The short version
Intent-based lead sourcing means finding prospects from signals they sent recently - a follow, a like, a buying-intent post - rather than from job-title records in a database. The signal pool is smaller per search but every lead has already self-identified as interested in your category. Reply rates change accordingly: cold-database outreach lands at 1-3%, warm intent-signal outreach typically lands in the double digits. The best intent signals for lead sourcing in 2026 are social follows, post likes, and recommendation requests - because they're public, deliberate, and happen often enough to source from at volume.
What an "intent signal" actually is (and the spectrum that matters)
An intent signal is any action a person takes that suggests they're thinking about a category - your category - right now. The traditional B2B SaaS definition leans heavily on "research behaviour": page visits to comparison pages, downloads of buyer guides, repeat visits to pricing. That's fine, but it's a tiny slice of what actually counts as intent.
The full spectrum (rough order of strength):
- Filled in a form on your site - intent is high, but limited to the audience already on your site
- Followed a competitor on social - lower friction than a form fill, but a deliberate public statement of interest in your category
- Posted a buying-intent question ("anyone got a recommendation for X?") - extremely high intent, very rare in the wild
- Liked a post about your category - low friction but high frequency, useful in aggregate
- Visited multiple comparison-shopping pages - high intent, but you only see the ones who land on YOUR comparison pages
- Subscribed to a category newsletter - medium intent, durable signal
- Job-changed into a relevant role - latent intent, useful for some categories
Most B2B teams optimise around the first signal (form fills) because that's what their MAP captures. The other six exist in the wild every day; they're just harder to capture without tooling.
Why social signals are the most undervalued category
Social engagement signals have three properties that make them genuinely different from the other intent sources:
They're public. No login, no integration, no API contract. Anyone who follows a public account on X or LinkedIn is doing it in front of the world. The data exists; the only question is who's paying attention.
They're cheap to send. A form fill takes 60 seconds and gives the prospect anxiety about being added to a drip campaign. A follow takes one click and feels like a casual gesture. The lower friction means social signals happen way more often than form fills - which means there's much more data to source from (and yes, that means more noise too - which is what classification is for).
They're category-shaped, not vendor-shaped. A form fill on Apollo's site tells you the person is researching Apollo. A follow of Apollo on X tells you the person is researching the contact-database category. The second signal is more useful for everyone in that category who isn't Apollo, which is most of us.
How to source leads from intent signals in practice
The mechanics: pick the accounts that the people you want are most likely to follow. For B2B SaaS, that's usually a mix of direct competitors, well-known category leaders (podcasters, analysts, conference accounts), and adjacent solutions your customers use. Track those accounts. Watch who engages with them. Filter the engagement down to people who match your ideal customer profile.
This is where Catch The Good Ones fits. You add the public accounts you want to watch (just the @handle, no API key), describe your ideal customer in plain English - "B2B SaaS founders with 5K-50K followers, US-based, not investors" - and the AI classifies every new follower and engager against that profile daily. Every match arrives enriched with their LinkedIn URL and verified email, ready to drop straight into your outbound stack (HeyReach or Dripify for LinkedIn, Smartlead or Instantly for email). Up to 500 self-qualified leads per tracked account per day on Pro. The volume scales with how many accounts you care to track; the warmth comes from the fact that every lead acted recently.
When intent signals do and do not work
Intent-signal sourcing genuinely is the best lead source for: small teams where every reply costs an hour of someone's time, premium-ACV products where conversion per touch matters more than top-of-funnel volume, and any product whose buyer needs to recognise the category before they will reply.
It's less effective for: undifferentiated category-creating products where nobody is yet showing intent because the category does not exist in their heads (you have to create the signal first, usually with content); and pure-volume plays where you genuinely need 50,000 sends a month and don't care if 47,000 of them go unread.
The modern teams that win are running both. Intent signals for the warmest segments where conversion matters. Cold-database outbound for the colder segments where they're willing to trade reply rate for scale. The mistake is doing one and pretending the other doesn't have a place. (Doing only one and being smug about it on LinkedIn is its own genre but rarely a strategy.)
The takeaway
Most lead sourcing in 2026 is still anchored on the database era - find people with the job title, send them the email, hope. The teams pulling ahead are the ones moving the anchor from "who matches the profile" to "who just acted on the intent". The full multi-method playbook is in how to source leads for outbound without a database; this post is the why. Once you start sourcing from signals, you don't go back - because the reply-rate gap is too obvious to ignore.