Case Study: Major Ecommerce Company achieves a 43% boost in Facebook retargeting revenues with Explorium

Ecommerce Company Boosts Their Overall Facebook Retargeting Revenues by 43% With Explorium

Major Ecommerce Company faced diminishing returns from a rules-based Facebook retargeting approach that let many potential buyers slip away and provided little real-time feedback for campaign optimization. They turned to Explorium’s end-to-end data science platform to move beyond static rules and build a production-ready, dynamic retargeting model that could use their internal datasets to better identify promising shoppers.

Explorium helped the company train a model using signals like page views, cart size, item price, return time, and device type, then integrated the solution with Facebook to target high-potential users. As a result, Major Ecommerce Company boosted Facebook retargeting revenues by 43%, increased overall ad effectiveness, reduced the total cost of ownership for ML adoption, and—with Explorium’s onboarding and education—rapidly operationalized predictive campaigns.