Case Study: Assurpeople reduces outbound call volume by 30% with PredicSis AI

A PredicSis Case Study

Preview of the Assurpeople Case Study

Increase the performance of your conversion outbound campaigns

Assurpeople, an online insurance broker, needed a real-time way to score prospects requesting insurance quotes so its marketing team could trigger outbound follow-up calls only for people likely to convert. The company wanted to avoid wasting money on already convinced or non-convincible leads and to better understand what makes a prospect more likely to subscribe, using PredicSis AI.

PredicSis implemented predictive modeling and real-time scoring to analyze data from multiple sources, automatically identify early conversion signals, and assign each prospect a transformation score. As a result, Assurpeople reduced the volume of quotes to relaunch and cut phone calls by 30%, lowering outbound campaign costs while improving team motivation and reducing unnecessary contact; PredicSis also helped fully integrate predictive analytics into Assurpeople’s business and technical processes.


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Assurpeople

Bertrand Liber

President


PredicSis

4 Case Studies