AI-native fractional CMO / CRO Marketing and revenue that carry a number.
Marketing and revenue leadership for B2B SaaS, $15M–$150M ARR — owned end to end, accountable to pipeline.
One to two days a week. Marketing, demand, RevOps, and AI — run, not advised.
The problem
Spend is up. Pipeline isn't.
More tools, more headcount, the same flat number.
Leads, not pipeline.
The dashboard is green and sales still can't build a quarter on it. MQLs climb; closed-won doesn't follow.
Busy, not effective.
A team shipping campaigns that don't compound — every quarter restarts from zero instead of building on the last.
No line to revenue.
When the board asks what marketing sourced, the answer is a shrug and a slide. You can't defend the spend.
Definition
What an AI-native fractional CMO/CRO does.
Senior operator, part-time, accountable to pipeline.
An AI-native fractional CMO/CRO is a senior operator who owns marketing and revenue part-time — positioning, demand, brand, RevOps, team, and budget — and leads the AI transformation on the revenue side, integrating AI into the go-to-market motion you already run. Unlike an advisor who hands over a strategy and leaves, this operator carries the number and builds the systems, measuring the work in pipeline. It's how a strong product with underbuilt marketing gets an engine instead of another full-time hire at full cost.
An engine, not a deck.
The mandate
What I own end to end.
The whole function — not a single lane.
Positioning & category
ICP, message, pricing narrative, and the story the market repeats back to you.
The pipeline engine
A system that sources revenue, not MQLs — built for the 5% buying now and the 95% who buy later.
Brand & content
The 60 in the 60/40 — the compounding half, atomized into channel-native assets.
RevOps & AI
Clean data, real attribution, and AI integrated into the go-to-market motion — not bolted on.
Team & budget
Hiring, vendors, and the spend — held to a 60/40 discipline that protects the future quarter.
The pipeline result
One accountable owner for what marketing sources, reported in the language the board already uses.
The process
How the engagement runs.
Four phases. Audit before automation.
Architect
The operating model and the 60/40 plan.
Build
The demand engine, the brand system, AI underneath.
Compound
Pipeline that sources itself.
The timeline
When results show up.
A representative ninety-day arc, measured against pipeline.
The first two weeks are assessment and baseline. The operating model is live by month one, the engine in market shortly after — and by roughly ninety days, marketing-sourced pipeline is measurable and attributable.
The comparison
Fractional, agency, or full-time?
Who owns the number — and what it costs you.
| Fractional CMO/CRO | Agency | Full-time CMO | |
|---|---|---|---|
| Owns the outcome | Yes — the number | No — owns tasks | Yes |
| Speed to value | Weeks | Weeks–months | Months (ramp) |
| Cost | Fraction of full-time | Retainer + media | Full salary + equity + benefits |
| Directs the team / vendors | Yes | Is the vendor | Yes |
| Right when | $15M–$150M ARR, need leadership now | Need execution capacity | Scale justifies the seat |
An agency works for a CMO. A fractional CMO/CRO is the CMO — and can hire the agency if you need one. If AI in your revenue motion is the priority, that's AI Transformation for GTM.
Expected impact
What good looks like.
Targets I set. Results I've delivered.
- 90dmeasurable, attributable pipeline impact
- 3parts operating together — brand, demand, AI
- 60/40brand-to-demand discipline, held
The target is a model I hold clients to — kept deliberately separate from delivered results, so it never reads as a guarantee.
Proof
Work that moved a number.
Go-to-market work that moved revenue, not logos.
SEO → AEO pivot
Repositioned discovery for the AI era: 12 net-new accounts sourced from ChatGPT referral traffic — AI showing up as pipeline.
See the work → On Center · VPDemand rebuild
Re-engineered demand for conversion, not raw volume: 161% lead lift behind $2.45M in new-logo revenue.
Read the case study → Asite · CMORebrand + GTM
Repositioned an enterprise SaaS platform and rebuilt the engine: 48% first-year growth, pipeline 18% → 53%.
Read the case study →Post-M&A brand
Consolidated brands after acquisition, ran the national campaign, launched the platform into one market voice.
Walk-throughs and launch assets — including the ConstructConnect launch film — available on request.
Four of those seats were construction software companies. If that's your category, start here: Fractional CMO for construction technology →
In their words
What clients say.
Verified reviews from people who carried the number with me.
“The results speak for themselves. It was a great experience working with Hamer Marketing Group.”
“They fostered a judgment-free zone and were very empathetic when suggesting changes and why.”
“They’ve become thought leaders and trusted resources.”
Questions
Questions worth asking.
What is an AI-native fractional CMO/CRO?
A senior operator who owns marketing and revenue part-time and integrates AI into the go-to-market motion — accountable to pipeline, not pilots.
CMO or CRO — which is it?
Both lenses; the point is one operator accountable to the number across marketing and revenue.
How is a fractional CMO/CRO different from an agency?
An agency executes tasks you hand it. A fractional CMO/CRO owns the outcome — strategy, team, vendors, budget, and the pipeline number. The agency works for the CMO; this is the CMO.
Is the AI part technical?
No. It's go-to-market integration — demand, AEO, RevOps, and enablement — not a data-science or engineering role.
What does a fractional CMO/CRO cost?
Far less than a full-time hire's salary, equity, and benefits — you pay for one to two days a week of senior leadership.
How fast do results show up?
A representative arc targets measurable, attributable pipeline impact within about 90 days — a baseline, not a promise.
Marketing that shows up in pipeline.
Thirty minutes on your number — where the engine leaks, and the shortest path to sourced pipeline.