Is account-based marketing dead?

Is account-based marketing dead? No. The version a lot of teams bought is. They paid for a platform, pointed ads at a list of logos, and called it ABM. Two years later, they couldn't trace a dollar of pipeline back to it, because ads at a logo was never a strategy to begin with.

If you need the clean definition first, start with our primer on what account-based marketing is. This piece is about the question that comes after the definition: does ABM still work, and what has to change for it to earn another shot?

Why people think ABM is dead

Plenty of teams tried ABM, spent real money, and walked away burned. The pattern shows up over and over. A legacy platform tells you an account is "surging," but never tells you who. The account gets flagged as hot because it has seen a lot of ads. Then a rep actually calls, and the buyer has never heard of you. That gap between what the marketing dashboard claims and what the salesperson experiences is where ABM programs die.

A few things went wrong at once. The platforms needed constant manual work, so no one really got into them. Display ads became a vanity metric that looked busy but moved nothing. And attribution stayed fuzzy, because account-level reporting can tell you a logo engaged but can't tell you which buyer, which ad, or which deal. When a CFO asks what the spend produced, "we made noise in the right accounts" is not an answer that survives a budget cut.

None of this means the strategy was wrong. Teams got burned by account-level tooling that couldn't name a single buyer or connect a single dollar to pipeline.

A logo still can't take a meeting

A complex B2B purchase runs through a group, not a person. B2B buying doesn't follow a neat funnel. A shifting set of people loop through the same buying tasks, each doing their own research on the side. Buying groups for enterprise software commonly run at roughly six to 10 people. "Acme is in-market" tells you almost nothing useful, because Acme might employ thousands of people and your deal depends on maybe seven of them.

This is also where account-level intent gets dangerous. Interest and intent are different signals. Someone browsing your pricing page three times is a different signal than someone who bounced once from a blog post, and a company name alone can't tell them apart. If your program can only report that an account looks warm, you have no way of knowing whether your campaigns reached anyone who can actually sign, or just burned budget on a job title that will never open the email.

Targeting the logo and hoping the right humans are inside it is the expensive part of old ABM. The committee is a handful of named people, so reach them by name.

What still works: contact-level ABM

The strategy is the same. The targeting moved from companies to the people inside them. Instead of pushing ads at a company and reporting engagement at the logo level, you identify the real people on the buying committee and reach them directly, timed to what they're actually doing. That's the shift from account-level to contact-level targeting. You build ad audiences around named contacts and your ICP, so no dollar goes in front of the wrong persona or the wrong company.

Timing is the other half. The point of ABM is to show up while a buyer is paying attention, not on a set schedule. That's why the useful move is to act on contact-level buying behavior rather than a black-box score. When you can see who engaged, you can run the right play for that account, whether that's ads, an event, a piece of direct mail, or a warm handoff to a rep.

Vector's role here is narrow and specific. It identifies the people engaging with your ads and site, builds dynamic contact-level audiences from that data, and pushes them to LinkedIn, Google, and Meta, then shows you which named contacts actually engaged.

Which signals deserve a play

Not every signal deserves a play. The ones worth acting on point to a person and a moment. A repeat visit to your pricing or demo page, a click on your ad from a known contact, off-site research on your category or a competitor, or a job change that puts a past champion in a new seat. An email open or a single blog visit isn't that. The discipline is treating first-party behavior from a named contact as the trigger, and filtering out the noise that only looks like intent.

Contact-level identity and real, timed signals turn ABM from a billboard aimed at a company name into conversations with named buyers while they're still in the market.

One boundary to be upfront about. Vector is US-focused, because the identity data behind contact-level match rates depends on US coverage. It also isn't an account-progression dashboard or a fix for the human side of alignment. It gives both teams the same in-market person at the same time. Building the shared list and the handoff process is still your job.

How to run ABM without repeating the old mistakes

If you're starting or rebuilding an ABM program, the strategy hasn't changed, but the execution should. A short version of what actually works:

• One shared list. Sales and marketing agree on the same named accounts and the same ICP. Chase different definitions of ABM and you end up double-billing the same prospect.
• Identify people, not just logos. Map the committee and reach them by name. A logo can't book a meeting.
• Activate through the right play. Contact-level ads are often the workhorse, but the signal decides whether it's an ad, an event, mail, or a rep. Match the play to the account.
• Prove it at the contact level. "We engaged 12 named buyers at 8 accounts, 3 entered pipeline, 1 closed" is a sentence a CFO respects. "The account was warm" is not.

ABM works when you name the accounts, reach the actual buyers, and prove which of them converted. The tooling that disappointed teams made all three of those steps harder than they needed to be. From here, look at the ROI of pairing ABM with real intent data or see how contact-level audiences make the plays run.