How to Track Shopping Campaign Performance on a Product Level

  • Quick read

A headache for most e-Retailers today lies in figuring out ways to improve their ad spend while increasing their profits. A savvy marketer knows that the best way to do this is through tracking campaign performance on a product level. In this post we will explain exactly how you can do this.

If you’re not analyzing your comparison shopping campaigns at the product level you’re either wasting your budget on products that are simply not converting OR you are missing out on an opportunity to give your best performing products better exposure so you can further increase your profits.

When you track your comparison shopping campaigns at the product level, you’re able to optimize the listings and you’re able to create and analyze performance reports. This insight allows you much deeper control of your ad spend.The reasons for tracking performance are obvious, but let’s look at ways you can enhance your tracking capabilities.

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UTM codes

UTM codes are tracking parameters you can add to the product URLs in the data feeds you send to different channels. In the UTMs you can pass information about source, medium, campaign, content and keyword.

So let’s say we are sending the same product sku = 1234 to 2 different channels:

  • Facebook Product Ads
  • Nextag

An exemplary product urls could looks like this:

With these UTMs in place you will be able to analyze the products on a product level by creating a custom report. The report settings can look something like this:

Product Level Performance Report in DataFeedWatch

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Google Shopping

The UTM trick described above will not necessarily work for Google Shopping.

It is advisable to connect your Google Ads and Analytics account so that the performance statistics collected by both systems can be shared. However, GCLID parameters, which are used by Google to pass performance statistics from Google Ads, overwrite any UTM codes.

Although it is possible to change the overwriting logic, it is not advisable, as it will break the Google Ads-Analytics connection.

UTMs aside, the key to getting product-level data lays in Google Shopping campaign structure. Identify your best-sellers and move them to separate ad groups. For each of these ad groups, you will need to add exactly one product group containing only this one product (Item ID) and exclude everything else.

You can identify your bestsellers by going to the dimensions tab and changing the view to Shopping – Item Id.

Product Level Performance Dimensions Tab

Check out Manage a Shopping campaign with product groups article in Google Help section to learn more about Google Shopping campaign structure.

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