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- Leading US-based insurance company wanted to better identify opportunities for cross-selling home-insurance to customers possessing auto-insurance
- Available data: Internal & third party demographic/credit data for past 1 year
- 3 member ADT team worked closely with client team and industry experts for 2 months to deliver the model
- Well-structured analysis plan & strict adherence to timelines was key to success
- Very high accuracy & lift was achieved using Logistic Regression based approach
- Effective & efficient communication was maintained with client to constantly provide highly actionable insights
- Robust Logistic Regression Model was created on the past data which prioritized customers in decreasing order of cross-selling probability. Model included valuable agent, household & real-estate information.
- Apart from methodology & results, final report also included in-depth cost-benefit analysis
- Client was able to develop targeted marketing of 0.5 million customers which boosted revenues by over $60 million* (% lift - 135%)
- Modeling on home-auto insurance cross-selling has been initiated
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