What is a buying signal on LinkedIn?
Checked October 2026
A buying signal on LinkedIn is something a person or company does in public that says the need exists now, as opposed to a job title that says they could need it someday. The ones that hold up are a post admitting a gap ("we don’t have a sales team"), a first hire for the function, a funding announcement, a recent job change, engagement with content their buyers follow, and a comment on your own post. Fit says who could buy. A signal says when to write.
What counts as a buying signal, and what does not?
A signal is an action with a date on it. Someone wrote a post, changed jobs, raised money, hired for a role, liked or commented on something. Each of those happened on a day, which means it goes stale, and each of them says something about this week rather than about the company in general.
Title, company size, industry and location are fit, not signal. They tell you the person could be a buyer; they tell you nothing about whether this is the month. Most LinkedIn outreach runs on fit alone, which is why so much of it arrives at the wrong time. The campaigns that book start with fit and then pick, from inside that pool, the people with a reason to be written to now.
Which signals does Gelee actually watch?
Seven, listed below, with how each is found. Everyone a signal surfaces still passes through the hard filters (title, company size, industry, location) before a message goes out; a signal gets a person considered, never past the filters.
- Engagement with tracked content
- A tracked-accounts campaign watches a handful of LinkedIn people the buyer already follows and collects whoever likes or comments on their posts. The list refills as the accounts keep posting. Before an account is tracked, the system reads its last three posts and reports whether 60% or more of the engagers match the buyer; under 60% it is not tracked. Around 30 to a few hundred likes per post is the useful range; celebrity accounts pull in a random crowd.
- A phrase someone just posted
- A post-keywords campaign watches posts for up to eight quoted phrases and adds whoever wrote one, with the post saved so the opener can mention it. The five kinds that work: an admitted gap ("we don’t have a sales team", "still doing all the sales"), a first hire ("our first SDR", "hiring our first sales rep"), growing the team ("growing our sales team"), fresh money ("closed our seed round"), and switching tools ("switching from Apollo"). Checked weekly.
- A comment on your own post
- The post commenters preset messages everyone who comments on a watched post and replies publicly under their comment once the DM has gone. The comment is the signal, and it is the warmest one on this list, because the person started the conversation.
- A recent job change
- Started the current role within the last 12 months, read from the profile at enrichment. New people in a role buy tools and services in their first year; the intent score gives this 15 points out of 100.
- The Hiring badge
- The person is showing LinkedIn’s Hiring frame. A company hiring for a function has budget for that function. Also 15 points.
- Company news: funding, launch, executive hire, expansion
- Scored at 15 points each (20 when the news matches the client’s own keywords), capped at 30, fading over 30 to 90 days. In practice most funding and launch signals arrive through the post-keywords route, where the founder announces it in their own words, which is both fresher and cheaper than scanning news feeds.
- Open to Work
- Recorded as a fact about the person, not scored. It is a reason to be careful rather than a reason to sell: someone leaving a company is rarely the buyer at it.
What is not a signal here?
Website visitors. The system does not identify anonymous visitors to a client’s site; the only website event it records is a click on a tracked link inside a message it sent, and a click is reported as a click, never as a conversion. Profile views, email opens and third-party intent feeds are not used either. The scoring is built only from what the person did on LinkedIn or said in public, by design.
How fresh is each signal?
Every signal fades, and the scoring says how fast. A score of 60 or more is hot, 30 or more is warm; the score is computed once when the person is enriched and not refreshed.
- Engagement
- Full value (25 points) for 14 days after the like or comment, fading in a straight line to nothing at 60 days.
- A posted phrase
- LinkedIn’s post search reaches back about a month, so a post from six weeks ago cannot be found by anyone. The campaign checks weekly; a campaign that runs every week catches what a monthly manual search misses.
- Job change
- Counts while the role is under 12 months old.
- Hiring badge
- Counts while the frame is showing.
- Company news
- Full value for 30 days, gone at 90. Undated news counts at 70%.
