Marketing scenario
What this scenario gives you
More repeat purchases, faster return to the right category, and higher cart value without starting with a discount.
Embed or module with recommendations based on purchase history, viewed products, feed, and current availability.
When it is worth using
- stores with repeat purchases and broad catalogs
- brands with product or category history data
- retention without immediate discounting
When to skip it
Do not show recommendations unrelated to customer history. A random bestseller shelf for a returning user wastes the data advantage.
Implementation plan
How to set it up
Choose recommendation source
It can be last purchase, recently viewed product, favorite category, or natural complement to the previous order.
Filter availability
A returning customer should not see unavailable products or variants that force the decision backward.
Measure without discount
First check whether relevant recommendations generate return on their own. Add discount only for segments that need it.
History
The best recommendation starts from what the customer already showed
Not every history signal means the same thing. After purchase, show a complement; after browsing, an alternative; after returning to a size, availability; after a long gap, a safe bestseller from the previous category.
- For consumables, show replenishment.
- For fashion, show matching styling pieces.
- For electronics, show accessories and compatible add-ons.
Cross-sell
Retention through recommendations does not need to start with a code
If the customer returns to the store, a relevant shelf may be enough. Only lack of reaction or a long pause may justify an extra benefit.
- Do not mix recommendations with a generic sale.
- Show a short reason: matches your last purchase.
- Do not show too many products at once.
Example
A customer after buying a coffee machine can see coffee and accessories
Instead of a code for the whole store, show products that naturally complement the previous purchase. This builds the next cart through usefulness, not markdown.
- Condition: previous purchase and return to store.
- Feed: complementary, available, history-matched products.
- Measure clicks, add-to-cart, and repeat order.
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.
- recommendation CTR
- add-to-cart from embed
- repeat purchase rate
- next-order AOV