+ use cases across every team in your studio — from monetisation to LiveOps, product to engineering. One AI that speaks your data.
Get this answer in seconds
Connect your data, ask the question, get the answer. No SQL needed.