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cross-sell-upsell-engine

Configure cross-sell and upsell product recommendations across PDP, cart, checkout, and post-purchase placements.

3|1|Updated Mar 21, 2026
Search Tags:#Shopify#ecommerce#woocommerce#upsell#cross-sell#product recommendations#average order value
One-click install
npx skills add https://github.com/tomtoto757/ecomm-ai-team --skill cross-sell-upsell-engine-tomtoto757
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cross-sell-upsell-engine
Source: https://github.com/tomtoto757/ecomm-ai-team/tree/main/skills/marketing-growth/finsilabs/marketing-growth/cross-sell-upsell-engine
Command: npx skills add https://github.com/tomtoto757/ecomm-ai-team --skill cross-sell-upsell-engine-tomtoto757

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Growing average order value without paid traffic requires well-placed product recommendations, but choosing the right app, placement, and pricing strategy per platform is confusing and mistakes at checkout can increase cart abandonment. ## Core Features & Use Cases - Platform-Specific Setup Guides: Step-by-step configuration for Shopify (Rebuy, Frequently Bought Together), WooCommerce (native linked products, YITH), BigCommerce (Also Bought), and headless storefronts (Rebuy API, Recombee). - Placement and Pricing Strategy: Decision tables for PDP, cart, checkout, and post-purchase placements with expected AOV lift, conversion risk, bundle discount ranges, and upsell price guardrails. - Custom Affinity Computation: TypeScript example for computing co-purchase product affinity from order history when no third-party tool is available. - Use Case: A Shopify merchant with below-benchmark AOV installs Rebuy, adds a Frequently Bought Together widget on product pages and Smart Cart recommendations, then tracks attach rate and AOV lift weekly. ## Quick Start Set up cross-sell recommendations on my Shopify store's product and cart pages using the best app for my catalog size.

Frequently Asked Questions about cross-sell-upsell-engine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Which placement should I start with for product recommendations?▼

Start with the product page and cart page since they offer moderate-to-high AOV lift with low conversion risk. Add post-purchase offers next, and only test checkout recommendations last because they carry medium-high risk of increasing cart abandonment.

Rebuy vs Frequently Bought Together for Shopify upsells?▼

Rebuy is the full-featured option with AI recommendations, multiple placement types, and post-purchase offers. Frequently Bought Together is simpler and cheaper, auto-generating product pairs from order history with optional 5-10% bundle discounts.

Does WooCommerce support cross-sells without plugins?▼

Yes, WooCommerce has native upsell and cross-sell fields in the Linked Products tab of every product editor, and cross-sells display in the cart automatically. The free YITH Frequently Bought Together plugin adds a FBT widget below the Add to Cart button.

Why do checkout recommendations increase cart abandonment?▼

Multiple recommendations at checkout create decision friction during a high-intent moment. Limit checkout suggestions to 1-2 low-cost add-ons under $30, A/B test before enabling, and remove them if the test shows negative conversion impact.

How do I handle recommendations for new products with no purchase history?▼

New SKUs have no co-purchase data, so manually configure them as recommended alongside bestsellers for the first 30 days. All major recommendation apps including Rebuy provide manual override or manual recommendation features for this cold-start case.

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