Personalization Engine

Overview

Personalized product recommendations increase average order value and session depth by surfacing the most relevant products for each customer. "Frequently Bought Together", "You Might Also Like", and personalized homepage sections are all forms of recommendation. Every major platform has apps that handle collaborative filtering and recommendation algorithms without custom code. Only build a custom recommendation engine if your catalog size, traffic volume, or recommendation logic exceeds what app-based solutions support.

When to Use This Skill

• When adding "Frequently Bought Together" or "You Might Also Like" carousels to product pages
• When implementing a personalized homepage for returning customers
• When building a recommendation API for a mobile app or headless storefront
• When cold-start recommendations (no history) are returning irrelevant products
• When A/B testing the impact of personalization on AOV and revenue per session

Core Instructions

Step 1: Determine platform and choose the right recommendation tool