B2B intent data is behavioral information showing that a company, or someone at it, is researching a product category, a problem, a vendor, or a competitor: the pages they read, the content they download, the reviews they compare, the topics they search. Bought from a provider or collected on your own site, it’s meant to tell you which accounts are in market before they tell you themselves. That’s a valuable thing to know, because 6sense’s survey of 2,509 B2B buyers found roughly 70% of the purchase process happens before a buyer engages a seller, and Gartner’s 2025 sales survey found 61% of B2B buyers would rather buy without a rep at all. The catch is that nearly everyone now has intent data, so the in-market accounts it surfaces are the same ones every competitor is calling. This guide covers what B2B intent data is, how it’s collected, what it can and can’t tell you, the 2026 cookie situation, and six ways to use it that don’t end in a buyer’s spam folder.
We use intent data at LeadSpot as a targeting input for content syndication and display programs, and we’ve published two long research pieces arguing it’s overrated as a lead source. Both views are in here, with the evidence for each.
The four kinds of intent data and where they come from
Intent data is sorted by who collected it, and the collection method decides how much you can trust it.
| Type | How it’s collected | What it tells you | Limits |
|---|---|---|---|
| First-party | Your own site, forms, product usage, email engagement, and CRM activity | Named people at named accounts doing specific things with your content | Only covers accounts that already found you; small volume |
| Second-party (review and directory sites) | G2, TrustRadius, and similar sites sell the identities of companies comparing products in your category | Accounts in active evaluation, often late in the journey | Skewed to software categories; competitors buy the same feed |
| Third-party co-op | A publisher cooperative (Bombora’s is the best known) pools content consumption across thousands of B2B sites and reports topic surges by company | Which accounts are reading unusually much about a topic, week over week | Account-level, anonymous; a surge on “cybersecurity” is a long way from a surge on your product |
| Third-party bidstream | Ad-exchange bid requests reveal what pages a device is loading, inferred back to a company by IP | Broad web activity at high volume | Noisiest of the four; IP matching misfires with remote work; the most exposed to privacy rules |
Most intent products you’ll be pitched blend two or more of these and score the result. The score is only as good as the weakest source in the blend, so ask which of the four rows a provider’s signal comes from before you ask what it costs.
What intent data can and can’t tell you
It can tell you that an account is paying attention to a topic. It can’t tell you whether that attention is a purchase project, a competitor’s employee doing research, an analyst writing a report, or a student. It can point to a company. It usually can’t point to the person, and in a buying group of six to ten people the person matters. And it can tell you that attention rose this week; it can’t tell you how long it lasts, which is why acting on a surge three weeks late reads as spam. Our research piece on whether third-party intent data is a scam works through the claims and the evidence in detail. The short version: the data is real, the marketing around it overstates what it means, and the failure is in treating a signal as a lead.
The saturation problem nobody selling intent data mentions
The 95-5 rule from the Ehrenberg-Bass Institute says roughly 5% of your buyers are in market at any given time. Intent data is a machine for finding that 5%. The trouble is that the machine is now standard equipment: Forrester’s 2024 survey, cited in our research on why intent data is failing, found nearly 100% of B2B marketing and sales teams use third-party intent data. So every vendor in a category sees the same surge at the same account in the same week, and the buyer experiences that as a flood. Demand Gen Report’s 2024 Buyer Behavior Survey, also cited there, put it at 36 or more vendor outreaches within two weeks of showing intent. The buyer tunes out, the vendors that arrive late compete on price, and the intent signal that was supposed to be an advantage becomes an invitation to a bidding war.
Our spend survey of 310 enterprise marketing leaders shows the money still moving toward the machine: intent data platforms are the primary budget channel for 10.6% of teams, and “intent data and AI-driven targeting” is the single most common planned increase for the next 12 months at 31.0%, ahead of verified lead programs and content syndication at 25.2%. That’s a lot of budget chasing the same 5%. The 95% who aren’t in market yet are still available, and reaching them is what owning the awareness stage means.
Where intent data stands after the cookie decision
For years the case against third-party intent data included a countdown: Chrome would drop third-party cookies and most of the tracking behind bidstream and cross-site signals would break. That didn’t happen. In July 2024 Google abandoned deprecation in favor of a user-choice prompt, and on April 22, 2025 it announced it wouldn’t introduce the prompt either, keeping third-party cookies available in Chrome under the existing privacy settings. As of 2026, cookie-dependent intent data works the way it did, with two caveats that haven’t gone away: Safari and Firefox block third-party cookies by default, and privacy regulators in the UK and EU still treat cross-site tracking as an active concern. Consent-based co-op data and your own first-party signals are the two sources that don’t depend on that settling in your favor.
Six ways to use B2B intent data that work
1. Treat intent as a filter rather than a lead
The highest-value use of intent data is deciding who gets your content, your ads, your events, and your outreach budget. Apply it to the targeting layer: an intent-filtered content syndication audience, an account list for display, a retargeting pool, a prioritized outbound queue. The output of that layer is still an opt-in download, a site visit, a reply, or a conversation, and those are the leads. An account name with a surge score next to it isn’t one. Our post on pairing content syndication with intent data covers the mechanics.
