
AI's most valuable buyers are developers and technical executives who ignore display and live in conferences, communities, and a few key cities. We build out-of-home and experiential programs that put your category claim in front of them where digital cannot reach.
Your highest-value buyers are unreachable through performance channels
The VP of Engineering and the platform lead who greenlight major AI spend run ad blockers, skip webinars, and treat sponsored content with suspicion. Pouring more budget into paid social and display does not reach them – it reaches their junior reports and a lot of bots. The accounts that move the number are precisely the ones digital performance cannot touch. A go-to-market that relies only on click-based channels has a structural hole exactly where the money is.
Category credibility can't be bought one impression at a time
AI buyers are evaluating whether your company will still exist in two years and whether your model is the safe institutional choice. That kind of credibility is built through visible, sustained category presence, not a banner ad served once. A startup that shows up nowhere physical reads as smaller and riskier than one that owns the conference floor and the city its buyers fly through. Performance marketing optimizes clicks; it does not build the perception of being a category-defining company that enterprise buyers need before they commit.
Conferences are where AI deals start, and most companies show up badly
The handful of conferences and developer events that matter in AI are where evaluations begin, champions form, and competitors get compared side by side. Most AI companies treat them as a booth-and-swag afterthought rather than a designed experience tied to pipeline. They spend real money on presence with no measurement, no follow-up architecture, and no reason for the right buyer to remember them. The single highest-concentration moment of buyer attention all year gets wasted on a forgettable table.
Developer trust is earned through experience, not advertised
Developers, who increasingly drive AI adoption from the bottom up, are allergic to marketing and convinced by hands-on experience. A workshop where they actually build something with your model does more than a year of impressions, but most AI companies have no experiential program to create those moments at scale. Without designed hands-on experiences, the bottom-up developer motion stays accidental and slow. The audience most likely to champion you internally never gets a real reason to.
We start by finding where your buyers physically and socially concentrate, because that is where out-of-home and experiential pay off and nowhere else. In the first 30 days we map the conferences, developer events, communities, and cities where your technical buyers and economic buyers actually gather, and we size which moments and places carry enough concentration to justify physical presence. For AI companies this is rarely a broad billboard buy – it is a sharp claim on the handful of contexts where the right buyers are paying attention.
Strategy development designs the program around a category claim, not a logo placement. We define the single idea your physical presence should plant – what you want a technical executive to believe about your company after they encounter you – and translate it into out-of-home placements in key buyer cities, conference presence designed as an experience, and developer workshops that let people build with your product. We tie each surface to a follow-up architecture so attention converts into pipeline. This connects to your creative and brand work so the physical program speaks the same language as everything else.
Execution runs the program end to end. We handle out-of-home placement in the cities and contexts that matter, design conference experiences that give the right buyer a reason to remember you, and build hands-on developer workshops that turn curiosity into adoption. We wire every physical touch to capture and routing so a conversation at a booth or a workshop becomes a tracked account in the pipeline. We work with your marketing team so the experiential program reinforces the broader demand engine rather than running as a disconnected stunt.
Measurement holds experiential to a pipeline standard, which most agencies avoid. We track which events and placements sourced and influenced real opportunities, how target accounts moved after physical touches, and which experiences produced developer adoption that fed sales. Out-of-home and experiential for AI is not a brand-awareness line item you cannot defend – we instrument it so you know which physical presence created pipeline and which was just an expensive logo on a wall.
The buyers who decide major AI spend are the ones performance marketing cannot reach. Out-of-home and experiential are not a brand luxury for AI companies – they are the only channel that gets to the VP of Engineering who never clicks an ad.
Our out-of-home and experiential build for AI and machine learning runs as a 90-day program tied to your event calendar. Phase one is the concentration map: where your technical and economic buyers actually gather, which conferences and cities carry enough density to justify spend, and what category claim the program should plant. We start from buyer location, not media availability.
Phase two designs the program. We translate one category claim into out-of-home placements, conference experiences, and developer workshops, and we design the follow-up architecture that turns each physical touch into a routed opportunity. We align leadership on the claim and the target events before booking anything.
Phase three executes and measures. We run placements and experiences, capture and route every interaction into pipeline, and report on sourced and influenced opportunities per event and placement. Unlike experiential agencies that sell presence and impressions, we hold physical marketing to the same pipeline standard as performance and build the attribution to prove it.
Initial engagements run 3 to 6 months because experiential programs are paced by the event calendar – you build around the conferences and moments where buyers actually concentrate. The first 30 days are the concentration map and category-claim definition. Days 31 to 60 design the placements, conference experiences, and workshops with a follow-up architecture. Days 61 onward execute against the calendar and measure each activation against pipeline.
Our team includes an experiential strategist who owns the program and category claim, a producer who handles out-of-home placement and event execution, and a demand operator who builds the capture and attribution so physical touches convert. From your side we need marketing leadership to align on the claim, product or developer relations support for workshops, and sales to work the pipeline the program generates. We design, produce, and measure; you provide the technical voice and the sales follow-through.
Weekly working sessions track production and event readiness. A post-event readout after each major activation ties presence to sourced and influenced pipeline. Most AI companies see their first measurable experiential pipeline within one or two event cycles, with the program compounding as repeated category presence builds the credibility that closes enterprise deals.
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Most AI experiential programs run between $30K and $80K per month in agency fees plus media and production spend that varies widely with the events and placements chosen. That is a different shape of investment than performance marketing, weighted toward production and presence rather than per-click bids. Cost scales with how many flagship events and cities you commit to and the ambition of the on-site experiences.
We wire every physical touch to capture and routing, so conference conversations and workshop participants become tracked accounts, and we report sourced and influenced pipeline per event and placement. The headline measure is whether target accounts moved after physical touches, not impression counts. Most AI companies see measurable experiential pipeline within one or two event cycles.
Pipeline tends to appear within one or two event cycles, because the value is concentrated in specific conferences and activations rather than spread across continuous impressions. Category credibility, the slower payoff, compounds over several quarters of repeated presence. The follow-up architecture is what determines how fast a great event becomes real pipeline.
We run a weekly working session with marketing leadership and pull in product or developer relations to give workshops technical credibility. We need sales aligned to work the pipeline each activation generates. Developer relations is an important partner for AI because the hands-on experiences only land if the technical content is real, not a marketing veneer.
Most experiential agencies sell presence and report impressions, treating physical marketing as a brand expense you cannot defend. We start from where your buyers actually concentrate, tie every activation to a follow-up architecture, and measure against sourced pipeline. We treat out-of-home and experiential as a demand channel for hard-to-reach AI buyers, held to a pipeline standard.
It can work early if your buyers concentrate at a small number of events, because a sharp presence at the one conference that matters beats a broad spend later. The deciding factor is buyer concentration, not company size – if the people who decide your deals all attend three events a year, that is where to be. The first step is a concentration map to confirm the density is there before committing budget.
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