- Works from whatever you paste into it — partial inputs, rough opinions, screenshots
- Returns the most plausible-looking answer, fast — even when plausible and correct aren't the same thing
- Nobody owns the answer
The loudest problem is rarely the real one.
For CEOs of $1M–$250M companies who suspect the story the team is telling about the numbers isn't the one the numbers are telling — and who'd rather know before authorizing the next big spend, hire, or rebuild.
What the diagnostic has already found inside real businesses.
The funnel wasn't the problem.
Diagnostic identified that sales was disqualifying 40% of leads within 48 hours on a routing logic error. The funnel rebuild was cancelled. A two-week process fix recovered the pipeline.
The agency wasn't the problem.
Ad platform was optimizing toward an on-site action that did not predict revenue. Agency was executing the brief correctly; the brief was wrong. Fix took one week and did not involve replacing anyone.
The team wasn't the problem.
Marketing was reporting one story. Finance was reporting another. Neither matched the CRM. Diagnostic isolated the measurement gap. The VP hire was deferred; an operating fix closed the gap first.
Findings above are representative and anonymized. Each reflects a real engagement; identifying details have been altered to protect client confidentiality.
You already know something is off.
The team can't name it. The dashboard won't either.
If two or more of those landed, the bottleneck isn't where you're looking.
The real risk isn't a bad month. It's authorizing the wrong fix.
A wrong diagnosis at this scale rarely costs $3K. It costs the agency you replace that wasn't the problem. It costs the CMO you hire to solve what a process change would've fixed. It costs the rebuild, the reallocation, the relaunch. And it costs the quarter you spend discovering the loudest problem wasn't the real one.
Visible problems
- Customer acquisition keeps getting more expensive, and no one can cleanly explain why
- Traffic is up. Revenue isn't tracking with it.
- Sales blames lead quality. Marketing blames sales follow-up.
- Some weeks perform. Some don't. The pattern never stabilizes.
The job is to separate these two columns before you spend another dollar on the wrong one.
Ten days. Five steps. One clear answer.
One click. No discovery call, no sales pitch. Pay $3,000 and you're in.
~ 2 minutesA live conversation with the expert. Real questions, real follow-ups. No form to fill out. A full hour so the questions actually go deep.
60 minutesTwelve years of patterns. Proprietary diagnostic. The expert writes the answer.
5 business daysRanked findings, the bottleneck mapped, and the priority order — read it before the call.
Arrives 24h before the callYou've already read the report. This call walks the findings, answers what you need answered, and locks the sequence you'll act on.
30 minutes- Ranked findings
- A bottleneck map
- A priority ladder
- Confidence scoring
- A sequence you can execute
From surface reports to what to actually do.
Can't I just use AI for this?
You can. You also shouldn't. Models return the most plausible-looking answer from whatever you paste in — not the most truthful one. They can't tell you what evidence is missing, what you didn't think to ask, or where your own framing is distorting the read.
- Works from a structured intake plus targeted evidence review across live systems
- Ranks findings by business impact, confidence, and dependency — so you know what to touch first and what to leave alone
- Signed by a single accountable expert
Our sales are down about 30% this quarter. Ads are still running. Traffic looks steady. Our team thinks conversion is weak. What should we fix first?
- Review your ad targeting and audience segments for drift
- Audit landing page conversion rates and messaging alignment
- Analyze seasonal trends in your industry for Q-over-Q variance
- Check your sales team's pipeline velocity and follow-up timing
- Evaluate pricing and offer competitiveness vs. key competitors
- Run A/B tests on critical funnel steps to identify friction
- Review attribution setup to confirm the data is telling the real story
- Consider whether customer LTV assumptions still hold in the current climate
Plausible. Polished. Unranked, unproven, no owner. Every item is a new project. None of them are the one that matters most.
The controlling issue is not conversion. Your optimization target no longer predicts revenue — and traffic is leaking through the sales handoff before it converts.
Ad platforms are still optimizing toward a lead event that stopped correlating with closed revenue eight months ago. Every surface signal improves while revenue degrades. Six of the seven items your AI would suggest are downstream of this. Fixing them in the wrong order will cost another quarter.
Ranked. Evidence-weighted. Signed by someone accountable. You know what to fix first and what not to touch yet.
The output changes when the questions change.
Why are sales down?
Where is value leaking between traffic, message, funnel, handoff, qualification, follow-up, and reporting — and which leak is upstream of all the others?
Is our conversion rate bad?
Is the conversion action you're optimizing toward even the one that predicts revenue — or is the whole system pointed at the wrong target?
You are not buying access to AI. You are buying a more trustworthy diagnosis than generic AI can produce from partial context and weak questions.
One expert. A proprietary diagnostic engine.
Work that used to take a team six weeks.
The Marketing Diagnostic Engine is a proprietary system built from twelve years of operating decisions inside real businesses — and the patterns that repeat across them. An expert runs your case through it. The engine does the cross-referencing. You get the answer in ten days instead of six weeks.
Twelve years of pattern data — from decisions made, not slides read.
Across a decade of work inside growth teams, agencies, and founder-led businesses, the same failure patterns keep recurring — inside companies that look nothing alike. Different industries, different team sizes, different tech stacks. The same five or six underlying bottlenecks, wearing different costumes each time.
The engine is where those patterns live — codified, ranked, and cross-indexed. The buyer's business is the input. The pattern match is the output.
AI-accelerated synthesis, built on real operating work.
The engine cross-references your situation against a structured library of roughly eight hundred operating patterns — each one a failure mode or leverage point pulled from actual client work, not textbook theory. AI-assisted synthesis is the mechanism that compresses a six-week engagement into a ten-day deliverable.
The output isn't a dashboard or a template. It's a ranked sequence — written by the expert, supported by the engine, shaped to your specific business.
A comparable diagnostic from a mid-tier consultancy runs $40K–$120K over six weeks. A replaced agency or miscast CMO hire costs considerably more. The engine is the reason this is $3,000 instead.
Who this is for.
Strong fit
- $1M–$250M in revenue, CEO-led, meaningful marketing spend
- Performance feels worse than the reports imply
- Marketing, sales, and finance no longer tell the same story about the same customers
- A major decision is imminent — new agency, new CMO, budget reallocation, rebuild — and you want a second opinion before you sign
- Leaders who want a real diagnosis, not a reassuring one
Not a fit
- Pre-revenue or barely launched
- Looking for cheap ad management or traffic tactics
- Expecting the $3,000 to include full implementation
- Not willing to hear an uncomfortable answer
The short version.
You could have the real answer.
$3,000. One expert. Two live calls. A ranked sequence of what to fix, in what order, and what not to touch yet — delivered in roughly ten days.
The cost of a wrong call at this scale is always higher than the diagnostic.
Decide from knowing. Not from guessing.