2. Own the awareness stage instead of renting the decision stage
If 95% of your buyers aren’t in market and every competitor is crowding the 5% who are, the open ground is the 95%. Putting genuinely useful content in front of your ICP before they show intent is slower, and it’s the reason a buyer’s shortlist has your name on it when the surge finally happens. UKG’s program is the pattern: opt-in, human-verified downloads from buyers competitors couldn’t reach, 5% to 12% lead-to-qualified-opportunity conversion, $22 of return per lead over 12 months, and $2 million in new sales.
3. Build first-party intent from your own gated content
The intent data you can trust most is the kind you generate: which asset someone downloaded, which pages they read before it, whether a second person from the same company showed up a week later, and how soon the first one came back. A pricing-page visit after a benchmark download means something a third-party topic surge never can. What your gated content reveals about buyer intent maps asset type to funnel stage so the signals read correctly.
4. Verify before you act
Intent signals attract junk as reliably as they attract buyers: bots that load pages, competitors doing research, analysts compiling reports, existing customers reading support content. Our research on fake and low-intent B2B leads covers how much of a typical lead flow falls into those buckets. We call leads to confirm role and fit against the client’s ICP before delivery, which is the difference between the verified HQLs we hand to sales and the standard MQLs an intent score produces on its own.
5. Score fit and engagement together, and time the touch
A surge at an account outside your ICP is noise. A surge at an ICP account with no engagement history is a reason to run awareness content at them. A surge at an ICP account that downloaded your report last month is a reason to call today. Combine the three inputs, and make the first touch reference something the account did, because in a 36-outreach fortnight the generic “I noticed you’re researching” email is the one that gets deleted. The sequence design is in the B2B lead nurturing playbook.
6. Hold the intent budget to a pipeline number
Our survey found 52.9% of enterprise demand gen teams put more than a quarter of their budget into channels they’ve never evaluated on SQL/SAL conversion, and intent platforms are a common line in that quarter. Measure them like any channel: opportunities and pipeline from intent-sourced accounts against the platform fee plus the outreach cost it drives. If the number doesn’t beat your other channels, the platform is a research tool, and should be budgeted as one. The demand generation strategy guide covers the measurement discipline across channels.
Who sells intent data
Providers fall into the same four groups as the data. Bombora runs the largest publisher co-op and licenses its topic surges to most of the others. ZoomInfo, Demandbase, 6sense, and TechTarget’s Priority Engine bundle intent with contact databases and account-based platforms, mixing co-op, bidstream, and their own signals. G2 and TrustRadius sell review-site intent. Cognism, Apollo, and similar contact-data tools resell a co-op or bidstream feed alongside their records. Pricing is almost never published and depends on seats, topics, volume, and contract length, so the questions that matter in an evaluation are the ones about source and freshness: which of the four types feeds the score, how often it updates, how a surge on a broad topic gets narrowed to a category like yours, and whether the account match can be audited against your CRM. We’ll compare the providers on those terms in a separate guide.
Mistakes that turn intent data into wasted budget
- Routing surges straight to sales. An account-level topic surge handed to an SDR as a “hot lead” produces a cold call to someone who may have been reading a news article. Route surges into targeting, and route verified engagement to sales.
- Buying the broadest topics. “Marketing automation” surges at thousands of companies a week. Narrow topics tied to your category produce fewer signals and far more real ones.
- Ignoring the 95%. A program that only acts on in-market signals is competing with every vendor’s identical program. Awareness spend on the not-yet-in-market ICP is what makes the intent signal pay off later.
- Never checking the match. IP-to-company matching decays as people work remotely and companies share networks. Audit a sample of surging accounts each quarter to see how many are who the platform says they are.
B2B intent data FAQ
What is an example of intent data?
A software company’s marketing operations team downloading a benchmark report on cost per lead from a trade publication is intent data: the topic, the role, the source, and the timing all suggest a program under review. A third-party example is a co-op provider reporting that a named account read three times its usual volume of content about content syndication last week. A first-party example is a visitor from that same account viewing your pricing page after the download.
Is intent data worth it for B2B marketing?
As a targeting input, usually yes: it makes syndication, display, outbound, and event budgets land on accounts more likely to be in market. As a lead source, usually no: it points at accounts rather than people, its surges decay within days, its signals are shared with every competitor, and buyers receive 36 or more vendor contacts within two weeks of showing intent. Programs that use intent to decide who sees content, and verify engagement before sales acts, get the value; programs that treat surge scores as leads mostly buy expensive noise.
What’s the difference between first-party and third-party intent data?
First-party intent data comes from your own properties: site visits, downloads, product usage, and email engagement, tied to known people and accounts. Third-party intent data comes from outside your properties, either a consent-based publisher co-op reporting topic surges by company or bidstream data inferred from ad requests. First-party is smaller and more precise; third-party is broader and noisier. Most effective programs use third-party data to choose who to reach and first-party data to decide when sales should call.
Does intent data still work without third-party cookies?
In Chrome, third-party cookies are still available. Google dropped its deprecation plan in July 2024 and in April 2025 decided against a user-choice prompt, so cookie-dependent intent data works there as before. Safari and Firefox block third-party cookies by default, and consent-based co-op data and first-party signals don’t depend on cookies at all, which is why they’re the two sources to weight most heavily in 2026.
If you’d like to see intent data used as a filter on a real program, with opt-in downloads and phone verification behind it, book a call and we’ll walk through how we’d build the targeting for your ICP.