The 19 Best B2B Intent Data Providers in 2026, Ranked by the Signal They Own
A sales leader tells you the team needs intent data. You buy some. Nine months later you are paying three vendors, two of them are quietly reselling the same feed, and the reps have stopped opening the alerts because the accounts in them were never going to answer the phone. The mistake was not the vendor. It was treating intent as one product when it is at least eight different signals that prove eight different things.
A person sitting on your pricing page for four minutes and an anonymised uptick in article reads across a publisher network are both sold to you under the word intent. One of them is a named human you can call before lunch. The other is a directional hint about a company that may or may not have a budget, resolved by IP address, aggregated to a domain, and already a week old by the time it reaches your CRM. Sold under one label, priced in the same range, and useful in completely different motions.
So this list is built the other way round from every other page on this search. The eight signals come first, ranked by how much each one actually proves, and the providers sit underneath the signal they genuinely own. Each signal carries what it proves, whether it resolves to a person or an account, how fast it goes stale, and the specific way it lies to you. If you only read the first section you will still be able to name the signal your pipeline is missing, which is the part no vendor comparison will tell you.
Quick Digest
- Intent is eight signals, not one category. First-party visits, category evaluation, champion job changes, topic surge, keyword and bidstream, opt-in research, initiative signals, and install-base renewal windows. Each proves something different and decays at a different speed.
- Three of the eight are worth acting on the same day. Five are not. Handing a rep an account-level topic surge and asking for a cold call is the most common way an intent budget is wasted, and it is why teams conclude intent data does not work.
- Several vendors on your shortlist are probably the same feed. Bombora powers third-party intent inside Demandbase, Cognism, SalesIntel and RollWorks among others. Buying two of them is buying the same signal twice with a different login.
- Bidstream provenance is a live regulatory question, not a technical footnote. The UK ICO and the Belgian data protection authority have both found that use of bidstream data conflicts with GDPR. Any vendor whose keyword intent is bidstream-derived owes you a written answer on lawful basis.
- ZoomInfo Streaming Intent is bidstream-derived. It came out of the 2020 Clickagy acquisition, which brought 300,000-plus publisher domains and keyword-to-device pairings at very large scale.
- Person-level resolution is mostly a United States privilege. RB2B resolves people only for US traffic. Dealfront is company-level only in GDPR regions by design. If your buyers are in Europe, half the vendor demos you watch are showing you something you cannot legally have.
- Informa TechTarget is the only mainstream source selling named, opted-in people rather than accounts, and it only works if you sell into enterprise IT. Outside that vertical it has nothing for you.
- The cheapest strong signal is the one you already own. Your own website, your churned champions, and your competitor comparison pages produce better evidence than most paid third-party feeds, and almost nobody instruments them properly before buying.
Intent data is eight different signals, not one product
Intent data is any observable behaviour that suggests a company is moving toward a purchase. That definition is correct and almost useless for buying, because it covers a person typing your product name into a comparison page and it covers an anonymised reading pattern inferred from ad exchange traffic. Both are sold as intent. Only one of them is evidence.
Most articles on this term sort providers by where the data came from: first-party, second-party, third-party. That taxonomy describes the supply chain, not the signal. It tells you who collected the data and says nothing about what the data proves, how long it stays true, or whether you will get a name or a domain. Two third-party feeds can be as different from each other as either is from your own web analytics. Sorting by provenance is how a shortlist ends up with three products that all do the same thing.
Sort by what the signal proves instead and the category splits cleanly into eight families. They are listed here in order of how much each one proves, which is not the order of how much they cost.
| # | Signal family | What it actually proves | Resolution | Half-life | How it lies to you |
|---|---|---|---|---|---|
| 1 | First-party visit | Someone at this account is on your page right now | Person in the US, account elsewhere | Hours | Competitors, candidates, your own vendors, bots |
| 2 | Category evaluation | Someone is comparing you against a named competitor, late in the cycle | Account, sometimes person | Days | Analysts, consultants and students research too |
| 3 | Relationship | A person who already chose you once now has new budget | Person | Weeks, inside a roughly 90-day window | Lateral moves carry no budget authority |
| 4 | Topic surge | This account's research on a topic is above its own baseline | Account, often domain | One to three weeks | Large companies surge on everything |
| 5 | Keyword and bidstream | Devices at this address matched your terms | Account, inferred by IP | Days | Shared IPs, VPNs, consumer traffic, exchange noise |
| 6 | Opt-in research | A named, consented person consumed buy-cycle content | Person | Weeks | The person is real; their authority may not be |
| 7 | Initiative | The account just funded or started the project you sell into | Account | Months | Backfills and evergreen job posts read as growth |
| 8 | Install base and renewal | The account runs your competitor and its window is opening | Account | Quarters | Detection goes stale; the tag outlives the tool |
The three tiers matter more than the eight rows. Signals one to three tell a rep to do something today, because they identify a specific human with a specific reason to talk. Signals four to six tell a marketer where to point spend this quarter, because they identify a population, not a person. Signals seven and eight tell an account team which logos to build a plan against this year. Buying a tier-two signal and asking a rep to cold call it is the single most common failure in this category.
One distinction worth fixing before you shop. Firmographic data describes who an account is and barely changes. Intent data describes what an account is doing and expires. Employee count, industry and revenue band are stable facts you can license once and refresh quarterly. A pricing page visit is worth something for a few hours. Vendors that sell both will happily let you conflate them, because a firmographic contract renews more predictably than an intent one. If you want the sourcing side of that first category, our guide to firmographic data sourcing covers it properly.
Quick Summary
What are the main types of B2B intent data?
There are eight that behave differently enough to buy separately: first-party visit intent from your own site, category-evaluation intent from review marketplaces, relationship intent from champion job changes, topic-surge intent from publisher co-ops, keyword and bidstream intent inferred from IP-level web activity, opt-in research intent from publisher networks with consented members, initiative intent from hiring and funding events, and install-base intent from technographic and contract-timing data. The common first-party, second-party and third-party split describes where each one was collected, not what it proves, which is why it is a poor basis for a shortlist.
Expert Insights
The resolution question decides the motion, and it is mostly a geography question. Person-level identification of anonymous web traffic is a United States capability. Vendors built for GDPR regions resolve to company level by design, and Dealfront states plainly that it offers no person-level identification in those regions. A European buyer evaluating a US-built visitor identification demo is watching a feature they will not receive, which is a conversation worth having in the first call rather than the third.
How we ranked the signals, and how to read these entries
No vendor paid for placement and none was contacted before publication. The nineteen providers below are the ones that recur across the search results for this term and that we could verify are independently purchasable in September 2026. They are grouped by the signal they genuinely own rather than by a ranking that would pretend a website pixel and a publisher co-op are substitutes.
