How it actually works
Not the brochure version. Where the findings come from, what sits behind a decision before it runs, and how you hear about any of it.
It sees what your
platforms cannot
Google Ads knows clicks. Shopify knows orders. Neither of them knows that your best performing campaign is selling the product you make the least money on. Most of what is worth finding sits in the gaps between tools, so the engine reads them together rather than one at a time.
And it remembers what happened
Every change is checked against the result it produced. A call that paid off raises the confidence on similar ones. A call that did not gets discounted next time.
So the account you connect in January is not the account it is working on in December. By then it has your seasonality, your margins, and a year of evidence about what actually moves your numbers.
Every recommendation
shows its working
A number on its own is not an argument. Each one arrives with the account data it came from, the check that found it, the reason for acting, and a confidence score you can hold it to.
What is actually true for your account. Your margins, your target CPA, your history. Not category benchmarks.
The maths, run across every connected channel every night. Waste, bidding, structure, anomalies.
Established practice from people who run accounts for a living, rather than what the ad platforms recommend for themselves.
Weighs all three against what is happening right now, acts on it, and records why. While you sleep.
You were bidding on terms you already rank first for organically. Paused the paid spend, kept the positions.
You do not log in
to find out
Routine changes run on their own and turn up in your morning briefing. When you do want to ask something, ask from Claude, Slack, Teams or ChatGPT and you are reading live accounts rather than a spreadsheet somebody exported on Friday.
Run it on your own account
Connect two channels and your Marketing Health Report lands within 48 hours. You see what it finds before you pay for anything.