For years B2B targeting has relied on a spreadsheet and a few filters that included job title, company size, and industry. The goal was to reach the type of company and hope that the timing would line up. That old model is breaking down because buyers no longer move on a schedule that B2B targeting can see.
The buyer has gone quiet.
Most of a B2B purchase happens before the vendor even knows it has started. According to Gartner’s research, “Buyers spend 17% of their buying time talking to suppliers. The rest of the time is spent on reading, having conversations with peers, and using AI tools. By the time a prospect asks for a demo, the shortlist is usually already decided. Buying signals help make that hidden research while the decision is still open.” (Gartner)
What are B2B buying signals?
A B2B buying signal is any action or event that shows a company is getting ready to make a purchase. Intent data is one type of signal, but not the only one. Buying signals can also include people changing jobs, a company getting money, or filing something with the SEC. Intent data is different because it follows the actions a company takes when they are looking at products or services.
The main difference is easy to understand. Firmographic data shows you who a company is. A buying signal shows you what a company is doing now.
What types of buying signals can B2B marketers use?
B2B buying signals fall into three groups, each telling you something different about an account:
- Behavioral signals (your channels): When people come to the pricing page, they download content. Later they return to the site. Ask for demos. This process shows they are seriously looking at the product. These actions tell us they are engaged and interested.
- Intent signals (outside your properties): The topic is getting a lot of attention. People are checking out reviews on G2 or Capterra. They’re talking about it in communities. This shows that someone in an account is actively researching solutions.
- Organizational signals (company changes): When there’s an executive, more people are being added to a team, a shift in the technology stack, or multiple people from different departments getting involved, it signals that the company is ready to make a move. It shows they are seriously considering investing.
How does intent data improve B2B targeting?
Intent data shows which companies are actively looking into a solution before they fill out a form or reach out to sales. In B2B advertising this changes who sees your ads and when:
- Finds in-market accounts early: Intent data surfaces companies when they are doing research. This lets ads appear while those companies are still building a shortlist.
- Cuts wasted spend: Intent data puts budget weight on accounts that show action. Intent data does not depend on filters such as company size or industry. Intent data focuses on what companies do, not what they are.
- Improves ad content: Intent data helps ads talk about the topic, the problem, or the competitor a company is looking into of using the same generic message for everyone.
- Outshines competitors: Intent data flags accounts that compare tools on review sites. This allows you to show a message that stands out.
- Aligns marketing and sales: Intent data lets both teams see which accounts are active. This makes handing off tasks
Intent data does not predict who will buy. Intent data helps B2B advertising reach the right accounts at the right moment.
What is the difference between intent data and demographic targeting?
The gap between targeting and B2B intent data is the gap between who an account is and what an account is doing right now.
Demographic and firmographic data gives you a fixed profile, a 5,000-employee fintech, with a VP of Infrastructure as the contact. It can’t tell you whether that VP spent yesterday diagnosing a compliance failure or is happy with their current vendor for three more years. Target purely off those lists, and most of your impressions land on accounts that aren’t buying.
B2B intent data adds timing. Intent data matches an account that is identified by live research activity and isolates the share of the market that is actively looking at this quarter. Demographic data tells you who to talk to. Intent data tells you who to prioritize today.
How can marketers identify an account that is ready to buy?
Buying signals, in B2B, don’t usually mean much by themselves. The real test comes when several of them appear together. Begin with fit. The account needs to match your customer profile. Check firmographics and technology stack. After that look for rising intent. Rising intent means you need to do research on your category or competitors, whether you do it on your own website or on other publisher networks. Activities from stakeholders in different functions, such as IT, finance, and procurement, show that a buying group is forming. A trigger, such as funding, a hiring spree, or a fresh executive hire, adds urgency to this buying group effort. Finally pay attention to the speed. An account that moves fast, from educational content to pricing and comparison pages is accelerating. No one single sign proves a purchase. When they all come together, they show which accounts should be focused on first.
Which signals indicate that a B2B company is actively researching a purchase?
Buyer intent appears as a pattern of activity in places. Third‑party signals can show spikes in topic research on platforms such as Bombora or visits to competitor comparison pages on G2. First‑party signals come from members of a buying committee who keep returning to your pricing or demo pages. Ad engagement also matters, for example, when people keep interacting with bottom‑funnel paid media. Platforms mix all of these pieces into a buyer intent score that is based on how recent and how often the signals appear. That score helps marketers start custom campaigns while buyer intent is still high. Because the system depends on account‑level matching that’s not always perfect the buyer intent score is only a guide, for prioritizing accounts, not a guarantee of a purchase.
How can advertisers use intent data without relying on third-party cookies?
The cookie story ended in a way that most people did not expect. In October 2025, Google retired the Privacy Sandbox. Decided to keep third‑party cookies in Chrome. This action ended a decade of planning for a “cookiepocalypse” with a reversal not with a removal. A publication such as this one should be careful not to overstate the shift in cookies in either direction.
The main point stayed the same. First-party data is more accurate and more reliable than third-party identifiers. It doesn’t rely on a browser policy that has already changed once. Importantly, most B2B intent doesn’t use cookies at all. It uses account-level signals, consented publisher co-ops, CRM and website behavior, and registered-user activity. A company that keeps its signals clean, such as site visits, content engagement, product usage, event attendance, and sales conversations, can use them in advertising through hashed email matching CRM audience uploads and account-based platforms.
Satakashi Kumari is a content writer with experience in creating engaging articles, social media content, and thought leadership pieces. With a background spanning marketing, advertising, and IT, she brings a well-rounded understanding of industries, audiences, and digital communication. Her experience allows her to combine industry insights with audience-focused storytelling to create content that is both informative and engaging.
