Account-based marketing
Also called: ABM
Account-based marketing is a go-to-market approach that targets a small set of high-fit accounts with coordinated, account-specific outreach and research, instead of running one broad campaign at a list of individual leads.
The classic version of ABM assumes a team that doesn't exist on most rosters: a marketer with a demand-gen budget, a seat in a dedicated ABM platform, and a colleague whose job is coordinating the two. A team without that setup can still run ABM, just by building the coordination itself instead of buying a platform to run it.
What changes when it's engineered instead of bought
Four things shift. Account selection runs on real-time signal, not just static firmographic fit; a company matching the ideal customer profile on paper says nothing about whether it will buy this quarter. Data comes through an enrichment waterfall that cascades multiple providers instead of trusting one vendor's coverage. Per-account research runs at a depth that used to be reserved for a handful of top accounts, but across the whole list instead of rationed to the top five. And outreach runs as plays that fire when a signal and a research finding line up, instead of touches scheduled on a fixed campaign calendar.
Measurement changes too. Metrics built for a bought platform, like a vendor's account engagement score, measure activity against someone else's model. A team running its own system measures what that system actually produces: how many signal-flagged accounts a play fired on, how many of those turned into a real conversation, and what the program costs to run per engaged account.
In practice
Most teams that build ABM this way start small: a short list of accounts run through the whole loop by hand once, signal, enrichment, research, one engineered play, honest measurement, before deciding which step is weakest and worth building out first.
What people get wrong
The most common failure is treating the enrichment waterfall as one tool, which puts a team back to single-source coverage with extra steps. Close behind it is trusting an intent feed as if a topic view were a reason to reach out, and measuring an engineered program with a marketer's borrowed metrics instead of the numbers the system itself produces.
