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Published September 8, 2026 · Updated September 8, 2026
The answer up front: a buying signal is observable behavior that says a specific company or person is closer to purchasing than the market average - and the useful way to think about them is by DISTANCE from you. Engagement signals (someone viewed your profile, engaged your post, followed your page) are the closest: a named person touched YOU. Company-event signals (they raised money, they are hiring your tell-role, your champion moved there) are one step out: the timing is public, the person is findable. Intent data (topic surges, review-site research) is the furthest: an anonymous account might be in market. The closer the signal, the higher the reply rate - our 30M-message dataset puts warm signal-based outreach at 15-45% replies against a ~2% cold baseline. This page is the map; every signal below links to its full playbook.
How we know this: we run signal-based outbound for 1,000+ LinkedIn accounts and have sent 30M+ messages triggered by the signals on this page. Facts about other tools and platforms were verified September 8, 2026 against their live pages and documentation.
Valley is an AI outbound platform that finds the people most likely to buy from you - from live buying signals, natural-language search, or your own lists - qualifies them against your ICP, researches each one, and sends personalized messages across email and LinkedIn that get 15-45% reply rates, against a category average of about 2%.
► The signals are free. Working them is the job: Valley does the working - free for 7 days
The taxonomy: every B2B buying signal, ranked by distance from you
Ring 1 - engagement signals (named person, touched you)
Signal | What it tells you | Full playbook |
|---|---|---|
Profile views | A named person spent attention on YOU - the most personal signal LinkedIn emits | |
Post engagement (yours) | They raised a hand in public on your topic | |
Competitor post engagement | They care about your category, right now, and your competitor built the audience | |
New followers | Ongoing interest, weakest of the ring but named and free | Work like profile views |
Website visits | Company-level interest on your own turf (person-level in the US via some tools) |
Ring 2 - company-event signals (public timing, findable person)
Signal | Why it converts | Full playbook |
|---|---|---|
Funding rounds | Software spend rises ~20% and 2-3 new tools land within 6 months of a raise (Cledara's transaction study) | |
Hiring surges | A posting is a public budget commitment to a problem - and the pool is ~14x larger than funding (Apollo's own data) | |
Job changes | Past champions are ~3x likelier to buy again in a new seat (UserGems benchmark, vendor-labeled) | |
Tech-stack changes | Adding or dropping a tool opens displacement and complement plays |
Ring 3 - intent data (anonymous account, might be in market)
Topic surges from publisher co-ops (Bombora), ad-bidstream inference (ZoomInfo, Demandbase), review-site research (G2). Real, expensive ($25-70K/yr medians), account-level, and false-positive-prone - 52% of users report frequent false positives in one research set. The full market map with prices: the best B2B intent data tools.
The three rules for acting on any signal
1. Speed beats polish. Every signal is a timestamp. Engagement decays in about 48 hours; funding warmth in weeks; a job-change window runs 30-90 days. The rule of thumb: respond inside the window or file it as context, not as a trigger.
2. Signal is timing, ICP is fit - you need both. A perfect-fit company with no signal is a cold list entry; a signaling company outside your ICP is noise. Qualify every signal against fit before a word gets written; that filter is where most signal programs quietly fail.
3. Reference the topic, never the surveillance. "Saw your take on X" opens doors; "I saw you viewed my profile three times" closes them. The signal buys relevance - spend it on a message about THEM.
Measuring a signal program
One metric settles every argument: replies from qualified prospects per 100 signal-triggered messages, compared against your cold baseline. Not activity, not impressions, not "signals detected." Our published numbers on that metric - and what counts as a reply - are in the reply-rate benchmarks report. Vendors selling signals rarely publish theirs; ask.
Where Valley sits
Valley is the execution layer for rings 1 and 2: it watches profile viewers, post engagers, followers and competitor audiences, plus hiring and funding events, qualifies every match against your ICP, researches each person across 200+ sources, and drafts outreach in your voice across LinkedIn and email - you approve every send, or let vetted sequences flow. $149/month billed quarterly, everything unlocked, 7-day free trial.
► From signal to reply, with you in control: run Valley free for 7 days
The 30-second version
Work ring 1 daily (named people, free to see), ring 2 weekly (public events, playbooks linked above), and buy ring 3 only with an enterprise budget and a validation plan. Speed, fit, and topic-not-surveillance - in that order.
FAQ
What are examples of buying signals in B2B? Closest first: someone viewing your profile or engaging your posts; a company hiring for the role your product serves; a funding round; a past champion changing jobs; a tech-stack change; and at the far edge, intent-data topic surges. Each has a dedicated playbook linked above.
What is the difference between buying signals and intent data? Intent data is one category of buying signal - the anonymous, account-level, purchased kind. Engagement and company-event signals are free or cheap, name a person or a moment, and convert better because they are closer to you.
Which buying signal converts best? The pattern across our 30M messages and every published study we can find: proximity wins. Named-person engagement signals beat company events, which beat anonymous intent. Warm signal-based outreach replies at 15-45% vs a ~2% cold baseline.
How fast do I need to act on a signal? Engagement: ~48 hours. Funding: the announcement week for warmth, the following quarter for budget. Job changes: days 30-90 in the new seat. Build the cadence around the signal's decay, not your sprint schedule.
What tools do I need to start? Nothing, to start: LinkedIn shows engagement natively and Google Alerts covers funding. To run it as a system - watching, qualifying, researching, writing, approving - that is Valley, at $149/month with a 7-day free trial.
► Start with the people already leaning in: free for 7 days, everything unlocked
