Case Study: a large U.S. publisher boosts subscriber conversions 3X with Mather Economics predictive analytics

Large U.S Publisher - Customer Case Study

Mather Economics worked with a large U.S. publisher that wanted to grow new subscribers while improving conversion rates and lowering the cost per new start. The publisher needed a better way to identify which registered, non-paid users were most likely to subscribe.

Mather Economics used predictive analytics as a service to build a conversion model for registered non-paid users and then sent targeted email offers to those with the highest propensity to subscribe. The approach identified key conversion signals such as increased page views and more unique days on site, and it drove conversions 3X higher than a mass-marketing email campaign. Mather Economics is now extending the model to anonymous visitors behind the paywall.