Most B2B teams do not have an intent data problem. They have an orchestration problem. They just spent a quarter and a six-figure contract solving the wrong one.
The pattern is everywhere. A team licenses intent from Bombora, 6sense, or Demandbase. The surge data flows in. It populates a beautiful dashboard. A SDR or marketer checks it on a cadence, maybe daily, maybe weekly. By the time anyone acts, the buyer has already talked to three vendors and shortlisted two of them. The signal was accurate. The response was late. Late is the same as wrong.
The signal was never the asset
When Demandbase launched Agentbase in March 2025, the headline was not “better intent data.” It was a system of connected AI agents that act on the signal. That distinction is the entire game.
They published the proof point that most teams skip past. Campaigns built on Demandbase intent and engagement models drove a 40 percent higher click-through rate and a 25 percent greater lift in page visits than standard campaigns. Read that carefully. The lift did not come from owning rarer data. It came from wiring the data directly into the action layer so the response happened inside the window, not after it.
That is the part the market keeps getting backwards. Vendors compete on signal volume: a trillion signals a day, two trillion a month, hundreds of thousands of keywords. Buyers nod along and grade providers on coverage. None of that breadth matters if the signal lands in a CRM field that nobody routes off of.
A buyer signal is a perishable asset. Its value decays by the hour. The CISO who searched “endpoint detection pricing” on Tuesday is not the same prospect on Friday. By Friday she has a demo booked, a champion forming, and a frame of reference set by whoever responded first. You did not lose because your data was weak. You lost because your system was slow.
Orchestration is the product
Here is what acting on a signal actually requires, and where most stacks break. The signal arrives. Something has to score it against fit, not just activity. Something has to resolve the account-level surge down to a specific person, because “Acme is surging on cybersecurity” does not tell a rep whether to call the CISO, the VP of Engineering, or procurement. Something has to route that person to the right play. Something has to fire the first touch, an ad, an email, a task with context, before a human has even logged in.
If any link in that chain depends on a person noticing a dashboard, the chain is broken. You have automated the observation and left the action manual. That is the most expensive possible configuration: you pay for the signal and still pay the full latency tax of human reaction time.
This is why I treat intent data as the cheapest part of a signal program and the orchestration as the expensive, defensible part. The data is a commodity you can buy. The system that turns a surge into a scored, routed, sequenced next action in minutes is the thing competitors cannot copy by writing a check. The agentic layer the category is racing toward, Demandbase being one example, is not exciting because it is AI. It is exciting because it finally closes the gap between “we saw it” and “we did something.”
The CODN is hiding in your green dashboard
The Cost of Doing Nothing on this is brutal precisely because it is invisible. Nothing looks broken. The dashboard glows. The signals flow. Leadership sees the intent feed and assumes the program is working. Meanwhile every in-market account that surged, sat in a queue, and converted with a faster competitor is a deal that simply never appears in your pipeline. You cannot mourn a meeting you never knew you could have booked. That is the most dangerous kind of loss: the silent one, compounding every week the orchestration gap stays open.
So stop auditing your vendors on signal volume. Audit your own system on one number: time-to-first-action on a high-intent surge. Measure it honestly. If the answer is “a few days,” the data is not your problem and a bigger data contract will not fix it.
The teams that win the next two years will not be the ones with the most signals. They will be the ones whose systems act on a signal before the buyer finishes their first search. Buy less data. Build the machine that uses it. The signal is loud. The question is whether anything in your stack is actually listening.