What is ABM (Account-Based Marketing)?
ABM (Account-Based Marketing) is a B2B strategy where sales and marketing focus resources on a defined set of high-value target accounts rather than broad lead generation. Instead of casting wide and filtering down, ABM starts narrow and goes deep.
ABM — Account-Based Marketing — is a B2B go-to-market strategy where sales and marketing identify a specific list of target accounts and coordinate all activity around winning those accounts. No broad lead generation, no wide-net outreach. You pick the companies, then you go get them.
How is ABM different from traditional demand generation?
Traditional demand gen casts wide — run ads, create content, attract inbound leads, then qualify them down to the ones worth pursuing. ABM reverses the order. You qualify first, then you market. The target list defines the campaign, not the other way around.
The practical difference: in demand gen, you might run LinkedIn ads to "VP Sales at B2B SaaS companies" and see who converts. In ABM, you pick 50 specific companies you want to win, identify the VP Sales at each one, and run personalised outreach and content specifically at those people.
What are the three types of ABM?
One-to-one ABM targets individual enterprise accounts with fully custom campaigns — dedicated landing pages, personalised content, custom proposals. High effort, high ACV, typically used for accounts worth $100K+ ARR. One-to-few ABM groups 5–20 similar accounts and runs a shared but tailored campaign for each cluster. One-to-many ABM uses intent data and personalisation at scale — targeting hundreds of accounts with account-specific messaging delivered programmatically.
When does ABM work well?
ABM works when your ICP is narrow and definable, your ACV is high enough to justify the per-account effort, and you have enough alignment between sales and marketing to coordinate. It works badly when the ICP is vague, the ACV is low (the economics don't support it), or sales and marketing are running separate playbooks.
How do AI agents change ABM execution?
The most labour-intensive part of ABM is account research and personalisation at scale — finding the right contacts, understanding each account's specific situation, and writing outreach that references something real about that company. AI agents handle that research layer automatically: pulling signals from news, job postings, tech stack, and recent funding to build account briefs before the first touch. The personalisation that used to take an SDR 20 minutes per account now happens in the prospecting cycle before outreach even begins.