Ranking Buying Signals by How Close They Sit to a Decision
A comment from 48 hours ago beats a funding round. Here is how six common buying signals rank on decision proximity, warm window, and competing explanations.
Which buying signal is worth acting on first?
A comment on a post about the problem you solve, sent within 48 hours. The person chose to type something in public, their name is attached, and the timestamp tells you exactly when they were thinking about it. Our cold first-message reply rate runs 12 to 18%. Messages that quote a two-day-old comment sit at the top of that band.
Rank any signal on three things: how close the event sits to an actual purchase decision, how many days it stays useful, and how many other explanations exist for it. Overloop's playbook splits 42 signals into High and Mid, where High means the event is specific and close to a decision and Mid means it needs corroborating evidence. The same logic applies to effort. Demandbase rates webinar attendance highly because it demands a time commitment, and nobody gives up 45 minutes for a topic they do not care about. A comment costs 20 seconds. A funding announcement costs the prospect nothing at all.
How do the main signals rank against each other?
Fundraises and hiring posts are the loudest signals and the weakest per message, because every competitor gets the same alert on the same morning. The quiet ones, a comment or a new VP in week three, convert better because almost nobody is working them.
| Signal | How close to a decision | Window it stays warm | What else explains it |
|---|---|---|---|
| Comment on a relevant post | Mid to high | 24 to 72 hours | They comment on everything for reach |
| New in role, 30 to 60 days | High | About 90 days | Internal promotion, no budget yet |
| SDR or AE hiring surge | High | 4 to 8 weeks | Backfill, agency reposting, ghost listing |
| Pricing page visit | High | 3 to 5 days | Competitor research, a student, your own team |
| Fundraise announcement | Low | 6 to 12 months | Money is earmarked for engineering |
| Engaging with a competitor's content | Low to mid | 1 to 2 weeks | They are a customer, or an employee |
Why is a fundraise such a weak signal?
Money landing in a bank account tells you a company can afford things. It does not tell you they want yours. Todd Busler ranked 15 signals worst to best and put raising money at number one, the worst of the fifteen, with opening a new office and a new product launch right behind it.
The problem is competition. A Series A gets posted to Crunchbase, picked up by every signal tool, and pushed into a few hundred sequences the same week. The new VP of Sales opens LinkedIn on Tuesday to 40 connection requests that all start with "congrats on the raise".
If you use it, use it late. Wait six to ten weeks, then reference what they said the money was for. "You mentioned the raise was going into the sales team, are you hiring inbound or outbound first" is a message the other 39 people did not send in week one.
Does a hiring surge mean they are buying?
Usually yes, if you read the roles rather than the count. Three SDR openings and a sales manager means an outbound budget cleared finance in the last month. Two engineers and a designer means nothing for you unless you sell to engineering. Job posts carry a date, so freshness is one of the few things you can verify for free.
False positives here are real. A single opening is often a backfill for someone who quit. Staffing agencies repost the same role under their own brand. Some listings stay live for six months with no one behind them.
What to say: skip the hiring, talk about what the hire will inherit. "You are bringing on three SDRs in January, what are they working from on day one" gets a reply from a sales leader because it is the thing keeping them up. We go through the mechanics of this in four LinkedIn buyer triggers that lift cold reply rates.
How good is post engagement, really?
Good enough that we built a preset around it. Gelee's Post Commenters watches a post, DMs everyone who comments, then posts a public reply to that comment once the DM is confirmed sent. The DM arrives while the tab is still open and the public reply gives them a reason to check.
The strength depends entirely on the post. Someone commenting on your post about hiring costs is a different prospect from someone commenting on a viral post about remote work. If you are watching a third party's post, watch one about the problem, not one about the industry.
Volume is the limit. A post with 60 comments might contain 12 people in your ICP. At a 3 to 5% meeting rate across invites, twelve people is not a pipeline on its own. If you want more of these windows, the answer is to write posts that pull your buyers into the comments, and you can test a draft against the viral post predictor before you publish it.
Is an anonymous website visit worth a LinkedIn message?
It depends which page. A pricing page visit from a target account is one of the strongest things you will see all month, and the window is three to five days. A blog post visit is a person who found you on Google and will never remember your name.
Deanonymisation gives you an account, not a person. So you get "someone at Acme read your pricing page on Tuesday" and then you guess which of the four people on your list it was. That guess is where most of the value leaks out. Messaging all four with "I saw you were looking at our pricing" is how you get reported.
What to say: reference the topic, never the tracking. "Are you comparing options for X right now" works. "I saw you on our site" does not. We compare paid intent data against what LinkedIn gives you for free in buying intent data vs LinkedIn signals.
Should you chase people engaging with your competitor?
Only with a second signal alongside it. A like on a competitor's post has at least four explanations, and one of them is that the person already works there. SalesIntel puts competitor contract termination on its list of 15 proven signals, and that one is worth chasing, because a contract ending is a date on a calendar rather than a mood.
Public complaints are the version of this you can actually see. Someone replying to a competitor's announcement with "this used to be a feature we paid for" is telling you their renewal is in play.
What to say: never name the competitor first. "What are you using for X at the moment" lets them raise it, and when they do, the objection handling is a conversation about switching costs rather than a pitch.
Can you run outbound on signals alone?
No, and this is where most signal-led programmes quietly stall. A warm LinkedIn account safely sends 20 to 25 invites a day, which is 400 to 500 a month. If you watch four posts a week and 12 commenters per post fit your ICP, that is 192 signal-based prospects a month. At a 3 to 5% meeting rate, roughly six to nine meetings.
Signals fill maybe 40% of a healthy send volume. The rest is list-based outreach to people who match your ICP and did nothing this week. Reply rates on that cold half sit lower, 12 to 18% on the first message and 5 to 8% on follow-ups, which is why cold outbound still works but got harder rather than got replaced.
Who should ignore buying signals entirely?
Anyone whose buyers do not post. If you sell to plant managers, procurement leads at 40-year-old manufacturers, or hospital administrators, watching LinkedIn engagement gives you an empty queue. Phone and email lists beat signals there, and Gelee is the wrong product for you.
The other case is deal size. Chasing a commenter takes research, a custom opener, and a reply written by someone who read the thread. On a $1,200 annual contract that work does not pay back. Under roughly $2,000 a deal, run volume, keep the message simple, and accept the lower reply rate.