AI PRODUCT ANALYTICS
Every metric shift, traced to its cause
Trace connects every movement in your metrics to the release, cohort or event behind it.
TRACE EXPLAINS · ACTIVE USERS
Growth is up 8.1% since v2.14 — the new referral prompt is working. Invited users activate 1.9× faster than organic signups.
Root cause: v2.14 referral prompt
TRACE EXPLAINS · CONVERSION
Conversion held steady through the v2.14 release — the onboarding changes never touched checkout. No action needed.
Root cause: no regression from v2.14
TRACE EXPLAINS · CHURN RISK
312 users who skipped step 3 of the new v2.14 onboarding churn 2.6× faster. Trace flagged them 4 hours after deploy.
Root cause: step 3 skipped in v2.14 onboarding
HOW IT WORKS
From raw events to answers, in three steps
THE V2.14 STORY
One release. One dip. Watch Trace work.
CUSTOMERS
Teams that ship smarter choose Trace
“Trace answered in ten seconds what used to take our data team a full sprint.”
“Release annotations alone paid for it. We finally know which deploy moved which number.”
“The anomaly alerts caught a checkout bug before the support tickets did.”
“Our PMs stopped filing data requests. They just ask Trace.”
PRICING
Simple pricing that scales with you
Questions?
We're glad you asked.
How long does setup take?
Most teams connect a data source and see their first AI explanation in under 10 minutes. Warehouse-native mode takes about an hour with your data team.
Does my data leave my warehouse?
On the Scale plan, never — all queries run inside your GlacierDW or ColumnCloud. On Starter and Pro, events are stored encrypted in your region.
Which tools does it integrate with?
StreamLane, Ledgerly, GitHarbor deploys, and Signalroom for alerts. A REST API covers everything else.
Can I change or cancel my plan anytime?
Yes — upgrades apply instantly, downgrades at the end of the billing cycle. No lock-in, export your data anytime.
How accurate are the AI explanations?
Every explanation links to the underlying query and cohort so you can verify it. Teams rate explanations 94% helpful on average.










