There’s a moment that plays out in thousands of revenue teams every week. An intent platform flags that a target account is "surging." The alert lands in an SDR’s queue with a score attached, maybe an 87, maybe a color-coded tier. The SDR opens the account record and stares at a company with tens of thousands of employees, wondering which of them actually did the thing that triggered the alert.
And then… tada! They move on, because there’s nothing else to do. 🤷
This is a failure at the center of account-based intent, and it’s got very little to do with data quality. The data is often fine. The problem is structural, though. The signal was generated by a person, and by the time it reaches you, the person has been erased.
Intent doesn’t happen to companies
When 6sense tells you Salesforce is surging on "sales engagement platforms," what actually happened is that a specific human being at Salesforce read a review, downloaded a comparison guide, or spent twenty minutes on a competitor’s pricing page. That person has a name, a role, a team, and a problem they are trying to solve right now.
Account scoring takes that individual behavior and rolls it up into a company-level abstraction. The aggregation feels like insight because it produces a number, and numbers feel actionable. But consider what the rollup destroys:
- Who did the research, out of 70,000 possible employees
- Whether they have any influence over the purchase
- What specifically they were looking at, in a form you can respond to
- How to reach them before the moment passes
What this looks like in practice
We see the downstream consequences of this in our own closed-won data at Vector. There’s a recurring pattern among companies that come to us: they bought an account-scoring platform, usually 6sense, with real enthusiasm and a real budget. The demo was compelling, and those dashboards were beautiful. 💅
Then the operational reality set in. Marketing would pass "surging accounts" to sales, and sales would ask the only question that matters: “who do I call?” (not Ghostbusters, in this case). The platform had no good answer, because the answer had been aggregated away.
It’s a familiar account-based marketing challenge: the signal could be the CFO or an intern building a slide deck, and the dashboard shows both identically. SDRs learn to ignore the alerts. Marketing keeps paying for a system the field had quietly stopped trusting.
The striking part is how long this cycle runs before anyone pulls the plug. In several cases, the platform survives multiple CMO transitions. Each new leader inherits the contract, assumes the previous team simply hadn’t operationalized it correctly, invests another two quarters in enablement and workflow redesign, and eventually hits the same wall. The tool’s not broken – it’s the unit of analysis.
Eventually someone rips it out, and the post-mortem always sounds the same: we knew accounts were in-market, but we could never turn that knowledge into a conversation.
Why better models won’t fix it
The instinctive response to this failure is to demand a smarter score. More data sources, better weighting, a machine learning layer on top. This misunderstands where the loss occurs. Scoring isn’t the problem. A score you can open and trace back to named behavior is useful. A score that only knows companies can’t be traced to anyone.
Information about who’s researching gets destroyed at the moment of aggregation, and no amount of modeling downstream can recover it. You can build the most sophisticated account score in the industry and you will still be handing your SDR a company name and a number. The precision of the model has no bearing on the precision of the action it enables, because the action requires a person and the model only knows companies.
Advertising suffers the same way. Account-based ad targeting means spraying impressions across an entire company’s employee base and hoping some of them land on the handful of people who were ever going to care. Most of that spend reaches people with no connection to the buying process, which is why account-based ad performance so often looks indistinguishable from broad programmatic with better reporting. Contact-level advertising exists precisely because that spend pattern is unrecoverable at the account level.
The fix is preserving the signal, not scoring it harder
The alternative is straightforward once you name it: keep the individual attached to their behavior from the moment of capture through the moment of action.
When you know that a specific person at a target account is researching your category, everything downstream changes character. Your SDR has a name and a reason to reach out this week. Your ads can be served to that person directly through signal-driven ad audiences, along with the small circle of colleagues likely to be in the buying committee with them, rather than to an entire org chart. Your measurement can connect an impression to a person to a meeting, instead of gesturing at account-level lift.
Contact-level intent also changes the economics of the whole motion. Budget stops leaking into impressions on people who will never touch the deal. Sales capacity stops burning on alerts nobody can act on. The pipeline conversation between marketing and sales gets easier, because both teams are finally looking at the same unit: a human being showing buying behavior.
None of this requires abandoning the account view, or even your existing intent sources. A signal-based marketing approach can take feeds from tools like 6sense or Bombora and unify them at the contact level, where they finally become actionable. Accounts still matter for territory planning, for deal strategy, and for understanding how committees form. The point is that the account is the wrong resolution for detecting and acting on intent. Intent lives at the level of the person, and any system that discards the person before the signal reaches your team has thrown away the most valuable thing it ever captured.
See who’s actually in-market
Vector was built around this idea. Instead of telling you that an account is surging, it shows you, by name, the individual contacts researching your category, so your sales team knows exactly who to reach and your ads go to the people who generated the signal in the first place. And when the deal closes, you can show every touch on the way there, on one timeline.
If your team has lived the pattern described above, we’d love to show you the difference. Book a demo with Vector and see contact-level intent on your own target accounts.
Frequently asked questions
What’s account scoring in B2B marketing?
Account scoring is the practice of assigning a numerical score or tier to a company based on aggregated signals, such as web research activity, technographic fit, and engagement history. Platforms like 6sense and Demandbase use these scores to tell revenue teams which accounts appear to be in-market for a product.
Why does account-level intent data fail sales teams?
Because intent is generated by individual people, and account scoring aggregates their behavior into a company-level number. When an SDR receives an alert that a large account is surging, they have no way to know which of thousands of employees triggered the signal, which means they have no one to contact and no context for outreach. Over time, sales teams learn to ignore alerts they cannot act on.
What’s contact-level intent data?
Contact-level intent data identifies the specific individuals researching a product category, rather than rolling their behavior up to the company level. It preserves the person behind the signal, so sales teams know exactly who to reach and marketers can serve ads directly to the people showing buying behavior. Acting on it well usually involves a small set of contact-level ABM tools working together across identification, targeting, and activation.
Is contact-level intent better than account-level intent?
For driving action, yes. Account-level intent can tell you that interest exists somewhere inside an organization, which is useful for prioritization but hard to act on. Contact-level intent gives you a named person to call and to advertise to, which converts the signal into pipeline instead of leaving it stranded in a dashboard. The two can complement each other, with accounts guiding strategy and contacts guiding execution.
Why do companies churn off platforms like 6sense?
A common pattern is operational rather than technical: the platform surfaces surging accounts, but sales cannot identify who to contact within them, so the alerts go unused. Marketing continues paying for a system the field has stopped trusting, sometimes across multiple leadership transitions, until someone concludes the account-level signal was never actionable and cancels the contract.
How does Vector identify individual buyer intent?
Vector identifies the specific contacts researching your category at your target accounts, keeping the person attached to their behavior from capture through action. That lets sales reach out to the actual researcher and lets marketing serve ads to that person and their likely buying committee, instead of spraying impressions across an entire employee base.
