Use Price benchmark data
Review product trends and use Price benchmark data to prioritize pricing and campaign decisions.
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Review product trends and use Price benchmark data to prioritize pricing and campaign decisions.
In Merchant Center, the price competitiveness report compares your prices with other retailers’ prices for the same products.
You can this data to:
See Benchmark information of each product
See Price benchmark history of each product in a graph
Put the price benchmark labels in a supplemental source
For benchmark definitions and availability, see Price benchmark data. To use benchmark labels in campaigns, see Use Price benchmark labels in Google Ads.
You'll need
A Channable (CSS) Boost Pro plan
Good to know
Some products do not have a benchmark. This can happen when:
The product is unique, so Google cannot compare it.
The product does not have enough ad impressions or clicks.
Google does not have enough competitor prices.
Google cannot match the product with competitor listings.
Google mainly matches products by GTIN. When GTIN is unavailable, Google uses brand and MPN.
In Channable, open the Products tab.
Review products with available Price benchmark data (indicated by a value in the Pr. benchmark column of the table). If there is available data, you'll see one of the following:
Above benchmark: Your price is higher than the benchmark price
At Benchmark: Your price is the same as the benchmark price (1% margin)
Below Benchmark: your price is lower than the benchmark price
No Benchmark: Not enough data available to calculate the benchmark price for this product
Choose how you want to use your price benchmark data.
Check out Use Price benchmark labels in Google Adsto use your labels in your campaigns.
For products performing well, maintain stock and protect visibility. Use the benchmark to support decisions, not replace margin targets.
For products with a persistent gap and weaker performance, review the price, margin, and conversion data. Adjust the price, reduce spend, or keep the product unchanged based on your findings.
After making a change, review the trend and performance again. Avoid changing several variables at once.
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