A friend of mine (who I haven't seen since a long time) has been in B2B sales for over 20 years. When I met him last week and told him about IbexAI he told me something that really reinforced my strong conviction about our product.
He closed a $82,000 deal off a single LinkedIn like.
No reply to a cold DM. No intro, no referral. One prospect liked one of his posts. That was the whole opening.
His process:
He stopped pulling lists off filters and blasting sequences. Now he watches for what he calls dynamic signals, small behaviors that show someone is already thinking about the problem he solves:
viewed his profile
liked a competitor's post
commented under a post about the problem
followed someone in his space
showed up in a niche discussion
Most people scroll past that stuff. He treats it as the start of a conversation.
When someone engages with something close to his offer, he uses it as context and sends one relevant thing. A short insight, a case study, a question about whatever they just engaged with. No sequence, no pitch.
Two examples he gave me:
A VP viewed his profile after reading his post about ROI in telecom. He sent over a case study on ROI for a similar client. The VP replied the same day.
A director liked an influencer's post about the exact problem his product solves. He sent a short message offering help, no strings. Call booked that week.
His numbers since switching: 4x replies, 4x acceptance rate, and over 90% of people who respond are actually qualified.
His formula: high intent + right timing = conversations that convert.
It's slow compared to firing off 500 DMs. It works.
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PS: Follow me on X along my building in public journey.
had something similar happen recently, someone commented with a detailed question on a post I made and that turned into a real back-and-forth over days. way more valuable than any cold outreach could've been
That’s a wild outcome from one like — curious whether that was a warm-ish connection already or a total cold hit. Either way, it’s a good reminder that a lot of deal flow still comes down to timing and being visible in the right feed at the right moment, not just outbound volume.
Genuine reaction, with some pushback on the framing since the headline is doing a lot of narrative work:
The "closed off a single LinkedIn like" framing is carrying a lot of weight here. The like was the visible trigger, but from the two examples given, the real leverage was that he had something specific and useful ready to send the moment he saw it, a case study that matched exactly what the VP had just read about, or a genuinely helpful message with no ask attached. That's less about noticing the like fast and more about having relevant material on hand and paying attention. Someone without a telecom ROI case study sitting ready wouldn't have converted that VP no matter how quickly they caught the signal.
The 4x numbers are also just a self-reported before/after with no volume baseline. Curious how many of these signal-based opportunities he's actually seeing per week compared to the 500 DMs he used to send. If it's 5 a week instead of 500, better per-lead conversion doesn't necessarily mean more total revenue, just fewer, more selective shots on goal.
The shift from blasting sequences to watching for real intent signals makes total sense. Quality over volume always wins. Saving this.
This tracks with something I've noticed on a much smaller-ticket end of B2B too. I do outreach for a service-business SaaS, $19-79/mo range, not enterprise deals. Cold WhatsApp messages to salon/barbershop owners get flagged as spam almost immediately, even at low volume. But showing up in a Facebook group where the same owners are actually asking questions gets real replies, because it's not a stranger pitching, it's a comment on something they already said out loud.
Slower than blasting, but the reply quality is night and day. Your friend's version of this at $82K deals is the same mechanic, just with LinkedIn instead of Facebook groups.
Dropping this here because it’s such a perfect real-world example of what we’ve been talking about.
That $82K deal starting with a like is wild, but it makes total sense. Most of us treat likes and profile views as digital noise—he treated it as intent. That’s the shift.
It reminds me of the convo earlier about timing. My friend isn’t “spraying and praying”; he’s waiting for the signal, then showing up exactly when the problem is top of mind. The fact that he ditched the massive lists for these tiny behavioral cues is exactly why his reply rate is 4x higher. People aren't ignoring him because he isn't interrupting them—he's joining a thought they already had.
Honestly, it’s a great validation for IbexAI too. If the tool can reliably surface these "dynamic signals" without someone having to babysit LinkedIn all day, that’s the dream. It’s not about automating the conversation; it’s about automating the awareness of when to have the conversation.
Also, major respect for the discipline. Sending one relevant case study instead of a 5-step sequence takes restraint. But clearly, restraint pays.
Curious—does IbexAI currently track those lighter signals (likes/follows/views) or is it mostly focused on comment/keyword monitoring right now? That seems to be the edge case where most tools fall short.
Twenty years of B2B selling taught me the expensive lesson hidden in this story: the $82K wasn't closed by the like, it was closed by the years of posts that made the prospect like something in the first place. Signal-watching only works if you're also generating signals worth reacting to, which is why sales teams that quit posting see their "dynamic signals" dry up within a quarter. The 4x reply rate matches what I see; warm context beats sequence volume every time.
I have seen something similar. The signal is only the first step. The message still needs to match what the person just did. I would also wait a little before reaching out instead of messaging right after every like or profile view. That feels more natural. Keep the first message short, ask one simple question, and do not try to book a call immediately. I think that builds much better conversations over time.
That's pretty cool, who's the friend? Just curious if we can see the real thing in action...
the mechanism is real, and i think there is a second half worth naming.
i pulled my own numbers this morning. 3,686 followers, and a post from five hours earlier had 21 impressions. well under 1% reach. so on the publishing side, posting into your own audience does close to nothing organically.
which is exactly why the signal your friend used is worth more than the post that produced it. the like is not only intent, it is the part of linkedin that actually has distribution. a comment you leave under someone else's post gets shown to an audience they already built and the algorithm already decided to serve. your own post does not get that for free.
so the asymmetry cuts both ways. it is why watching engagement finds you prospects, and it is why leaving thoughtful comments beats publishing more if what you want is to be found rather than to find.
one gentle push back though: 4x replies is a rate, not a volume. a much better rate on a much smaller pool can still be fewer conversations in absolute terms. worth counting how many qualifying signals your niche actually throws off per week before you lean on it as the main channel.