One approved plan. A Brain that checks it every morning.
Every module works from a versioned growth plan your client approves. Each morning the Growth Brain reads the signals, proposes the next moves and measures what each move did.
Growth Brain · today, 7:00
Shift budget from the campaign whose cost per qualified lead is above plan
- Cost per qualified lead above the plan's target for 5 days
- The other search campaign is under target with budget left
1
The problem
- Ads, content and follow-up are run by different people against different goals.
- Nobody notices a campaign drifting off target until the monthly report.
- Recommendations arrive without evidence, and nobody checks whether they worked.
2
How it works
A plan with ranges, not promises
Personas, a channel mix and three budget scenarios with forecast ranges, built from research and your baseline.
Approval and versions
The client admin approves the plan. Changes become a new version, proposed by the Brain or by your team.
Daily Growth Brain
From 7:00 local time it reads more than 40 signal sources (pacing, cost per qualified lead, funnel, response times, tests) and runs over 100 playbooks.
One-click actions
Each recommendation comes with its evidence and an action that goes through the normal approval path. An edit can only make a spend change smaller.
Outcome tracking
Days after an action, the metric is compared before and after against a control and marked helped, no effect, hurt or unclear. That feeds what the Brain proposes next.
3
What you approve
- The growth plan and every new version of it
- Each recommendation's action, unless your autopilot policy allows it
- Budget changes above your limits
4
What you get
- A plan everyone works from, with targets and a baseline
- A short list of next moves every morning, with evidence
- A record of what each move did
Where it stands today
Live. Background runs use rules and templates; a model only adds wording and never decides the numbers.