You are paying for a buying signal that is already sitting in your analytics and your inbox. Someone dropped the term “intent data” at a conference. You went back to the office feeling like your company was behind, and you started checking out vendors. The first quote you got started in the five figures per year. And you asked yourself: should a 120-person software house even be buying this?
Pause for a moment on a different question. When was the last time someone came back to your site for the third time in a week, opened your pricing page, and reopened the same proposal you sent a month ago? That was an intent signal. Specific, current, free. And chances are, nobody acted on it.
This article will show you what buyer intent data actually is, which signals you already have for free and are leaving unused, and above what scale threshold buying third-party data even starts to make sense. Without selling you anything you don’t already own.
Key Takeaways – Buyer intent data is any signal that a company is actively looking for a solution to a problem you address. It splits into first-party (behavior on your own channels, which you have for free) and third-party (behavior off your site, which you buy). – A full 80% of the B2B buying process happens without a sales rep (Gartner, 2024). The signals buyers leave behind are often all you have before anyone reaches out. – For most companies below enterprise scale, the unused first-party signals you already have are worth more than anything they could buy, because they are specific, current, and free. – Third-party intent data only starts to make sense above a specific scale threshold. An 80-150 person software house is usually below it. – A buying signal with no response process doesn’t grow sales. It grows the number of reports.
What Is Buyer Intent Data?
Buyer intent data is any signal indicating that a company is actively looking for a solution to a problem you address. Not “who is this company,” but “is it doing something about your issue right now.” That distinction drives everything you’ll read below.
Why are these signals worth your attention at all? Because buyers spend only 17% of their buying time meeting with vendors (Gartner, 2024), and when they compare several companies, any one rep gets roughly 5% of their attention. The rest of the time, your prospect is researching, reading, and comparing, and you can’t see them. Unless you learn to read the traces they leave.
Think of it like footprints in the snow. You can’t see the person, but you know they passed through, which way they went, and how long ago. Intent data is those footprints. The question isn’t “do you have them,” it’s “are you even looking down.”
First-Party vs Third-Party: Where the Signal Comes From
The whole category splits into two parts that differ not by degree, but by nature. First-party signals come from your own channels and are free. Third-party signals you buy, and they cover the buyer’s behavior off your site. That sounds like a technical nuance until you see the pricing.
Industry reports put third-party intent data contracts starting around $12,000-25,000 a year for an entry tier, with full-featured solutions reaching $75,000-150,000 and up (DemandScience, 2026; figures aggregated from vendor pricing). Keep that in mind as you look at the table below: one column costs zero, the other costs as much as a headcount.
| Dimension | First-party intent | Third-party intent |
|---|---|---|
| Source | Your site, email, product, CRM | Publisher network, review platforms, other sites |
| Cost | Zero (you already collect it) | From tens to hundreds of thousands of USD per year |
| Freshness | Real time | Depends on the vendor, often delayed |
| Specificity | You know exactly who did what on your site | Usually company and topic level, not the person |
| Control | Full, it’s your data | None, you’re paying for access |
What does that mean in practice? A first-party signal tells you that this specific person from this company opened that proposal yesterday. A third-party signal tells you that some company on your list “is showing activity around a topic.” The first is ready to act on right away. The second still needs work before it means anything.
The First-Party Signals You Already Have
This is the core of the article, so slow down. Across more than 200 audits, the same picture repeats: first-party signals sit unused, while the conversation inside the company is about buying third-party data. It’s a bit like wanting to buy bottled water when you have your own well in the basement that you’ve never looked into.
Buyers leave these traces because they have to. A typical B2B buying committee is 6 to 10 people, each of whom independently gathers four or more pieces of information before anyone contacts a vendor (Gartner, 2024). That’s dozens of micro-interactions with your channels before a single lead appears. Here are the most common signals you already have for free:
| Signal | What it means | What to do with it |
|---|---|---|
| Returning visitor | Someone came back to your site several times in a short window. That rarely happens by accident. | Check which company they’re from and what they looked at. This isn’t anonymous traffic, it’s interest. |
| Pricing page visit | The person moved from “what is this” to “how much does it cost.” They changed research phase. | Treat it as the moment when silence on your end costs the most. |
| Third open of the same proposal | You sent a proposal, and they keep coming back to it weeks later. Something is maturing inside the company. | This is an invitation to a conversation, not to another automated email. |
| A question in a reply to your email | Someone replied with a specific question. The highest form of intent there is. | Answer fast, and as a human, not a sequence. |
| Repeat visits from one domain | Several people from the same company visit you independently. A sign the topic is circulating in the committee. | See it as a picture of the whole buying team, not a single person. |
Notice what’s missing from this table. There are no weights, no thresholds, no points. On purpose. If I told you a pricing page visit is “worth 15 points” and a third proposal open is “worth 10,” I’d be selling you a scoring model instead of the skill of reading a signal. The skill matters more, because it works before you buy any tool at all.
