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Winning, on-brand ads—without endless prompting

Most AI creative tools fall short for one simple reason. You can generate tons of ads, but they aren’t up to par.

Refining copy, adjusting layouts, or nudging a CTA into place shouldn’t require rewriting prompts over and over. It slows teams down and breaks the creative process.

With Hightouch Ad Studio, AI gets you 90% of the way there. For the final 10%, use a built-in editor to quickly refine copy and design, or export directly to Figma for seamless collaboration with your design team.

Move faster without losing control. Every ad, exactly how you want it.

Every B2B SaaS company has been launching something AI.

Copilot. Assistant. Agent. Insights. Summary.

The names vary. The launch motion looks identical: a blog post, organic social, a webinar, an email to the full list, a LinkedIn post from the CEO.

Six weeks later, the pipeline forecast hasn't moved.

This isn't a product problem. It's a GTM problem.

The accounts most likely to buy your new AI capability aren't randomly distributed across your TAM. They cluster in three predictable places. A broadcast launch dilutes spend across the accounts that won't buy and under-invests in the ones that will.

Here are the three segments that consistently move pipeline for an AI product launch:

1. Your most sophisticated existing customers.

The ones already running your suite at a high level. Product-aware, advocate-leaning, fastest to adopt. Selection criteria: high current ARR + strong product usage + measurable sophistication score. They're your shortest path to early revenue and the first case study you'll need to convert everyone else.

2. Churned customers…the right ones.

Customers who churned in the last few years for reasons that weren't product-related. Champion turnover. Budget cycle. Internal re-org. A new AI capability is a legitimate re-engagement trigger. Pull churn date, churn reason, and previous ARR from your CRM to create an initial filter.

3. Closed lost opportunities…the right ones.

Prospects who got deep in the cycle in the last two to three years and lost for non-product reasons. They already did the diligence. They already know your team. The new product gives sales a real reason to re-open the conversation.

Three segments. Each with specific selection criteria. Each with a different message because the new AI capability resonates differently with each one.

I just wrote this up as a 13-page guide, it's ungated, free, and no opt-in.

How to Support AI Product Launches with ABM.

How to Support AI Product Launches with ABM.pdf

How to Support AI Product Launches with ABM.pdf

14.73 MBPDF File

Inside:

  • How to size each segment from your CRM (RevOps walks away with a defined report spec)

  • The cross-functional ownership table across RevOps, Product Marketing, Marketing, and the AE/AM/SDR teams

  • A six-metric measurement framework with target goals: 80% account reach, 40% engaged, 10–15% meetings booked

  • The 20–25-accounts-per-rep ceiling that keeps the play executable instead of theoretical

  • The three CRM data gaps most companies hit on this motion, and how RevOps closes them before launch

It's built from the launches I've run inside multi-product B2B SaaS, including the cross-sell motion we’re operating at Sphera right now.

If you're sitting on an AI launch this year, hit reply.

I'd love to hear what you're shipping. Happy to be a thought partner on the segment cut, the messaging, or the measurement plan.

The goal here is simple: more AI launches built around the accounts that actually buy.

Stuck building or refreshing your ABM strategy?

I'm taking on 3 new ABM consulting clients this quarter.

In 60 days together, you'll have:

  • A target account list tied directly to revenue goals

  • A sales-aligned motion your reps will actually run

  • A measurement framework your CMO will trust

Not a fit for teams without a defined ICP or under 50 employees.

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