B2B Intent Data: How to Identify Prospects Who Are Ready to Buy

You’re sending dozens of cold emails every day, but your reply rates barely move. The problem isn’t always your copy or your offer — it’s often the timing. In B2B sales, reaching the right prospect at the right moment changes everything.

That’s exactly what intent data does: it identifies companies that are right now actively researching a solution like yours, before they’ve ever raised their hand or filled out a form.

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What Is B2B Intent Data? Definition and Core Principles

B2B intent data refers to the digital behavioral signals that indicate a company or decision-maker is actively researching a topic, solution category, or specific product.

In practice: every time a prospect runs a Google search, reads a comparison article, visits a pricing page, downloads a whitepaper, or browses reviews on G2, they leave a digital trace. These traces, aggregated and analyzed, form intent data.

For an SDR working through 150 prospects a week, the difference between a “cold” lead and an “in-market” lead can mean a 65% gap in response rates. Intent data is precisely the information that lets you focus your energy on the 3 to 5% of your total addressable market that’s ready to buy right now.

Intent Data vs. Firmographic Data: What’s the Difference?

Firmographic data (industry, company size, revenue) tells you who is a good target. Intent data tells you when that target is actively searching. Both are complementary: firmographics qualify relevance, intent data qualifies timing.

Now that the concept is clear, let’s look at how these signals are collected and classified.

The 3 Types of B2B Intent Data You Need to Know

1. First-Party Intent Data: Your Own Signals

This is behavioral data collected directly from your own channels — your website, emails, webinars, and product.

Examples of first-party signals:

• A company visits your pricing page 3 times in one week
• A prospect downloads your case study
• A lead opens 4 nurture emails in a row and clicks through

These signals are the most reliable because they relate directly to your solution. They’re also the easiest to collect via Google Analytics, HubSpot, or an anonymous visitor identification tool.

Limitation: You only see prospects who have already found you. For everyone still searching without visiting your site, you’re flying blind.

2. Second-Party Intent Data: Review Platforms

This is behavioral data collected by third-party platforms that you can purchase access to. The most relevant ones in B2B SaaS are G2, Capterra, and TrustRadius.

What it means concretely: if a company is reading competitor comparisons in your software category on G2, it’s a strong signal they’re in an evaluation phase — roughly halfway through their buying process.

Derrick’s G2 Company Insights feature lets you pull information on companies consulting reviews on G2 and integrate those insights directly into Google Sheets to enrich your prospecting lists.

3. Third-Party Intent Data: Data Co-ops

This is behavioral data aggregated by specialized platforms — Bombora, 6sense, Demandbase — from a network of thousands of partner sites (blogs, trade media, analyst sites).

How it works: These platforms track the topics companies are researching across the web (e.g., “best CRM software,” “sales automation,” “data enrichment”) and provide you with a list of companies “surging” on those subjects.

Key limitations:

• Cost is high: Bombora starts at $25,000/year, 6sense exceeds $100,000/year for enterprise plans
• Accuracy varies: a topic search signal doesn’t guarantee the company is truly in a buying phase
• Small teams (startups, SMBs) rarely have the budget for these platforms

For teams that can’t invest in third-party intent data, an effective alternative is to build your own scoring system from enriched data — we’ll cover exactly how to do that below.

Why Intent Data Transforms B2B Prospecting

The Timing Problem in Outbound

According to a 2025 6sense study, 94% of B2B buying groups have already ranked their preferred vendors before ever speaking to a sales rep. They consume an average of 13 pieces of content throughout their journey — almost entirely anonymously.

The direct consequence for your sales team: if you’re not detecting these research signals, you’re not even making the shortlist for most of your target accounts.

Intent data flips this dynamic. Instead of waiting for prospects to fill out a form, you identify companies while they’re searching and engage when your message has the highest chance of landing.

Measurable Results

Teams that integrate intent signals into their prospecting consistently see strong outcomes:

• +30% lead conversion rate for teams prioritizing based on intent (Bombora, 2025)
• -40% sales cycle length for companies reaching out during active research phases
• +65% email response rate through intent-based personalization

The explanation is simple: when a prospect receives a message that directly addresses the question they’re currently trying to answer, perceived relevance is at its peak.

