The intent data industry wants you to believe that buying signals are everywhere — that every company that reads an article about your category is a hot lead. This is mostly marketing. Most intent signals are too weak, too lagging, or too noisy to reliably drive outbound results.

But some signals are genuinely predictive. After building outbound systems for B2B revenue teams across categories, we've found four that consistently show up in the pipeline that actually closes. Here's what they are, why they work, and how to automate them.

Signal 1: Hiring for roles adjacent to what you sell

Job postings are one of the most reliable buying signals available — and they're completely free. When a company posts a job that's adjacent to your solution, they're telling you several things at once: they have budget, they have a problem they're trying to solve, and they're actively thinking about the space you're in.

The key word is adjacent. If you sell outbound software, you're not looking for companies hiring SDRs (too broad). You're looking for companies hiring a "Head of Sales Development" or "VP of Revenue Operations" — someone who will own the decision to change or build the outbound stack.

How to automate it: Clay can pull job postings from LinkedIn directly. Build a table that ingests your target account list, filters for companies with relevant open roles, and routes matches to a prioritized outreach sequence. Set it to refresh weekly so new postings surface in near-real time.

The message write when this signal fires shouldn't reference the job posting directly (that reads as creepy). Instead, use it to infer context: "Noticed you're building out your revenue team — usually when we see that, [specific pain point] becomes a priority."

Signal 2: New leadership hires in the buying role

New executives change things. A new VP of Sales, CMO, or CRO spends their first 90 days auditing the stack and figuring out what to fix. They arrive with no attachment to existing vendors. They're actively looking for tools and partners to help them make their mark.

This is the highest-conversion signal we've seen — consistently. If someone new just took over a role that owns your category, they are a warm outbound prospect even if they've never heard of you.

How to automate it: LinkedIn Sales Navigator has a filter for "Changed jobs in last 90 days" at the title level. You can pull this via Clay using the LinkedIn integration and cross-reference against your ICP. Build a workflow that surfaces any account with a new relevant hire and adds them to an executive onboarding sequence.

The message here should acknowledge the transition and frame your offer in terms of what they're likely trying to prove in their first quarter: "Most [title]s we talk to in the first 90 days are trying to [specific outcome]. Here's how we've helped teams like yours get there faster."

New executives arrive with no attachment to existing vendors and a mandate to prove impact fast. That's the window.

Signal 3: Funding events (with the right filter)

Funding events are overused as a trigger. Every outbound rep in the world sends a "Congrats on the raise!" email the day a funding announcement hits Crunchbase. Most of those emails get ignored.

The signal isn't the funding itself — it's what the funding implies about what the company is about to do. A Series A company that just raised $15M is probably about to hire rapidly and invest in go-to-market. A company that just raised a Series B is probably dealing with the scaling challenges that come after finding product-market fit.

The filter that matters: Round size and recency. Focus on rounds between $5M and $50M, within the last 60 days. Smaller rounds often don't have budget yet. Larger rounds are so visible that everyone is reaching out. The sweet spot is mid-market Series A and B rounds that match your ICP.

How to automate it: Crunchbase has an API. Clay integrates with it. Build a trigger that watches for funding events matching your ICP criteria (industry, round size, geography) and surfaces them within days of announcement. The first-mover advantage here is real — reach out in week 1 vs. week 6 and you're in a different conversation.

Signal 4: Tech stack signals

What tools a company uses tells you a lot about their maturity, their pain points, and their likely buying behavior. More importantly, when a company's tech stack changes — they add a new tool, remove an old one, or show adoption of something that's adjacent to your solution — it's a reliable indicator that they're actively investing in that area.

For outbound-related GTM tools, for example: if a company just added Outreach or Salesloft to their stack, they're clearly investing in sales development infrastructure. They're a warm prospect for anything that complements or improves that motion.

How to automate it: Builtwith and similar technographic providers offer APIs that Clay can call. Build a filter that flags accounts running specific tech stacks — or that recently added or removed specific tools — and route them into targeted sequences that speak directly to the implications of those tools.

The message angle: "We've worked with a lot of teams running [tool] — most of them hit [specific pain] around [use case]. Worth a quick conversation?"

The automation architecture that ties it together

Each of these four signals can be tracked manually — checking job boards, monitoring LinkedIn, watching Crunchbase. But the reason these signals don't get used by most teams is that manual monitoring doesn't scale. By the time someone checks, the window has often closed.

The right architecture:

  • A Clay table that refreshes your target account list weekly against all four signal types
  • A scoring layer that weights and combines signals (a company with two or more active signals is much higher priority)
  • Automatic routing into the appropriate sequence based on which signal fired
  • CRM sync so sales reps see the signal context directly in HubSpot or Salesforce when they're prepping for a call

This isn't theoretical — we build this architecture for clients. It typically takes 2–3 weeks to set up from scratch and requires ongoing maintenance to keep data sources healthy and sequences relevant. But once running, it creates a consistent, signal-driven top of funnel that doesn't depend on anyone manually doing research.

What signals to ignore

For completeness: the signals we've found to be mostly noise are generic intent data (companies "researching" your category based on web activity), website visitor data without strong context, and social media activity that doesn't indicate a business change.

These signals can be additive when layered on top of stronger signals — but if they're your primary trigger, expect low conversion and high noise.

The bottom line

Signal-based outbound isn't about knowing everything about your prospect. It's about knowing the right things at the right time. These four signals — hiring, leadership changes, funding, and tech stack — give you a clear view of which companies are in an active buying window. The teams that automate signal detection and build sequences around it consistently outperform those running cold, static lists.