Intent Data

Your Prospects Are Researching Right Now — Without You

B2B buyers are 57-70% through their purchase journey before contacting sales (CEB/Gartner). That means the majority of the buying process happens in the dark funnel — prospects reading comparison articles, watching demo videos, asking peers in Slack communities — all before they ever fill out a form. Intent data surfaces that hidden demand by tracking behavioral signals that indicate an account is actively researching a problem your product solves.

62% of B2B companies now use intent data in their go-to-market strategy (Demand Gen Report, 2024). The companies that use it well gain a timing advantage — they reach accounts during the evaluation phase, not after the buyer has already shortlisted vendors.

First-Party vs. Third-Party Intent

Not all intent data comes from the same place, and the source determines the signal quality.

Type	Source	Signal Strength	Example
First-party	Your own website, product, and content	High — direct interaction with your brand	Prospect visits your pricing page 3 times in a week
Second-party	Partner or review platforms (G2, TrustRadius)	Medium-high — category evaluation behavior	Account views your G2 comparison page
Third-party	Aggregated web activity (Bombora, 6sense)	Medium — topic-level research signals	Account consuming content about your product category

First-party intent is the strongest signal because it shows direct engagement with your brand. Third-party intent is broader but noisier — it tells you an account is researching your category, not that they are specifically interested in you. The best implementations layer all three to build a complete picture.

The Signal Quality Problem

The challenge with intent data is not volume — it is separating real buying signals from noise. An account reading three competitor comparison articles in a week is a strong signal. An account that downloaded a generic industry whitepaper is a weak one. Most intent data platforms report both the same way, and most teams treat them with equal urgency.

Build a scoring framework that weights intent signals by specificity and recency. Category-level research is worth less than vendor-specific research. Activity from last week is worth more than activity from last month. And intent from the right personas at the right accounts — informed by your ICP and account-based marketing target list — is worth more than intent from random visitors.

How to Operationalize Intent Data

Intent data that sits in a dashboard is a wasted investment. It needs to trigger action. Route high-intent accounts directly to sales with context on what the account is researching. Use intent signals to prioritize lead scoring and engagement scoring models. Trigger targeted ad campaigns to accounts showing category-level research. And use declining intent signals to flag accounts that are going cold before they disappear entirely. The value of intent data is not in the data itself — it is in the speed and precision of the response it enables.