27 automated tasks analyze every channel — ads, funnel, churn, competitors, website conversion — and generate intelligence every day, week, and month.
Facebook is burning $70K for 16 appointments at $4,378 CPA while Google delivers 12 appointments at $2,090 CPA. The system caught this automatically — no one had to check a dashboard.
Creative, lifecycle, outbound, sales, ads, SEO, newsletters, LinkedIn — every channel has a dedicated execution module with shared intelligence.
The real power isn't any single output. It's that every output makes the next one better. Compounding loops turn one-shot generation into persistent improvement.
"We need someone who understands AI marketing, not just traditional digital."
Generates variant: "Your AI startup deserves an AI marketing team"
Same "AI marketing" framing in cold email subject lines
Winning hook becomes email subject for re-engagement sequence
Each loop learns. Each loop feeds the others. Run 1 is a guess. Run 100 is a knowledge base.
Before anything ships, the system can run it through a panel of experts with quantified rubrics from their actual published frameworks. Auto-selected 3-5 per task type. Parallel scoring, then a debate layer resolves disagreements.
Every lever is quantified. Every scenario is modeled. The system maps execution to revenue impact.
| Scenario | Active Clients | Gross ARR | Key Moves |
|---|---|---|---|
| Do nothing | 275 → declining | $27M → $13M | — |
| Churn fix only | 400 | $39M | Retention 85% → 93% |
| Churn + acquisition | 550 | $53.6M | + Scale organic, stabilize form fills |
| + AI segment | 550 core + 100 AI | $84M | AI @ 3.4x ARPC is the multiplier |
| Full execution | 600 core + 120 AI | $99.5M | All 7 levers firing |
The system doesn't replace your team. It gives your 3-person marketing team the analytical depth of 15 and the experiment velocity of a growth lab.