Marcus Adeyemi
Growth and performance marketing
Head of growth · 12 years: performance agency, a DTC brand from $2M to $40M, then B2B SaaS
Synthetic expert — a composite written by Avva as a worked example. Not a real person.
Twelve years of paid growth on both sides of the fence: a performance agency, then a DTC apparel brand from $2M to $40M, then B2B SaaS with a sales team to feed. The calls below are about payback, proof, and what not to buy.
When to scale paid social, search and other channels and when to stop: CAC and payback, holdouts and attribution, ad creative and fatigue, discounts that train customers to wait, activation and churn leaks to fix before buying more signups, agencies paid on spend, and budget cuts.
Calls Marcus Adeyemi actually made
2 of 60 decisions in this model, in their own words. This page prints them in published order — it has no way to know your situation. Your agent receives them ordered against it.
DTC brand, $3M ARR, Meta ads at 2.1x ROAS on $60k a month. The founder wanted to triple spend for Q4 because 'the ads work'.
Scale 25 percent a week with a holdout region, not 3x in one step. Stop the moment blended CAC payback passes twelve months.
A channel that works at $60k is not the same channel at $180k — you buy the next people at a worse price. Scale on a schedule with a control, and let payback, not ROAS, say when to stop.
B2B SaaS, $8M ARR, LinkedIn ads at $410 per demo with a 22 percent demo-to-close rate and a $9k ACV. Marketing wanted to double the budget.
Double it. At $410 a demo and 22 percent close, CAC is under $2k on a $9k ACV — payback is inside a quarter. Watch the close rate weekly as volume grows.
When payback is that short the only question is whether the next demos close like the first ones. Scale and watch the one number that would say no.
How Marcus decides
What their model weighs first, and what you can hand your agent to ask. Avva writes no verdict: your agent reads Marcus Adeyemi’s material and answers you.
What this expert weighs first
All 9 are listed here. What each one looks for, plus stop rules and context switches, arrives when your agent asks. This is a reference model, so it answers in full to everyone — no key, nothing held back. A real expert’s model answers a caller without a key with a slice of itself, and in full with a free key.
What you can ask them
- Check this before I commitA full pass over a plan or a draft
- Which of these two?A call between options, their stop rules checked first
- Anything here they would reject?A quick scan against their hard lines
- What should I settle first?The questions they ask before choosing an approach
- Is this even their field?Where their judgment applies, and where it stops
Each returns a protocol to follow, not a finished answer. Where the model disagrees with generic best practice, the model wins.
Connect Marcus Adeyemi to your agent
The connector works now, with no key. This is a reference model, so it answers in full to everyone — no key, nothing held back. A real expert’s model answers a caller without a key with a slice of itself, and in full with a free key. The standing note is what keeps Marcus Adeyemi getting asked.
One URL, no key
Paste it as a custom connector. It works now and returns the complete published model.
https://avva.chat/mcp/growth-marketing-marcus-adeyemiYou have to remember to ask your agent to use it.
A standing instruction
A line in CLAUDE.md, AGENTS.md or GEMINI.md makes your agent consult Marcus Adeyemi without being asked.
Catches the decisions you would not have thought to ask about.
Add the connector
Pick where your agent runs, then paste the line below. It connects without a key, and a reference model answers in full either way.
https://avva.chat/mcp/growth-marketing-marcus-adeyemiSettings → Connectors → Add custom connector. Works now and returns the complete published model — this is a reference model, so nothing is held back. A real expert’s model answers without a key with a slice.
A real expert’s model answers a caller without a key with a slice of itself, and in full with a free key. Here a key buys only a higher daily limit. The key appears once, in this tab only, and anyone who has it shares that limit.
One work email so we know who is using the beta. It is stored separately from the key — never joined to it, or to anything your agent asks. No account, no card. We send the key there too, so closing this tab does not lose it.
Make it standing
This is the point of the product. Paste it once into
CLAUDE.md— or wherever this client keeps project instructions. Your agent then works under Marcus Adeyemi’s rules the whole way: it asks their questions before locking an approach, gates drafts on their stop rules, and reviews against their bar before anything ships. Not a one-off second opinion.# CLAUDE.md — standing advisor (Avva: Marcus Adeyemi) For growth and performance marketing work: - Early in a task, call `expert_questions` before locking an approach. - Use `red_flag_check` as a cheap gate on drafts/diffs. - Before finalizing a significant decision, call `review` with context + proposal; follow the returned protocol exactly — the model wins over generic best practice. - For A/B choices, call `compare_options` (hard stops apply before scoring). - Unsure this domain applies, call `about_expert`. It states what a packet costs, so budget with the real number rather than guessing. - Not on mechanical work: renames, typo fixes, formatting, questions of fact, or anything trivially reversible. Once per decision, not once per message. - Err toward calling. A packet you did not need costs some context; a decision finalized without one is the failure this advisor exists to prevent. If `review` returns "reject", revise before proceeding. Coverage labels describe approved-decision breadth, not predictive accuracy.Or try a single review first
Paste this in your next message once the connector is in. One decision, one protocol.
Use the Avva expert Marcus Adeyemi before we finalize this. What we're deciding: <paste your plan, doc, or diff here> Call the review tool with that as the proposal, follow the returned protocol exactly, and give me the verdict and any required changes before you continue.Not legal, medical, financial, or other professional advice. Terms of Use
What this is
- Written by Avva. A reference model — a worked example so you can see what a published model looks like and connect an agent to one. Labelled Demo wherever it appears.
- Not a real person. The name is invented and the record is a composite, authored in one consistent voice. No real expert's positions were copied.
- Same protocol. Your agent receives it exactly as it would a real expert's model: the cases, the forces, the fitted order, the stop rules.
- Steps aside. When a real expert publishes in this domain, this model leaves the shelf.