Contact-Level Intent Data for Cybersecurity Demand Gen

Contact-level intent data is the only way to run cybersecurity demand gen without losing the account

You already know what happens when a sales sequence hits the wrong person. Wasted touches. No reply. You move on.

In the security market, the cost is worse. Contact-level intent data exists because CISOs evaluate vendors through peer networks, analyst shortlists, and trusted community channels like CyberEdBoard and ISAC forums. The purchasing process for enterprise security solutions is heavily peer-driven. McKinsey’s 2024 Global B2B Pulse found that two-thirds of buying activity in enterprise technology now takes place through digital channels, including peer reviews and community discussions. CISOs rely on trusted colleagues and professional networks, not vendor outreach, to validate their shortlists before committing to formal evaluation. When your outreach reaches a non-buyer contact at a CISO’s company first—a help desk manager, an IT admin, someone with “security” adjacent to their title but no buying authority—it creates a negative first impression before the CISO ever sees your name.

That impression travels. And in a market where 92% of B2B buyers already have at least one preferred vendor before formal evaluation begins (Forrester, 2024), you may not get a second chance.

Contact-level intent solves a specific problem in security demand gen that account-level signals cannot: it identifies which individual at the target account is actively researching, what role they hold on the buying committee, and how recently they engaged. This is how you reach the CISO (or the security architect, or the procurement lead) while the evaluation window is still open—not after it closes.

Security buyer behavioral signals look different from generic IT intent.

Most intent platforms track the same signals regardless of industry: content downloads, website visits, keyword surges. That approach produces usable data when you’re targeting IT operations buyers researching cloud migration. It falls apart when you’re targeting CISOs.

Security buyers at the CISO level generate distinct behavioral patterns. Here’s what evaluation-stage CISO intent data actually looks like in the security market:

1. Competitive comparison research. A CISO evaluating endpoint detection vendors doesn’t just download a single whitepaper. They consume comparison content across two or more vendors in the same category. This is a signal that a shortlist is forming—not that someone is casually browsing.
2. Analyst report consumption. Gartner Magic Quadrant downloads, Forrester Wave reviews, and ISAC threat intelligence reports carry more weight than generic thought leadership. When a contact at the CISO level pulls multiple analyst assets in a short window, they are building the internal case for a purchase decision.
3. Peer community engagement. CISOs operate within niche professional communities where they explore solutions collaboratively. Activity in ISAC forums, CyberEdBoard discussions, or CISO peer Slack channels signals active validation—the stage where the buyer is confirming their shortlist against peer experience.
4. RFP-adjacent content consumption. Compliance documentation (SOC 2, ISO 27001), architecture guides, and implementation case studies indicate a buyer who has moved past awareness into requirements-building. This is late-stage behavior. Missing it means missing the deal.

These signals differ from generic IT buyer intent because they represent evaluation and validation—not early-stage awareness. A contact-level intent model that tracks recency, frequency, and behavioral decay at the individual level captures these distinctions. An account-level signal that says “Company X is interested in cybersecurity” does not.

Persona signals differ across the security buying committee.

The CISO’s research behavior looks nothing like the security architect’s. And the security architect’s looks nothing like procurement’s.

Security buying committees are large by B2B standards. As Harvard Business Review has noted, the authority to make B2B purchases increasingly rests with groups of individuals, all with different roles and all with veto power. In cybersecurity, that committee typically spans IT, security architecture, risk and compliance, and procurement, with each role conducting independent research before the group converges on a shortlist.

That creates a targeting problem. Not every stakeholder generates the same signals. And if you can’t distinguish who is generating which signal, you can’t route the right message to the right person.

Here’s what persona-specific intent looks like across the security buying committee:

The CISO researches at the executive level. Analyst report consumption, competitive vendor comparisons, and peer-validation activity dominate their behavioral footprint. They are building a strategic case. Content that reaches them should speak to risk reduction, board-level reporting, and vendor trust.

The security architect digs into technical specifications. Implementation case studies, architecture comparison content, and product documentation drive their engagement. They need to know the solution works in their environment. Generic executive-level messaging gets ignored.

IT procurement consumes pricing documentation, compliance certifications, contract terms, and vendor reference requests. Their engagement signals are late-stage and transactional. Reaching them with awareness content is a waste of both your time and theirs.

Contact-level intent data lets the demand gen team see which role is generating which signal. That means the CISO gets the analyst brief. The architect gets the technical deep-dive. Procurement gets the compliance documentation. For a deeper look at how this data model works at the individual level, see how our contact-level intent model works.

The recency problem is more acute in security than any other B2B category.

Here’s a scenario you’ve probably seen: your intent platform flags an account as “high intent” for cybersecurity. You build a sequence. Sales starts outreach. Two weeks later, the CISO tells your rep they’ve already narrowed to two finalists—and your company isn’t one of them.

What happened? The intent signal was real. The timing was wrong.

Security vendor evaluation windows are narrow. Once a CISO commits to a shortlist, that shortlist calcifies quickly. A 2024 Buyers’ Journey Survey found that 41% of B2B buyers already have a single preferred vendor selected before formal evaluation begins. In security—where peer validation, analyst influence, and risk aversion drive faster shortlisting than most B2B categories—that window may be even tighter.

Account-level intent signals don’t carry timestamps at the contact level. A signal that fired three weeks ago may represent an evaluation cycle that already closed. Contact-level intent with 14-to-21-day recency windows changes the calculation.

