Case Study: a leading life insurance brokerage firm achieves 80% precision improvement in lead buying with Sigmoid

Leading Life Insurance Brokerage Firm boosts marketing ROI 80% with Sigmoid

The vendor Sigmoid worked with a leading life insurance brokerage firm that wanted to optimize its process for buying sales leads to improve its marketing return on investment. The client had a patented sales platform and used various vendors for lead generation but sought a better way to determine which leads were worth purchasing.

Sigmoid implemented a machine learning-based solution that mapped the entire lead journey. They built multiple classification and regression models, along with an attribution model, to calculate each lead's propensity to buy a policy and its estimated value. This enabled real-time decision-making for lead buying and servicing. The solution from Sigmoid delivered an 80% precision improvement and achieved a double-digit lift in revenue per marketing dollar.