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Most AI product launches end up targeting the full TAM.

It's the wrong first move.

Not because the TAM doesn't matter eventually, it does. But AI products have a different launch motion than every other product you've shipped. The segment that should hear about it first isn't the whole world.

It's your most sophisticated existing customers.

Three reasons it's the right first segment for an AI launch specifically:

1. They already understand the workflow your AI extends.

AI products rarely stand alone. They sit on top of existing data, existing processes, existing tools. Customers already in your suite see the gap your AI fills the moment they read the announcement, because they've been living the workflow that surfaces the gap. Net new prospects need a whole context-build before the value lands, while your best customers don't.

2. They have the trust to try novel tech.

AI is still scary to a lot of B2B buyers. Hallucinations. Data security. Model drift. "Is this going to work? What happens if it doesn’t?" The objections are real and they're emotional.

Buyers don't try novel tech from vendors they barely trust. They try it from the vendor whose product runs in their workflow every day, whose CSM they've worked with for years, whose security team they've already cleared. Trust is the unlock for AI adoption and your best customers are the only segment where it's pre-built.

3. They produce the case study you need to convert everyone else.

Every other AI launch motion you'll run this year (closed lost, churned, new-logo) needs proof. Customer logos. Quotes. Outcome numbers. The fastest way to get them is to land the new product with the customers most likely to deploy it well, document the outcome, and turn it into the asset your sales team carries into every other conversation.

Your best customers aren't just a segment. They're a manufacturing line for the proof the rest of the launch depends on.

How to identify them: three CRM fields your RevOps team can pull on a Tuesday.

  • Current ARR amount. At or above your average contract value. They've already cleared the internal procurement bar with you. A second product (or a new AI module) is a budget conversation, not a vendor evaluation.

  • Product usage metrics. High daily or weekly active users, broad feature adoption. They're in the product enough to see where the AI fits.

  • Product sophistication level. Advanced workflows vs. basic. Multi-team adoption vs. single-team. The customers running you at depth are the ones most ready for a capability that extends that depth.

Three filters. One report. A cohort of 30–80 accounts depending on the size of your customer base.

That's who you build your AI launch towards.

The play looks nothing like a press release.

  • In-app messaging served only to the tagged cohort, surfacing the new capability in the context of the workflow they're already running.

  • CSM-led conversations scripted around each account's specific usage pattern. "I've noticed your team is doing X, this new capability extends that workflow" lands harder than "we have a new product."

  • Small, high-touch events like a dinner, workshop, or roundtable with 5–10 cohort accounts and your product team in the room. Customer-to-customer signal does more selling than any deck.

  • Exec sponsor matches with your VP of Product to their VP of Operations. AI launches open executive-level conversations faster than feature launches because the buyer's exec team is already asking the AI question internally. Walk in with an answer instead of a pitch.

This is the first of three segments inside the AI product launch guide I sent last Sunday.

The full guide also covers churned customers, closed lost opportunities, the cross-functional ownership table across RevOps, PMM, Marketing, and sales teams, plus a six-metric measurement framework with target goals.

Still free and still no opt-in.

How to Support AI Product Launches with ABM.pdf

How to Support AI Product Launches with ABM.pdf

14.73 MBPDF File

Beyond the Newsletter with ABM

Beyond the newsletter, I occasionally work with B2B SaaS teams, typically Series A through C, who are building or rebuilding their ABM motion without a full-time person in seat. If you're in that situation, or heading toward it, reply to this email.

Happy to talk through what you're working on.

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