Leading insurance provider with products across personal, auto and commercial insurance.
The client was facing challenges in maximizing the value of its customer portfolio by cross-selling and up-selling.
SG Analytics' data scientists divided the problem statement into three major parts (customer segmentation, propensity model, and campaign design) to create the following solution:
SG Analytics employed “propensity to buy” models for optimizing return on investment (RoI) on various campaigns to up-sell and cross-sell insurance products through superior targeting.
Our data scientists used logistic regression models to determine a probability of cross-selling products to policyholders.
The team deployed analytics to build a comprehensive cross-sell solution.
Helped in designing effective and focused cross sell campaigns with improved response rates.