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AI has made it possible to run always-on ABM across your entire TAM.
But see, that's exactly the problem.
Content creation and personalization that took a marketing team months to build can now be built within minutes. Multi-channel tactics that needed three or four teams plus an agency to build is done by one or two people using Clay, Claude and Lovable.
Think about where we were two years and where we’re at today. It’s remarkable.
So now marketing teams are pointing the new firepower at everything. Every account in the CRM. Every lookalike. Every name that surfaces from intent.
To run ABM at scale as an “always-on” strategy.
But doing it that way isn’t ABM.
ABM was never about how many accounts you could touch. It was about whether the accounts you touched were the right ones, for the right reason, tied to a business outcome you'd actually defend to your CFO.
AI hasn't changed that. It's made it easier to forget.
The discipline that mattered in 2018 still matters in 2026:
What is the business objective ABM is supporting?
Which segment of our TAM ladders to that objective?
What does engagement with this segment tell us, and what do we do next when it surfaces? How do we work with sales?
If your answer to any of those is fuzzy, more automation makes it worse. It scales fuzzy at a faster rate.
Here's the approach I’m working on with our always-on strategy at Sphera.
I split the universe into two halves: new logo and customer base. Inside each, there's a short list of segments worth pointing AI and automation at because each one has a clear business reason and a clear next play.
New logo always-on segments:
Closed-lost re-qualification. Lost 6+ months ago, original blocker may have shifted (budget, team change, competitor swap). SDRs love these accounts.
Churned customer win-back. Different motion than closed-lost. The relationship existed, the data exists. Higher conversions, ACV and win rates.
Vertical expansion. A priority vertical with customer proof, but under-indexed pipeline. Great for scaling market awareness and driving engagement.
Deal acceleration. Open opps stalled in a deal stage over a certain number days. Target multiple stakeholders across channels to keep engagement high.
Customer-base always-on segments:
Retention risk. Usage decay, support ticket spikes, exec turnover at the account. Data hygiene is critical, but you can engage these accounts with the right content through the right channels before it’s too late.
Cross-sell. Existing customer with a product gap mapping to another product in your suite. (This is the motion I'm running at Sphera this year.)
Up-sell. Existing customer at usage ceiling. Emphasize what the account can do with more teammates involved or data available.
Eight segments. Each one has a business reason. Each one has a defined next play.
This will be done using 6sense’s workflow feature to automate these plays to the right accounts across multiple channels, while using it’s AI predictive model to help deliver the right content and messaging based on where they’re at in the buying journey.
The important part here is that if your always-on ABM strategy can't slot every account into a segment like these, you're not running always-on ABM.
The test for this week:
Pull up your always-on motion. For every account currently being touched, ask:
Which segment is this account in, and what's the business outcome we're going to drive if they engage?
If you can't answer for more than half the list, pause the motion. Re-segment. Then turn it back on.
That's the move. AI didn't change what ABM is. It just made the cost of skipping the strategy step go up.
If you've drawn your always-on segment map differently than this, hit reply. I'll feature the strongest cuts in next week's edition.
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
Past clients have used this work to build $500K+ pipeline from churned accounts and double cross-sell conversion.
Not a fit for teams without a defined ICP or under 50 employees.