The signal order is the argument. We ranked the eight families on two axes and nothing else: how much the signal proves about a specific buyer, and how directly a team can act on it without further enrichment. Price, vendor size and market share are deliberately excluded from that ranking, because the most expensive signal in this category is frequently the least specific one.
| Factor | What we looked at | Why it decides the ranking |
|---|---|---|
| Specificity | Does the signal name a human, an account, or a domain | A name can be contacted today. A domain has to be researched first, which is unpriced labour. |
| Actionability | Can a rep or a campaign use it without a second data purchase | Signals that need enrichment before use are cheaper than they look and slower than they look. |
| Half-life | How long the signal stays true | A hours-old signal routed on a weekly batch is a signal you paid for and did not receive. |
| Failure mode | The specific way the signal produces false positives | Every family has one. Vendors rarely publish theirs, and it determines what your reps will complain about. |
| Provenance | Consent basis and collection method | Bidstream-derived feeds carry regulatory exposure that co-op and opt-in feeds do not. |
| Independence | Whether the vendor originates the signal or resells it | Resold feeds are legitimate. Paying twice for one because two vendors rebranded it is not. |
Every star rating on this page is printed with its sample size and the month it was accessed. A rating without a denominator is decoration. The gap between 106 reviews and 12,882 is the gap between an anecdote and a measurement, and it is the reason a 4.7 and a 4.4 on this page are not comparable in the direction you would assume. Where a figure is seller-level, meaning it aggregates every product a vendor sells under one profile, we label it, because a seller-level score for a company with six products does not describe the one you are buying.
What we could not verify. Review platforms return errors to automated access, so several providers here carry no usable rating with a sample size as of September 2026: G2 Buyer Intent, TrustRadius, Intentsify, Informa TechTarget, PredictLeads, HG Insights, SalesIntel, Coresignal and Forage AI. We print that absence rather than borrow a number from an adjacent listing. Pricing is similar. Almost nothing in this category is published, so we describe how each vendor charges and give a figure only where a named third-party source supports it.
Quick Summary
How should I read the provider entries on this page?
Read the signal card at the top of each band first, then the providers underneath it. The band tells you what that class of signal can and cannot prove, which is the part that stays true when vendors change. Inside each entry, weight the resolution row and the watch-out row above the rating, and treat any rating on fewer than a few hundred reviews as an early indication rather than a verdict.
Expert Insights
The provenance question is the one that has moved most since 2024. Regulatory attention on real-time bidding data has hardened: the UK Information Commissioner and the Belgian data protection authority have both found that collecting and using bidstream data conflicts with GDPR, and privacy researchers have argued for years that real-time bidding cannot be reconciled with consent as the regulation defines it. That does not make every keyword-intent product unusable. It does mean provenance now belongs in procurement rather than in the technical appendix.
The 19 intent data providers at a glance
Find the signal you are missing in the middle column, then read only that band. The providers are numbered in the order they appear below, and the number is a position in the taxonomy, not a quality ranking.
| # | Provider | Signal it owns | Resolution | Best for |
|---|---|---|---|---|
| 1 | Forage AI | Custom-sourced | Whatever the source supports | A signal that predicts your deals and exists in no vendor taxonomy |
| 2 | Coresignal | Custom-sourced, raw | Company and employee records | Engineering teams building their own signal layer |
| 3 | RB2B | 1. First-party visit | Person, US only | US-heavy traffic, person-level, low commitment |
| 4 | Warmly | 1. First-party visit | Person, US-strong | Mid-market teams wanting identification plus routing |
| 5 | Dealfront | 1. First-party visit | Company in GDPR regions | European traffic under a GDPR-first posture |
| 6 | G2 Buyer Intent | 2. Category evaluation | Account | Vendors with a real G2 presence and SMB to mid-market buyers |
| 7 | TrustRadius | 2. Category evaluation | Account | Enterprise-skewed categories with considered purchases |
| 8 | UserGems | 3. Relationship | Person | Large CRM, high ACV, land-and-expand and reactivation |
| 9 | Common Room | 3. Relationship and community | Person | Developer tools, open source and product-led motions |
| 10 | Bombora | 4. Topic surge | Account, domain | The reference co-op feed, bought direct and modelled yourself |
| 11 | Cognism | 4. Topic surge, packaged | Account plus contact | European teams wanting surge with reachable contacts attached |
| 12 | SalesIntel | 4. Topic surge, packaged | Account plus contact | Teams wanting intent bundled with human-verified contacts |
| 13 | ZoomInfo | 5. Keyword and bidstream | Account | Teams already on the platform who want intent in the same seat |
| 14 | 6sense | 5. Keyword, predictive | Account | Mature ABM programmes buying a buying-stage prediction |
| 15 | Demandbase | 5. Keyword and co-op | Account | Teams that need to see the evidence behind the score |
| 16 | Intentsify | 5. Keyword, multi-source | Account and buying group | Buyers who want the signal and the activation in one contract |
| 17 | Informa TechTarget | 6. Opt-in research | Person, consented | Enterprise IT vendors, and nobody else |
| 18 | PredictLeads | 7. Initiative | Account | Teams that will build their own scoring against an API |
| 19 | HG Insights | 8. Install base and renewal | Account | Competitive displacement timed to contract windows |
The 19 best B2B intent data providers, by the signal they own
Each band opens with a signal card. Read it before the vendors. The card is the part that stays true when a vendor gets acquired, changes its pricing model, or renames its product, and it is the reason two providers in the same band are genuine alternatives while two providers in different bands are not.
Band A. When the signal that predicts your deals is not in anyone’s taxonomy
Start here only after you have checked that the eight signals below do not cover you. For most teams they do, and a subscription is cheaper and faster than a build. But some businesses are predicted by something no co-op tracks: a licence appearing on a state register, a tender posted to a procurement portal, a specific clause changing in a published policy document, a vessel arriving in a port, a facility gaining an accreditation. Those signals are real intent, they are public, and no taxonomy contains them because no co-op has a commercial reason to build one.
1. Forage AI
| Attribute | Detail |
|---|---|
| Signal it owns | Custom-sourced intent. Signals extracted and maintained from public web sources that no off-the-shelf feed carries, defined against your own pipeline rather than a fixed topic list. |
| Resolution | Whatever the underlying source supports, which is usually the entity that the source is about: a facility, a filing, a licence holder, a company, a posting. |
| Best for | Teams that can name the event that precedes a deal, can point to where it is published, and cannot find it in any subscription product they have trialled. |
| Pricing | Scoped engagement rather than a per-seat subscription. Not published. |
| User reviews | No independently verified rating with a usable sample size as of September 2026. |
| Watch-out | Not for a team that needs alerts running this afternoon. From sign-off to first dataset is 1-2 weeks, and if Bombora, a review marketplace or a visitor pixel already covers your signal, buy that instead. Custom sourcing answers a coverage gap, not a preference. |
The case for a custom build is narrow and it is worth being honest about how narrow. If your buyers research your category on B2B publisher sites, a co-op already sees them. If they compare vendors on review marketplaces, G2 or TrustRadius already sees them. The build case appears when the thing that predicts your deals happens somewhere no advertising network and no publisher co-op has any reason to instrument: regulatory registers, procurement portals, industry accreditation bodies, permit filings, niche trade forums, or the customer's own site changing in a way that means a project just started.
Forage AI works as a managed service rather than a self-serve tool. The sourcing, the schema, the extraction and the ongoing maintenance are handled on the Forage side, and the output lands as a scheduled feed, an API, or a direct load into your warehouse or CRM. The part that matters operationally is the maintenance. A custom signal is not a one-off scrape; the sources change layout, add anti-bot measures and restructure their schemas, and a pipeline nobody owns degrades silently until a rep notices the alerts stopped. Forage AI handles selector drift, anti-bot evolution and schema changes as part of the service, and every delivery passes a 3x QA team before it reaches your system.
