AI / ML companies sell into a split buyer – a technical evaluator who tests the model and an economic buyer who signs the contract. Performance channels capture the evaluator already in-market. Connected TV reaches the executive who has never typed your category into a search bar but decides whether your deal closes.
The Problem
Your demand channels only reach the technical buyer, not the economic one
AI / ML companies pour budget into paid search and developer channels that capture engineers and ML leads already shopping. But the person who approves a six- or seven-figure contract – the VP, the CFO, the line-of-business owner – rarely searches for your category. That economic buyer enters the deal cold, skeptical, and unfamiliar with you, which stretches the sales cycle and weakens your position in the room. The channels that fill the top of funnel are structurally incapable of reaching the person who closes it.
Trust is the gate, and trust does not get built in a 30-second display banner
Enterprise buyers are wary of AI vendors after a wave of overpromising, hallucination headlines, and tools that failed in production. They need to believe your model is accurate, safe, and not going to embarrass them in front of their board before they will champion you internally. A retargeting banner cannot carry that weight. CTV gives you the format – full screen, sound on, no competing tabs – to make a credibility argument that actually lands before the sales conversation starts.
The category is moving faster than your awareness can keep up
A new foundation model or a competitor's launch can reset buyer perception of your category in a quarter. AI / ML companies that rely only on bottom-funnel capture have no standing reservoir of awareness to draw on when the narrative shifts – they are starting the trust argument from zero every time. Without a brand presence in front of the buying committee, you are perpetually reactive to whatever the loudest competitor said last. CTV builds the persistent presence that keeps you in consideration when the market churns.
Long sales cycles punish channels measured on last-click
Enterprise AI deals take six to eighteen months and touch a dozen people. A CTV impression that seeds awareness in month one rarely gets credit for a deal that closes in month twelve under last-click attribution. So the channel that does the early, unglamorous work of warming the committee gets defunded by a measurement model that cannot see it. Without an attribution approach built for the real cycle, CTV looks like a cost center instead of the pipeline accelerant it is.
How We Help
We start by mapping the actual buying committee for your AI / ML product – who evaluates the model, who controls the budget, who can veto, and which of those people your current channels already reach versus miss entirely. Most AI companies discover their demand engine is over-indexed on the technical evaluator and completely blind to the economic buyer.
Strategy development turns that gap into a targetable plan. We define the account and audience segments worth reaching on CTV – the named accounts in your pipeline, the lookalikes that match your closed-won profile, and the executive titles that sit on the buying committee but never appear in your search data. We build the message around the trust gate that AI specifically faces: accuracy, safety, data handling, and the proof points that move a skeptical economic buyer.
Execution runs the campaign across the CTV inventory and platforms that actually let you reach business decision-makers – not the cheap remnant inventory that burns budget on the wrong household. We handle audience build, platform setup, creative trafficking, frequency management so you stay present without becoming wallpaper, and the account-level targeting that keeps spend on the committees that matter.
Measurement for CTV in a long enterprise cycle has to look past last-click, so we instrument it to show the work it actually does. We track lift in awareness and engagement inside targeted accounts, movement of named accounts into and through the pipeline, and the influence of CTV exposure on deal velocity and win rate rather than a vanity view count. This ties into your broader measurement approach so CTV is evaluated on pipeline contribution across the real cycle.
What we deliver
- Buying-committee map showing which decision-makers your current channels reach and which CTV must cover
- Account and audience segments built from your closed-won profile and named pipeline
- CTV creative strategy built around the AI trust gate – accuracy, safety, and data handling
- Campaign execution across business-decision-maker inventory with frequency and account-level targeting
- Pipeline-based measurement that credits CTV for account warming and deal velocity, not last-click
In AI / ML, the person who tests your model and the person who signs the contract are almost never the same person. Performance channels were built to catch the first one. CTV is how you reach the second one before your deal depends on them.
Our Methodology
Our CTV engagement runs as a focused build that starts from the buying committee rather than from the channel. The first phase maps who decides on your AI product, quantifies the gap between who your demand channels reach and who actually approves deals, and translates that into the account and audience segments CTV needs to cover. We anchor everything to your real deal sizes and cycle length so the plan is measured against pipeline, not impressions.
