Reachly

Key Findings

B2B intent data is not a lead generation shortcut. It is a timing mechanism. The same company that would ignore a generic cold email becomes a qualified opportunity the moment you know they are actively researching a solution like yours. The signal does not close the deal. It tells you when to show up and what to say.

There are three types of intent data and most teams only use one. First-party data from your own website is the highest-quality signal you have and it costs nothing extra to use. Second-party data from review sites like G2 shows you who is in an active buying cycle right now. Third-party data from aggregators like Bombora gives you scale at the top of the funnel. The teams generating the most pipeline use all three layered together, not one in isolation.

A single signal is a blip. A cluster of signals is a qualified opportunity. A company hiring a VP of Sales is interesting. That same company also posting about needing a new CRM, showing a surge in keyword research around sales tools, and visiting your pricing page is a red-hot lead that deserves outreach within 24 hours. The window closes fast.

Intent data only works when paired with genuine personalization. Mentioning the signal in your opening line is not personalization. It is slightly less lazy spam. Real personalization connects the signal to a specific business pain that person is feeling right now. "Noticed you just hired five new AEs" is a fact. "That usually means sales leaders are scrambling to generate enough qualified pipeline to keep them all busy" is a conversation starter.

Only 25% of B2B companies use intent data despite 96% of marketers who do reporting success. The hesitation comes down to myths about cost and complexity. The real risk is not using it at all while your competitors show up to the same conversations earlier, with more context, and win deals you never knew were in play.

What Is B2B Intent Data, Really?

Most cold outbound is shouting on a busy street. You blast thousands of emails hoping someone, anyone, is listening. Intent data flips that script. It replaces a high-volume numbers game with a strategy of precision and timing.

Stop guessing who to talk to. Start talking to companies already on their way to making a purchase.

From Guesswork to Guided Action

This is not magic. It is about paying attention to the digital breadcrumbs companies leave all over the web. These signals tell you exactly which accounts are researching solutions to problems you can solve. This is where understanding the basics of B2B lead generation becomes critical, because intent data gives you the "why now?" for your outreach.

Here is what these signals look like:

Multiple people from the same company suddenly read every G2 review in your software category.
A target account's website traffic spikes on pages about a pain point you solve.
A company posts jobs for roles that would use a product like yours.
Decision-makers at a prospect start engaging with your competitor's content on LinkedIn.

Each action tells a story. It gives your sales team a specific, relevant reason to reach out that has nothing to do with your features and everything to do with their immediate challenges. That context turns a cold email into a warm conversation.

The whole point is to shift your outreach from an interruption to a well-timed, helpful suggestion. You are showing up with the answer right when they are looking for it.

A Market Shift You Cannot Ignore

This approach has moved from a "nice-to-have" tactic to a core part of any modern sales team's playbook. The market for B2B buyer intent data tools is projected to jump from USD 4.49 billion in 2026 to USD 9.68 billion by 2030. That is a clear sign that the best teams are already all-in.

This guide will break down how to find these signals, what they mean, and how to use them to get more replies without burning out your team.

The Three Types of Intent Data You Need to Know

Not all B2B intent data is the same. Treat it all equally and you are just lighting your budget on fire.

Understanding the difference between first, second, and third-party data is non-negotiable. It is the only way to build a strategy that creates pipeline instead of just noise.

First-Party Intent Data: Your In-House Goldmine

First-party intent data is the information you collect yourself from your own digital properties. Think of every click, download, and page view on your website or in your app. It is the purest and most valuable signal you can get.

Why? It shows direct interest in your company and your solution, not just a general topic. A prospect who downloads a case study from your site is miles ahead of someone just reading a generic blog post.

These are the signals you are looking for:

Website behavior: A prospect hits your pricing page three times in one week.
Content engagement: Someone from a key account watches 80% of your on-demand webinar.
Product usage: A freemium user starts exploring your advanced, paid features.
Direct requests: The classic "book a demo" or "contact sales" form fill.