The relevant scale figures are 500M+ websites, 10M+ documents and 5M+ professionals as a starting base, with SOC 2 compliance and on-premise or private-cloud deployment available where the data cannot leave your environment. The honest watch-out is speed and fit. This is the right answer when your signal is genuinely absent from the market and the wrong answer when you have simply not finished evaluating the market.
2. Coresignal
| Attribute | Detail |
|---|---|
| Signal it owns | Raw material rather than a finished signal. Company, employee and job-posting datasets refreshed on a schedule and delivered by API or bulk file. |
| Resolution | Company and employee records. You do the entity resolution and the scoring. |
| Best for | Data and engineering teams that have decided to build their own intent layer and want a supply of refreshed records to build it on. |
| Pricing | Credit-based, on search and collect volume. Published tiers exist but enterprise volume is negotiated. |
| User reviews | No independently verified rating with a usable sample size in this category as of September 2026. |
| Watch-out | This is not an intent product and does not pretend to be. There is no scoring, no surge model and no alerting. Without an engineer who owns it, a Coresignal contract produces storage costs and nothing else. |
Coresignal belongs in this band because of what teams actually do with it. The common pattern is a data team that has looked at the co-op feeds, concluded that domain-level surge does not predict their deals, and decided to build a scoring model on hiring velocity, headcount change and role composition instead. Coresignal supplies the underlying records for that model at a refresh cadence a manual process cannot match.
The trade is explicit. You get more control and lower marginal cost per signal, and you take on the modelling, the entity resolution and the maintenance. Teams that succeed with it have a named owner and a hypothesis before they sign. Teams that buy it because it looked cheaper than 6sense generally discover that the modelling work they avoided pricing was the expensive part.
Band B. Signal 1, first-party visit intent
Signal 1 · First-party visit intent
Proves. Someone at this account is on your page, on a page you chose to instrument, right now.
Resolution. Person for United States traffic. Company only in GDPR regions, by design and by law.
Half-life. Hours. A pricing page visit routed on a weekly digest is a signal you paid for and threw away.
How it lies to you. Your competitors read your pricing page. So do candidates, analysts, your own agency, and bots. Identification rates in this category sit somewhere between 15% and 45% depending on plan and traffic mix, so most of your visitors stay invisible whatever the demo showed.
The correct play. Route it to a human in minutes, not hours, and only for pages that carry commercial meaning. Instrument pricing, comparison and integration pages. Do not alert on blog traffic.
This is the strongest signal you can buy, and it is the one most teams under-instrument before they spend on anything else. It is your own property, the consent basis is the cleanest in the category, and the person is demonstrably interested in you specifically rather than in your category. The catch is that it only fires for people who already found you, which is why it cannot be your whole programme.
3. RB2B
| Attribute | Detail |
|---|---|
| Signal it owns | 1. First-party visit intent, person-level, delivered to Slack in near real time. |
| Resolution | Person for US traffic only. International visitors resolve at company level or not at all. |
| Best for | US-heavy B2B traffic, teams that want names without an enterprise contract. |
| Pricing | Monthly, on identification credits. The January 2026 update removed contact-level data from the free tier. |
| User reviews | 4.5/5 from 283 G2 reviews, accessed September 2026. |
| Watch-out | Match rate is the whole product and reported figures vary widely, from roughly 15% to 45% depending on plan and source. US-only person resolution makes it close to useless for European traffic. |
RB2B did more than any other vendor to make person-level visitor identification a default expectation, largely by giving a usable version away and letting the Slack alert do the marketing. The product is deliberately narrow: it tells you who visited, it pushes that to Slack, and it stops there. For a team that wants the signal without a platform, the narrowness is the appeal.
Two things to price in. The first is the match rate, which is genuinely variable and where reported figures disagree, some sources putting it at 15% to 45% by plan and others at 20% to 40%. Either way the majority of your traffic will not resolve, and a demo run on a friendly test visit will not show you that. The second is that the free tier changed in January 2026, so a plan built on the old economics needs rechecking.
4. Warmly
| Attribute | Detail |
|---|---|
| Signal it owns | 1. First-party visit intent, bundled with routing, chat and orchestration. |
| Resolution | Person, US-strong. Company level elsewhere. |
| Best for | Mid-market B2B teams that want identification and the follow-up action in one place. |
| Pricing | Modular and priced on output rather than seats. The free tier was removed in 2026. |
| User reviews | 4.6/5 from 203 G2 reviews, accessed September 2026. |
| Watch-out | The modules add up. The identification price quoted in the first call is rarely the price of the configuration you end up running. |
Warmly is the answer for teams that have concluded the alert is not the hard part. Knowing that a VP of Engineering at a target account read your integrations page is worth nothing if it lands in a channel nobody owns. Warmly bundles the identification with the routing, the chat prompt and the sequence trigger, which is the work most teams underestimate when they buy a cheaper point tool.
The rating is genuinely good on a young corpus, and the complaints that do appear cluster on cost composition rather than accuracy. If you already have a routing layer you like, you are paying for it twice. If you do not, this is the cheaper path to a working motion than assembling three tools.
5. Dealfront
| Attribute | Detail |
|---|---|
| Signal it owns | 1. First-party visit intent under a GDPR-first posture, plus European company data. |
| Resolution | Company level only in GDPR regions. No person-level identification there. |
| Best for | European traffic, and teams whose legal function has already vetoed person-level identification. |
| Pricing | Modular subscription. |
| User reviews | 4.5/5 from 112 G2 reviews, accessed September 2026. The small corpus reflects the Leadfeeder and Echobot merger. |
| Watch-out | US coverage is weak relative to the US-native tools, and the review evidence is split across the pre-merger products, so historical sentiment is harder to read than the number suggests. |
Dealfront is the correct answer to a legal question, not only a data question. Person-level de-anonymisation of web visitors sits uncomfortably with GDPR, and Dealfront resolves that by not offering it in those regions. For a European company, or a US company with meaningful European traffic, that is a feature that survives a privacy review rather than a limitation.
The trade is precision. Company-level identification tells you Acme is interested and leaves the buying group to you, which is a slower motion but a defensible one. Note also that Leadfeeder no longer exists as a standalone product; several comparison pages still list it separately, and a shortlist that contains both Leadfeeder and Dealfront contains one company twice.
Band C. Signal 2, category-evaluation intent
Signal 2 · Category-evaluation intent
Proves. Someone is actively comparing products in your category, often on a page that names you and a competitor together.
Resolution. Account, occasionally person depending on the platform and the plan.
Half-life. Days. Comparison behaviour clusters tightly around a decision, then stops.
How it lies to you. Analysts, consultants, students and competitors browse review sites constantly. Some platforms also model general site traffic into the signal, which dilutes it with readers who were never buyers.
The correct play. Treat a competitor-comparison view as a late-stage alert and route it to the account owner the same day, with the competitor named in the brief.
This is the highest-conviction third-party signal in B2B, and the volume is small on purpose. Someone reading your alternatives page has a shortlist. The trade against topic surge is exact: far fewer signals, each one worth vastly more, and each one arriving late enough that you are already in a competitive deal you may not have known about.
