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💰 Query Cost Attribution
8/19/2026
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💰 Warehouse Native Query Cost Attribution
Statsig WHN queries now carry cost attribution tags in your warehouse, so you can see exactly what Statsig activity is driving your compute costs.
What you can do now
Every query is stamped with is_whn, a type (experiment, gate, etc.), the experiment or gate name, a job type, and the reload ID. Tags land natively in each warehouse — nothing leaves your account:
Snowflake — session
QUERY_TAGinACCOUNT_USAGE.QUERY_HISTORYandQUERY_ATTRIBUTION_HISTORYBigQuery — job labels (
type=whn_query) inINFORMATION_SCHEMA.JOBSRedshift —
query_groupinSYS_QUERY_HISTORY.query_labelDatabricks — statement comment in
system.query.history
Why this matters
Before , you could see total spend but had no way to attribute it to a specific experiment or job type in Statsig. Now, you can point one query at your warehouse's usage view, filter to Statsig WHN queries, group by experiment, and get per-experiment reload cost, making it straightforward to spot expensive reloads and change your schedule.
Try it out
Filter your warehouse usage view to is_whn:"True" (or type=whn_query on BigQuery) and group by experiment to see per-experiment reload costs.
Learn more in the Statsig Warehouse Native docs.
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