You already own this data. It is sitting in your Google Analytics, your HubSpot or Marketo, and your CRM. Your first job is to track it and connect those actions to the right accounts.

Second-Party Intent Data: Borrowed Credibility

Second-party intent data is someone else's first-party data that you get access to. This usually comes from a partner, a co-hosted event, or a B2B review site. It is your ticket to seeing what is happening outside your own walls.

This type of data uncovers intent from prospects who might not even know you exist yet, but who are actively researching your space on platforms they trust.

For example, the attendee list from a partner's webinar gives you a pre-qualified list of people interested in a specific topic. Even better, data from sites like G2 or Capterra can show you exactly which companies are comparing your product against your top three competitors. This is not a fuzzy signal. It is a clear sign they are in an active buying cycle.

Third-Party Intent Data: The Broadest Net

Third-party intent data is information gathered from millions of websites across the open web. Providers like Bombora track the content consumption of companies, flagging when an account shows a "surge" of interest in specific topics.

This is the B2B intent data that gives you massive scale. Think of it as your early-warning system. These signals catch companies researching problems long before they land on your website or hear your brand name. If a company suddenly has multiple employees reading articles about "improving sales team productivity," that is a signal. It does not mean they are ready to buy your tool, but it means they have a pain point you can probably solve.

While it is the least precise, this data is great for discovering new accounts you did not know were in-market. It fills the top of your funnel by showing you who is just starting their buying journey.

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Data Type	Source	Signal Strength	Scale	Best Use Case
First-party	Your website, CRM, and product analytics	Very high	Low	Prioritizing and personalizing outreach to warm leads
Second-party	Partner data, review sites like G2 and Capterra	High	Medium	Finding new accounts in an active buying cycle
Third-party	Data aggregators like Bombora	Medium	Very high	Top-of-funnel account discovery

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What Buying Signals Actually Tell You a Deal Is Coming

Website visits are just noise. They do not tell you who is serious. We need to talk about real B2B intent data signals, the specific breadcrumbs that show a deal is genuinely on the horizon. These are the triggers that move an account to the top of your sales team's list.

A single signal means little. It is a blip on the radar. But a pattern of signals from the same account tells a story. It is the story of a company with a problem that is getting bigger, a problem you can solve. The trick is to spot this story before your competitors do.

Engagement and Research Signals

This is the most straightforward type of intent. It tracks how a company interacts with content about your kind of solution, both on your site and across the web.

One person browsing your blog is window shopping. Three managers from the same team attending your webinar means they are trying to fix something.

Here is what this looks like:

Surge in topic research: Multiple people from one company suddenly dig into articles on a specific topic like "sales productivity software."
Webinar or event attendance: People from a target account sign up for and attend a webinar you or a partner hosts. Even stronger if several people from the same department attend.
G2 or Capterra activity: An account checks out your profile on a review site. If they compare you against a competitor, that is a bottom-of-funnel signal you cannot ignore.
High-value content downloads: They download your serious assets, case studies, ROI calculators, or pricing guides. This shows much deeper interest than just reading a blog post.

Technographic and Firmographic Signals

Technographic data is an X-ray of a company's tech stack. It shows you what software they are using, what they are getting rid of, and when contracts might be up. Firmographic signals are about big-picture changes happening inside the company itself.

Competitor contract renewal dates: You learn a key account's contract with your rival is up in three months. That is your window to start a conversation about switching.
New tech adoption: A target company just rolled out Salesforce. If you sell a product with a native Salesforce integration, now is the time to connect.
Website traffic shifts: You see a sudden spike in traffic to a specific product page on a company's website. This points to a new internal initiative you can align your pitch with.
Funding announcements: A startup just announced its Series B. They now have fresh cash and a board directive to grow fast.

A funding announcement is not just news. It is a starting gun. That company is under pressure to deploy its new cash into growth, and your solution could be what they need.

