Case Study: A European mid-market insurance company achieves optimized premiums, higher returns and lifetime customer retention with Ezappsolution

Insurance Premium Optimization

A European mid-market insurance company was struggling to price premiums optimally and retain customers for lifetime value: they had poor maintenance of historical data, relied on traditional BI reports, and lacked the analytics needed to gauge seasonality and price impacts. They engaged Ezappsolution to apply advanced analytics and AI/ML to pricing and customer lifetime-value optimization.

Ezappsolution performed exploratory data analysis, built ML models for customer LTV, engagement and propensity, ran risk analysis (market, credit and macro factors), developed price-elasticity models, used Markov chaining to maximize sales, and optimized PPC campaigns through simulation of price and subscription scenarios. Ezappsolution’s work delivered measurable improvements in pricing accuracy, quantified enrollment sensitivity by segment, increased campaign ROI and drove higher sales and customer retention, boosting returns and lifetime value.