Experiment data
where BI lives.
Marketing sees winners in RunPivot; finance and analytics often need the same rows in Snowflake, BigQuery, or Redshift. Warehouse sync pushes experiment metadata and results on a schedule, so Looker, Mode, and Excel models stay aligned with the test program.
One version of test truth
Stop rebuilding experiment spreadsheets every quarter.
experiments · variants · daily_metrics
Structured experiment records
Each test exports with IDs, URLs, dates, status, primary goal, control and variant metrics, lift, and confidence, the fields analysts expect, not screenshots.
Last sync · 02:00 UTC
Keep warehouse tables fresh
Nightly or hourly sync depending on plan. Data teams join experiment rows to ad spend, CRM pipeline, or revenue tables you already model.
Details on destinations and limits: runpivot.com/pricing
Available on paid tiers
Warehouse sync is a commercial capability, see pricing for which plans include export volume and destination support. Self-serve tiers focus on in-product reporting first.
Why data teams ask about sync
Single source
Experiment history in the warehouse, not email attachments.
Finance models
Lift tied to revenue reporting cycles.
Automated
No manual CSV Friday exports.
Join-friendly
Standard keys for CRM and ads data.
Related capabilities
Analytics
Conversion metrics native to your test program, not a full product analytics suite.
See analytics scopeAlign marketing tests with company metrics.