6. G2 Buyer Intent
| Attribute | Detail |
|---|---|
| Signal it owns | 2. Category-evaluation intent from profile views, category browsing, comparison pages and alternatives pages. |
| Resolution | Account, with company name, location and the date and time of the visit. |
| Best for | Vendors with a genuine G2 presence selling into SMB and mid-market. |
| Pricing | An add-on to a G2 Brand Package, not a standalone purchase. Not published. One buyer report cites roughly $10,000 a year for Core, which we could not independently confirm. |
| User reviews | No independently verified rating with a usable sample size as of September 2026. |
| Watch-out | You cannot buy the signal without buying the presence. The audience also skews SMB and mid-market, so enterprise-only sellers see thinner volume than the traffic figures imply. |
The structural point about G2 is that the intent is a by-product of a marketing spend, not a data purchase. To get useful signal you need a profile people actually visit, which means reviews, which means a review programme. Vendors that treat Buyer Intent as a data line item and skip the presence work get a feed with very little in it and conclude the product is weak.
The competing critique, which comes largely from TrustRadius and should be read as a competitor's argument rather than a settled fact, is that G2 models blog traffic into its intent and that its review vetting is lighter, both of which would dilute the signal. What is not contested is the audience skew. G2 pulls more SMB and mid-market research than enterprise, so the match between its traffic and your ICP is the thing to test in the trial, not the mechanism.
7. TrustRadius
| Attribute | Detail |
|---|---|
| Signal it owns | 2. Category-evaluation intent from a review platform with verified reviewer identity. |
| Resolution | Account. |
| Best for | Enterprise-skewed categories where purchases are considered and buying groups are large. |
| Pricing | Vendor packages. Not published. |
| User reviews | No independently verified rating with a usable sample size as of September 2026. |
| Watch-out | Smaller traffic base than G2, so fewer signals in absolute terms. Most of the quality claims in circulation originate from TrustRadius itself. |
TrustRadius sells a narrower, denser signal. Reviewer identity is verified through LinkedIn, reviews run long at around 400 words on average, and the audience skews further toward enterprise than G2 does. For a vendor selling six-figure contracts into large organisations, a smaller number of signals from the right population beats a larger number from the wrong one.
It also reports which of your competitors an account is researching when it is not researching you, which is the most directly usable form this signal takes. Read the comparative claims carefully. The published contrasts between TrustRadius and G2 come mostly from TrustRadius vendor material, and both platforms measure their own traffic, so the only honest test is to run both against your own closed-won accounts for a quarter and see which one saw them first.
Band D. Signal 3, relationship intent
Signal 3 · Relationship intent
Proves. A person who already evaluated you, bought you, or championed you internally has moved somewhere with a new budget.
Resolution. Person. This is the only band that is person-level everywhere, because it is built on public professional profiles rather than device tracking.
Half-life. Weeks, inside a budget window of roughly a quarter. Reach them in the first month or the seat is filled by whatever the new employer already runs.
How it lies to you. A lateral move to a company that already has your category solved is not a buying signal. Neither is a stale CRM contact who never actually championed anything.
The correct play. Score the move by whether the person had influence in the original deal, not by their title. Then have the original AE reach out, not a new one.
This is the highest-converting signal most companies own and never operationalise. Roughly a fifth of CRM contacts change employer in a year, and a person who has already run your procurement process once carries the whole evaluation with them. Figures circulate suggesting job-change outreach converts at roughly twice cold outbound, which comes from the vendors selling the signal and should be treated as directional. The mechanism is sound regardless: you are not creating demand, you are re-contacting someone who already decided in your favour.
8. UserGems
| Attribute | Detail |
|---|---|
| Signal it owns | 3. Relationship intent. Job changes among your champions, customers, closed-lost contacts and prospects. |
| Resolution | Person, with the new company and role written back into the CRM. |
| Best for | Large CRM, high ACV, mature RevOps. Land-and-expand and reactivation motions specifically. |
| Pricing | Annual, scaled to the volume of contacts monitored. Not published. |
| User reviews | 4.7/5 from 146 G2 reviews, accessed September 2026. |
| Watch-out | The signal is a function of your CRM history. A young company with three years of thin contact records will get very little from it, whatever the demo account showed. |
UserGems monitors the people already in your CRM and tells you when they land somewhere new, creating the contact, routing the alert and attaching the prior relationship so the rep opens with context rather than a cold introduction. The published claim is that these leads convert at around twice the rate of cold outbound, which is UserGems' own figure and should be read as such.
The clearest wins are unglamorous: a churned champion resurfacing at a company you have never sold to, and a customer's power user turning up at an account your team already works. The dependency is the thing to test before you buy. Export the contacts you would want monitored, count how many are real champions rather than a form fill from 2022, and price the product against that number rather than the total record count.
9. Common Room
| Attribute | Detail |
|---|---|
| Signal it owns | 3. Relationship intent extended into public community activity: Slack, Discord, GitHub, Reddit, LinkedIn, YouTube and product analytics, stitched to one person. |
| Resolution | Person. Person360 unifies activity across surfaces into a single buyer view, which is unusual in a category that is mostly account-level. |
| Best for | Developer tools, open source, and product-led motions where buyers are publicly visible before they ever fill in a form. |
| Pricing | Annual, scaled by signals and seats. Not published. |
| User reviews | 4.5/5 from 106 G2 reviews, accessed September 2026. |
| Watch-out | If your buyers are not in public communities, there is no signal to aggregate. A CFO buying a treasury product is not on GitHub. |
Common Room bets that for a specific class of company, the strongest signals are public and free, and the hard part is joining them up. A developer who opened an issue on your repository, asked a question in a community Slack, and then appeared on your pricing page is three signals about one person that most stacks store as three unrelated rows. Person360 is the joining layer.
It also does conventional job-change tracking, which is why it sits in this band rather than a category of its own. The fit test is blunt. If you can name the five public places your buyers congregate, this is strong. If you cannot, the product will work exactly as advertised on a population that does not include your buyers.
Band E. Signal 4, topic-surge intent
Signal 4 · Topic-surge intent
Proves. That an account's content consumption on a topic is running above that account's own historical baseline.
Resolution. Account, frequently resolved to a domain rather than an entity, which matters for large groups with many subsidiaries.
Half-life. One to three weeks. Surge is a rolling measure, not an event.
How it lies to you. Large organisations surge on everything, because with enough employees someone is always reading something. The baseline model corrects for this imperfectly, and enterprise accounts remain over-represented in most surge lists.
The correct play. Use it to point campaigns and to prioritise an existing target list. Do not hand a raw surge list to a rep and ask for calls. It names a company, not a person or a reason.
Topic surge is the signal most people mean when they say intent data, and it is the one most often bought twice. The dominant co-op sits underneath a large number of products that present it as their own capability. Before you sign a second contract in this band, ask both vendors whose data model produces the surge score.
