Case Study: Neopost achieves data-driven customer retention with PredicSis.ai

Leverage your Big Data infrastructure with Predictive Analytics

Neopost, a global provider of mailing and digital communications solutions, wanted to become more data-centric and improve customer retention by breaking down siloed data and enabling predictive scoring. The company needed a way for frontline teams to use big data for churn prevention without requiring data science skills, and it chose PredicSis.ai to help.

PredicSis implemented a self-serve predictive analytics solution via AWS Marketplace, connecting Neopost’s data lake to multiple sources and allowing marketing to generate targeted at-risk customer lists for sales follow-up. The result was a faster, data-driven retention process delivered in just a few days, with better visibility into churn signals, stronger preventive actions, and improved predictive analytics for retention, upsell, and conversion initiatives.

Neopost

Hugues Le Bars

Chief Data Officer