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How to Measure Impact with BigAtom?

Updated over a month ago

Measuring impact is critical for brands to understand how catalog advertising changes translate into business outcomes. BigAtom provides a unified framework to measure performance across different optimization levers—creative enhancements, product targeting, and catalog hygiene.

This single-view guide highlights the capabilities, what they measure, and links to detailed experimentation documentation.

Capability

What It Measures

Experiment / Playbook Links

Overlay (Creative Enhancements)

Impact of branded design elements on catalog ad performance

Product Segments (Business Goal Targeting)

Performance uplift from grouping products based on goals (e.g. high-margin, top-sellers)

Product Exclusion (Catalog Hygiene)

Efficiency gained by removing low-performing / low-inventory / irrelevant products

Summary

You can set up the above experiments to measure the impact in a more scientific way. By following these structured tests, brands can make data-driven decisions, understand what changes actually drive performance, and continuously optimize their catalog advertising.

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