10. Bombora
| Attribute | Detail |
|---|---|
| Signal it owns | 4. Topic-surge intent, originated rather than resold. A data co-op of 5,000-plus B2B sites, with Bombora stating that 86% of co-op data is shared exclusively with it. |
| Resolution | Account and domain. No person. |
| Best for | Teams that want the reference feed direct, with the topic taxonomy exposed, and intend to model it themselves. |
| Pricing | Annual data subscription scaled to accounts and topics monitored. Not published. |
| User reviews | 4.4/5 from 157 G2 reviews, accessed September 2026. A small corpus for a vendor of this influence. |
| Watch-out | There is no workflow. Bombora sells a signal, not a motion. Interpretation, routing and activation are yours to build or to buy elsewhere. |
Bombora is the reference implementation of this signal and, for a large share of the market, the actual source underneath a competitor's badge. The mechanism is a consented co-op of B2B publisher sites, content classified into a taxonomy that reached 17,210 topics in its March 2025 release and grows by roughly a thousand net-new topics a quarter, and a per-account baseline that flags a Surge when consumption on a topic runs meaningfully above that account's own normal.
The baseline is the part worth understanding, because it is what separates this from raw traffic counting. An account is not flagged for reading a lot; it is flagged for reading a lot more than it usually does. The structural limitation is resolution. You get a domain and a topic, and every downstream question, which person, which business unit, which of the four subsidiaries on that domain, is unanswered and unpriced.
Buy direct if you have an analyst who will build the model and you want the taxonomy exposed. Buy it packaged if you want the surge attached to contacts you can reach, which is exactly what the next two entries sell.
11. Cognism
| Attribute | Detail |
|---|---|
| Signal it owns | 4. Topic-surge intent, packaged. Co-op surge presented alongside phone-verified contact data. |
| Resolution | Account for the surge, contact for the reachability layer attached to it. |
| Best for | European teams that need the surge and a mobile number for someone at the surging account in one place. |
| Pricing | Annual, per seat by package. Not published. |
| User reviews | 4.5/5 from 1,356 seller-level G2 reviews, accessed September 2026. Seller-level aggregates the whole product line, not the intent module. |
| Watch-out | The intent is licensed, not originated. If you already buy the co-op feed direct, you are paying for the same signal twice; what you are actually buying here is the contact layer. |
Cognism's real argument in this band is reachability, not intent. A surge tells you Acme is researching your category. It does not tell you whose mobile to call. Cognism attaches phone-verified contacts to the surging account, which converts a marketing signal into something a rep can act on without a second tool.
Its European coverage is the genuine differentiator, and it competes on verification depth rather than on database size. Price the two halves separately when you evaluate it. If your co-op contract is already signed, judge Cognism purely as a contact-data purchase, because that is the part you are not already buying.
12. SalesIntel
| Attribute | Detail |
|---|---|
| Signal it owns | 4. Topic-surge intent, packaged with human-verified contact records. |
| Resolution | Account for the intent, contact for the records attached to it. |
| Best for | Mid-market teams that want intent and verified contacts on one contract and value verification over raw volume. |
| Pricing | Reported in the region of $10,000 to $50,000 a year by third-party pricing coverage. Not published by the vendor. |
| User reviews | No independently verified rating with a usable sample size captured in this pass. |
| Watch-out | Same double-purchase risk as the rest of this band. The intent is licensed co-op data, so the differentiator you are paying for is the human verification on the contact side. |
SalesIntel's position is verification over volume. Rather than competing on the largest database, it leans on human-verified records and re-verification cadence, with intent layered on top so that the account and the reachable human arrive together. For a mid-market team without an ops function to join two vendors, that packaging is the product.
It sells data feeds rather than an orchestration platform, so activation still happens in your CRM and sequencer. Evaluate it the same way as the rest of this band: separate the intent from the contacts. The intent is broadly the same signal available elsewhere. The verification is the thing that is either worth the premium for your motion or is not.
Band F. Signal 5, keyword and bidstream intent
Signal 5 · Keyword and bidstream intent
Proves. That devices associated with an account loaded pages or ran searches matching terms you care about.
Resolution. Account, inferred from IP address. The inference is the weak link.
Half-life. Days. These feeds update fast, which is their main advantage over co-op surge.
How it lies to you. Shared office IPs, VPNs, residential traffic from an employee at home, and ad-exchange noise all land in the same bucket. Keyword matching without context produces confident false positives.
The correct play. Use it for keyword-level targeting and campaign timing, and pair it with a signal that resolves to a person before anyone picks up a phone. Ask for the provenance in writing.
Provenance belongs in your procurement checklist for this band specifically. The UK Information Commissioner and the Belgian data protection authority have both found that collecting and using bidstream data conflicts with GDPR, privacy researchers have argued real-time bidding cannot satisfy consent as the regulation defines it, and US legislators have pressed the FTC to examine bidstream privacy. Several products in this band are wholly or partly bidstream-derived. Ask each vendor, in writing, which portion of the feed comes from bidstream and what the lawful basis is for EU-resident traffic. Our guide to CCPA and external data covers the equivalent US procurement questions.
13. ZoomInfo
| Attribute | Detail |
|---|---|
| Signal it owns | 5. Keyword intent at very large scale. Streaming Intent came from the 2020 Clickagy acquisition, which brought 300,000-plus publisher domains and keyword-to-device pairings at trillions per month. |
| Resolution | Account, via IP-to-company resolution. |
| Best for | Teams already on ZoomInfo who want intent in the seat they already pay for. |
| Pricing | Annual platform contract. Intent is bundled rather than sold as a clean feed. |
| User reviews | 4.5/5 from 12,882 seller-level G2 reviews, accessed September 2026. The largest evidence base in this band. |
| Watch-out | The feed blends IP-to-company tracking, bidstream and review-platform signals, and the bidstream portion is the one with regulatory exposure. Contract terms are also the most frequently cited complaint about this vendor generally. |
The scale argument here is real and so is the provenance question, and both should be on the table. Streaming Intent updates within minutes of activity rather than on a weekly co-op cycle, which genuinely matters when the signal decays in days. The speed comes from the ad-tech lineage that also creates the compliance question.
For an existing ZoomInfo customer the marginal cost of adding intent is low and the integration work is close to zero, which is a legitimate reason to choose it. For a buyer evaluating intent on its merits, the packaging is the problem. You cannot easily buy this signal without buying the platform, and comparing a bundled module against a standalone feed on price alone will mislead you in both directions.
14. 6sense
| Attribute | Detail |
|---|---|
| Signal it owns | 5. Keyword intent folded into a predicted buying stage, combined with anonymous account identification. |
| Resolution | Account, with a predicted stage attached. |
| Best for | Mature ABM organisations that will act on a stage prediction and have the orchestration to use it. |
| Pricing | Roughly $50,000 to $80,000 a year for mid-market deployments and $200,000-plus at enterprise scale, per third-party pricing coverage. |
| User reviews | 4.0/5 from 824 G2 reviews in the sales intelligence category, accessed September 2026. The lowest star rating on this page, and the complaints are structural rather than about data quality. |
| Watch-out | You are buying a prediction, and the evidence behind it is not always visible. Implementation effort and time to value are the dominant themes in the negative reviews. |
6sense sells the interpretation, not the raw signal. Rather than handing you keywords and surges, it combines account identification, intent monitoring and predictive modelling into a stage, and the pitch is that the stage is more actionable than the inputs. Reviewers consistently credit it with surfacing accounts that eventually convert while never touching a first-party channel, which is the specific thing this band is for.
The rating deserves reading carefully. A 4.0 across 824 reviews is not a data-quality verdict; the recurring complaints are about implementation load and the time it takes to reach value, which is a different and more predictable problem. The question to ask yourself is whether your team will act on a black-box stage. If your reps will demand to see why an account scored, look at the next entry instead.
