Intent Data 101: How to Identify In-Market Buyers Before Your Competition

B2B buyers are 70% through their purchase journey before they ever talk to a salesperson. If your team is waiting for an inbound form fill, you're already late. Intent data changes the game by telling you who's in-market before they raise their hand.

Intent Data 101: The Three Types

First-Party Intent: Activity on your own digital properties. Page visits, content downloads, pricing page views, webinar attendance, trial signups. You own this data, and it's the most directly actionable.

Second-Party Intent: Someone else's first-party data that you access through a partnership or data-sharing agreement. Example: a technology review site sharing which companies are reading comparison pages between your product and competitors.

Third-Party Intent: Aggregated behavioral signals from across the web — content consumption on publisher sites, search activity, social media engagement, job listing changes, technology install data. This is what most people mean when they say "intent data."

The Signals That Actually Predict Purchase

Not all intent signals are created equal. Here's what correlates with near-term purchase intent, ranked by predictive value:

1. Competitor comparison page visits — The strongest single signal. Someone actively comparing you against alternatives is deep in the evaluation phase.

2. Pricing page visits with return sessions — A single pricing visit might be curiosity. Two visits in a week means procurement is involved.

3. Multi-stakeholder research patterns — When 3+ people from the same company visit your site from different departments within a two-week window, an RFP is likely in progress.

4. Technology stack changes — When a company installs a complementary tool in your ecosystem, or uninstalls a competitor's tool, timing is right for outreach.

5. Job postings for relevant roles — A company hiring for a position that would own or use your product category is signaling budget and organizational commitment.

6. Content consumption on specific topics — Not all content is equal. A whitepaper download titled "Migrating from Competitor X" is worth 10x a generic "Industry Trends" report.

Building an Intent-Driven Workflow

For Marketing: Use intent data to trigger account-based advertising and personalized nurture sequences. When a target account shows surging intent, increase ad frequency, invite them to an executive briefing, or serve a competitor comparison case study.

For Sales: Integrate intent scores into your CRM. Sort your pipeline by intent surge in the last 7 days, not by deal size. Train SDRs to reference specific intent signals in outreach: "I noticed your team has been researching cloud migration strategies — we just published a guide on that."

For Customer Success: Monitor intent signals at existing accounts for expansion opportunities and churn risk. A customer researching your competitor's pricing page is a retention emergency.

Common Pitfalls

1. Over-rotating on intent alone. Intent signals identify who's in-market, but fit still matters. A high-intent account that doesn't match your ICP will waste your time.

2. Acting too slowly. Intent signals decay quickly. A surge in research activity means the buying committee is meeting this week. A lead routed 72 hours later may have already shortlisted competitors.

3. Treating all intent as equal. A content download from a junior analyst is not the same as a pricing page visit from a VP. Weight signals by seniority, recency, and action type.

4. Neglecting first-party intent. Before investing in third-party intent data, make sure you're capturing and acting on the intent signals already happening on your own website. Most companies aren't.

Intent data, used well, gives your team the closest thing to a crystal ball in B2B marketing. The teams that master it will consistently reach buyers before their competitors even know the conversation is happening.