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This is where we share our latest research, insights and benchmarks around all things ABM, AI and GTM.
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The varying definitions of “1:1 ABM” that you’ll hear out in market will make your head spin.
So we had to speak with someone who has built, scaled and optimized 1:1 ABM at the highest level.
Sandy Walters has ABM experience at Meta, Pegasystems, Citrix and currently Okta and joined our latest Revenue Exchange episode to share her insights.

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ABM = Your Account Investment Strategy
At ForgeX, we've been pushing this for years = ABM is an account investment strategy.
You build and maintain a Target Account Portfolio of named accounts, and each account gets a different level of human capacity, existing resources and budget based on its strategic importance, revenue potential and your TAM.
1:1 ABM sits at the very top of that investment in our Modernized ABM Deployment Models.

Source: ForgeX Modernized ABM Deployment Models; Sandy Walters, ABM at Okta (RX22)
Think of your 1:1 accounts as blue chip investments. You have extremely high confidence in their revenue potential, you make a concentrated investment, and you take on a LOT of risk.
Per our 2026 AI in ABM Benchmark Report, 62% of ABM teams say they run 1:1 ABM.....
And as AI keeps lifting executional constraints, deciding where your investment goes only gets MORE important.

Relative investment per account across the ForgeX ABM Deployment Models
1. You Cannot Deploy 1:1 ABM to 1000s Of Accounts
When leadership asks “how many accounts one practitioner can cover”, Sandy flips the question back on them:
"Let's not start with the number of accounts, but let's start with what is the experience that we're looking to deliver?"
If she HAS to put a number on it:
"I would say 5 accounts is the max if I were to put a number on it."
Here's why the math is mathing on her accounts:
1.) Multiple Opportunities per Account = usually at least 2, and she has seen up to 4, often across multiple business units in one account.
2.) Deal Sizes per Opportunity = "almost always north of a million dollars."
3.) ABM Program Timeline = "At least a nine-month strategy... at the very least."

Source: Sandy Walters, ABM at Okta, on Revenue Xchange RX22
This lines up almost exactly with what we've seen in our ForgeX Benchmark Audits. For example, one Enterprise ABM practitioner at a +$19B ARR organization was covering 6 accounts at a time, with a $9M ACV.
2. Sales and Marketing Need to Perform Like an Orchestra
Sandy's definition of 1:1 ABM starts with sales:
"It really is a tight partnership with sales, because as sales is having their sales motion, marketing is having their marketing motion, we need to be singing the same tune, and we need to be on the same track."
This is exactly why we say leading Account-Based GTM teams perform like an orchestra in our Cross-functional Collaboration Framework.
All revenue teams each play a different part, and the program falls apart when one section is off.

The ForgeX GTM Orchestra, from our Cross-functional Collaboration Framework
When you're only covering a handful of accounts, that dynamic completely shifts. Marketing, sales and CS act as one micro “GTM unit” or “pod” around each account.
Here's how Sandy runs it:
1.) Sales Coverage Mirrors Marketing Coverage = AEs on her programs own one or two accounts ("I've seen no more than two"), with product marketing and customer success deeply involved too.
2.) A Weekly Sync per Account = "Once a week with each account just to understand what is happening in the account, what conversations are sales having."
3.) Sales Is the Source of Truth = "Sales will always know more than me. They're talking to their contacts on a daily basis."
When I asked her for the ONE thing that crushes in 1:1 ABM:
"The success of any ABM program is really the stickiness and the partnership with sales... it's not a marketing motion, it's not a sales motion, it's a marketing + sales motion."
Listen or watch: Apple Podcasts | Spotify | YouTube
[In-Person] FutureX San Francisco: The AI in Marketing Innovation Tour
FutureX kicks off at the Autodesk Gallery in San Francisco on Thursday, November 12 (2:00 to 7:00 PM PT) with 25 to 40 marketing leaders.
Here is our agenda:
The State of AI in B2B Marketing: unpublished ForgeX benchmark data and a roadmap for advancing AI across your team.
Modernizing Marketing Measurement and Attribution: connecting account engagement, buying groups, pipeline and revenue in one framework.
Building an AI Center of Excellence: real examples from George Sayah at Autodesk.
Request your invite below, and feel free to share this with any colleagues or friends in SF!
New: The ForgeX AI Roadmap
The single biggest gap between top performers and everyone else in our 2026 AI in ABM Benchmark Report = a defined AI roadmap.
59% of top performers have one, vs. 23% of all other teams.
The ForgeX AI Roadmap walks GTM and marketing leaders through six elements for planning AI capabilities that create real value across the team.
New: The ForgeX MCP Connector (Beta)
Our research now lives inside the AI you already use….
The ForgeX MCP Connector brings ForgeX benchmarks, frameworks and reports into Claude, ChatGPT, Microsoft 365 Copilot and more.
Ask: "How are top-performing teams using AI in ABM? Show me a slide."
Research-backed: every number comes back with the ForgeX report it came from and a link.
Connect in a minute: sign in once with Google or your work email, and it stays connected.
It's in beta, so tell us what breaks (and what you want it to do next) at [email protected].
New: “Ask Ariel” in the ForgeX Community
Have a pressing GTM question at 11pm? Drop it in #ask-ariel.
Ariel answers with ForgeX research.
Already a member? Head to #ask-ariel and ask away. Not in yet? Apply below.
New on Revenue Xchange
Catch up on our two latest episodes:
Our Research Lives in One Place
Every ForgeX report, framework and on-demand session is now in the ForgeX Research Hub:
Need Advice? Ask a ForgeX Analyst
Teams bring us challenges like:
Deciding which accounts earn 1:1 treatment
Building 1:1 engagement plans with sales
Choosing and combining ABM deployment models
Transitioning from MQLs to buying groups
Building an AI roadmap and prioritizing use cases
Send us a question about the research (or what it means for your team) and a ForgeX analyst will get back to you.
Join 1,000+ ABM and GTM leaders and become a ForgeX member to access our full research library, step-by-step frameworks, benchmark data and community.

Have an awesome rest of the week, y'all!
Davis









