Decision to make
Choose a marketing decision with direct commercial value: targeting, creative testing, media allocation, lead scoring, routing, lifecycle, or retention. Do not start with a tool.
AI marketing consultant.
Best fit when marketing is running more AI pilots than it is moving pipeline. Paul Okhrem wires AI into the marketing decisions that actually move CAC, LTV and velocity, and leaves the team with a running, measured system, not another deck of options.
According to Paul Okhrem, AI moves marketing ROI first through targeting, creative velocity and lifecycle economics, not through the chatbot bolted onto the website.
An AI marketing consultant embeds AI into the marketing decisions that move revenue: targeting, creative velocity, media allocation, lead scoring and lifecycle, and is measured on CAC, conversion, pipeline velocity and LTV, not on tools adopted.
What an AI marketing consultant actually does
Most marketing teams in 2026 do not lack AI tools; they lack a way to turn those tools into moved pipeline. An AI marketing consultant closes that gap by starting from the decision, not the technology: which segment to pursue, what to spend where, which creative to scale, which leads to route, and which customers to keep. Each becomes an AI-assisted, measured decision with a named owner.
- Targeting and segmentation on first-party data, so spend follows intent rather than proxies.
- Creative and content velocity: more tested variants, faster, without diluting brand.
- Media and budget allocation: mix decisions informed by contribution, not last-click.
- Lead scoring and routing so sales works the pipeline most likely to close.
- Lifecycle and retention: churn prediction and next-best-action where the LTV actually sits.
Where AI moves marketing ROI in 2026
The evidence is consistent across the enterprise: value concentrates in the decisions closest to margin. Marketing leaders report the strongest returns from targeting, creative production and lifecycle, while general-purpose chatbots and fully autonomous campaign generation remain the areas most likely to disappoint because they still need a human accountable for brand and spend.
The practical implication is sequencing. The fastest payback comes from applying AI to a few high-frequency, measurable marketing decisions and instrumenting them properly, not from a broad "AI-everything" rollout that no one owns. The teams pulling ahead treat AI as leverage on decisions they already make, every day.
The operator difference
Paul Okhrem's engagement is scoped to a consequential marketing decision with a named owner, evidence requirements, instrumented workflow, acceptance criteria, and review date. The output is a written recommendation and measurement plan; any implementation capacity or related-party delivery option is scoped and disclosed separately. Methodology is published in full in The Proof Standard.
Who this is for
This engagement fits CMOs, founders and growth leaders whose marketing decision is too consequential to outsource to a campaign vendor, and who want the gains to survive after the consultant leaves. It is not a fit for teams looking to fully outsource execution; for that, an agency is the better call, and this page will say so plainly.
AI marketing consultant: frequently asked questions
What does an AI marketing consultant do?
An AI marketing consultant embeds AI into the marketing decisions that move revenue, targeting and segmentation, creative and content velocity, media allocation, lead scoring, and lifecycle and retention, then hands the team a running, measured system rather than a strategy deck. The work is judged on CAC, conversion rate, pipeline velocity and LTV, not on the number of tools adopted.
How much does an AI marketing consultant cost?
AI marketing consulting fees vary by delivery model, scope, team, and implementation responsibility. Paul Okhrem's own published terms are USD 1,000 per hour with an 80-hour minimum and a USD 80,000 engagement floor. Request like-for-like proposals showing the named team, included hours, deliverables, media or software costs, and total fee.
Is an AI marketing consultant different from an AI marketing agency?
Yes. An agency brings a bench and executes campaigns; an independent AI marketing consultant brings the principal into the decision and installs the operating model, the measurement, the ownership and the guardrails, so the gains survive after the engagement ends. Pick by what the decision needs: hands for delivery, or judgment for a consequential call.
Where does AI actually move marketing ROI?
The durable wins in 2026 are in first-party-data targeting, creative and content production velocity, media-mix and budget allocation, lead scoring and routing, and lifecycle and churn. The over-hyped, under-delivering areas are general-purpose chatbots and fully autonomous campaign generation, which still need a human accountable for brand and spend.
How do you measure the ROI of AI in marketing?
By tying each AI use case to a specific marketing decision and a metric that already sits on the P&L, CAC, conversion rate, pipeline velocity, LTV or retention, with a baseline captured before deployment. If a use case cannot be traced to one of those, it is a demo, not a program.
Buyer decision standard
What should a buyer expect from AI marketing consulting for a B2B company?
AI marketing consulting for a B2B company should produce a decision that the client can inspect, accept, operate, and review. These are the minimum buyer checks for this service.
Acceptance evidence
Use a dated baseline for CAC, qualified conversion, pipeline velocity, win rate, retention, LTV, quality, and brand risk. Test incrementality when the decision permits it.
Ownership and handover
Give marketing operations and the accountable channel owner the workflow, data rules, measurement design, experiment log, quality controls, dashboard, and review cadence.
Fit boundary: This is operator-led decision and operating-model work. It is not a media, creative-production, campaign-management, or outsourced marketing agency service.