The B2B Buying Signals to Track

Not all signals carry the same weight. Here’s how to rank them by increasing strength:

Weak Signals (Awareness)

• Generic searches on your solution category
• LinkedIn engagement with thematic content
• Newsletter or industry webinar signups
• Internal change signals: hiring, funding rounds, leadership changes

Medium Signals (Consideration)

• Visiting your website (blog posts, resources)
• Browsing a G2 or Capterra listing in your category
• Following your competitors on LinkedIn
• A key decision-maker changing roles at a target account

Strong Signals (Active Evaluation)

• Repeated visits to your pricing or demo page
• Reading reviews across multiple tools in your category
• Searching for “alternative to [competitor]”
• Multiple nurture email opens + link clicks

Very Strong Signals (Imminent Decision)

• Demo or trial request
• Reaching out to your sales team
• Downloading your technical documentation

The golden rule of intent data: one signal alone is not enough. It’s the combination of several aligned signals on the same account that reliably indicates buying intent.

How to Use Intent Data in Your Prospecting Workflow

Step 1: Define Your ICP and Priority Signals

Before hunting for signals, define your Ideal Customer Profile (ICP) precisely: industry, company size, tech stack, geography.

Then list the 3 to 5 signals that have the highest predictive value for your business. For a data enrichment tool, this might be:

• The company uses HubSpot or Salesforce (existing CRM stack)
• The company uses LinkedIn Sales Navigator (active prospecting)
• The company is browsing reviews for enrichment tools on G2

These signals serve as both targeting criteria and personalization hooks for your outreach.

Step 2: Enrich Your Lists with Contextual Data

To score intent, you need rich data on your prospects. This is where data enrichment becomes the central building block.

Take Mike, an SDR at a B2B SaaS startup. He exports a list of 300 companies from LinkedIn Sales Navigator. Without enrichment, he has company names and job titles. With Derrick, he can automatically enrich every row in Google Sheets with:

• Tech stack (Website Tech Lookup) → identify companies already using compatible tools or direct competitors
• G2 data (G2 Company Insights) → surface companies evaluating solutions in his category
• SimilarWeb data (SimilarWeb Insights) → understand the company’s digital behavior, traffic sources, and audience size
• Full firmographic data → industry, headcount, location, founded year

In 20 minutes, Mike has a list enriched with 15 to 20 contextual attributes per account — a solid foundation for a homegrown intent scoring model.

Step 3: Build Your Intent Score

Intent scoring assigns points to each signal to calculate an overall score per account. The higher the score, the higher the priority.

Example of a simple scoring grid:

Accounts scoring above 60 deserve immediate attention; 30–60 is an active nurture play; below 30 is standard cold outreach.

Step 4: Prioritize and Personalize Your Outreach

Once your accounts are scored, intent data becomes your best personalization tool. Here’s how Sarah, Head of Growth at a B2B agency, uses this data:

“I noticed this company runs HubSpot and has been researching alternatives to Apollo on G2 for two weeks. My opening email names that pain directly: You’re on HubSpot and looking to enrich your contact data without switching your stack? Here’s how…“

This level of personalization is only possible if you’ve enriched your data upfront. And with Derrick’s built-in AI features — AI Lead Scoring and AI Segmentation — you can automate scoring and segmentation directly inside Google Sheets, no complex setup required.

Intent Data and GDPR / Privacy Compliance

Using behavioral data for B2B prospecting is regulated under GDPR in Europe, and various state laws (CCPA in California, etc.) in the US. Here’s what you need to know:

Generally permitted:

• Using company-level behavioral data to target accounts
• Basing outreach on legitimate interest, provided contacts are professionals and the message relates to their professional activity

Requires caution:

• Collecting individual-level behavioral data without a clear legal basis
• Using third-party intent data from providers without verifying their compliance posture
• Failing to honor opt-out requests

The ICO (UK) and most EU data protection authorities confirm that B2B cold email to professional addresses is permitted under legitimate interest, provided the message is professionally relevant and includes an unsubscribe option. Always verify that your data providers are GDPR-compliant.

