10 Best Intent Data Providers for 2026

Full disclosure: Clay is our product, and we put it first. It holds a 4.6/5 G2 rating, and turning scattered intent signals into a prioritized account list is one of the most common things teams build on Clay. Here's what it does well and where it doesn't fit.

Clay is honest about what it is. It is not a third-party intent panel like Bombora, and it does not run its own publisher co-op. What it does is sit one layer up: Signals watch for the events that say an account is in-market, funding rounds, hiring spikes, leadership job changes, and first- and third-party web and product activity, and Clay pulls those together. You can connect a partner intent feed too, so a Bombora surge or a review-site signal lands next to your own first-party data instead of in a separate tab. From there Clay scores each account with a formula you control, enriches the ones that matter with verified contacts from a waterfall across 200+ providers, and writes the ranked list back to Salesforce or HubSpot. It re-runs as accounts change, so the intent stays current rather than freezing at import.

ZoomInfo folds intent into its data platform rather than selling it as a standalone feed. Its company-level intent draws on a large web co-op, and WebSights adds a first-party layer by identifying the companies visiting your site. For a team already buying ZoomInfo for contacts, turning on intent means in-market signals show up next to the records reps already use, with Workflows firing alerts when an account's intent spikes.

The trade-off is that intent is a paid layer, not the core product. Pricing is premium and quote-based on annual contracts, the intent sits on top of your core seats, and coverage is strongest in North America and thins out across parts of EMEA.

Demandbase treats intent as one input into account intelligence. It blends its own third-party intent with first-party engagement and web activity, then rolls the result into an account score and a buying stage, so an enterprise team sees which accounts are heating up and why. Because the intent lives inside a full account-based platform, the signal is already tied to advertising, personalization, and CRM sync rather than sitting in a spreadsheet.

That packaging is also the limit if you only want raw intent. Demandbase is quote-based at the enterprise end, onboarding fees and per-seat costs stack on the platform license, and the score is a model you calibrate before you trust it.

Cognism licenses its intent rather than generating it, running Bombora's Company Surge topics alongside its own contact database. The draw for European revenue teams is the pairing: you see which accounts are researching your category, and Cognism's deep UK and EMEA coverage gives you compliant, phone-verified ways to reach the buyer once the signal fires. Records enrich into Salesforce automatically, and the GDPR posture is a genuine differentiator for compliance-sensitive markets.

The intent itself is a licensed layer, not a native model, so it carries Bombora's company-level, weekly cadence. Cognism is also premium and quote-based, and its coverage is strongest in the UK, EMEA, and DACH and thinner than the US incumbents stateside.

G2 Buyer Intent is the closest thing to bottom-funnel intent on this list. Instead of inferring interest from content across the web, it shows which companies are researching your profile, your category, and your competitors on G2, Capterra, Software Advice, and GetApp. Someone on a review site comparing alternatives is usually far down the buying journey, so the signal skews high-intent. You can push those accounts into Salesforce, HubSpot, or Marketo to trigger outreach, ABM campaigns, or churn plays when a customer starts eyeing a competitor.

The catch is scope. The signal only covers research that happens on G2's network of review sites, so it misses intent elsewhere on the web, and it is sold as an add-on to a G2 brand package rather than a standalone feed. It is also company-level, telling you an account is comparing you but not which person.

6sense sells a model, not a feed. It combines anonymous web activity, third-party intent, and its own AI to predict which accounts are in-market and what buying stage they're in, then hands teams a prioritized, scored list. For a team whose real question is not "who is researching" but "who is closest to buying," the buying-stage prediction is the differentiator: it tries to answer when, not just whether.

The depth comes with complexity. 6sense is quote-based at the enterprise end, the platform has a steep learning curve that RevOps teams spend weeks on, and because the output is a prediction, it needs calibration against your own closed-won accounts before reps trust it.

DemandScience (formerly PureB2B) pairs third-party topic intent with a demand-generation engine. Its identity graph links 26M+ companies and 247M+ contacts, and it tracks research across public sources like review sites, job boards, and social to flag accounts showing interest in a topic. What sets it apart from a pure feed is activation: the same intent drives curated audiences, ABM display, and cost-per-lead content syndication delivered to your CRM, so the signal becomes leads rather than just a list.

That performance-marketing packaging is also the trade-off. Reviews note lead-quality variance and slow ramp, pricing is quote-based with annual commitments, and the intent is company-level and topic-based, so it tells you an account is interested but not who or exactly when.

Warmly is a first-party intent provider. Rather than buying signals from a co-op, it de-anonymizes the companies (and often the people) already visiting your website, then layers third-party intent on top to show whether that visit is part of a wider research pattern. For a team whose warmest signal is its own traffic, it converts anonymous sessions into a prioritized list in real time and can fire automated outreach or chat when a target account appears.

The model has limits. Match rates depend on your traffic volume and region, the free plan is capped for testing rather than production, and usage-based AI features can push costs above the headline price on busy sites.

Bombora is the canonical third-party intent provider, the feed that shows up inside so many other tools on this list. Its Company Surge data comes from a co-op of thousands of B2B publishers that share anonymized reader behavior, so you can see which companies are consuming content on your topics above their normal baseline. Because the co-op is consent-based, the data is GDPR- and CCPA-compliant by design, and it plugs into most major ABM, CRM, and sales platforms. When Cognism or Common Room mentions "intent," Bombora is often the source.

Bombora is a data source, not a platform you work inside. Its signal is company-level, so you know an account is surging but not which person, refresh runs weekly rather than in real time, and pricing is quote-based at the enterprise end.

Common Room approaches intent as an aggregation problem. Instead of selling one source, it pulls signals from more than 50 channels, first-party website visits, product usage, community and social activity, CRM data, and licensed Bombora Company Surge topics, and unifies them into a single view of who is engaging. Its Person360 identity resolution ties fragmented activity to real people and accounts, and RoomieAI surfaces the moments worth acting on. For a team drowning in disconnected signals, the value is one screen instead of six.

The trade-offs are cost and scope. There's no free plan, entry pricing starts at $2,500/mo billed annually, third-party topic intent is a licensed layer (Bombora, capped by tier) rather than native, and reviewers note a learning curve before the platform earns its keep.