AI Marketing Strategist: strategy built on numbers, not gut feel
Analyzes your market, competitors and audience segments, shapes the offer and maps the funnel all the way from impression to closed deal — not just to the click. It calculates CAC and LTV from real sales in your CRM rather than from clicks in an ad account, and once a month delivers an analysis with concrete moves on budget and positioning.
Why marketing runs blind
The budget gets spent every month, yet there's often simply no link between what's spent and the money in the till.
The budget is split by eye
Channels get picked based on last quarter, an agency's advice or a personal hunch — with no calculation of which channel actually brings in deals and which just eats budget.
Nobody measures real CAC and LTV
Reports measure clicks, impressions and leads. But what a customer truly costs and how much they bring in over their lifetime — no one reconciles that against the data in the CRM and the books.
Positioning drifts from one contractor to the next
Every freelancer and agency phrases the offer their own way: one message in one channel, a different one in another. The audience never grasps what sets you apart.
What the AI Marketing Strategist does
Connects to your ad accounts, analytics and CRM — it measures the funnel and the economics from real deals, not from clicks.
- Analyzes the market, audience segments and competitors — what actually works in your niche
- Shapes the offer and USP for each segment and locks in one consistent positioning
- Maps the funnel from impression to deal and pinpoints where customers fall out
- Calculates CAC and LTV from deals in the CRM, not from clicks in an ad account
- Builds and revises the media plan: where the budget goes and why exactly there
- Prepares a content plan to fit the funnel and a monthly strategic analysis with recommendations
How we launch it
Connect the data
Access to the CRM, ad accounts, analytics and your current product materials
Analyze market and offer
Competitors, audience segments, USP — we lock positioning into a single document
Build the funnel and economics
A journey map from impression to deal; we calculate CAC and LTV from real leads
Start the regular reviews
A monthly media plan and content plan, a report with recommendations — you sign off
The first months — with a dedicated manager
The AI is not launched “as is” and left unattended. For the first 1–3 months a dedicated manager runs your process: tunes the system to you, checks every result and fixes mistakes — while the AI learns on your real data in parallel. Nothing goes live without a human in control.
Dedicated manager
A dedicated specialist runs your process by hand together with the AI: tunes it to your documents and rules, checks every result, corrects mistakes. The system learns on your data.
Autopilot or ongoing support
Once quality is stable, you decide: move the process to autopilot (cheaper, the AI works on its own, the manager on standby) or keep permanent support.
Ongoing oversight, if you want it
For critical processes — primary documents, paid ads, contracts — many keep the manager for good: they backstop it, develop scenarios and own the result.
This removes the main fear of automation — “what if it makes a mistake”. Until the AI has proven its accuracy on your tasks, a human is accountable for the result. We agree the format and cost of support around your process.
Where your data is stored
The AI Marketing Strategist works with data from ad accounts, analytics and the CRM — that's revenue, deals and your customer base, so processing runs on our infrastructure in Russia. Decisions on budget, positioning and campaign launches are always signed off by a person: the AI does the economics and proposes the plan, but it never spends budget or changes running campaigns on its own.
More about a local neural network on your own server →FAQ
Related reading
We cover this topic in more depth on the blog
How to Adopt AI in Your Business: A Practical Guide
Where AI actually pays for itself, the three deployment models, the five mistakes that sink projects, what it costs, and a 30-day plan for the first process.
What an AI Employee Costs and When It Pays Off
No salary, payroll tax or sick leave, but real setup and support costs. What makes up the price, when it pays back, and where a human hire is still irreplaceable.
The True Cost Per Lead (Not the One on Your Dashboard)
Ad platforms divide spend by every conversion, including bot submissions and irrelevant enquiries. How to count qualified leads only, and follow it through to cost per customer.
We'll show you the economics of your channels
Give us access to your ad accounts and CRM — we'll calculate CAC and LTV from your real deals and show you where the budget actually goes. Free.
Let us try it on your data
Describe the task and send a couple of typical documents or examples — we will show how the system handles them, before any contract.