Monwell Achieves 6× Conversion Rate and 7× Revenue per Visit with AI-Powered Product Discovery
UK media ecommerce operator Monwell deployed Athos Commerce's intelligent search and personalized recommendations across four brand stores, driving 6× higher conversion from search users and 7× higher revenue per visit — with 34% of total revenue attributed to search.
Background
Monwell managed four UK media brand ecommerce stores on Magento, dealing with vast product catalogs and merchandising complexity. Moving to BigCommerce provided re-platforming flexibility, but the team still needed a way to surface relevant products efficiently to shoppers navigating large catalogs. Manual merchandising was unsustainable across four domains and multiple brand identities. The goal was to automate personalized product discovery and recommendations at scale.
What Was Implemented
- Re-platforming of 4 ecommerce domains from Magento to BigCommerce (managed by agency 5874 Commerce)
- Athos Commerce integrated for site search, personalization, and AI-powered recommendations
- Custom widget built into BigCommerce's Page Builder for front-end recommendation deployment
- AI models recommending best-sellers and behavior-based tailored suggestions across all four sites
- Streamlined internal merchandising workflows, replacing manual product curation with AI-driven recommendations
Results
In the first year after implementing Athos Commerce across four domains, Monwell's stores achieved: 6× higher conversion rates from shoppers using site search (compared to non-search users); 7× higher revenue per visit from search users; and 34% of total revenue attributed to search . All figures are vendor-reported (Athos Commerce) for a single client in a defined measurement period (first year post-implementation).
Lessons
- Intelligent search and AI recommendations compound: users who engage with search convert at dramatically higher rates, making search experience investment high-ROI
- Managing multiple brand storefronts becomes feasible with a centralized AI merchandising layer that adapts to each site's catalog
- Integrating recommendations into a CMS page builder (BigCommerce's Page Builder) lowers the deployment barrier for non-technical teams
- Re-platforming and AI search/personalization implementation can be delivered together when agencies and technology partners collaborate closely