What Is Intent Data and How Do B2B Sales Teams Use It?

Intent data is behavioural evidence that a buyer is in or near a buying cycle. It is built from signals such as content consumption, search activity, website visits, product review browsing, job changes and technology adoption. When a company suddenly increases its research into a topic, that surge is the intent signal, and it suggests the account is more likely to respond to outreach than a random account picked from a list.

The category has moved from a niche idea to a mainstream part of the sales stack. According to figures cited by TechInformed, the market for B2B intent data tools is worth roughly 4.49 billion dollars in 2026 and is projected to reach 20.89 billion dollars by 2035, growing at about 16.6 percent a year. That growth reflects a simple truth. Outbound is expensive, and any reliable way to point limited sales effort at accounts that are already in motion pays for itself quickly.

It is worth being precise about what intent data is not. It is not a guarantee that an account will buy, and it is not a replacement for a good ideal customer profile. It is a prioritisation layer. It tells you where to spend attention first, not whether a deal will close.

There are two main types of intent data, and they answer different questions. First-party intent data comes from your own properties, such as website visits, content downloads, email engagement, demo requests and product usage. It is highly accurate because it is your own data, but it only shows you accounts that have already found you. Third-party intent data comes from external networks of publisher and review sites that track research activity across the wider web, which gives you visibility into accounts that have never touched your brand.

Neither type is better on its own. Unify makes the point well in its breakdown of the two: first-party data is more accurate, third-party data has wider reach, and the strongest signal is when the two overlap. When a company that third-party data shows is researching your category also appears in your first-party website data, you are looking at one of the clearest buying signals available in B2B.

Third-party data is gathered through cooperatives of publisher websites. Default notes that Bombora, which pioneered the category, collects consent-based signals from more than 5,000 premium B2B publisher sites and tracks around 17 billion interactions every month. That scale is what makes third-party intent useful, but it is also why it is noisier than first-party data and needs to be filtered carefully.

B2B sales teams use intent data primarily to prioritise which accounts to contact first. The data from The Insight Collective is clear on this: 85 percent of sales teams use intent data to prioritise accounts, 44 percent use automated alerts triggered by intent signals, and 40 percent use it to adjust the stage of an opportunity based on how relevant the buyer's recent activity is. In other words, intent data is mostly a triage tool, and the teams that get value from it treat it that way.

The second major use is timing. A cold account that shows a surge in research activity has effectively raised its hand, even if it has not contacted you. Reaching that account in the days after the surge, rather than weeks later, is the difference between landing in a live consideration set and arriving after the shortlist is written. The third use is messaging. If intent data tells you an account is researching a specific topic, your opening line can reference that topic directly instead of guessing.

The performance numbers for intent data are strong but need a careful reading. The Insight Collective reports that 99 percent of businesses say they saw an increase in sales or return on investment after adopting intent data. That figure sounds almost too good, and the more useful number sits next to it. While 91 percent of B2B marketers now use intent data to prioritise accounts, only 24 percent report exceptional return on investment from it. Adoption is near universal. Excellence is rare.

The conversion figures point the same way. Landbase cites that intent-based campaigns can see conversion rates 93 percent higher than traditional approaches, and that combining multiple signals can produce 25 to 35 percent higher conversion rates and 30 to 40 percent shorter sales cycles. Yet the same research notes that only around a quarter of companies use intent data at all. The opportunity is real, but the gap between buying the data and getting results from it is the whole story.

Investment is rising regardless. Roughly 40 percent of businesses now dedicate more than half their marketing budget to intent data, and around 70 percent of those plan to increase that spend, while half of the companies not yet investing plan to start within a year. The category is becoming standard infrastructure, which means the competitive advantage is shifting from having intent data to using it well.

The honest answer is that intent data fails when it is treated as a lead list rather than a prioritisation layer. A surge in research activity is not a qualified lead. It is a hint that an account is worth a closer look. Teams that dump intent accounts straight into a generic sequence get poor results and conclude the data does not work, when the real problem is that they skipped the qualification and personalisation steps that make the signal valuable.

The second failure is acting too slowly. Intent signals decay. An account researching your category this week may have shortlisted vendors by next month. If your process takes two weeks to route an intent account to a rep, the signal is stale before anyone acts on it. The third failure is signal overload. Third-party data in particular generates far more signals than a team can action, so without a clear threshold and a tight account list, reps end up chasing noise.

At Leadriver we treat intent data as one input into account selection rather than the whole engine. Our campaigns combine intent signals with a tightly defined ideal customer profile and human research, so a rep reaching out to an intent account already has a specific, relevant reason to be in touch. The signal earns the account a place near the top of the queue. The research earns the reply.

The provider market is mature and crowded. The Forrester Wave for B2B intent data published in early 2025 named five leaders: Intentsify, 6sense, Bombora, Informa TechTarget and Demandbase. Each takes a slightly different approach, with some focused on raw third-party data feeds and others bundling intent into a wider account-based platform. Demandbase frames intent as one component of an account-based motion rather than a standalone product, which is a useful way to think about where it fits.

