Account-Based Marketing (ABM)

What is Account-Based Marketing (ABM)?

ABM inverts the traditional demand-gen funnel. Instead of casting a wide net and filtering down, revenue teams agree on a finite set of accounts that match the Ideal Customer Profile, then run coordinated, multi-channel campaigns against each one. In 2026, ABM has become 'agentic': AI agents enrich each account continuously, watch for buying signals (job changes, hiring, funding, intent spikes), draft personalized outreach, and route warm hand-raisers to the right AE. The strategy stays the same — fewer accounts, deeper plays — but the execution layer has compressed from weeks to hours. Modern ABM is less about marketing tactics and more about an operating model where sales, marketing, and data ops share one account list and one definition of progress.

Why it matters

• Higher average contract value because you target accounts that fit ICP, not whoever fills a form.
• Better sales-marketing alignment — both teams measure the same account list.
• Lower CAC at the top of the ICP because spend is concentrated rather than diluted.

Use cases

• 1:1 ABM. Bespoke microsites and custom outreach for ~10 enterprise target accounts.
• 1:few ABM. Programmatic plays against ~100 lookalike accounts in a single vertical.
• 1:many ABM. Intent-data-driven pursuit of ~1,000 accounts that fit the ICP.