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.
Three things the agent does continuously — with no prompting required once you've configured your definitions.
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.
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.
Define what the agent monitors, when it alerts, and what it delivers — and where. Configure once; the agent runs them continuously.
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.
What changes for your team
A story leadership trusts.
For CMOs who need verified metrics to stand behind — and a clear case for marketing's contribution to revenue.
Core marketing metrics tracked continuously — not assembled the week before a board meeting
Budget recommendations grounded in your closed-won data — not industry benchmarks
Every analysis is explainable — full source lineage from raw data to executive summary
Stakeholders can self-serve answers via Sage — without waiting for your team to pull a report
No more manual pull before board meetings — dashboards are already current
Grounded in your closed-won patterns, not industry averages
Full lineage and assumptions documented on every metric
Not lagging indicators.
For demand gen leaders who need to know what's working while there's still time to change it.
Campaign underperformance detected against your baseline — not after quarter-end
Lead pacing monitored by segment with early warning before a shortfall becomes a pipeline miss
Channel attribution enforced against your definitions — no silent crediting of low-intent touches
Every insight comes with a specific recommendation and budget estimate attached
Underperformance caught against your baseline while there's time to act
Warning before it shows up in the pipeline report
Recommendation with budget impact estimate — no separate analysis needed
No pipeline to maintain.
For Marketing Ops leaders who need the analysis to match their definitions — without owning the infrastructure that makes it work.
Key definitions — qualified opportunity, campaign influenced, SDR sourced — enforced automatically on every output
Definition updates take effect immediately — no engineering tickets, no deployment cycle
Custom Skills for proprietary logic — your blended ROAS formula, your ABM scoring model — owned permanently by the agent
Agent runs continuously without ops resources required to keep it running
Every output checked against your definitions automatically
Change a definition — active on the next output, no deployment needed
No ops team required to keep the agent running
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