The build phase sets up the audience targeting, selects the inventory that genuinely reaches business decision-makers, shapes the creative around the trust gate AI faces, and stands up an attribution approach that can see account warming across a six- to eighteen-month cycle. We then run and tune the campaign – managing frequency, reallocating toward the accounts and segments showing movement, and feeding signal back to sales.
What makes this different from a media agency is that we treat CTV as a pipeline instrument for a committee sale, not a reach-and-frequency awareness buy. A standard agency optimizes for CPM and impressions delivered. We optimize for getting named accounts and economic buyers warm to your category and credible on your accuracy before the sales conversation, and we measure against the cycle the deal actually takes.
How We Work
Initial engagements typically run 4 to 6 months because CTV in an enterprise AI cycle needs time to build account presence and to show influence on a pipeline that moves over quarters, not weeks. The first 30 days map the buying committee, build the account and audience segments, and set the creative and measurement strategy. The next phase launches the campaign across vetted business-decision-maker inventory and begins tuning frequency and targeting. From there we run, optimize toward the accounts showing movement, and report on pipeline influence.
Our team includes a paid media lead who owns the CTV buy and audience strategy, a strategist who connects the campaign to your positioning and committee map, and an analyst who builds the account-level and pipeline measurement. From your side we need your closed-won account data, target account list, sales-cycle detail, and access to your CRM so we can tie exposure to pipeline movement. We coordinate with whoever produces your creative so the spots carry the credibility argument the buyer needs.
The cadence is a weekly working session on campaign performance and account movement, plus a monthly review against pipeline influence rather than impression volume. Because CTV does early-cycle work, we set expectations that the clearest signal – warmer accounts, better deal velocity – shows up over the engagement, not in week two. The deliverable is a running CTV program tied to your pipeline, with the option to expand audiences and inventory as more closed-won data sharpens the targeting.
- Economic buyers and named accounts warmed before the sales conversation
- Awareness and engagement lift inside targeted enterprise accounts
- Improved deal velocity and win rate attributed across the real cycle
- A persistent brand presence that holds consideration when the category churns
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Frequently asked questions
How much does a connected TV advertising engagement cost for an AI / ML company?
Most AI / ML CTV programs run in the $30K-$100K range per quarter once media spend is included, with the management fee a fraction of that and media scaling to the number of accounts and the breadth of inventory you want to cover. Because enterprise AI deals are large, even modest CTV spend can pay back on a single influenced contract.
How long before we see results from a CTV advertising engagement?
Awareness and engagement lift inside targeted accounts typically shows within the first 60 to 90 days, but the pipeline payoff tracks your sales cycle, which for enterprise AI is often six to eighteen months. We instrument the campaign to show early account-level signal – lift in branded search, site visits, and engagement from targeted accounts – so progress is visible long before deals close.
How does the CTV team integrate with our existing marketing and sales staff?
We embed with your marketing team on creative and positioning and with sales on the target account list and pipeline data, because CTV only works when it reaches the committees your sellers are working. We pull your closed-won profile and CRM access so targeting is built from real deals, not guesses.
What makes Winston Francois different from a traditional CTV media agency?
A traditional media agency optimizes for CPM, reach, and impressions delivered, which is the wrong scoreboard for a committee sale with a long cycle. We treat CTV as a pipeline instrument – built around your buying-committee map, your closed-won profile, and the specific trust gate AI buyers carry about accuracy and safety.
How do you measure ROI from CTV when our deals take a year to close?
We build attribution for the real cycle instead of last-click, tracking lift in targeted accounts, movement of named accounts through the pipeline, and the influence of CTV exposure on deal velocity and win rate. We tie exposure to your CRM so a deal that closes in month twelve still credits the awareness CTV seeded in month one.
Why use CTV instead of just spending more on paid search and LinkedIn?
Paid search and LinkedIn are strong at capturing buyers already in-market, which for AI / ML skews heavily toward the technical evaluator. They are structurally weak at reaching the economic buyer who never searches your category but controls the budget.
What type of AI / ML company is the right fit for CTV advertising?
Companies selling enterprise AI with large deal sizes, long cycles, and a buying committee that includes a non-technical economic buyer get the most value. If your deals are big enough that a single influenced contract justifies the spend, and your current channels only reach engineers, CTV fills the gap.
