Case Study: Wealth Management Firm Predicts Attrition with 90% Accuracy, Deployed in 30 Days
A Turkish wealth management firm used TAZI's explainable, continuously learning AI to predict customer attrition with 90% accuracy and achieve a 32x ROI.
TAZI Team
TAZI AI ·
The client
A Turkish wealth management firm owned by one of the country's major banks. It offers capital market services across equities, fixed income and digital trading platforms to retail and commercial customers.
The challenge
Attrition patterns kept shifting, customer behavior kept changing, and existing inducement strategies were not working. Traditional models could not adapt, which led to retention problems and inefficiencies.
The approach
The firm deployed TAZI's Customer Retention Solution, built on continuous, explainable AI:
- Models adapt as conditions change and provide an explanation for each prediction.
- Continuous learning detects changing micro-segments of customers.
- The solution generates an inducement strategy with a customized plan of action for each client at risk of attrition.
- Business users can adjust the size of incentives or inducement actions in the models.
Results
- 90% attrition prediction accuracy
- 92% remain prediction accuracy
- 32x ROI
- 30 days to deployment