When Third-Party Data Starts to Make Sense
Let me ask you an uncomfortable question. How many target companies does your sales team realistically handle in a year? If the answer is “a few dozen, maybe a hundred,” third-party intent data probably isn’t for you. And that’s fine.
Third-party data makes economic sense when the scale of target accounts is so large that you can’t work them by hand, and the value of a single contract (ACV) justifies the ongoing subscription cost. That’s the world of companies with a full ABM team and thousands of accounts on the list. For context: 77% of buyers describe their most recent purchase as extremely complex or difficult (Gartner, 2024), so enterprise really does need help sifting through enormous lists. You, at a hundred accounts, don’t need that help, because you can read every first-party signal one by one. Public signals help with competitor research as well: hiring signals show where a company is heading months before its website does.
There’s one more reason for caution. The intent data effectiveness figures you’ll find online come almost exclusively from the companies that sell that data. Case studies claiming close-rate increases of hundreds of percent are vendor data, not independent research. That doesn’t mean they’re lying. It means you have no way to verify whether those results will repeat at your scale and with your process. “Probably not now” is an honest answer, not a cowardly one.
Intent Isn’t Fit
A short but important distinction that trips up a lot of people. A company can be actively looking for a solution and, at the same time, not be your customer at all. Intent says “someone is looking for something.” Fit says “that someone should buy specifically from you.” Those are two different axes, and confusing them costs your team time.
Consider this number: the average B2B purchase now involves 13 stakeholders (Forrester, State of Business Buying 2024). Some of them generate intent signals even though their company will never buy your solution, because it’s too small, too big, or in the wrong industry. A signal without a fit filter is noise wearing a “hot lead” label. Before you react to intent, ask: is this even our kind of customer?
Why Intent Data Disappoints
Here’s the sentence that ties the whole topic together: an intent signal with no response process doesn’t grow sales, it grows the number of reports. Most disappointment with intent data doesn’t come from bad data. It comes from the signal arriving, landing in some dashboard, and nobody doing anything with it.
Picture a smoke detector that detects a fire flawlessly but isn’t connected to anything. The data is perfect. The house burns down anyway. That’s exactly what happens when you buy expensive third-party signals without a process that turns a signal into fast, human contact. 67% of B2B buyers say they prefer a rep-free experience (Gartner, 2026), which means the window for a good response is narrow. A signal you react to three days later is worth about as much as none. That’s why intent data only pays off once lead routing decides who acts on each signal.
What happens in 12 months if you change nothing? You buy the data, add it to the pile of unused first-party signals, and end up with twice as much data that nobody acts on. The problem isn’t the quantity of signals. It’s the absence of a process.
What Good Looks Like
Imagine every intent signal you already collect reaching the right person before it goes cold. A returning visitor from a company that fits your profile triggers contact the same day. A third proposal open lands on a rep’s desk as “call now,” not as a line in a monthly report. A reply to an email gets a human within hours.
In that picture, you haven’t bought a single record of third-party data. You’ve built the habit of reading and acting on what you already have. 92% of buyers start their buying process with at least one vendor already on the list (Forrester, 2024), and that list forms during the quiet research phase you can’t see in your CRM. The company that responds first to a first-party signal is more likely to be on that list. That’s an edge you can’t buy with a subscription.
FAQ
What is buyer intent data? It’s signals indicating that a company is actively researching a problem you solve. They split into first-party (behavior on your channels) and third-party (behavior off your site, bought from vendors).
First-party vs third-party: what’s the difference? First-party comes from your own channels, is free, current, and specific down to the person. Third-party you buy, it covers activity off your site, and it usually works at the company and topic level, not the individual person.
Is intent data worth it? For companies below enterprise scale, usually not, if we’re talking about bought data. But the first-party signals you already have are worth a great deal, because they cost nothing and are more accurate. Start with those.
Is there free buyer intent data? Yes, and you’re probably already collecting it. Returning visitors, pricing page visits, repeat proposal opens, and email replies are free, strong intent signals from your own channels.
What are buying signals, with examples? They’re specific behaviors that reveal an intent to buy: someone returns to your site several times, visits your pricing page, opens the same proposal for a third time, or replies to an email with a question. Each of them says “this company is weighing something right now.”
Before You Spend Your First Dollar on Data
Three things worth remembering. First, the strongest intent signals you already have for free, and you probably aren’t using them. Second, third-party data only makes sense above a scale threshold that an 80-150 person software house usually doesn’t reach. Third, no signal, bought or free, will grow sales without a process that turns it into fast contact.
Before you pay anyone for signals, look at what you already collect and what you’re not doing with it. That’s usually an hour-long conversation that saves you a five-figure contract.
→ Pipeline Diagnostic: find out which intent signals you already have and what you’re not doing with them.
→ RevOps Readiness: if you’re closer to a decision, first assess whether your process will even respond to a signal before you start buying more.
In the next step, I’ll show you how to go from an anonymous visitor to a named account, that is, how to turn a bare signal into a specific company you can actually talk to.