00 // Watch
Ninety seconds of the layer running.
Twelve platforms connected, waste found and fixed, audiences and ads built, budgets moved, losers shut down, new channels launched, every decision remembered.
The film has no narration; this is every line that appears on screen. Platform names are vendors, not clients. The sample ads are for invented businesses.
The Marketing Intelligence Layer
The Marketing Intelligence Layer is the system I build inside every client. It connects to every platform you spend or measure on, across every brand you run, and reads them live, so any question gets answered in minutes. Then it does what the film shows: finds the waste, tunes bids and budgets, builds audiences and the ads that speak to them, moves money to what earns it, shuts down what doesn’t, tests everything, launches new channels with hundreds of ads, and remembers why. You sign every change.
▸ Less wasted spend · more new customers · every dollar accounted for
01 // Connect
One connection per platform, read live, across every brand you run. Nothing is exported and nothing is copied. The question goes to the source and the answer comes back. Add a platform and it joins the same picture.
Spend
Measure
Lifecycle
Attribution
02 // Run
Ask
Which brand’s cost per new customer moved this week, and why? Which campaigns are spending without converting? Ask in plain language. The answer comes from live data at the moment you ask, not from last Tuesday’s export.
Watch
Standing audits sweep every account across every brand: irrelevant search terms, overlapping audiences, low-quality placements, broken tracking links. Each one is flagged, fixed, and logged. A weekly executive brief publishes itself, and anything outside its normal range lands in Slack before anyone goes looking.
Decide
Budgets rebalance monthly across platforms on evidence, not on whoever argued loudest. Kill criteria are written before the first dollar, so a campaign that meets them gets paused, not debated. Every idea runs as an experiment: the winner rolls out, the loser retires. A quarterly growth review steers the next round.
Act
Bids, budgets, keywords, and targeting are tuned. Audiences are built from first-party data and synced to the platforms that use them. Ads are written for every audience, and a new channel opens with hundreds of them on day one. Changes go out through the Meta API, Google Ads Editor, and Microsoft Ads Editor. Nothing goes live without a person’s sign-off, and every write is logged and reversible.
Cadence //
03 // Remember
Every decision, business rule, prior result, and lesson learned is written into a structured knowledge base inside the project: what your goals are, which campaigns are off-limits, why a change was made, what went wrong last time.
Each new session starts with full context instead of a blank slate. Over time it becomes the institutional memory of your marketing, and it stays with you when people don’t.
Read at the start of every session. Written at the end of every one.
04 // Report
Four of the documents the layer produces, redrawn with the numbers and names removed. What survives is the shape of the insight: a target tracked to the week, a customer base cross-checked across sources, every account change marked on the spend it changed, and a quarter reviewed channel by channel.
PF // Weekly executive brief
ON TRACKPF // Customer base report
CROSS-CHECKEDPF // Account changes & impact
SIGNEDPF // Quarterly growth review
COMPOUNDING05 // Trust
0
copies stored
Nothing is copied or stored from the platforms. Every figure is read from the source at the moment of the question.
100%
of writes logged
Every change is recorded and reversible. You always know what changed, when, and why.
1
human sign-off, every change
Recommendations are automatic. Pushing them live never is. A person approves each one first.
Built inside your business. Yours to keep.
Two emails and one call. I’ll tell you honestly whether the layer would pay for itself in your business, and how fast.