The right choice depends on what gap you are filling. If you already have strong first-party data and need wider reach, a third-party data specialist makes sense. If you have no account-based infrastructure at all, a platform that bundles intent with targeting and orchestration may be better value than buying a raw feed you cannot action. The wrong move is buying the most expensive option and assuming the price tag will translate into pipeline. The numbers above show it usually does not.

Start with a tight ideal customer profile, because intent data only adds value on top of a list that already makes sense. Then layer intent signals onto that list to rank accounts, rather than expanding the list with every account that shows a signal. Set a clear threshold so reps act only on meaningful surges, and build a fast routing path so an intent account reaches a rep within days, not weeks.

When a rep contacts an intent account, the outreach should reference the relevant context without being creepy about it. Buyers know their behaviour generates signals, but heavy-handed messaging that quotes their exact research reads badly. The better approach is to use the signal to inform a relevant, well-researched opener, then let the conversation do the work. Finally, measure the right thing. The point of intent data is not more activity. It is a higher meeting rate from the same or less outreach, because you pointed effort at accounts that were already moving.

Intent data is a prioritisation and timing tool. It is not a strategy on its own. The accounts it surfaces still need a clear value proposition, a sensible multi-channel sequence, deliverable email infrastructure and reps who can hold a conversation. A team with a weak offer and good intent data will simply get to no faster. A team with a strong offer and good intent data will book more meetings from the same effort.

The figures from Salesgenie and others consistently show the same shape. Buyer intent is one of the most reliable predictors of which accounts will engage, but the predictive power only converts to revenue when the rest of the machine is sound. Treat intent data as the steering, not the engine. It tells you where to point a working outbound system. It cannot fix one that is broken.

Not every signal carries the same weight, and one of the quiet skills of using intent data well is knowing which signals to act on and which to ignore. Topic surges, where an account suddenly increases its research into a category, are the classic third-party signal, but they are broad and need supporting evidence. Job changes are a strong and underused signal, because a new leader in a relevant role often arrives with a mandate to change tools and suppliers. Technology adoption signals, which show what an account already runs, help you spot both competitive displacement opportunities and integration fit.

First-party signals tend to be sharper. A repeat visit to a pricing page, a return visit from someone in a buying role, or a content download followed by quiet browsing of comparison pages all suggest an account is moving from awareness into evaluation. The practical approach is to score signals rather than treat them equally. A topic surge on its own earns an account a closer look. A topic surge combined with a pricing page visit and a relevant job change is a clear instruction to call this week.

The mistake to avoid is tracking every available signal because the platform offers it. More signal types create more noise, and noise is the main reason teams abandon intent data. Pick the handful of signals that genuinely correlate with deals in your business, weight them, and ignore the rest until you have evidence they matter.

What is intent data in simple terms? Intent data is information about online behaviour that signals a company or person is actively researching a product or service. It is built from signals such as content consumption, search activity, website visits and product review browsing. B2B sales teams use it to identify which accounts are likely to be in a buying cycle so they can prioritise their outreach.

What is the difference between first-party and third-party intent data? First-party intent data comes from your own properties, such as website visits, content downloads and email engagement. It is highly accurate but only shows accounts that have already found you. Third-party intent data comes from external networks of publisher and review sites and shows research activity across the wider web, including accounts that have never touched your brand. The strongest signal is when both types point at the same account.

Does intent data actually work? The evidence is positive but uneven. Around 99 percent of businesses report a sales or return on investment increase after adopting intent data, and intent-based campaigns can see conversion rates roughly 93 percent higher than traditional approaches. However, only about 24 percent of teams report exceptional return on investment, because most treat intent data as a lead list rather than a prioritisation layer. It works when it is used to rank a good list, not to replace one.

How quickly do intent signals decay? Intent signals are time sensitive and lose value within weeks. An account researching your category now may have shortlisted vendors within a month. This is why a fast routing process matters. If it takes two weeks to get an intent account in front of a rep, the signal is often stale before anyone acts on it.

How much does intent data cost? Pricing varies widely depending on whether you buy a raw third-party data feed or a full account-based platform that bundles intent with targeting and orchestration. The more important cost to weigh is the work needed to action the data. A cheap feed nobody uses costs more in wasted effort than a well-integrated platform that actually drives rep activity.

Can intent data replace an ideal customer profile? No. Intent data adds value on top of a well-defined ideal customer profile, not instead of one. It tells you which accounts within your target market are showing buying behaviour. If you layer intent onto a poorly defined list, you simply prioritise the wrong accounts faster.

Who are the leading intent data providers? The Forrester Wave for B2B intent data published in early 2025 named Intentsify, 6sense, Bombora, Informa TechTarget and Demandbase as leaders. Each has a different emphasis, with some focused on third-party data feeds and others bundling intent into broader account-based platforms. The right choice depends on whether you need wider reach, better orchestration, or both.