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11 RecoBoost Recommendation Logics for Shopify
RecoBoost offers eleven distinct recommendation strategies. This guide helps you understand each logic's purpose, optimal storefront placement, and important considerations before deployment.
AI Auto-optimize
AI intelligently identifies and routes traffic to the best-performing recommendation logic.
Trending
Ranks products by view count, reflecting current shopper interest and activity.
Bestsellers
Ranks products by purchase count, showcasing your store's proven sales leaders.
Recently viewed
Personalized display of each shopper's own recently viewed products.
Cart recovery
Displays items left in cart, prompting shoppers to complete their purchase.
Cart cross-sell
Analyzes the entire cart content to suggest relevant, complementary add-on items.
Customers also viewed
Products viewed by other shoppers who also saw the current item.
Frequently bought together
Identifies co-cart patterns, showing items frequently added with the current product.
Customers also bought
Highlights what buyers of the current product also purchased.
AI similar items
Leverages content similarity via embeddings, providing instant recommendations for new SKUs.
Complete the Look
Hybrid logic combining co-purchase and AI similarity for outfit and set recommendations.