Sales blogs throw around the phrase like everyone agrees on it, but ask ten founders what are buying signals and you’ll get ten vague answers about “interest” and “intent.” That fuzziness is expensive, because if you can’t name the signal, you can’t act on it. So let’s be concrete. A buying signal is any observable thing a person does that reveals they have the problem you solve and might be ready to do something about it. The key word is observable. A feeling isn’t a signal. A behavior is.
Get clear on this and your outreach changes completely, because you stop guessing who might care and start reacting to people who’ve shown you they do.
What are buying signals, in plain terms
Strip away the jargon and a buying signal is just evidence of two things happening at once: the person has the problem, and the problem is active right now. Both halves matter. Plenty of people have the problem in the abstract and aren’t doing anything about it. Those aren’t signals, they’re someday-maybes. A real signal is when the problem moves from background noise to “I need to deal with this.” That shift is everything, because it’s the difference between someone who’d nod along if you described the problem and someone who’d pay to make it stop today. Your job isn’t to create that shift through clever marketing. It’s to notice it the moment it happens in someone else’s life.
So the strongest signals are the ones where someone is visibly in motion. They’re asking, comparing, complaining, or searching. They’ve stopped tolerating the problem and started looking for the exit. That’s the moment your message is welcome instead of annoying.
Examples you can actually spot
Abstract definitions don’t help, so here’s what signals look like in the real world:
- Asking for a recommendation. “What does everyone use for X?” is the clearest signal there is. They’ve told you they’re shopping.
- Complaining about a competitor. Someone publicly frustrated with the tool you replace is halfway out the door already.
- Describing a workaround. When people build a clunky spreadsheet to limp past a problem, they’re feeling it daily and quietly hoping for something better.
- A trigger event. A new role, a funding round, a team that just doubled. Change creates problems that didn’t exist last month.
Why signals beat contact data
A list of emails tells you who exists. A signal tells you who’s ready. Those are wildly different things, and most outreach fails because it confuses them. You can have the perfect prospect’s contact details and reach them on a Tuesday when the problem is nowhere on their mind, and you’ll get nothing. Catch a worse-fit prospect at the moment they’re actively searching, and you’ll get a reply.
Timing isn’t a tiebreaker, it’s most of the game. This is why hunting for signals beats buying bigger lists. You’re not trying to reach more people, you’re trying to reach the right people at the one moment your message makes sense.
The catch with signals
The honest downside: signals are scattered and they expire. Someone asking for a recommendation today has chosen something by next week. They’re spread across forums, social posts, and communities, and watching all of it by hand is a full-time job nobody has. That’s the practical problem with signal-based selling, and it’s the reason most people fall back on the easier, worse approach of just buying a list.
This is precision over volume in practice, the idea behind why more leads is the wrong goal.
Once you know what to look for, the next question is which signals are worth chasing, which we get into in the signals that actually predict a reply. Watching for them across every channel is the slow part, and it’s exactly what we built Unbound Compute to do, so knowing what are buying signals turns into a feed of people worth messaging today, before the moment passes.