For a deeper look at the legal framework, read our article on cold email and GDPR.

B2B Intent Data Tools: From Enterprise to SMB

Enterprise Tools (Third-Party Intent Data)

• Bombora: The market leader for third-party intent. Network of 5,000+ partner sites, 17 billion interactions tracked monthly. Pricing: $25,000–$100,000+/year. Best for enterprise teams with significant marketing budgets.
• 6sense: Full ABM platform with buying stage prediction. Pricing: from $100,000/year. Gartner Magic Quadrant Leader for five consecutive years.
• Demandbase: Similar to 6sense at enterprise scale, strong on multi-channel orchestration.

Mid-Market Tools

• Apollo.io: Combines contact database + intent signals (Bombora-integrated). From $49/user/month.
• Cognism: Strong GDPR compliance for European markets, integrates Bombora signals. Custom pricing.
• Dealfront (formerly Leadfeeder): Identifies anonymous website visitors via IP matching. Free tier available.

For SMBs and Startups: Building Your Own Intent Scoring

If you don’t have the budget for enterprise platforms, the most effective approach combines:

1. Enriched data (firmographic + technographic + G2 insights) via a tool like Derrick in Google Sheets
2. First-party data from your website (Google Analytics + visitor deanonymization)
3. LinkedIn signals: hiring activity, role changes, content engagement from target accounts
4. Manual or AI-based scoring to rank accounts by priority

This approach delivers 80% of the value of intent data at a fraction of the enterprise cost.

To enrich your base data and capture technographic and behavioral signals, Derrick’s data enrichment workflows run natively inside Google Sheets and let you pull tech stack data, G2 insights, and SimilarWeb metrics for your prospects in a few clicks — no developer needed.

Key Takeaways

• B2B intent data captures the behavioral signals that show a prospect is in an active research phase — the optimal moment to reach out.
• There are 3 types: first-party (your site), second-party (G2, Capterra) and third-party (Bombora, 6sense).
• A single signal is never enough — it’s the convergence of multiple signals on the same account that indicates real buying intent.
• Enterprise platforms cost $25,000–$100,000+/year — SMBs can build an effective homegrown scoring model with enriched data.
• Data enrichment (tech stack, G2 insights, SimilarWeb) is the foundational layer for intent scoring without an enterprise budget.
• Privacy compliance matters: verify your legal basis and your data providers’ GDPR/CCPA posture before prospecting at scale.

Conclusion: Where to Start with Intent Data

Intent data isn’t reserved for large companies with six-figure marketing budgets. Even a team of 3 SDRs can build a buying signal detection system by combining enriched data and simple scoring.

The starting point: enrich your existing lists with contextual attributes (tech stack, G2 behavior, web traffic data) to identify the accounts that look most like your best customers and show signs of recent activity. That’s the foundation of any actionable intent data strategy.

For the content and activation strategy that goes alongside it, check out our article on intent marketing.

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FAQ

What is intent data in B2B marketing? B2B intent data refers to digital behavioral signals indicating that a company or decision-maker is actively researching a solution. These signals include web searches, site visits, G2 review browsing, and content downloads.

What’s the difference between first-party and third-party intent data? First-party intent data comes from your own channels (website, emails) — it’s free but limited to prospects who already know you. Third-party intent data comes from partner site networks like Bombora, covering the full market but at a steep cost (from $25,000/year).

How can I use intent data without an enterprise budget? Enrich your lists with technographic data (what tools does the prospect use?), G2 insights (are they evaluating solutions in your category?), and SimilarWeb data. Combine these with a simple scoring model to prioritize your warmest accounts.

Is intent data GDPR and CCPA compliant? Company-level intent data is generally usable under legitimate interest for B2B prospecting. Always verify your data providers’ compliance posture and ensure your outreach respects the professional relevance requirement and opt-out rights.

What intent data tools work for SMBs and startups? Accessible options include Dealfront (anonymous website visitor identification), Apollo.io (from $49/month with built-in intent), and a homegrown scoring model built on enriched data. For Google Sheets-based teams, Derrick pulls tech stack, G2, and SimilarWeb data for your prospects directly into your spreadsheets.