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✋ Holdout Analysis in Product Analytics
4/16/2025
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✋ Holdout Analysis in Product Analytics
You can now filter or break down any Product Analytics chart by holdout group, making it easier to measure the combined impact of multiple features.
What You Can Do Now
Filter any chart to only include users in a specific holdout group
Break down metrics by holdout status to compare behavior between held-out users and exposed users
How It Works
Holdouts are used to evaluate the aggregate effect of multiple features—not just individual experiments. A holdout group is a set of users who are intentionally excluded from a group of features or experiments to serve as a baseline. Now, you can use that same grouping to filter or break down any Product Analytics chart.
To apply, use the filter or group-by menu on a chart and select the relevant holdout.
Impact on Your Analysis
Holdout analysis helps you answer questions like:
What’s the total impact of all features launched in the last quarter?
Are users in the holdout group retaining or converting differently than exposed users?
It gives you a high-level view of product changes—beyond individual experiments—using the same familiar Product Analytics workflows.
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