For the past year I led the entire marketing function for a $1.5 billion company with a team of two. We used AI as a force multiplier and produced what would normally take a full department and a budget to match.
The work is proven. The business model is what I am testing — so the 30-minute conversation and the marketing snapshot I build from it are free.
What you are actually selling, to whom, and whether the way you say it survives contact with a buyer who has other options.
Who you lose to and why, how they are showing up in your market, and the ground that is open for you to take.
The handful of moves worth making next, sized to the team and budget you actually have — not the one an agency would sell you.
Thirty minutes. No deck, no pitch. What is working, what is not, and where you think you are stuck.
If it is a fit, I send ten written questions about your product, your buyer and your constraints. Twenty minutes of your time.
I run your answers against market, competitor and category research. AI does the volume. I do the judgment.
Take the snapshot and run it yourself, or talk about what working together would look like. Both are fine outcomes.
For the past year I led the full marketing function for a $1.5 billion company. The team was two people. We embraced AI early and completely, and what we produced — the strategy, the campaigns, the results — would have taken a robust department and a budget to match.
That experience sits on top of a career spent inside marketing organizations, watching good companies get outmaneuvered by better-marketed ones. The gap is almost never talent. It is that nobody has the time to sit down and think the market through.
Full Bench Marketing exists to close that gap for companies that cannot hire a CMO, a strategist, a researcher and an analyst. AI gives me the leverage of that bench. The experience tells me which of its answers are worth keeping.