Most ABM disappointment starts with a comparison between products that solve different thirds of the problem.
Account-based marketing has a category problem. The term covers software that does three genuinely different jobs, vendors position across all three regardless of where their product is strongest, and buyers end up comparing tools that are not substitutes for one another.
Almost every disappointed ABM programme we hear described traces back to that confusion. The tool worked. It was not the tool the team needed.
The three jobs
Selection answers who should we target. This is scoring and prioritisation work: fit modelling against your customer profile, intent and engagement signals, tiering accounts into groups that justify different levels of effort. The output is a list with reasoning attached.
Activation answers how do we reach them. Advertising against a named account list, coordinated outbound, personalised web experiences, orchestration across channels. The output is contact with the account.
Measurement answers whether any of it worked. Account-level engagement, influence on pipeline, and the perpetually contested question of what to attribute to what. The output is an argument you can take to a board.
A team frustrated by poor targeting has a selection problem. A team with a good list and no way to reach the buying committee has an activation problem. A team doing both competently but unable to defend the budget has a measurement problem. These require different purchases.
Why the marketing blurs it
Platforms tend to originate in one of the three and expand outward, because the expansion story supports a larger contract. A product built for advertising activation acquires a scoring feature. A product built on intent data adds orchestration. Neither is necessarily bad at the extension, but the extension is rarely as strong as the origin, and the origin is what the engineering investment went into.
The practical read on any ABM vendor is to work out where the product started. That usually tells you where its real strength sits, regardless of how the capability matrix is drawn.
The question underneath all three
ABM platforms operate on account-level data, and their output is only as good as the account and contact data feeding them. Account-level signals identify an organisation. They do not identify the individuals in the buying committee, which is why teams frequently find that a well-targeted account list still leaves them without anyone to contact.
Before evaluating any platform, establish what your contact coverage actually looks like inside your target accounts, particularly in regions where your data has historically been thin. A selection tool that surfaces twenty high-fit accounts you cannot reach has not moved you forward.
How to run the evaluation
Decide which of the three jobs is your binding constraint, and be honest about it. Evaluate primarily on that job, and treat the other two as secondary until the constraint is fixed.
Then test on your own target account list rather than a demonstration set. Ask how the platform resolves a company to an account record, what happens with subsidiaries and multi-entity organisations, and what contact-level coverage looks like in the specific regions you sell into. Those three answers separate platforms far more reliably than a feature comparison.
One-line diagnostic: if you cannot say whether your problem is selection, activation or measurement, you are not ready to shortlist.
How we work. This article was researched and written by the Marketing Hub Media editorial team. We do not republish press releases. Where we cite data we name the source and the method. Corrections are made openly on the article - if you believe something here is wrong, write to info@marketinghubmedia.com.
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