Track every dollar your product recommendations generate — from first impression to final purchase. See attribution percentage, AOV lift, and full conversion funnels in real time.
From the moment a shopper sees a recommendation to the moment they check out — track every touchpoint and tie it back to revenue.
See the exact dollar amount generated by recommendation clicks. Every purchase that started with a recommendation click is tracked, totaled, and reported on your dashboard.
Know what share of your total store revenue comes from recommendations. Watch this percentage climb as your recommendation engine learns and improves over time.
Track every stage: impressions, clicks, add-to-cart, and purchases. Identify exactly where shoppers drop off and which recommendation placements convert best.
Revenue attribution uses a configurable lookback window. See how recommendation-driven revenue trends over the last 7, 14, or 30 days with full historical comparison.
Measure how much higher the average order value is when shoppers engage with recommendations. See the exact percentage lift that your recommendation engine delivers.
No waiting for end-of-day reports. Revenue attribution updates in real time so you can see the impact of every change to your recommendation strategy instantly.
Add the SellerZoom recommendation widget to your store. Every impression and click is automatically tracked with first-party attribution — no extra setup required.
When visitors interact with recommendations — clicking through, adding to cart, and purchasing — SellerZoom ties each conversion back to the recommendation that started the journey.
Open your Revenue Attribution dashboard to see attributed revenue, conversion funnels, AOV lift, and your overall attribution percentage. Track it daily, weekly, or over 30-day windows.
Product recommendations are one of the most powerful revenue levers in ecommerce, but most merchants have no way of knowing exactly how much money their recommendations generate. SellerZoom's Revenue Attribution feature changes that by tracking every touchpoint from impression to purchase and tying the resulting revenue directly back to the recommendation engine.
Without attribution, recommendation engines are a black box. You see total store revenue going up (or not) and have to guess whether recommendations played a role. Revenue attribution removes the guesswork by isolating the exact revenue that started with a recommendation click — giving you a clear, defensible ROI number for your recommendation investment.
This is especially critical for merchants running multiple growth channels. When you can see that 18% of your total revenue is directly attributable to product recommendations, you can make informed decisions about where to invest time and budget. Attribution data helps you justify recommendation optimization to stakeholders, compare recommendation performance against paid ads or email campaigns, and identify which product categories benefit most from algorithmic discovery.
SellerZoom tracks the complete recommendation conversion funnel across four stages: impressions (how many times recommendations were displayed), clicks (how many shoppers engaged), add-to-cart events (how many added a recommended product), and purchases (how many completed checkout). By measuring each stage independently, you can identify exactly where the funnel narrows and optimize accordingly.
For example, if your recommendation widget generates thousands of impressions but few clicks, the issue is likely widget placement or visual design. If clicks are strong but add-to-cart is low, the recommended products themselves may not be relevant enough. This funnel intelligence turns vague hunches into targeted optimizations backed by data.
One of the most impactful metrics SellerZoom tracks is AOV lift — the percentage increase in average order value when a shopper interacts with a recommendation before purchasing. This metric proves that recommendations don't just redirect existing demand — they expand basket size by helping shoppers discover products they wouldn't have found on their own.
SellerZoom computes AOV lift by comparing the average order value of sessions that included a recommendation click against sessions that did not, controlling for other variables. Many SellerZoom merchants see AOV lifts between 12% and 35%, depending on their product catalog and recommendation strategy.
SellerZoom uses a configurable lookback window to determine attribution. The default is a 30-day attribution window, meaning any purchase made within 30 days of a recommendation click is attributed to the recommendation engine. You can adjust this window to 7 or 14 days for a more conservative measurement, or keep the 30-day default for a comprehensive view.
Attribution is session-based and first-party — SellerZoom does not rely on third-party cookies or external tracking pixels. This means your attribution data is accurate regardless of browser privacy settings, ad blockers, or iOS tracking restrictions. Every data point comes from your own store's event stream.
Revenue Attribution becomes even more powerful when combined with SellerZoom's other features. Use it alongside A/B Testing to measure the revenue impact of different recommendation strategies. Pair it with the Margin Optimizer to see not just revenue but profit attribution. Connect it with Intent Signals to track how social buying intent converts into real purchases through recommendations.
The Revenue Attribution dashboard is available for all SellerZoom merchants at no additional cost. Start tracking the ROI of your product recommendations today and finally know exactly what your recommendation engine is worth.
See exactly how much your product recommendations earn. Set up Revenue Attribution in minutes — no code changes needed.
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