- A comment on your post
- Acted on the same day; the public reply goes under the comment while the thread is still live.
What do you say when you act on one?
Name the signal in the first line, then follow the shape that books: who you are and what you built, a proof a stranger can check, the reason it is them (the signal), and an ask they can answer in one word. Keep it between 300 and 500 characters; in our 7 August 2026 measurement across 42 campaigns, 42 of the 49 booked calls came from openers that length. The bracketed parts below are yours to fill; the proof has to be real and checkable.
- After an admitted gap
- Hi [first name], saw your post about still doing all the sales yourself. I’m [name], we [what you do in eight words]; [one checkable result]. Happy to send the two-page version of how it works, want it?
- After a first sales hire
- Congrats on the first SDR, [first name]. The first three months are usually where the list and the follow-ups get decided. I’m [name], we [what you do]; [proof]. Can I send over what we have seen work in that window?
- After a funding post
- Congrats on closing the seed. The usual next line is the first sales hire; before that, [one sentence on what you do and one result a stranger can check]. Can I send you [the thing]?
- After engagement with tracked content
- Noticed you commented on [tracked account]’s post about [topic]. We built [thing] for exactly that; [proof]. Want the short version?
- After a job change
- Saw you moved into [role] at [company] this year. When [customer type] make that move, the first thing they usually fix is [problem]; [proof]. Worth a look at [thing]?
- Do not write
- "I heard you are actively looking for [solution]." A claim the person knows is untrue reads as a bot; one opener built on it got 0 positive replies from 114 invitations and 89 in 100 did not accept. The signal has to be something they actually did.
What does LinkedIn itself expose, and what needs other data?
LinkedIn shows, on the profile or the post, almost everything above: the post text and date, who liked and who commented, the current role and its start date, the Hiring frame and the Open to Work frame, and the search filters for title, place, company size and industry. Reading it costs the account’s own read budget, which is why engagement is harvested a few hundred people at a time with pauses between pages rather than scraped in one pass.
What LinkedIn does not give you is the company side: a funding round, a launch, an executive hire, a headcount jump. Those come from news and company data outside LinkedIn, and they cost real money to fetch at scale, which is the lesson behind the switched-off sweep above. Website visitor identification is a separate vendor category again and has nothing to do with LinkedIn. LinkedIn documents none of this as a "signal"; the word is ours.
Where Gelee fits
Gelee runs the signal campaigns above on your own LinkedIn accounts, inside the account limits, and drafts the reply when someone writes back. What the campaigns produce, measured with the period and the sample attached, is on our benchmarks page, which is updated in place each quarter.
Common questions
Is engagement with a post really a buying signal?
For the right account, yes, and the data is stark. One client sent the same opener to four lists; the list of people who had engaged with competitors’ content replied positively at 28 per 100 accepted, against 10 per 100 for a list of community leads. Nothing changed but who received it. The account being tracked has to be one the buyer actually follows, which is what the 60% match check is for.
How many signals does one person need?
One, on top of fit. A hot score (60 or more) usually needs two, say recent engagement plus a job change, but a single admitted gap in a post is enough reason to write on its own. Fit comes first either way: a strong signal on someone outside the title, size or location rules is still filtered out.
What is the difference between a buying signal and intent data?
Intent data is usually a vendor’s inference from web traffic or content consumption across many sites, bought as a feed. A buying signal here is a specific public act by a named person, with a date and a link, that you can quote back to them in the first line. Gelee uses only the second kind.
Do signals expire?
Yes. Engagement is worth full value for two weeks and nothing after two months; company news for a month and nothing after three; a job change for a year. A post can only be found for about a month after it was written. That is why signal campaigns run on a schedule rather than as a one-off list pull.
Can Gelee see who visited my website?
No. It records clicks on tracked links inside its own messages and nothing else about your site. If you run a visitor-identification tool, its output can be pushed into a campaign through the API as a list, and the people on it go through the same filters as everyone else.
Sources
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