Product Recommendation
Let’s be real—most “You may also like” carousels feel more like a guessing game than a helpful guide.
Last updated
Let’s be real—most “You may also like” carousels feel more like a guessing game than a helpful guide.
Last updated
With Because Product Recommendations, you can show relevant, personalized suggestions based on real customer data, not static rules.
These aren’t just recommendations—they’re revenue opportunities powered by your Klaviyo and Shopify data.
Behavior-Based Targeting
Unlike Shopify’s native “You May Also Like” feature, Because lets you trigger product suggestions based on who the shopper is and how they’re shopping. Recommend bundles, upsells, or complementary products based on cart contents, location, lifecycle stage, purchase history and more.
Easy to Set Up, Easy to Scale
No developers needed. Just choose your targeting rules, select your products, and Because handles the rest.
Product Recommendations work beautifully across:
Product pages – Suggest complementary or higher-value items.
Cart pages – Boost AOV with targeted cross-sells.
“Complete the look” bundles based on the current product
Seasonal suggestions based on location or weather
Subscription upsells (“Add this to your next order”)
Returning shopper recs based on past behavior
Replenishment reminders (“Time to restock your favorite face serum?”)
Restock alerts for high-demand items (“Back in stock: Your saved pick is available again!”)
To provide more precise insights into your Product Recommendation campaigns, we’ve introduced enhanced analytics options. These options allow you to tailor your tracking based on specific campaign goals.
When setting up a Product Recommendation campaign, you can choose between two tracking methods:
This method tracks only the purchases of the specific product recommended in the campaign.
How it works: A purchase is attributed to the campaign only if the recommended product is added to the cart and purchased.
Revenue Attribution: Only the revenue from the recommended product is included in the campaign analytics.
Best for: Assessing the direct impact of a specific product recommendation.
This method tracks all purchases made after the campaign is viewed, regardless of the products purchased.
How it works: Any subsequent purchases after viewing the campaign are attributed, even if the recommended product isn’t purchased.
Revenue Attribution: Includes the total revenue from all products purchased after the campaign view.
Best for: Understanding the broader influence of the campaign on purchasing behavior.
In the Because campaign editor:
Navigate to your Product Recommendation campaign settings.
Locate the “Analytics Tracking” section.
Select your preferred tracking option.
Choosing the appropriate tracking method is crucial for accurate analytics:
Granular Insights: “Track Purchases of Recommended Product Only” provides a focused view of a specific product’s performance.
Holistic View: “Track All Orders After Campaign View” offers a broader perspective on how the campaign influences overall purchasing behavior.
By selecting the tracking method that aligns with your campaign objectives, you can gain more meaningful insights and make informed decisions to optimize your marketing strategies.
In the Because campaign editor, select “Product Recommendation” as your content type, then select your page type. From there, you’ll choose your product, adjust messaging and styling, and set your targeting rules.
If you have any questions about product recommendation campaigns or need assistance, don’t hesitate to contact our support team at . We’re here to help!
