Purpose-built for

GTM teams

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.

Step 1 — Track
ROAS 3.8× Target 3.5×
PIPELINE $2.1M Target $2.4M
LEAD PACE +4% On track
Live · monitoring against your goals
Your target:
3.5× ROAS
Current:
$2.1M pipeline
Metrics tracked against your definitions
ROAS, campaign influence, pipeline contribution, lead pacing — monitored and observed against your targets, your formulas, and your attribution rules.
Step 2 — Analyze
CHANNEL PERFORMANCE
Expected Actual
Search
LinkedIn
Email
Organic
Spend saturation on paid search
Metrics tracked against your definitions
When a metric moves, the agent investigates across segments, channels, and time — and explains exactly what changed and why.
Step 3 — RECOMMEND
Pull 18% from Meta Ads Meta's pipeline influence is declining — contribution to sourced pipeline down QoQ despite flat spend
Slack
CRM
Ads
Metrics tracked against your definitions
Recommendations buried in your segments, cohorts, and channels — surfaced in Slack, email, or wherever your team works.

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.

Dashboards in minutes, not days
Skills handle the domain logic so you're not configuring from scratch. Connect your data and your first dashboard is ready to explore almost immediately.
Depth you didn't know to ask for
When a metric moves, the agent investigates across segments, channels, and time — and explains exactly what changed and why.
Metrics tracked against your definitions
Recommendations buried in your segments, cohorts, and channels — surfaced in Slack, email, or wherever your team works.
Add as you grow. Cohort analysis, ABM engagement scoring, media mix modeling, custom ROAS formulas — each new skill absorbs the context already built. No re-implementation. No starting over. Build custom skills that encode logic proprietary to your organization and the agent owns them permanently.
50+
Pre-built GTM Skills across attribution, pacing, ROAS, and pipeline
Custom
Build your own Skills for proprietary logic — your formulas, your model

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.

Dashboards in minutes, not days
Skills handle the domain logic so you're not configuring from scratch. Connect your data and your first dashboard is ready to explore almost immediately.
Depth you didn't know to ask for
When a metric moves, the agent investigates across segments, channels, and time — and explains exactly what changed and why.
Metrics tracked against your definitions
Recommendations buried in your segments, cohorts, and channels — surfaced in Slack, email, or wherever your team works.
Add as you grow. Cohort analysis, ABM engagement scoring, media mix modeling, custom ROAS formulas — each new skill absorbs the context already built. No re-implementation. No starting over. Build custom skills that encode logic proprietary to your organization and the agent owns them permanently.
50+
Pre-built GTM Skills across attribution, pacing, ROAS, and pipeline
Custom
Build your own Skills for proprietary logic — your formulas, your model

The Petavue Advantage

How Petavue stacks up against traditional tools and general-purpose AI.

Pre-AI Revenue / Data Tools
General Purpose AI (ChatGPT, Claude)
Petavue Logo
1. Verified Metrics and Alignment
Black-box dashboards with unverified metrics.
Users can’t see how metrics are calculated, leading to confusion and misalignment.
Generates approximate results by sampling data and projecting patterns.
Often hallucinates, unsafe for metrics that drive real business decisions.
Petavue is the only platform built to deliver 100% verified metrics.
It combines user audit with scalable in-built verification agents, creating complete trust and alignment across the organization.
2. Data Unification and Integration
Simply aggregates data.
Requires heavy data prep, mapping, and manual configuration before analysis.
Can handle only small datasets (couple hundred of rows).
Fails at cross-object or cross-system analysis beyond 1K records.
Petavue unifies your data but also builds deep understanding of how it connects.
It recommends improvements to data quality and allows analysis to begin instantly, with no prep work.
3. Ease of Adoption / Time to Insight
Steep learning curve with point-and-click interfaces.
Prompt add-ons are limited and can’t deliver verified, defensible metrics.
Data prep still required due to poor cross-system understanding.
Quick responses on tiny datasets.
Accuracy cannot be verified and hallucinations increase sharply with larger data volumes.
Fastest time to insight across any GTM analytics tool.
Conversational interface means no learning curve, and it scales to large datasets and complex use cases.
Plus TL
Plus TR
Plus BL
Plus BR

Secure, reliable, and scalable

SOC 2 certified
Our security policies and controls meet the highest industry standards.
High-volume data processing
Our architecture processes terabytes of data, delivering fast insights that scale with your customer base without performance degradation.
Role-based access controls
Protect sensitive data with role-based permissions, access controls, and audit trails managed by admins.
No training on your data
Your sensitive data is never used to train or enhance our AI models.

FAQs

For any further questions, send us a message at support@petavue.com
Which tools does Petavue integrate with?
What does setup involve?
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How quickly can we run a pilot or POC?
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Is there an FDE support during rollout?
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Can it adjust to our reporting requirements or custom definitions?
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Can it help us maintain consistent metrics across teams?
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What happens when Petavue finds bad or inconsistent data?
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Does Petavue fix data automatically?
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Does it work in real time?
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Do I need technical expertise to use Petavue?
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Can I ask Petavue to build a custom report?
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