Case Study: Major British insurance company achieves 28% increase in upsell success rate with GemSeek's predictive upsell analytics

Increasing insurance customers’ lifetime value with predictive upsell analytics

British Insurance Company, a major automotive insurer, faced unsatisfactory upsell rates and engaged GemSeek to increase customer lifetime value using predictive upsell analytics (GemSeek’s Predictive Customer Analytics capabilities).

GemSeek built and deployed in 8 weeks a propensity-to-buy model (0–100%) using customer, transactional, service and NPS data, integrated into customer service processes to generate targeted recommendations and prioritisation. After six months of targeted initiatives driven by GemSeek’s model, upsell success rates rose by 28% and the model identifies 90% of customers likely to buy more with high precision.