Most B2B teams have tried ABM. A target account list, some personalization, a few dedicated campaigns. The results are often better than traditional demand generation. However, pipeline transformation that ABM promises is rare.
The gap between ABM in theory and ABM in practice is real. And it is not usually a technology problem or a budget problem. It is an execution problem rooted in how the program was built in the first place.
The account based marketing companies that consistently outperform — the ones whose ABM programs actually close enterprise deals at scale — are doing a few specific things differently. Not radically differently. But the distinctions matter, and most of them happen before a single campaign goes live.
They Build Account Intelligence Before They Build Campaigns
Most ABM programs start with a list and move straight to execution. Target accounts get identified, personas get mapped, campaigns get built. The assumption is that personalization at the campaign level is what makes ABM work.
The better approach starts earlier. Before any campaign gets built, the best ABM teams spend real time building intelligence on the accounts they are targeting — not just firmographic data, but actual buying context. What is the account focused on right now? Who are the real decision-makers, and what are their individual priorities? Is there a triggering event — a funding round, a leadership change, a competitive shift — that makes this account more likely to be in-market?
Research from ITSMA, which has tracked ABM adoption for over a decade, consistently finds that account selection and pre-campaign intelligence are the two factors most strongly correlated with ABM success. Teams that invest here before they invest in campaign execution report significantly higher pipeline conversion rates than those that move straight to activation.
This distinction matters because personalization without intelligence is just customization. Swapping out a logo and referencing the account’s industry is not the same as demonstrating that you understand their specific business situation. Buyers notice the difference immediately.
They Define the Buying Committee, Not Just the Target Account
One of the most common ABM execution failures is treating the target account as a single entity rather than a group of people with different roles, different concerns, and different levels of influence over the purchase decision.
Enterprise B2B purchases involve more stakeholders than most marketing programs account for. Gartner’s research on B2B buying groups finds that the typical buying group for a complex B2B solution involves six to ten people, each bringing their own requirements and priorities to the evaluation. A program that only engages the economic buyer while ignoring the technical evaluator, the end user, and the procurement contact is not running ABM — it is running targeted demand gen with a smaller list.
The best account based marketing companies map buying committees at the account level before campaigns are designed. They identify who holds budget, who controls access, who will block the deal if they are not brought in early, and who is most likely to champion the solution internally. Each of those roles gets a different message, through a different channel, at a different point in the engagement sequence.
That level of committee mapping requires good data. It also requires marketing and sales to be genuinely aligned on who they are trying to reach inside each account — which brings up the next point.
Their Sales and Marketing Teams Are Running the Same Play
ABM alignment between sales and marketing is discussed constantly and achieved rarely. Most programs have some version of a shared account list and a regular sync meeting. The real question is whether both teams are actually using the same data, measuring the same outcomes, and making decisions based on the same account intelligence.
When alignment is genuine, the impact is measurable. A study from LinkedIn and Edelman found that companies with strong sales and marketing alignment are 67% more effective at closing deals. That number reflects something specific: when sales knows exactly what marketing has done with an account before they pick up the phone, they can continue a conversation rather than starting one from scratch.
In practice, this means sales reps know which contacts at a target account have been engaging with content, which pages they visited, and what topics they showed interest in. Marketing knows which accounts sales has active conversations with, so campaign messaging can reinforce rather than contradict what is being said in the sales process.
The mechanics of this require shared tooling and shared reporting. But the underlying requirement is simpler: both teams need to agree that pipeline is the only meaningful measure of ABM success, and that individual team metrics only matter insofar as they connect to that outcome.
They Treat Intent Data as an Operational Input, Not a Reporting Metric
Intent data has been part of the ABM conversation for years. Most teams have some access to it — either through their MAP, their data provider, or a dedicated intent platform. The difference between teams that use it well and teams that do not comes down to whether it informs actual decisions or just shows up in dashboards.
The best account based marketing companies use intent signals operationally. When an account starts showing elevated research activity around topics relevant to their solution, that signal triggers a specific response — an SDR outreach sequence, a shift in ad targeting, a direct outreach from a senior sales rep. Bombora’s intent data research shows that accounts demonstrating active intent signals are significantly more likely to convert than cold accounts, with some programs reporting two to three times higher conversion rates when outreach is timed to intent surges.
Using intent this way requires clean underlying data — you need to know who is at the account and how to reach them before the intent window closes. It also requires enough operational speed to act on signals quickly. Intent data has a short half-life. An account that is actively researching your category today may have made a shortlist decision in three weeks.
They Measure Account Progression, Not Campaign Activity
ABM measurement is where a lot of otherwise well-designed programs break down. The metrics revert to what is familiar — impressions, clicks, MQL volume, cost-per-lead — and the program gets evaluated on activity rather than outcomes.
Account progression is a fundamentally different measurement frame. Instead of asking how many leads a campaign generated, it asks how many target accounts moved from one stage of engagement to the next — from unaware to engaged, from engaged to active evaluation, from evaluation to pipeline. According to Forrester, companies that measure ABM success through pipeline influence and account engagement metrics are 60% more likely to achieve their revenue targets than those still relying on lead-based measurement.
The practical implication is that an ABM program can look quiet on a standard marketing dashboard — low lead volume, modest click rates — while simultaneously building significant pipeline momentum across a set of high-value accounts. Teams that measure the wrong things will pull budget from programs that are actually working.
Closing Thought
ABM is not a campaign type. It is a way of organizing a revenue team around the accounts that matter most and building a systematic program to win them.
The companies doing this well are not necessarily using more sophisticated technology than anyone else. They are being more disciplined about account selection, more rigorous about buying committee mapping, more honest about what alignment between sales and marketing actually requires, and more precise about what success looks like.
None of that is out of reach for most B2B teams. It just requires building the program deliberately rather than launching into execution before the foundation is ready. The best account based marketing companies did not get there by accident. They built it that way on purpose.
Running ABM well depends on the quality of data and intelligence sitting underneath the program. At Datamatics Business Solutions, ABM support is built around that foundation. Accurate contact data across buying committees, verified and regularly refreshed, combined with intent signal monitoring that helps identify when target accounts are moving into active evaluation.
Reach out at marketing@datamaticsbpm.com or visit the website to learn more about how DBSL supports account based marketing programs.