15. Demandbase
| Attribute | Detail |
|---|---|
| Signal it owns | 5. Keyword intent plus licensed co-op surge, layered with proprietary signals. |
| Resolution | Account, with the contributing evidence exposed. |
| Best for | Teams that need to show their work: which keywords, which pages, which technology signals moved an account. |
| Pricing | Roughly $50,000 to $80,000 a year mid-market and $100,000 to $200,000-plus at enterprise, module-dependent, per third-party pricing coverage. |
| User reviews | 4.4/5 from 1,950 G2 reviews, accessed September 2026. The most evidence behind any score in this band other than ZoomInfo. |
| Watch-out | Module sprawl. The platform is broad and the quoted price depends heavily on which modules are in the quote, which makes vendor-to-vendor comparison difficult on purpose. |
Demandbase's useful difference from 6sense is transparency rather than accuracy. Both produce an account score. Demandbase shows the keywords, pages and technology signals that produced it, which changes what happens in the room when a rep disputes the list. A score you can interrogate gets adopted; a score you cannot gets quietly ignored.
It licenses co-op surge for its third-party layer and adds proprietary signals on top, so part of what you are buying is the same feed sold in Band E, wrapped in orchestration and evidence. That is a reasonable trade if you want one contract, and a duplicated one if you already buy the co-op direct. Coverage is also broader outside technology verticals than the tech-native alternatives, which matters if you sell into manufacturing, logistics or financial services.
16. Intentsify
| Attribute | Detail |
|---|---|
| Signal it owns | 5. Keyword intent aggregated from multiple sources, sold together with the activation to use it. |
| Resolution | Account and buying group. |
| Best for | Teams that want the signal and the media programme in one contract rather than buying data and agency separately. |
| Pricing | Roughly $30,000 to $80,000 a year for data, with a wider reported range of $12,000 to $100,000-plus once CPM and CPL activation fees are included. |
| User reviews | No independently verified rating with a usable sample size captured in this pass. Named the highest-scoring current offering in Forrester's Q1 2025 intent data providers Wave. |
| Watch-out | Data and media are priced together, which makes it hard to tell whether you are paying for a better signal or a managed campaign. Ask for the two lines separately. |
Intentsify's premise is that most intent programmes fail at activation, not at detection. It aggregates proprietary and third-party signals, then runs the display, content syndication and integrated programmes against them, which removes the handoff where most in-house programmes stall. Its Salutary Data acquisition in January 2026 added technographic depth to the signal side.
The Forrester placement is the strongest independent evidence available for any vendor in this band, and it is worth more than an unverified star rating. The commercial structure is the thing to scrutinise. Subscription for the intelligence plus CPM and CPL for the programmes means your effective cost per account moves with your media spend, so model it against your own volumes before comparing the headline figure to a flat data subscription.
Band G. Signal 6, opt-in research intent
Signal 6 · Opt-in research intent
Proves. That a named, consented individual read buy-cycle content about your category on a third-party property.
Resolution. Person, with consent. This is the only third-party signal in the category that arrives as a name rather than an inference.
Half-life. Weeks. Research behaviour on publisher properties clusters over a buying cycle rather than a day.
How it lies to you. The person is real and the consent is real. Their authority is not guaranteed, and a junior analyst downloading a buyer's guide reads identically to a decision maker.
The correct play. Treat it as a warm named lead, not an account alert. Qualify for role and buying-group position before the AE invests time.
This band exists because of a genuine structural difference, not a marketing one. Co-op and bidstream feeds infer an account from a device or an IP. Opt-in publisher intent starts with a person who created an account, agreed to terms, and read something specific. That is a different class of evidence, and the reason it is not the default is coverage: it only exists where a publisher network has built a real audience.
17. Informa TechTarget, Priority Engine
| Attribute | Detail |
|---|---|
| Signal it owns | 6. Opt-in research intent, delivered at prospect level rather than account level. |
| Resolution | Named, opted-in people. The network reports 220 media properties, 58 million-plus permissioned members and 32 million-plus opt-in active buying-group members, all vendor-published figures. |
| Best for | Enterprise technology vendors selling to IT and technology buyers. |
| Pricing | Annual subscription, tiered by coverage and seats. Not published. |
| User reviews | No independently verified rating with a usable sample size captured in this pass. |
| Watch-out | The vertical is the constraint. The audience is technology buyers. If you sell clinical software to hospital operations or equipment to manufacturers, this network does not contain your market. |
Priority Engine answers the question every other third-party feed leaves open: who exactly. Because the underlying properties are publisher sites with registered members, the platform reports the real people researching buy-cycle content, alongside the account-level view, and it has integrated first-party and third-party signals into the same product. For an outbound team, a named consented reader is a materially different starting point from a surging domain.
The trade is reach and the trade is absolute. Inside enterprise IT this is one of the strongest signals money can buy. Outside it there is nothing to buy. The other caveat is authority: a permissioned member reading a buyer's guide may be running the evaluation or may be a junior analyst assembling a summary for someone who is, and the signal does not distinguish. Qualify on role before you commit AE time.
Band H. Signal 7, initiative intent
Signal 7 · Initiative intent
Proves. That the account has just started, funded or staffed the project you sell into. Job postings, funding rounds, expansions, executive hires and product launches.
Resolution. Account, with the evidence attached: the specific role, the round, the location.
Half-life. Months. This is a planning signal, not an alert.
How it lies to you. Backfills read identically to growth. Evergreen job posts that never close read as continuous hiring. A funding round is not a mandate to buy your category.
The correct play. Use it to build and prioritise the target list, and to write an opening line with a real fact in it. Combine with a tier-one signal before forecasting anything.
The reason this signal is undervalued is that it is early and free to observe. A company posting three data engineering roles and a head of platform has decided to build something, months before anyone at that company reads a comparison page. The same posting frequently names the tools they use, which is technographic information you cannot get from their website.
18. PredictLeads
| Attribute | Detail |
|---|---|
| Signal it owns | 7. Initiative intent. Job openings scraped from company career pages and refreshed roughly every 36 hours, plus funding, launches, expansions, technographics, business connections and website changes. |
| Resolution | Account, with the underlying event and its date attached. |
| Best for | Teams that will build their own scoring against an API rather than log into a dashboard. |
| Pricing | API access priced on volume. Not published as a seat licence. |
| User reviews | No independently verified rating with a usable sample size captured in this pass. |
| Watch-out | This is infrastructure, not an application. There is no workflow, no alerting UI worth the name, and no opinion about which signals matter. Without an engineer, nothing happens. |
The 36-hour refresh on career-page postings is the load-bearing detail. Job-posting data sourced from aggregators is often stale by weeks, which turns a leading indicator into a lagging one. Sourcing directly from company career pages at that cadence is what makes hiring usable as an intent signal rather than as market research.
The second, less obvious use is technographic. Job descriptions name the tools a team runs, including internal systems that leave no trace on the public website, so postings function as a detection method for stacks that website tag scanning misses entirely. The fit test is whether you have engineering capacity. PredictLeads rewards a team that will write the scoring and returns very little to a team expecting a dashboard.
Band I. Signal 8, install-base and renewal intent
Signal 8 · Install-base and renewal intent
Proves. That the account runs a competing product, how intensively, and roughly when its contract comes up for renewal.
