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Applying Product Set Level Exclusions in Sets Created from BigAtom

This document explains how to remove poor-performing products from a product set based on the performance of that product set within a specific campaign.

Updated over a week ago

When to Use This Strategy

This approach works best when:

  • The product set is added to only one campaign at a time.

  • That campaign does not use multiple product sets within the same ads.

  • If multiple product sets are used, there should be no product overlap between them.

Following these conditions ensures accurate performance analysis and clean exclusions.


Add Exclusions by Editing an Existing Product Set

This method is applicable when the product set is created using only Attribute-based filters and does not already include metric-based filters.

Step 1: Edit the Product Set

From the platform, open and edit the existing product set you want to optimise.

Step 2: Add Campaign Filter

Under the Campaign filter, select the campaign in which this product set is currently being used (ensure it meets the conditions mentioned above).

Step 3: Performance Analysis

The system will automatically pull product-level performance data from the selected campaign and analyse it to identify poor-performing products.

Step 4: Add Metric Conditions

Under Metrics, define the conditions that determine poor performance (for example: ROAS, conversions, clicks, etc.).

Also, select the date range for which the performance analysis should be done.

Step 5: Apply Changes

Click on “Apply” to update the product set.


What Happens Next

Once updated:

  • The system continuously monitors product performance within the selected campaign.

  • Products that meet the defined poor-performance conditions are automatically removed from the product set.

Exclusions occur based on the frequency settings defined in the product set.

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