Maximize Customer Portfolio Value for an Insurance Provider

Solution

SG Analytics’ data analytics team divided the problem statement into three major parts: customer segmentation, propensity model, and campaign design, and created 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 analytics team used logistic regression models to determine probability of cross-selling products to policyholders.
• The team deployed analytics to build a comprehensive cross-sell solution.

Value Delivered

Helped in designing effective and focused cross-sell campaigns with improved response rates.