Hiring and People-Based Signals

Nothing reveals a company's strategic priorities more clearly than the jobs they are posting. A job description is a public announcement of what a company is struggling with and what they plan to fix. When you see a new role being hired, you are also seeing a new budget being approved.

Key leadership hires: A company brings on its first-ever "Head of Sales Operations." That person has a 90-day mandate to build a tech stack and fix broken processes.
Team expansion: A software company is hiring five new Account Executives. This tells you they have an urgent need to feed that growing sales team with more leads.
Department creation: A business posts jobs for a brand-new "Customer Success" department. This is a clear signal they need tools for customer onboarding, retention, and churn reduction.

Each of these signals paints a different part of the picture. Engagement shows interest, technographics uncover opportunity, and hiring trends expose urgency. Your job is to listen for all of them, connect the dots, and use that context to start a meaningful conversation.

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Reachly's signal stack in practice: For Primal, we built five separate campaigns each triggered by a different signal: companies hiring for a marketing role, companies that had just raised funding, companies with dropping organic traffic, and companies not ranking on page one. Each signal told us something different about the prospect's pain level. Those campaigns hit 8% positive reply rates within the first month and Primal broke even on campaign spend by month three.

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How to Turn Intent Data Into Booked Meetings

Having the data is one thing. Using it to book meetings is another. Most teams stumble here. They buy a subscription, get a dashboard full of "surging" accounts, and fire off the same old generic emails.

It does not work.

From Signal to Sequence: A Practical Workflow

The whole point is to connect a raw intent signal to a hyper-relevant opening line. Here is a step-by-step look at how we do this every day with tools like Clay and Smartlead.

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Step 1

Identify the signal

It starts with a trigger. This might be a list of accounts from a provider like Bombora showing a surge around a topic like "customer retention strategies." Or it could be a list of companies that just hired a new VP of Marketing.

Step 2

Enrich the account

A company name is not enough. Take that list of accounts and run it through Clay to pull in firmographic data like employee count and industry, and technographic data like what CRM they are using.

Step 3

Find the right people

Use Clay's integrations to pinpoint contacts on LinkedIn Sales Navigator with relevant titles like "Head of Customer Success" or "CMO."

Step 4

Find the personal trigger

Almost everyone skips this. Do not just email the Head of CS saying "I saw your company is looking into retention." That is lazy. Find a personal hook. Did they just post on LinkedIn about a company milestone? Did they get a promotion? Find that personal angle.

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Step 5: Craft the opening line. Combine the company-level intent signal with that personal trigger. Your opening line should instantly prove you have done your homework.

Instead of grinding out 100 cold calls for a couple of lukewarm conversations, sales teams can focus on the 15-20 prospects ready to talk. You get similar results with less effort, and team morale does not plummet.

An Example Campaign in Action

Imagine your intent signal is: companies that just hired a new VP of Sales.

This is a goldmine. A new sales leader has a 90-day mandate to make an impact, which often means shaking up their processes and tech stack.

The outreach sequence:

Day 1 (LinkedIn connection): Send a connection request to the new VP. Keep the message simple: "Congrats on the new role at [Company Name]. Big fan of what you all are building. Looking forward to following your work."
Day 1 (Email 1): Subject line: "Your first 90 days." Opening line: "Saw you recently came aboard to lead sales at [Company Name]. Usually, new leaders in this spot are focused on building predictable pipeline fast." This speaks directly to their goals, not your product.
Day 3 (LinkedIn touchpoint): Drop a thoughtful comment on one of their recent posts. Stay visible and add value.
Day 5 (Email 2): This email gives, not takes. "When we work with new sales leaders, they are often trying to fix [Problem 1] or [Problem 2]. Here is a short guide on how our top clients tackled this." You are providing a resource, not begging for a meeting.
Day 7 (Cold call): This call is now warm. "Hi [Name], I sent you a couple of emails about your new role. Just wanted to put a voice to the name. Most new VPs of Sales I speak with are trying to scale outbound without hiring ten more SDRs. Does that resonate?"

