From warehouse data to a decision-safe report.
Stop rebuilding the same analysis for every test. Connect the data once, let results refresh on a schedule, and share standardized reports with the caveats attached - instead of another one-off analysis.
Queries run in your warehouse, raw data never leaves
The problem
Every report starts from scratch
You spend more time finding the test setup than analyzing it. Everyone wants the result, nobody logs the hypothesis - and the same methodology debate restarts on every second test.
Without ConveriseWith Converise
- Without Converise: A fresh query and spreadsheet for every single reportWith Converise: Bound to your warehouse once, refreshed on a schedule
- Without Converise: Stakeholders questioning methodology and numbersWith Converise: One method for every test, lift and p-value per variant
- Without Converise: Sanity checks redone by hand - when there's timeWith Converise: Automated quality checks on every single review
- Without Converise: Refreshing a dashboard to see whether a test brokeWith Converise: Alerts after every refresh, in-app and by email
The analysis you'd defend, automated
Native connectors to your data platform
Bind an experiment to your warehouse once - BigQuery, Databricks or Snowflake - and evidence flows in on a schedule. No warehouse? Manual entry and a simple API cover the rest.
- BigQuery, Databricks and Snowflake supported today
- Set up once, refresh automatically
- Only summaries are stored - raw data stays in your warehouse
One report, the same for every test
Every test gets the same report, refreshed from the warehouse - nothing rebuilt in a notebook.
- Primary and guardrail KPIs side by side
- Lift, p-value and the daily trend per variant
- Recommendation, confidence and next actions
Segment effects with the caveats attached
Every declared segment gets its own uplift per KPI - so you find the segments a win hurts before you roll it out.
- Uplift per segment and KPI, with the sample size
- Contradictions and low samples flagged inline
- Open a segment for control and variant side by side
The checks you'd run by hand, run every time
Every review runs a battery of automated quality checks - randomization, sample size, guardrails and more - so a broken test gets caught before it becomes a decision.
- Automated checks on every single review
- Blocking risks listed in plain language
- Segment findings ship with their caveats attached
Know when something happens to your test
Set up the alerts you care about and every data refresh checks your running experiment against them. If something changes, you get a notification instead of watching a dashboard.
- Alerts fire right after each refresh
- In-app and email
Three steps, no migration
Connect the data
Point an experiment at your warehouse table - or enter the results by hand.
Let it refresh
Evidence updates on a schedule and every refresh re-runs the checks automatically.
Share the report
Standardized effects, warnings and a recommendation - one page you can link, not rebuild.
Questions from your seat
Didn't find yours?
support@converise.ioDo you ingest our raw event data?
No. The heavy lifting happens in your warehouse and only summary results are stored. Raw events and user identifiers never leave your platform.
I can do all of this myself in SQL and notebooks.
You can - once. Converise turns that one-off work into a standing pipeline: same methodology, every test, refreshed automatically, with a report that answers stakeholder questions without you.
Will the statistics match our internal standards?
The methods are standard, deterministic and fully explainable - and every result shows which method was applied and why. Same evidence in, same numbers out, reproducible on your side.
Which platforms are supported?
BigQuery, Databricks and Snowflake natively, with manual entry for any other source. More connectors follow real workflows, not logos.
My tool isn't on the list.
Converise is in early access and we are adding integrations as people ask for them - more warehouse connectors, tool integrations and MCP imports are in the works. Every request shapes the order, so tell us what you use at support@converise.io.
Standardized, explainable statistics for every experiment.
Connect once, refresh on schedule, and ship reports your future self can reproduce.
Free during early accessNo credit card