Here’s what recency filtering looks like in practice for security market demand gen:

1. Flag contacts, not accounts. When a CISO-level contact at a target account consumes two analyst reports and a competitive comparison asset within 14 days, that’s an active evaluation signal. Route it immediately.
2. Apply decay scoring. A contact who engaged heavily 30 days ago but has gone silent likely moved forward without you. Decay scoring reduces their priority so your team focuses on live opportunities—not stale ones.
3. Match recency to role. Procurement contacts engaging with compliance documentation in the last seven days signals a deal nearing contract stage. A security architect consuming architecture guides this week signals technical evaluation. Different recency windows trigger different response playbooks.

The alternative is what most security demand gen teams experience: real intent data arriving too late to influence the outcome.

Sophos achieved a 4.5x average ROI by shifting to contact-level targeting.

Sophos, a global leader in AI-powered cybersecurity, partnered with Digitalzone to overhaul their demand generation approach. By moving from volume-based lead gen to contact-level targeting with clear MQL definitions and engagement scoring, the results changed dramatically: a 4.5x average ROI across campaigns, a 21.7x ROI on their highest-performing single campaign, and 65% of responses coming from net-new contacts.

For context: most B2B demand gen campaigns struggle to break even on ROI within the first quarter. Industry benchmarks tracked by Smart Insights and Campaign Monitor place a typical email CTOR between 6% and 17% depending on industry, with an all-industry average around 10 to 11%. The engagement rates Sophos saw came from a fundamentally different targeting model.

A 4.5x average ROI across cybersecurity campaigns isn’t a fluke. It’s what happens when three things align:

1. The contact is verified at the buyer-role level. Not “someone at the account.” Not “a contact with ‘security’ in the title.” A verified decision-maker with actual purchasing influence.
2. The sequence content matches the role’s research stage. The Sophos campaigns delivered content aligned to security buyer evaluation behavior, with analyst-grade insights, vendor comparison frameworks, and outcome-focused case studies matched to where each contact sat in the buying journey.
3. The delivery environment matches where security buyers trust content. Editorial contexts (industry publications, analyst-adjacent platforms) carry more credibility with CISOs than generic display or cold email sequences. CISOs operate in environments where they explore solutions collaboratively, not environments where they expect to be sold to.

Generic B2B demand gen for the security market—account-level targeting, broad email blasts, non-role-specific content—doesn’t produce these numbers. The gap between a typical campaign and a 4.5x ROI is the gap between treating the security market like any other vertical and designing for how CISOs actually buy.

Contact-level intent is the baseline for security market demand gen.

In most B2B segments, contact-level intent is an advantage. It improves routing precision, reduces wasted spend, and helps marketing deliver leads that sales will actually use.

In the security market, it’s the baseline requirement. Without it, you’re running demand gen that may actively damage your brand with the very buyers you’re trying to reach.

Cybersecurity spending continues to expand. PwC’s 2025 Global Digital Trust Insights found that 77% of organizations expect their cyber budget to increase, while the World Economic Forum’s Global Cybersecurity Outlook 2025 reports that 72% of organizations have seen rising cyber risks. The budget is there. But the buying committees are large, the evaluation windows are narrow, and CISOs filter vendors through peer networks where a bad first impression travels fast.

Contact-level intent solves for each of those variables. It identifies the right individual. It reads the behavioral signals that indicate real evaluation activity. It applies recency windows that match the speed of security purchasing decisions.

We built our contact-level intent model specifically for these dynamics, tracking recency, frequency, and decay at the individual level rather than the account level. And our work with cybersecurity brands like Sophos demonstrates what becomes possible when the data resolution matches the market’s complexity.

For a closer look at how cybersecurity buyers evaluate, compare, and decide, we mapped the behavioral data here.

Frequently asked questions

How does contact-level intent differ from account-level intent for security campaigns?

Account-level intent tells you a company is researching cybersecurity. Contact-level intent tells you which person at that company is researching, what role they hold, and how recently they engaged. In security, where the CISO’s research signals differ from the architect’s or procurement’s, that distinction determines whether your outreach reaches the right person or the wrong one.

Why are security vendor evaluation windows shorter than other B2B categories?

CISOs face heightened risk aversion, board-level scrutiny, and peer-network validation pressure. Once they commit to a shortlist, they move quickly. Forrester data shows 41% of B2B buyers enter evaluation with a preferred vendor already selected. In security, where peer validation and analyst influence accelerate shortlisting, the window from “active research” to “decision made” is often tighter.

What makes editorial delivery environments more effective for reaching CISOs?

CISOs research through analyst reports, peer communities, and trusted editorial publications. Outreach that appears in these environments carries credibility that cold email and display ads do not. The Sophos campaign’s 4.5x average ROI was driven in part by delivering contact-level sequences through editorial contexts that match where CISOs already consume content.

How do recency windows work in contact-level intent for security demand gen?

Recency scoring tracks how recently a contact engaged with relevant content. A 14-to-21-day window captures active evaluation behavior. Beyond that, decay scoring reduces the contact’s priority. For security purchases, where evaluation cycles are compressed, this prevents your team from chasing signals that represent deals already in progress without you.

Ready to run security demand gen that reaches the right person, at the right stage, before the evaluation window closes? Let’s talk.