Resolution. Account, in the better products down to office or department level.
Half-life. Quarters. Renewal cycles are annual, so the useful window is a planning horizon rather than an alert.
How it lies to you. Detection goes stale in both directions. A tag can persist long after a tool is abandoned, and a tool bought through a reseller may never show up at all.
The correct play. Work backwards from the renewal window. Start the displacement campaign one to two quarters before it, not when the technographic first appears.
This is the only signal in the category that tells you when to start, rather than that something is happening. Knowing an account runs your competitor is a static fact. Knowing their contract has a window opening in the next two quarters is a campaign schedule.
19. HG Insights
| Attribute | Detail |
|---|---|
| Signal it owns | 8. Install-base and renewal intent. Product-level technographics with usage intensity, IT spend, and contract timing with verification dates, alongside a behavioural intent overlay. |
| Resolution | Account, with install data reported down to office and department level. |
| Best for | Competitive displacement programmes planned around renewal windows, and enterprise account planning. |
| Pricing | Roughly $24,000 to $150,000-plus a year with a median near $52,000, per Vendr contract data. API access is typically priced separately on call volume. |
| User reviews | No independently verified rating with a usable sample size captured in this pass. |
| Watch-out | Verification dates are the whole product and you should interrogate them. Ask how recently the specific accounts you care about were verified, not what the average refresh cadence is. |
HG Insights is the closest thing in this list to a procurement calendar for your competitors' customers. Product-level install data with usage intensity, spend estimates and contract timing turns a displacement motion from opportunistic into scheduled. Department-level granularity also matters more than it sounds: a tool deployed in one business unit of a large group is a very different opportunity from one deployed across the enterprise.
The pricing spread is wide, which reflects how much of the value sits in coverage depth for your particular category rather than in the platform. Run the trial against accounts whose stack you already know. That is the only test that tells you whether the detection is current for the products you displace, and it is the test that separates this band from a generic technographic list.
Quick Summary
Which intent data provider is best?
There is no single best provider, because the nineteen here are not substitutes. The question that has an answer is which signal your motion is missing. If you have traffic and no names, buy first-party visitor identification. If you are losing competitive deals you did not know were happening, buy category-evaluation intent from a review marketplace. If you have a long CRM history, instrument champion job changes before you buy anything third-party. If you need to point campaigns at a market rather than call individuals, buy topic surge, and buy it once.
Expert Insights
The most expensive mistake in this category is buying the same signal twice. A single publisher co-op supplies the third-party intent layer inside a large share of the products sold as distinct platforms, including several on this page. A team running two of those contracts is paying two vendors for one signal and reconciling the small differences between them as though the differences were information. Ask every vendor in Bands E and F one question: does your third-party intent originate with you, and if not, whose is it.
All 19 providers compared side by side
Read this table down the Signal column first. Two providers in the same signal row are genuine alternatives to each other. Two providers in different rows are not, whatever their pricing pages imply.
| Provider | Signal owned | Resolution | Half-life | Pricing model | Rating with sample size | Main watch-out |
|---|---|---|---|---|---|---|
| Forage AI | Custom-sourced | Source-dependent | Source-dependent | Scoped engagement | No verified public rating | 1-2 weeks to first dataset. Not instant. |
| Coresignal | Custom-sourced, raw | Company and employee | Refresh-dependent | Search and collect credits | No verified rating | Not an intent product. Needs engineering. |
| RB2B | 1. First-party visit | Person, US only | Hours | Monthly, identification credits | 4.5/5 (n=283) | Match rate reported 15-45%. US only. |
| Warmly | 1. First-party visit | Person, US-strong | Hours | Modular, priced on output | 4.6/5 (n=203) | Module costs accumulate. Free tier gone. |
| Dealfront | 1. First-party visit | Company in GDPR regions | Hours | Modular subscription | 4.5/5 (n=112) | No person-level in GDPR regions. Weak US coverage. |
| G2 Buyer Intent | 2. Category evaluation | Account | Days | Add-on to a Brand Package | No verified rating | Cannot buy the signal without the presence. SMB skew. |
| TrustRadius | 2. Category evaluation | Account | Days | Vendor package | No verified rating | Smaller traffic base. Fewer signals in absolute terms. |
| UserGems | 3. Relationship | Person | Weeks | Annual, by contacts monitored | 4.7/5 (n=146) | Only as good as your CRM history. |
| Common Room | 3. Relationship and community | Person | Weeks | Annual, by signals and seats | 4.5/5 (n=106) | Useless if your buyers are not in public communities. |
| Bombora | 4. Topic surge | Account and domain | 1-3 weeks | Annual data subscription | 4.4/5 (n=157) | No workflow. Interpretation is on you. |
| Cognism | 4. Topic surge, packaged | Account plus contact | 1-3 weeks | Annual, per seat by package | 4.5/5 (n=1,356, seller-level) | Intent is licensed, not originated. |
| SalesIntel | 4. Topic surge, packaged | Account plus contact | 1-3 weeks | Annual, reported $10K-$50K | No verified rating | Intent is licensed. Verification is the differentiator. |
| ZoomInfo | 5. Keyword and bidstream | Account | Days | Annual platform contract | 4.5/5 (n=12,882, seller-level) | Bidstream provenance. Bundled, not standalone. |
| 6sense | 5. Keyword, predictive | Account | Days | Annual, ~$50K-$80K mid-market | 4.0/5 (n=824) | Black-box stage. Implementation load. |
| Demandbase | 5. Keyword and co-op | Account | Days | Annual, ~$50K-$80K mid-market | 4.4/5 (n=1,950) | Module sprawl. Third-party layer is licensed. |
| Intentsify | 5. Keyword, multi-source | Account and buying group | Days | Subscription plus CPM and CPL | No verified rating; Forrester Wave leader | Data and media priced together. |
| Informa TechTarget | 6. Opt-in research | Person, consented | Weeks | Annual subscription | No verified rating | Enterprise IT only. No coverage elsewhere. |
| PredictLeads | 7. Initiative | Account | Months | API, priced on volume | No verified rating | Infrastructure, not an application. |
| HG Insights | 8. Install base and renewal | Account | Quarters | Annual, ~$24K-$150K+, median ~$52K | No verified rating | Verification recency varies by category. |
The signal you are missing is probably not the one you are about to buy
Most intent purchases are made in the wrong order. A team decides it needs intent data, shortlists the four vendors that rank for the term, and picks on price and demo quality. Every one of those four could be excellent and the purchase can still fail, because the shortlist was assembled before anyone established which signal was absent.
Four questions, in this order, produce a shortlist that is mostly one band wide.
1. What breaks first in your funnel
Match the failure to the tier, not to a vendor. If reps have targets they cannot prioritise, you have a tier-two problem and you need topic surge or keyword intent. If marketing generates interest that sales never reaches in time, you have a tier-one problem and you need visitor identification or category-evaluation intent. If your named accounts are right but the timing is always wrong, you have a tier-three problem and you need initiative or renewal signals. Buying the wrong tier is how a working product produces no pipeline. Our diagnostic on data provider warning signs covers the adjacent question of when the data itself is the constraint.
