Track Adobe Commerce product views in Google Merchant Center
Import Adobe Commerce product page view data and engagement metrics into Google Merchant Center to correlate organic shopping impression share with actual on-site interest. Prioritize feed optimization for products that already demonstrate customer demand and save 14+ hours monthly on feed strategy decisions.
Request a demoHow your data flows
Capture product view data
Automatically collect product page views, time on page, and engagement metrics from Adobe Commerce catalog.
Process engagement metrics
Match Adobe Commerce product SKUs with Google Merchant Center feed items and calculate demand scores based on view frequency.
Import custom labels
Apply custom labels to products based on on-site engagement levels to segment high-demand items in Shopping campaigns.
Track impression correlation
Monitor which high-view products also generate strong organic Shopping impressions to identify optimization opportunities.
Capture product view data
Automatically collect product page views, time on page, and engagement metrics from Adobe Commerce catalog.
Process engagement metrics
Match Adobe Commerce product SKUs with Google Merchant Center feed items and calculate demand scores based on view frequency.
Import custom labels
Apply custom labels to products based on on-site engagement levels to segment high-demand items in Shopping campaigns.
Track impression correlation
Monitor which high-view products also generate strong organic Shopping impressions to identify optimization opportunities.
How it works
Capture product view data from Adobe Commerce
ConvertMate automatically collects product page view counts, average time on page, and engagement signals from your Adobe Commerce store. This includes tracking which products receive the most visitor attention, how long customers spend reviewing product details, and which items generate repeat views from the same users.
Process engagement metrics and match SKUs
ConvertMate processes your Adobe Commerce engagement data and matches product SKUs with your Google Merchant Center feed items. The system calculates demand scores based on view frequency, engagement depth, and traffic trends to identify which products demonstrate genuine customer interest beyond just impression counts.
Import custom labels to Merchant Center
ConvertMate applies custom labels to your Google Merchant Center products based on their on-site engagement levels, creating segments like high-demand, moderate-interest, and low-engagement items. These labels enable you to prioritize feed optimization efforts on products that already attract customer attention and are more likely to convert when given better Shopping visibility.
Track impression correlation and optimize
Monitor which high-view products also generate strong organic Shopping impressions versus those with high on-site interest but poor Shopping performance. This correlation reveals optimization opportunities where improving product titles, images, or attributes could capture more qualified traffic for items that already demonstrate conversion potential on your store.
Use cases
Prioritize feed optimization for proven products
An outdoor gear retailer discovers that their camping stove category receives 3,200 monthly product page views but generates only 400 Google Shopping impressions. By importing view data into Merchant Center custom labels, they identify 12 high-demand products with poor Shopping visibility and prioritize optimizing those product titles and images first. Within three weeks, impressions for those items increase by 240% while maintaining a 4.2% click-through rate, generating 85 additional qualified visits monthly from customers already interested in those specific products.
Identify seasonal demand before impression trends
A sporting goods store tracks Adobe Commerce product views throughout the year and notices paddle board views increase 180% in February, two months before traditional Google Shopping impression peaks. By correlating early on-site interest with Shopping performance, they proactively optimize paddle board feed data in March before competitor activity intensifies. This early optimization captures 1,400 additional impressions during April and May at 35% lower cost-per-click than waiting until peak season when competition drives up auction prices.
Validate feed changes with real engagement data
An electronics retailer tests new product title formats in their Adobe Commerce store and measures how title changes affect product page view duration and bounce rates. Before applying those title patterns to their Google Merchant Center feed, they validate that the new format increases average time on page by 22 seconds and reduces bounce rates by 8%. This validation prevents them from implementing feed changes that might improve click-through rates but deliver lower-quality traffic that doesn't convert.
Segment Shopping campaigns by on-site performance
A home decor merchant imports Adobe Commerce engagement scores into Merchant Center custom labels and creates separate Shopping campaign ad groups for high-engagement, moderate-engagement, and low-engagement products. They allocate 60% of their Shopping budget to the high-engagement segment, which represents only 25% of their catalog but generates 58% of their on-site product views. This reallocation improves overall Shopping campaign ROAS by 34% while reducing wasted spend on products that rarely attract customer attention even when they do appear in search results.
Frequently asked questions
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trackStart tracking product views in Merchant Center today
Connect Adobe Commerce engagement data to Google Merchant Center and identify which products deserve your feed optimization attention. Save 14+ hours monthly on feed strategy decisions.