Offers & discounts guide

How to use Shopify product recommendations for upsells

Quick answer

To use Shopify's product recommendations for upsells, create a Nexora campaign with the AI Recommendation type. Choose the Related or Complementary algorithm, set a Discount % and a Discount label. The app fills the offers from Shopify's own recommendations, the same data themes use for "You may also like" sections, so you don't pick products one by one.

Updated 5 min read Install free

What recommendation-based upsells are

Picking upsell products by hand works well for a small catalogue, but it gets slow with hundreds of products. Shopify already works out which products are related to each other, and many themes use that for a "You may also like" section. A recommendation-based upsell takes the same suggestions and shows them as offers with a price, a discount and an add button.

In the Nexora app this campaign type is called AI Recommendation. The recommendations themselves come from Shopify, not from a separate model run by the app.

Step by step: an AI Recommendation campaign

  1. Create the campaign

    In Campaigns, click Create campaign and enter a Campaign name.

  2. Choose the type

    Set Type to AI Recommendation.

  3. Pick the algorithm

    Choose Related or Complementary under Algorithm.

  4. Set the discount

    Enter a Discount % (default 10) and a Discount label (default AI Deal). The same percentage applies to every recommended product added from this campaign.

  5. Write the widget text

    Adjust Title, Description and Button text, for example You might also like.

  6. Choose pages

    On Display Rules, tick the Target Pages you want and set Max offers to show.

  7. Save and check

    Click Save and open a product page. If nothing appears, check whether Shopify has recommendations for that product yet.

Display Rules work the same way for AI Recommendation campaigns

How recommendations are chosen on each page

PageRecommendations are based on
Product pageThe product being viewed
Cart pageThe highest-priced item in the cart; products already in the cart are left out
Checkout (Shopify Plus)The highest-priced item in the order; products already in the order are left out
Thank you pageThe products just bought
Recommendations can also power a Thank you page follow-up offer

Example: a large catalogue with a few hand-picked exceptions

A home goods store has 600 products. It wants automatic suggestions for most of them, but a specific add-on for its best-selling kettle.

  • Campaign 1 (top of the list): Manual, Specific products = the kettle, offer = descaling tablets at Manual price 4.00
  • Campaign 2: AI Recommendation, Algorithm Related, Discount % 10, Discount label 10% off when added
  • Both campaigns target Product Page and Cart Page

On the product page the first matching campaign is shown, so the kettle page shows the hand-picked offer and every other product page shows recommendations. On the cart page, offers from both campaigns can show together.

Example 2: complementary accessories in the cart

A clothing store with 250 products has set up complementary products in Search & Discovery for its 20 best-selling jackets: scarves, gloves and a waterproofing spray.

  • Type: AI Recommendation; Algorithm: Complementary
  • Discount %: 15; Discount label: Pairs well, 15% off
  • Title: Complete the look; Button text: Add
  • Target Pages: Cart Page; Max offers to show: 3

On the cart page, suggestions come from the highest-priced item, which for this store is usually the jacket, so its accessories appear. If a cart only holds products without complementary products set up, the widget simply doesn't show.

Troubleshooting

What you seeWhyWhat to do
Nothing shows on a product pageShopify returned no recommendations for that productTry Related, add complementary products, or add a Manual campaign
Fewer suggestions than expectedMax offers to show sets how many are requested, and on the cart page products already in the cart are skippedRaise Max offers to show
Recommended products are added at full priceDiscount % is 0, or the Nexora Order Bump discount is off in Shopify DiscountsSet a Discount % above 0 and keep the discount active
A second AI campaign never appearsProduct and cart pages use one AI Recommendation campaign, so extra AI campaigns add nothingKeep one AI campaign and use Manual campaigns for exceptions

Tips and common mistakes

  • New stores may see empty results. Shopify needs some store activity to build related recommendations. Start with a Manual campaign.
  • Complementary needs setup. Add complementary products in Search & Discovery for your key products first.
  • Keep the discount modest. One Discount % applies to everything recommended, including higher-priced items.
  • Use priority for exceptions. Put specific Manual campaigns above a general AI campaign in Campaigns.
  • Filter the list. The Type filter on Campaigns shows only Manual or only AI campaigns.

Frequently asked questions

Does the app run its own AI model?

No. AI Recommendation campaigns use Shopify's own product recommendations, the same data many themes use for "You may also like" sections.

Why does my Complementary campaign show nothing?

Shopify only returns complementary products you have set up, for example in the Shopify Search & Discovery app. Try Related or add complementary products.

Can I choose different discounts for different recommended products?

No. One Discount % applies to all products in an AI campaign. For per-product discounts, use a Manual campaign.

Will a product already in the cart be recommended on the cart page?

No. On the cart page, products already in the cart are left out.

Do recommendations work on the Thank you page?

Yes. On the Thank you page and in checkout they are based on the products being bought.

How many recommended products are shown?

Up to the number set in Max offers to show on Display Rules, if Shopify has that many recommendations.

Can customers pick a size or colour for a recommended product?

On product and cart pages, products with several variants can show a variant selector. In checkout and on the Thank you page, the first variant is offered.

Keep reading

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