Customer Propensity Intelligence
An ensemble ML scoring platform that predicts purchase, churn and upsell readiness, delivering a 2–4x conversion lift.
The Challenge
A professional sports league client needed to transition from reacting to customer behavior to predicting it. They lacked the ability to systematically identify which fans were likely to buy, at risk of churning, or ready for an upgrade.
Our Solution
We deployed an ensemble ML scoring platform (XGBoost, Random Forest, Logistic Regression) that processes transaction history, product usage, and demographic data to assign each customer a propensity score (0–100) for specific commercial actions.
- Ensemble ML scoring — XGBoost, Random Forest, Logistic Regression
- Inputs: transaction history, product usage and demographic data
- 0–100 propensity score per customer, per commercial action
- Predicts purchase, churn and upsell readiness
- 2–4x conversion lift versus non-scored outreach
Outcome & Impact
Empowered sales and CX teams to act before the customer decides. By accurately predicting purchase, churn, and upsell readiness, the platform delivered a 2–4x higher conversion lift versus traditional non-scored outreach.
Facing something similar?
Tell us where your data is fragmented and we will show you what a platform like this would look like for your organisation.