Customers only see 5% of most e-commerce catalogs. Generic 'best sellers' widgets don't personalize. Amazon's recommendation engine drives 35% of its revenue but similar technology costs $500K+ to build. Small brands show the same products to everyone and miss cross-sell opportunities worth 10–30% of revenue.
Drop-in AI recommendation engine that learns from customer behavior to surface personalized product suggestions across your entire store — on product pages, in cart, at checkout, and in email — driving discovery and increasing basket size.
E-commerce stores with 500+ SKUs where product discovery is challenging, DTC brands wanting Amazon-level personalization, and Shopify Plus merchants looking for AI recommendations without custom development
AI models can now understand shopping behavior patterns with minimal data. Amazon-level personalization is becoming accessible to smaller brands. First-party data is more valuable post-cookie. Every percentage point of conversion lift matters as ad costs rise.
$49/mo (up to 10K page views/mo), $99/mo (up to 50K views + email recs), $199/mo (up to 200K views + A/B testing), $399/mo (unlimited + API + custom algorithms). Performance: 3% of recommendation-attributed revenue.
E-commerce personalization. $99+/mo + revenue share, good product but pricing gets expensive at scale
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