Marketing scenario
What this scenario gives you
Higher AOV, more complementary sets, and better use of bought-together data without manually creating every recommendation.
Product page or cart embed with frequently bought together products, bundle add option, and current availability.
When it is worth using
- stores with order history and product relationships
- products bought in sets or routines
- categories where shoppers need guidance on what to add
When to skip it
Do not show the section if data is sparse or the relationship is accidental. Bought together must mean a real pattern, not random catalog items.
Implementation plan
How to set it up
Use real data
Recommendations should come from order history, compatibility, or manually approved relationships, not popularity alone.
Filter availability and variants
The bought-together product must be available and match the main product variant.
Make bundle add simple
CTA should add all items or let the shopper quickly unselect what they do not want.
Data
The best recommendations come from real carts
Do not mix products only because they have high margin. If the set has no practical logic, the shopper will sense that it is a sales shelf, not a real cue.
- Do not mix bought-together with global bestsellers.
- Update relationships after seasons and catalog changes.
- Exclude low-availability products.
Cart
The section should create one sensible set
A long recommendation slider is weaker than a small set with a clear reason. The user should immediately see what fits the main product.
- Show 2-4 set items.
- Add total price and item prices.
- Allow adding the set without leaving the page.
Example
A product routine can become a bought-together set
In cosmetics, show products from the same routine; in electronics, compatible accessories; in equipment, installation items. Data should confirm that the set really works.
- Condition: main product and reliable bought-together relation.
- CTA: add set or choose items.
- Measure AOV, bundle add-to-cart, and completion.
Measurement
What to measure after launch
Evaluate the scenario by shopper behavior and cart impact, not by impressions alone. These metrics help you see whether the campaign supports revenue or only creates activity.
- bundle add-to-cart
- AOV
- orders with set
- set margin