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- Leading US-based insurance company wanted to better identify opportunities for cross-selling home-insurance to customers possessing auto-insurance
- Internal & third party demographic/credit data available for past 1 year
- 3 member ADT team worked closely with client team for 2 months to deliver the model
- Industry expert consulted from client team
- Well-structured analysis plan & strict adherence to timelines maintained
- Very high accuracy & lift achieved using Logistic Regression based approach
- Effective & efficient communication was maintained with client to constantly provide highly actionable insights
- Robust Logistic Regression Model created on past data which prioritized customers In decreasing order of cross-selling probability
- Model included agent, household & real-estate information
- Report included cost-benefit analysis, apart from methodology & results
- Targeted marketing of 0.5 million customers boosts revenues by over $60 million* (% lift - 135%)
- Modeling on home-auto insurance cross-selling has been initiated
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