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Michael_Soprano
Michael_Soprano
Level 10
July 9, 2025
Solved

Product clicked in the recommendations - was it bought later

  • July 9, 2025
  • 3 replies
  • 569 views

Assuming we have a scenario: 

1. Product is shown in the recommendation 

2. In the same session / in the next 24h user bought this product 

3. Are we able to measure such a conversions in Target or additional Analytics license is required? 

4. Are we able to somehow tracks which products were clicked in the Recommendations? 

 

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    Best answer by pradnya_balvir

    Hi @michael_soprano ,

     

    Use Adobe Target + Adobe Analytics (A4T)

    This requires the Analytics for Target (A4T) integration.

    Requirement Can Adobe Target Handle It? Needs A4T
    Track product shown in recommendations Yes Optional
    Track product clicks from recommendations Yes Optional
    Track if clicked product was purchased later No Yes
    Attribute purchase back to the recommended product No Yes
    Cross-session analysis (e.g., purchase within 24h) No Yes

     

    How to Implement with A4T

    1. Enable A4T Integration

      • Use Adobe Analytics as the reporting source when setting up the activity in Adobe Target.

    2. Pass Product Clicks

      • On product click (from recommendation), use Adobe Analytics to capture:

        • eVarX = product_id

        • Event = "Recommendation Click"

      • Set this via s.tl() call or Web SDK equivalent.

    3. Track Product Purchases

      • Ensure purchase event is captured with product_id in the Adobe Analytics beacon

      • e.g., s.products = ";product_id;1;19.99"

    4. Use Attribution Logic in Analysis Workspace

      • Create segments like:

        Users who clicked a product recommendation AND

        purchased same product within 1 day

      • Use:

        • Hit-level or visit-level segments

        • Sequential segments (e.g., "Recommendation Click" THEN "Purchase")

    5. Optional: Custom Profile Attributes

      • You can store recommended product IDs or clicked products in a custom prop or eVar for deep attribution logic.

    3 replies

    NarenKotipalli
    NarenKotipalli
    Level 3
    July 10, 2025

    @michael_soprano  With the given scenario, you will be able to track product clicks that originate from the Adobe Target Recommendations section on any page. However, it is not possible to directly attribute the purchase conversion to the specific products shown in Recommendations using Adobe Target reporting alone.

    If your Adobe Target account is enabled with Analytics reporting (A4T), then yes, you can measure these conversions in Adobe Analytics, but it will require additional tracking implementation.

    To achieve this:

    • You should enable an eVar in Adobe Analytics to store the source or section details (e.g., “Recommendations _ Most Popular”) at the moment a product is clicked or added to cart (especially if users can add products to the cart directly from the recommendations).
    • This eVar will persist through to the purchase event, allowing you to attribute the purchase back to the recommendation interaction.

    By implementing this, you’ll be able to identify whether a product purchase originated from the Recommendations module, even across sessions, provided the visitor ID remains consistent.

    Hope this clarifies your query!

    Best regards,
    Narendra

     

    pradnya_balvir
    Community Advisor
    pradnya_balvirCommunity AdvisorAccepted solution
    Community Advisor
    July 10, 2025

    Hi @michael_soprano ,

     

    Use Adobe Target + Adobe Analytics (A4T)

    This requires the Analytics for Target (A4T) integration.

    Requirement Can Adobe Target Handle It? Needs A4T
    Track product shown in recommendations Yes Optional
    Track product clicks from recommendations Yes Optional
    Track if clicked product was purchased later No Yes
    Attribute purchase back to the recommended product No Yes
    Cross-session analysis (e.g., purchase within 24h) No Yes

     

    How to Implement with A4T

    1. Enable A4T Integration

      • Use Adobe Analytics as the reporting source when setting up the activity in Adobe Target.

    2. Pass Product Clicks

      • On product click (from recommendation), use Adobe Analytics to capture:

        • eVarX = product_id

        • Event = "Recommendation Click"

      • Set this via s.tl() call or Web SDK equivalent.

    3. Track Product Purchases

      • Ensure purchase event is captured with product_id in the Adobe Analytics beacon

      • e.g., s.products = ";product_id;1;19.99"

    4. Use Attribution Logic in Analysis Workspace

      • Create segments like:

        Users who clicked a product recommendation AND

        purchased same product within 1 day

      • Use:

        • Hit-level or visit-level segments

        • Sequential segments (e.g., "Recommendation Click" THEN "Purchase")

    5. Optional: Custom Profile Attributes

      • You can store recommended product IDs or clicked products in a custom prop or eVar for deep attribution logic.

      kandersen-1
      Community Advisor
      kandersen-1Community Advisor
      Community Advisor
      July 11, 2025

      Hi @michael_soprano ,

      If you have Adobe Analytics, you most likely already have an eVar/dimension for tracking 'internal campaigns' from a query string parameter - e.g. ?icid=[internal tracking code]

      Either use that or create a new one and use it to track clicks on each recommendation location in your design/template. This will look something like this in your recs design: $entity1.pageUrl?icid=recs_location1, $entity2.pageUrl?icid=recs_location2

      Obviously icid can be any parameter you decide. If you don't want to 'compete' with other internal campaigns you create a new variable for this purpose. You then define the expiration for this dimension based on how you want to track it. 

      Besides being able to understand what leads to purchase in future visits it also gives you insights into which locations are most clicked. You could even take a step further and include the product that was clicked: $entity1.pageUrl?icid=recs_location1_$entity1.id

      Hope this helps!

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