Intent data refers to behavioral signals that indicate a company or individual is actively researching a topic, evaluating a category of solutions, or likely to make a purchase decision in the near future. Unlike demographic or firmographic data — which describes who a prospect is (company size, industry, job title) — intent data describes what a prospect is doing: which content they are consuming, which review sites they are visiting, which topics they are searching, and which competitors they are examining. This behavioral dimension adds a time-sensitive layer to prospect prioritization that static profile data cannot provide.
The core value proposition of intent data for sales and marketing teams is prioritization. Most B2B companies have a total addressable market far larger than their sales team can actively engage at once. Intent data allows scoring accounts by how actively they are currently researching a relevant category, which allows sales teams to concentrate outreach on accounts showing active buying signals rather than distributing outreach evenly across the prospect universe regardless of timing. An account that perfectly matches the ideal customer profile but is not currently researching the category is less actionable than a slightly less ideal account that is actively comparing options and downloading competitive comparisons.
Types of Intent Data
First-Party Intent Data
First-party intent data is behavioral data generated by a company’s own digital properties — website visits, content downloads, pricing page views, feature comparison page views, demo requests that did not complete, and email click behavior. This is the highest-quality intent signal available because it directly reflects engagement with the company’s own properties, which indicates that the prospect has already found and engaged with the brand. A visitor who has been to the pricing page three times in two weeks is signaling stronger intent than one who read a single blog post; a prospect who downloaded a competitive comparison guide is indicating they are actively in an evaluation phase.
First-party intent data is available to any company that has implemented tracking on their website (Google Analytics, Clearbit Reveal, RB2B, or similar tools that identify the company visiting based on IP address or email identification). The limitation is that only prospects who have already found and engaged with the brand appear in first-party intent data — it cannot identify prospects who are actively researching the category but have not yet arrived at the company’s properties.
Third-Party Intent Data
Third-party intent data is aggregated from behavioral signals across a network of external sites — B2B content publishers, review sites like G2 and Capterra, industry news sites, and syndication networks. The major provider is Bombora, which aggregates anonymous content consumption signals from a cooperative of B2B content sites and surfaces intent topics and scores at the company level. When employees at a given company are consuming significantly more content about a specific topic category (marketing attribution, data security, HR software) than the baseline for their industry segment, that company receives an elevated intent score for that topic.
Third-party intent data identifies accounts that are researching the category before they arrive at any specific vendor’s properties, which allows sales and marketing teams to engage earlier in the research process. The limitation is that intent signals from third-party networks are less directly connected to a specific purchase decision than first-party signals — the content being consumed on a third-party network may be general industry research rather than active vendor evaluation.
G2 and Review Site Intent Data
G2, Capterra, and TrustRadius collect intent signals in the form of review site visits, comparison page views, and category browsing. These signals are particularly valuable because they are close to a purchase decision — a prospect who is on G2 comparing your product to competitors is in an active evaluation phase, not general research. G2 surfaces these signals to vendors through its Buyer Intent product, which identifies the companies visiting the vendor’s G2 profile, competitor profiles, and category pages. These prospects can then be targeted with advertising or prioritized for outbound sales outreach at the moment when they are most actively in the buying process.
Intent Data and Marketing Attribution
Intent data presents a specific attribution challenge: when a prospect who was showing intent data signals closes as a customer, how much credit does the intent data-driven outreach deserve versus the organic research the prospect was already doing? A prospect who was on the verge of requesting a demo through their own research, and who also received an outbound email triggered by intent data signals, might have converted with or without the outbound. Measuring the incremental contribution of intent data-based outreach requires controlled testing — comparing win rates for intent-flagged accounts who received the intent-triggered outreach versus intent-flagged accounts who did not — which is logistically difficult to implement without deliberately withholding outreach from a portion of high-intent accounts.