Understanding how to use platforms like LinkedIn is a must for making this work. There are great resources that explain how to use LinkedIn for B2B sales to turn signals into real conversations.

This multichannel approach is built around a single, powerful intent signal. It is personalized, relevant, and respects the buyer's context. This is what modern outbound looks like. It is not about volume. It is about precision.

Choosing Your Intent Data Vendor Without Getting Ripped Off

The B2B intent data market is a minefield. Every vendor shows you a slick demo and promises a firehose of accounts ready to buy. If you are not careful, you will get locked into a twelve-month contract for a tool that just gathers digital dust.

Making the right choice comes down to asking hard questions. The only thing that matters is the quality of the data itself.

Key Questions to Ask Before You Buy

Before you sign anything, get straight answers to these questions during your demo. If a vendor gives you a vague response, that is a huge red flag.

CategoryQuestion to verifyWhy it mattersData source and qualityWhere does your data come from?The source determines reliability. A co-op like Bombora's is often higher quality than shady bidstream data.Data freshnessHow often is your data refreshed?An intent signal from last week is already stale. You need daily updates to get ahead of competitors.Company matchingHow do you match signals to a specific company?A fuzzy IP-to-company match can make you target the wrong business.Topic granularityHow specific are your intent topics?A signal for "software" is useless. A signal for "AI contract management software" is a goldmine.IntegrationDoes your platform integrate natively with our CRM and sales tools?If the tool does not fit into your team's workflow, they will not use it.ComplianceHow do you ensure GDPR and CCPA compliance?Non-compliant data is a legal and reputational risk you cannot afford.Support and onboardingWhat does your onboarding look like?A great tool is worthless without great support to help you get the most out of it.

Major Players vs Niche Tools

Platforms like 6sense, Demandbase, and ZoomInfo are powerful, but they come with enterprise-level price tags. They make the most sense for large organizations with dedicated RevOps teams to manage them.

Newer, more accessible tools are hitting the market. Even review platforms like G2 now offer their own buyer intent data, showing you exactly who is comparing your product against your rivals right now. For many teams, this direct, bottom-of-funnel data is a more affordable and actionable starting point.

If you are exploring your options, our guide on the best B2B lead generation tools for founders is a great place to start.

The best data for you is the data you will actually use. A simpler, more affordable tool your team adopts is infinitely better than a complex platform nobody logs into.

Always Run a Pilot Program First

Never buy intent data blind. The only way to know if a vendor's signals are legit is to test them against your real accounts.

Insist on a pilot. Give the vendor a list of 100 of your target accounts and have them track signals for 30-60 days. Then compare the accounts they flag as "in-market" with the engagement you are seeing. Are these signals turning into actual conversations? If the answer is no, the data is not worth paying for.

Common Mistakes Teams Make With Intent Data

Buying an intent data subscription will not magically flood your pipeline. If you are not careful, it will become another expensive piece of software gathering dust.

Thinking the Data Does the Work for You

Too many teams fall into this trap. They get a surge alert, blast a generic email that screams "I saw you were researching X," and then act surprised when they are ignored. That is not outreach. It is sophisticated spam.

An intent signal is the start of the conversation, not the whole conversation. It is your cue to start digging, find the right person, and connect what their company is researching to a pain point that person is feeling.

Common Traps to Avoid

Acting too slowly: An intent signal has a half-life measured in hours, not weeks. The second a company shows a surge of interest, your competitors are dialing them. If you wait a week, the conversation has already started without you.

Relying on a single source: Using only third-party data is like navigating with just a compass. You know the general direction, but you have no street names. You need first-party signals to get the full picture.

Generic messaging: Mentioning the signal is not personalization. Real personalization connects the signal to a specific business pain. "Saw you are researching sales productivity" is weak. "Noticed you just hired five new AEs, that usually means sales leaders are focused on ramping them fast" is how you start a real conversation.