2. Do you need a name or is an account enough
This single question eliminates most of the list. If your motion requires a human to call, only Bands B, C at the person-level plans, D and G will serve you, and in GDPR regions Band B narrows to company-level. If your motion is campaign targeting, account resolution is sufficient and the person-level premium is money spent on precision you will not use. Teams routinely buy person-level products and then use them in aggregate, which is the most expensive way to build a target list.
3. How fast can you actually act
Do not buy a signal with a shorter half-life than your routing. A pricing page visit is worth something for hours. If your process is a weekly list reviewed on Monday, you cannot receive that value, and a topic surge with a one-to-three-week half-life would suit your operating cadence better and cost less. Fixing the routing first is usually cheaper than buying a faster signal you will then batch.
4. Are you about to buy the same feed twice
Ask every vendor in Bands E and F whose data model produces their third-party intent. A single publisher co-op sits underneath a large share of the products in those two bands. Two contracts against the same upstream feed give you one signal, two invoices, and a reconciliation exercise that looks like analysis and is not. The same discipline applies to the free signals you already own: your own website, your churned champions and your competitor comparison pages produce better evidence than most third-party feeds, and instrumenting them costs less than a mid-tier contract.
Quick Summary
How do I choose an intent data provider?
Work backwards from the failure rather than forwards from the vendor list. Name what breaks in your funnel, decide whether you need a named person or an account is enough, check that your routing can act inside the signal's half-life, and confirm you are not buying a feed you already license through another vendor. Those four answers usually leave a shortlist inside a single band, and comparing two products in the same band is a fair comparison in a way that comparing across bands never is.
Expert Insights
Pilot against history, not against a demo. The only trial that settles an intent purchase is a backward-looking one: take your last two quarters of closed-won deals and ask the vendor to show which of those accounts their signal flagged, when, and how far ahead of the opportunity being created. Vendors who can do this will. Vendors who redirect to a forward-looking pilot are asking you to fund the evaluation, and a forward pilot short enough to be affordable is usually too short to be conclusive.
Three questions to put to any intent vendor in writing
These belong in the evaluation document, not in the demo. All three have answers that vendors will give verbally and hedge in writing, which is exactly why the written version is the useful one. Our B2B data provider selection guide covers the wider procurement frame; these three are specific to intent.
| Question | What you are actually testing | What a weak answer looks like |
|---|---|---|
| What portion of this feed is bidstream-derived, and what is the lawful basis for EU-resident traffic? | Regulatory exposure you inherit as the data controller using the signal. Two European regulators have found bidstream use conflicts with GDPR, so this is a live question rather than a theoretical one. | "All our data is fully compliant." Ask for the proportion and the basis, separately, in the contract. |
| Does the signal resolve to a person or an account, and in which regions specifically? | Whether the motion you are planning is legal and possible in your actual markets. Person-level resolution of anonymous traffic is largely a United States capability. | A demo on US traffic when your pipeline is European. Ask for the region breakdown before the pilot. |
| Does your third-party intent originate with you, and if not, whose is it? | Whether you are about to license the same upstream feed through two vendors and pay twice for one signal. | A description of the modelling rather than a named source. The modelling can be proprietary and the data still bought in. |
Add one commercial question to those three. Ask what happens to your access to historical signal if you do not renew. Intent contracts frequently leave you with no retained record of what was flagged and when, which means the attribution analysis you would use to justify renewal is only possible while you are still paying. Negotiate an export at signature, not at renewal.
Quick Summary
Is bidstream intent data legal?
It is contested rather than settled. The UK Information Commissioner and the Belgian data protection authority have both found that collecting and using bidstream data conflicts with GDPR, privacy researchers have argued real-time bidding cannot satisfy consent as the regulation defines it, and US legislators have asked the FTC to examine bidstream privacy practices. Several widely-sold keyword intent products are wholly or partly bidstream-derived. The practical position for a buyer is to establish the proportion and the lawful basis in writing before signing, and to treat it as a procurement requirement rather than a legal curiosity.
Frequently asked questions
How accurate is B2B intent data?
Accuracy is the wrong measure, because the eight signal families fail in different ways and a single accuracy figure hides that. First-party visit identification has a knowable match rate, reported between roughly 15% and 45% depending on the vendor, plan and traffic mix, and the visitors it misses are simply absent rather than wrong. Topic surge is not inaccurate so much as imprecise: the account is genuinely reading more than usual, and the question of whether that reading came from a buyer, a researcher or an intern is unanswerable at domain resolution. Keyword and bidstream intent carries the highest false-positive rate, because shared IP addresses, VPNs and residential connections all resolve to plausible-looking accounts. Ask each vendor for its dominant failure mode rather than an accuracy percentage.
How long is an intent signal good for?
It varies by roughly three orders of magnitude across the eight families, which is why matching the signal to your routing speed matters. First-party page visits are worth acting on within hours. Category-evaluation signals from review marketplaces stay useful for days, because comparison behaviour clusters around a decision. Topic surge is a rolling measure over one to three weeks. Job-change signals sit inside a budget window of roughly a quarter. Initiative signals such as hiring and funding stay relevant for months, and install-base renewal timing is a planning horizon of quarters. Precise decay percentages circulate widely but trace back to vendor blogs rather than to published research, so treat the ordering as reliable and the specific numbers as marketing.
Do I need more than one intent data provider?
Most teams need two and buy four. A realistic mature stack is one tier-one signal that produces named humans, usually first-party visitor identification or champion job-change tracking, and one tier-two signal that tells marketing where to point, usually topic surge or keyword intent. Adding a third is justified when it covers a genuinely different family, for example install-base renewal timing for a displacement motion. Adding a fourth is usually a duplicate purchase of a signal already licensed inside one of the first three, which is the specific waste this article is organised to prevent.
Does intent data work for small and mid-sized companies?
The tier-one signals do and the tier-two signals mostly do not, at least not at the price they are sold for. Visitor identification, review-marketplace intent and job-change tracking all produce a small number of specific, actionable signals that a small team can genuinely work, and they start in the low tens of thousands or less. Topic surge and predictive account scoring are built for organisations with enough target accounts that prioritisation is the constraint, and a team working two hundred accounts does not have a prioritisation problem that costs $60,000 a year to solve. Instrument your own website first; it is the cheapest strong signal available and almost no small team has exhausted it.
What is the difference between intent data and firmographic data?
Firmographic data describes what an account is and changes slowly: industry, employee count, revenue band, locations, corporate structure. Intent data describes what an account is doing and expires, sometimes within hours. They are bought differently for that reason. Firmographics can be licensed once and refreshed on a schedule, and the main quality questions are coverage and freshness. Intent has to be routed and acted on inside its half-life, and the main quality questions are resolution and provenance. Vendors that sell both will let you conflate them, so evaluate the two lines separately even when they arrive on one invoice.
Can I build intent signals myself instead of buying them?
Partly, and the part you can build is larger than most teams assume. First-party visit signals, champion job changes tracked from public profiles, hiring signals from career pages, funding events and technographic detection from job descriptions are all observable from public sources with an engineering team and a maintenance budget. What you cannot build is a publisher co-op or an opt-in member network, because those depend on commercial relationships with thousands of properties rather than on technology. The honest split is that the build case is strong when your predictive signal is niche and public, and weak when it is the same category-level research behaviour a co-op already aggregates at a fraction of what your engineering time costs.