License Retention Modeling

September 10, 2020

A leading Global computer security software developer

Problem Statement

• Conduct a PoC, to help the company improve retention rates of their Enterprise licenses
• The client will have a list of identified customer profiles, that are predicted to attrite

Analytics Led Approach

• Post-event analysis combining various data sources to derive preliminary insights into behavior of lost customers
• The findings from post-event analysis is used on a big data platform to arrive at a modeling methodology to get individual variable significance in predicting customer churn

Business Impact

• Findings from the POC would help identify the key factors driving customer churn
• The company will have a list of recommendations on the most effective levers,  which can be tracked      and  leveraged to improve renewal rate
• Directly impact customer loyalty and & help the client improve growth, ROI & profitability

Critical Success Factors

• The Company was enabled to perform analysis based on advance techniques models without knowing programming
• More robust and reliable predictions from using multiple models
• The deliverables provided a broad based platform for the client to operationalize reusable analytics.