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This is where we’ll share our latest research, insights and benchmarks around all things ABM, AI and GTM.
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There are two questions every ABM and GTM leader is asking themselves right now.
Where should I be applying AI in order to:
Implement the quickest wins in my programs
Actually make an impact on revenue outcomes versus creating something that will get shelved two weeks later
In our latest 2026 AI and ABM Benchmark Report, we broke down how 189 B2B marketers are applying AI across channels and where it is driving cost efficiency versus actual bottom-line impact.
In this week’s ForgeX File, we are going to walk through some of the results.

Propensity → is an AI-powered lifecycle marketing platform for personalized B2B orchestration.
Folloze → AI can draft your ABM campaign in an hour. Folloze deploys it live, per account.
Top Performers Use AI Across 3.7 channels, Others Use 2.4
On average, High Performers apply AI across 3.7 channels and all Others across 2.4.
The top 3 channels that marketing teams are adopting AI inside the most include:
Email Marketing
Digital Ads
Personalized Landing Pages
We then wanted to segment out how High Performers Others, the two groups have adopted AI almost i in the high-volume tactics and then split apart in the ones that require more sophisticated orchestration.
Here is how AI adoption breaks down across these groups.
How We Define Top Performers:
Respondents who agree or strongly agree that AI has significantly improved their ABM program performance (n=110, 58% of sample). All others are classified as below average (n=79, 42%).
Top performers report different behaviors, priorities, different, and outlooks than the rest of the sample across nearly every question asked.
Channels with the Smallest Separation Between Top Performers and Everyone Else:
Email marketing = 7pt gap
High Performers (68%)
Others (61%)
Digital ads = 7pt gap
High Performers (63%)
Others (56%)
In email and digital ads, where AI is a feature you can switch on inside a platform you already own, the two groups are essentially even.
This is not surprising given that research and copywriting are both the top 2 highest reported AI use cases.
Channels with the Largest Separation Between Top Performers and Everyone Else:
Personalized landing pages = 25pt gap
High Performers (63%)
Others (38%)
Executive engagement = 18pt gap
High Performers (36%)
Others (18%)
In-person events = 18pt gap
High Performers (32%)
Others (14%)
Direct mail = 16pt gap
High Performers (24%)
Others (8%)
The gap significantly widens in personalized landing pages, executive engagement, in-person events, and direct mail.
Where AI Cuts Cost vs. Where it Drives Revenue
The second thing leaders keep asking is whether AI is actually improving results in these channels or just cutting the cost of running them. The benchmark study measured both separately, rating AI's effect on business impact (engagement, conversion, pipeline) against its effect on cost efficiency (spend, hours, production time).
When we look at the data, the two diverge in a way that tracks almost perfectly with how high-touch the channel is.
In the high-volume channels, cost efficiency runs well ahead of business impact:
Email marketing: 36% report efficiency gains vs. 12% report impact gains
Content syndication: 27% report efficiency gains vs. 11% report impact gains
Virtual events: 28% report efficiency gains vs. 17% report impact gains
Digital advertising: 25% report efficiency gains vs. 14% report impact gains
Direct mail: 31% report efficiency gains vs. 21% report impact gains
Personalized landing pages: 22% report efficiency gains vs. 16% report impact gains
Across this group AI is buying back time and budget rather than producing pipeline.
In the relationship-driven channels, this reverses:
In-person events: 24% report impact gains vs. 17% report efficiency gains
Executive engagement: 29% report impact gains vs. 10% report efficiency gains
Here AI is raising the quality of the engagement itself.
In these channels, AI is not primarily reducing costs or saving time. Rather, it’s helping teams execute more relevant, personalized interactions that improve business outcomes.
Research Webinar: 2026 AI in ABM Benchmark Report
Join us as we reveal the key findings from the report and share what the highest-performing teams are doing differently to drive better results with AI.
In this session, you’ll learn:
What separates AI leaders from the rest of the market
Which AI use cases are delivering the greatest business impact
Where leading organizations are focusing their AI investments
Survey: How B2B marketers prioritize and target
We’re researching how GTM teams predict and prioritize where focus drives outcomes.
The findings will inform an upcoming ForgeX report on best practices, operational foundations, and where AI fits in.
Time: 5-7 minutes
Thank you: early access to the research report
Privacy: data is exclusive to ForgeX, never shared
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Have an awesome rest of the week all!
Davis