No sales and marketing alignment: If marketing flags every "surge" as a hot lead, but sales knows it is just top-of-funnel research, you are creating friction and wasting everyone's time. Both teams have to agree on what a high-intent account looks like and what the handover process is. Our guide on how to qualify leads in sales without the BS fixes this disconnect.

The real failure is not buying the wrong tool. It is the failure to build a process around the tool. Intent data is an ingredient, not the whole recipe. You still have to do the cooking.

Despite its proven impact, intent data adoption is still surprisingly low. Only 25% of B2B companies use it, even though 96% of marketers who do report success. The hesitation often comes down to myths about cost and complexity. The real risk is not using it at all.

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Why Reachly?

Get more meetings with the people who matter, 100% done for you.

We don't spray and pray. We use real buying signals to reach the right people at the right time, then run coordinated outreach across email, LinkedIn, and phone with messaging that earns replies.

Get Started

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FAQs

How is B2B intent data different from B2C?

B2C intent data is one person browsing for "running shoes." It is a simple, direct signal from an individual.

B2B intent data is about spotting a pattern of activity across an entire company. You are looking for signs that a buying committee is collectively researching a solution to a business challenge over weeks or months.

Can I use intent data without an expensive platform?

Yes, and you should. The best place to start is with your own first-party data, which costs nothing but focus. Tracking which companies visit your pricing page or download your case studies gives you powerful signals for free.

You can also track public signals manually. Keep an eye on hiring trends on LinkedIn, track funding announcements on sites like Crunchbase, and set up alerts for news mentions of your top target accounts.

Paid platforms simply automate this work at a scale that is impossible to manage by hand. But you do not need to spend a dime to get started.

How quickly should we act on an intent signal?

You have a 24-48 hour window. Any longer and you are showing up to a party that is already over. The value of a fresh intent signal decays fast. If a company is actively looking for a solution, your competitors are picking up on the same clues.

The company that wins is the one that shows up first with a relevant message. Speed and context are everything.

What is a good first campaign to run with intent data?

A fantastic, low-hanging-fruit campaign is targeting companies hiring for a key role your product helps. It is a specific, time-sensitive event that screams "need." If you sell marketing automation software, build a campaign targeting companies that just posted an opening for their first "Head of Demand Generation."

Your opening line writes itself: "Saw you are bringing on a new demand gen leader at [Company Name]. That person's first 90 days are usually all about building a solid tech foundation to drive pipeline." This message is timely, shows you have done your homework, and connects your solution directly to their most pressing priority.

How do I combine first-party and third-party intent data?

Start with your third-party data to identify a broad pool of accounts showing interest in topics related to your solution. Then filter that list against your first-party data to see if any of those accounts have also visited your website, engaged with your content, or appeared in your CRM.

The accounts that appear in both lists are your highest-priority targets. They are not just researching the category. They are researching you specifically. These deserve your best, most personalized outreach within 24 hours of the signal appearing.

What is the difference between an intent signal and a buying signal?

An intent signal is a behavioral indicator that a company is researching a problem. A buying signal is a concrete business event that creates urgency. Intent signals include reading multiple articles about your software category or attending a competitor's webinar. Buying signals include a funding announcement, a new executive hire, or a tech stack change.

Both matter, but buying signals are more actionable because they give you a specific, time-sensitive reason to reach out. The best outbound campaigns layer both, using intent signals to identify who is researching and buying signals to determine who is ready to act.

Thibault Garcia

Founder

I’ve spent the past 11 years working across sales and growth marketing, helping businesses build predictable pipeline. My focus is on lead automation, lead generation, LinkedIn optimisation, sales funnels, and practical growth systems. I’ve worked with 500+ businesses on improving their revenue operations, and I enjoy breaking down what consistently works in outbound, positioning, and building repeatable growth.

 
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What Is B2B Intent Data And How Do You Actually Use It