Product Recommendation
A product recommendation is the store suggesting items a shopper is likely to want, from related products to frequently-bought-together blocks.
What a product recommendation is
A product recommendation is the store suggesting items a shopper is likely to want: related products, frequently bought together, picked for you, trending now.
Behind the blocks sit rules or algorithms working from behavior, purchase pairings, and catalog relationships.
Why product recommendations matter
Catalogs are bigger than anyone browses. Recommendations surface the right slice per shopper, lifting basket size and rescuing sessions headed for a dead end on the wrong product.
Common recommendation placements
- Related items on the product page
- Frequently-bought-together near the cart button
- Cart add-ons before checkout
- Post-purchase and email suggestions
Frequently asked questions
Rules or algorithms for recommendations?
Rules give control and work from day one; algorithms find pairings people miss but need data. Small catalogs often run curated rules with algorithmic fills.
How many recommendations per block?
Enough to offer choice, few enough to stay a suggestion. A tight row reads as picked; an endless grid reads as the catalog again.
Related terms
Personalization · Cross-Sell · Average Order Value · Choice Overload