Every week, your ICP quietly announces they're ready to buy.

They just don't know they're doing it.

If you're selling to founders, for example, it looks like this: liking three posts from a competitor in the same week. Commenting on a "DM me for the playbook" post about GTM systems. Showing up in the engagement on every GTM thought leader they follow.

They're not engaging. They're shopping. They just haven't told anyone yet.

This is the gap most outbound misses entirely. By the time a buyer fills out a form or replies to a cold email, they've been in research mode for weeks. The signals were there the whole time — in their likes, their comments, which lead magnets they raised their hand for. Observable. Almost none of it watched.

Most outbound GTM operates blind. You build a list on firmographic criteria — company size, industry, job title — and send sequences to people who fit the profile. Some convert. Most don't. You assume the ones who didn't weren't ready.

You're right. But "not ready" isn't binary. It's a spectrum. Somewhere on that spectrum, right now, are the people who are about to become ready — and they're leaving a trail.

This post breaks down how to build a system that reads that trail. Not because it's clever technology. Because it changes who your first message reaches — and when.

Before someone raises their hand, they do three things almost universally.

They study competitors. If a founder is quietly evaluating whether to fix their GTM motion, they start by watching what companies like theirs are doing. They like posts from GTM agencies. They comment on case studies from competitors in your space. They're comparison shopping without a cart.

They engage with the category. They follow the thought leaders in your space. They comment on posts about the problem they have. For founders evaluating a GTM investment, that looks like engaging with content about founder-led sales, first sales hires, pipeline systems. Category interest comes before vendor interest.

They respond to lead magnets. The "comment PLAYBOOK and I'll send it" posts on LinkedIn work for one reason: they surface people actively looking for solutions. A founder who comments on a lead magnet about building an outbound system isn't just curious. They're researching.

None of these behaviors look like buying intent on their own. Together, with recency and frequency, they paint a clear picture.

A founder who liked two competitor posts, commented on a GTM playbook offer, and engaged with an outbound thought leader — all inside two weeks — is not passively scrolling. They're actively in market.

Manually tracking this is impossible at any meaningful scale. You need three things.

A monitoring layer. Tools like Trigify let you set up keyword and competitor-based LinkedIn monitors. You define which competitor accounts, which topic keywords, and which engagement patterns to track. When someone in your ICP interacts with those posts, you get notified. The data flows into a central store — in our case, Supabase — so every signal event is logged with a timestamp, the person's LinkedIn profile, their title, and what they engaged with.

A deduplication layer. Raw signal data is noisy. In our system, 66% of incoming events were duplicates — the same person engaging multiple times with the same content. Without deduplication, you mistake volume for intent. The dedup layer collapses all events for the same person into a single record, updating their score with each new signal rather than counting the same engagement twice.

A scoring model. Not all signals are equal. A like is worth 1 point. A comment is worth 2 — it takes more intent to write something than to tap a button. A keyword post, where someone writes publicly about their own pain, is worth 3. Competitor engagement gets a +1 bonus per event. If someone engages across three or more distinct sources in the same window, they get a +2 variety bonus — breadth of engagement is a stronger signal than depth on a single source. Recency matters too: signals from the last 7 days get a 1.5x multiplier. Fresh signals beat old volume.

The output is a 0–10 intent score for every person in your pipeline.

The score determines what happens next — and critically, how fast.

Score ≥ 4: Email outreach via Clay. These people have shown enough signal to justify enrichment. Their LinkedIn profile goes to Clay, which finds a work email, confirms company size and geography, and verifies ICP fit. If they pass, they enter an email sequence. The first message references what they've been engaging with, not a generic pitch.

Score ≥ 8: LinkedIn outreach, same day. High-intent signals get a personal message within 24 hours. At this score, the person has been consistently active — multiple signal types, recent engagement, breadth across sources. They're not window shopping. A specific, manual message outperforms any automated sequence here.

The routing removes the guesswork. You're not deciding who to follow up with or when. The score decides, based on observable behavior.

One thing the routing also handles: you stop enriching people who aren't ready. Clay credits aren't free. Sending everyone through enrichment burns budget on people who liked one post four weeks ago and moved on. The intent threshold keeps the queue lean and the cost low.

The signal type shapes the first message. This is where most outbound falls apart even with good data — they collect the intelligence and send a generic pitch anyway.

The principle: mirror the behavior, not your offer.

If someone commented on a competitor's post about outbound systems:

"Noticed you engaged with [name]'s post on outbound last week. We've been tracking the same pattern with a few founder-led B2Bs in [vertical]. Happy to share what we've seen if it's useful."

If someone responded to a lead magnet about first sales hires:

"You raised your hand for [playbook] recently. We work specifically with founders at the 'first hire' stage. Happy to send what we've built internally if the timing's right."

If someone has been consistently engaging with GTM thought leaders across two weeks:

"You've been pretty deep in the GTM content lately. Usually means something's shifted. What are you working through?"

None of these lead with a pitch. All of them demonstrate you were paying attention. That's the difference between outreach that feels lucky and outreach that feels earned.

The response rate difference is meaningful. Not because the copy is better — it's intentionally plain. Because the timing is right and the relevance is undeniable. They know you didn't pull their name from a list.

If you're building toward your first SDR or marketing hire, this is the conversation to have now — before the hire, not after.

The system your first hire inherits determines whether they succeed. 68% of first GTM hires fail within 12 months. The consistent variable isn't talent. It's infrastructure. They were handed a cold list, a generic sequence, and told to figure it out.

A signal-fed pipeline changes what that hire does on day one. Instead of building lists from scratch, they work a queue of people who've already demonstrated interest. Instead of writing cold emails to strangers, they're following up on behavioral cues. The job becomes execution, not guessing.

You don't need a complex technical setup to start. The monitoring layer can be a single Trigify search. The scoring can live in a spreadsheet before it migrates anywhere. The point isn't the stack — it's the mindset shift.

Your buyers are already leaving signals. The question is whether anyone's watching.

Map your three signal categories before you build anything: competitor accounts your ICP follows, topic keywords they engage with, and lead magnets in your category they'd respond to.

Set up monitors for those. Review the output weekly. Look for people showing up across multiple signals in a short window. Reach out within 24 hours of a high-intent cluster. Reference what you saw.

That's the system stripped to its minimum. It doesn't require automation to start. It requires deciding that passive behavior is data — and that data deserves a response.

The Founder Freedom Toolkit walks through five workflows like this one, built specifically for founder-led B2B companies: https://www.thegtmarchitects.com/founder-freedom-toolkit