Purpose-built for
Your GTM data is scattered. Petavue's agents find what to do about it.
Agents continuously monitor your metrics, surface what's shifting, and deliver specific recommendations — before you know to look for them.
Track. Analyze. Recommend.
Petavue unifies your GTM data, verifies every computation, and presents metrics you can defend, all in one AI-powered workflow.
Not a template. An analyst who already
knows your domain.
Skills are what make Petavue agents understand GTM data — not just retrieve it. Unlike static templates, Skills let the agent adapt concepts to your specific data and produce analysis tailored to your business.
Everything in one place.
Dashboards that stay current, an AI analyst that works across contexts, and workflows you configure to match how your team operates.
Publish dynamic dashboards that update continuously with your live data. Every metric reflects your definitions — not a system default.
Organize dashboards by team, campaign type, segment, or time horizon — structured exactly the way your business thinks about its data.
Set dashboards to refresh daily, weekly, or in real time depending on the metric. Your Monday morning pipeline review is ready before anyone opens their laptop — no manual pull required.
Send dashboard snapshots to Slack channels on a schedule. Stops the cycle of copying numbers into slides manually every week.
Every chart on every dashboard enforces the metric definitions you configured. Change a definition once — every dashboard updates automatically, with no manual reconciliation.
An AI analyst that understands your configured metrics — not a generic chatbot. Works inside dashboards and as a standalone analyst your team can query at any time.
Every dashboard includes Sage. When a chart shows an anomaly, ask Sage directly — "Why did ROAS drop this week?" — and get a verified investigation with full source lineage.
Sage isn't limited to dashboard conversations. Use it directly to run ad hoc analysis, prepare for a meeting, or investigate something your team spotted in a report — available 24/7.
When you ask "Why did paid search CPL rise?", Sage uses the formula you defined, the attribution window you set, and the segments you track. Every answer is grounded in your data and your logic.
Define what the agent monitors, when it alerts, and what it delivers — and where. Configure once; the agent runs them continuously.
Not just "Cost Per Lead is up." The alert explains the magnitude, timeframe, which segments are affected, and what hasn't changed — every detail your team needs to act.
Agent traces the shift across spend, conversion rates, segments, and attribution — surfacing the most likely driver before you ask. Every calculation step is auditable.
A ranked, concrete recommendation grounded in your historical data — with logic and assumptions fully transparent so your team can evaluate it, not just accept it.
Built for GTM data. Not built for everything.
Generic AI tools are powerful — they're just not configured for how GTM ops teams actually work, with specific definitions, attribution rules, and formulas that vary by company.