Customer LifeTime Value Prediction2020-11-10T09:46:29+00:00

33% improvement in ROMI using CLTV models

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

Business Challenges

The existing solution had a high average MAPE in customer value forecast, and the results were inconsistent. The process wasn’t completely automated they couldn’t identify the new customers likely to become valuable with consistency.

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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