Case Study: Up-and-coming eCommerce brand achieves 17% higher per-session value and 4% monthly revenue lift with Explorium

Enhanced Recommendation Models for Ecommerce

eCommerce Brand faced poor recommendation performance because its models relied only on internal site data, leaving cold-start users underserved and limiting relevance for existing customers. To address this, the company partnered with Explorium, using Explorium’s enrichment services (including the Enrichment Catalog) to augment user profiles with external signals.

Explorium helped the eCommerce Brand build two parallel recommendation models—one for existing users using historic purchases, clicks and site behavior enriched with Explorium data (social media, employment, internet behavior), and one cold-start model using Explorium’s Enrichment Catalog (search queries, demographics, app preferences, estimated income). The result was a 17% increase in per-session value and a 4% month-over-month revenue lift, plus a more dynamic, personalized experience for new and returning visitors.