Customer LifeTime Value Prediction2020-10-19T18:17:24+00:00

33% improvement in ROMI using CLTV models

CLTV Case Overview: Segmented customers and calculated their lifetime value using revenue forecast and built churn models to forecast probability of customer attrition

Business Challenges

The client’s existing system was unable to handle a large number of queries and was insufficient in fraud detection and processing valid claims.

Sigmoid’s Solution

Aggregated the customer and transaction data for the last 6 years and cleansed it for anomalies.

Business Impact

Our robust revenue forecast solution delivered 33% improvement in return on marketing investments, leading to 50% increase in operational effieciency.

For detailed understanding and solution, please download the case study here

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