Agent 08 · Revenue Ops Automation
Revenue Pulse: real-time pipeline analytics for AI GTM engines
The command center for the AI GTM engine. Tells you which agent earned its keep this week, which signal source decayed, and where to redeploy effort. Without it, you’re flying blind on a stack you don’t fully understand yet.
You can’t optimize what you can’t see. The other 7 agents need Revenue Pulse to know when something’s breaking before it shows up in next quarter’s numbers. Part of the complete AI GTM engine guide.
What Revenue Pulse measures
- Per-agent attribution: meetings booked traced back to Intent Watcher signal vs Lead Sourcer source.
- Cost per meeting: total stack cost / meetings booked, with per-agent breakdown.
- Signal-source decay: which sources still convert vs which have burned out (signals lose effectiveness as they get common).
- Reply-rate cohorts: by ICP segment, by signal type, by sequence variant.
- Deliverability tracking: per-provider placement rate, alerts when Outlook breaks.
- Forecast vs actual: what the engine predicted last week vs what closed.
Why this matters
Signal sources go stale. Sequences fatigue. Deliverability erodes. An AI GTM engine without Revenue Pulse looks great in month 1 and quietly degrades by month 4. Revenue Pulse surfaces the degradation early enough to fix the right agent without blowing up the whole stack.
Stack
Supabase for the event log (every agent writes events). Next.js dashboard hosted on Vercel (in your repo). Slack bot for daily summary + threshold alerts. Charts via Tremor or Recharts. Optional integration with Linear or Notion for the weekly review.
FAQ
What metrics does Revenue Pulse track?
Pipeline velocity per stage, agent-attributed meetings, cost per meeting per agent, reply rate per ICP segment, sequence performance, signal-to-meeting conversion, blended CAC, projected vs actual pipeline, and per-agent cost vs revenue contribution.
Is it a dashboard or a Slack agent?
Both. Dashboard is a Vercel-hosted Next.js page in your repo. Slack agent posts daily summaries and fires alerts when key metrics break threshold (deliverability drop, reply-rate drop, signal source going stale).
Can I add custom metrics?
Yes — metrics live as queries against your Supabase event log. Adding a metric is adding a query + a chart. Done in your repo, deploys with the rest of the stack.
How is this different from a generic BI tool?
Revenue Pulse is purpose-built for the 8-agent AI GTM engine. The metric definitions are the right ones for this architecture: per-agent ROI, signal-source decay, reply triage accuracy. Generic BI would need months of modeling to get the same view.
Sources & further reading
- [1]Supabase — Supabase
Event-log datastore every agent writes to; Revenue Pulse queries it for metrics.
- [2]Tremor — Tremor dashboard components
Charting library used to render the Revenue Pulse dashboard in your repo.
Ship the full 8-agent engine in 14 days
Revenue Pulse goes live on day 12 with the rest of the RevOps pillar. By day 14, every agent has a measured ROI.
Book live demo on your dataRelated: CRM Auto-Pilot · Pillar guide