Buying signals: are they worth it for outbound?
Buying signals help with timing and relevance in outbound, but not with a weak ICP or offer. Which signals are reliable, which are noisy, and the signal theatre trap.
Karim MFounder, SendingOS · 4 min read
Everyone selling to sales teams has a pitch about buying signals: reach the right person at exactly the right moment. Some of that is true. Some is a data product looking for a budget. If you run outbound, the useful question is narrower: do buying signals improve what you send, to whom, and when?
Our answer is yes, as a layer on top of a good ICP and a good offer. They are not a substitute for either.
What buying signals are
A buying signal is something you can observe that suggests a person or company may be ready to hear from you. "Intent signals" and "intent data" are close cousins: intent data usually means third-party data on what an account is researching elsewhere, while buying signals also include plain events you can see yourself.
The common kinds:
Hiring. A company posts roles related to your area.
Funding. A round was announced.
Tech changes. They adopted, or dropped, a tool you integrate with or replace.
Job changes. Your champion moved companies, or someone new took the role you sell to.
Content engagement. Someone commented on or reacted to a relevant post.
Website visits. Someone from a company looked at your site.
Third-party intent. A provider reports that an account is researching a topic.
Which buying signals are reliable, and which are noisy
None of these are certain. They differ in how directly they connect to a need. A rough guide, from our experience rather than a benchmark:
Signal | What it tells you | How much to trust it |
|---|---|---|
Hiring for a relevant role | The company is investing in that area | Fairly direct, as long as the role matches what you sell |
Job change | A person has new priorities and may know you already | Useful, especially for a past contact |
Funding | They have money | Indirect: money isn't the same as a need |
Tech change | A concrete shift in their stack | Strong when it touches your product, otherwise weak |
Content engagement | One person showed interest in a topic | Real but thin; check the person fits the ICP |
Website visits | Someone looked | Hard to attribute to a person; treat as a hint |
Third-party intent | A topic was researched somewhere | Broadest and noisiest; test it before trusting it |
The pattern: the closer the signal is to a specific problem you solve, the more it's worth. The further it is from that, the more it reads as "a company exists and is doing things."
Combining signals helps more than any single one. A relevant hire plus a tool change plus a fit on size is a stronger reason to reach out than any of the three alone.
The signal theatre trap
Signal theatre is when the signal becomes the point instead of the person.
Mentioning it creepily. "I saw you visited our pricing page twice on Tuesday" tells the reader they're being watched. Use the signal to decide who and when, and write the message around their situation, not your surveillance. "Congrats on the new round" is fine when it's genuine; a message that reads like a log file is not.
Shrinking the list too far. If you only contact accounts that fired a signal this week, you may end up with a list too small to learn from, and you will skip good-fit accounts that simply have no visible event. Signals are a way to order and time a list that already fits, not a filter to throw the rest away.
Treating a signal as a fit. A company that hired for the role you sell to, but is the wrong size or industry, is still the wrong company.
Do buying signals help with timing and relevance?
Yes, both. Timing: you reach people when something has changed, which is when they're more likely to consider a change. Relevance: a real, specific reason to reach out is easier to write than a generic opener. That is the honest case for signals, and it's a good one.
What they don't do is replace the groundwork. A weak offer at the right moment still gets ignored. See GTM strategy for what to settle first, and how to write a cold email for turning a signal into a message that doesn't read like theatre.
Using signals without a big stack
You don't need a platform to start. Pick one or two signals that map directly to your offer, check them by hand on a small list, and see whether replies improve compared to the same list without them. If they don't, you've learned that cheaply.
In SendingOS, database searches are free, and AI and HTTP columns let you describe a column or call any API so every row fills in. So if a signal comes from an API you already have access to, an HTTP column can pull it into a list you already trust, and an AI column can turn it into one line of copy. Verify the emails too: email verification is free.
A balanced verdict
Signals are a modest, real advantage when used as timing and relevance on top of a clear ICP and a good offer. They are overhyped when sold as a way to skip those, or when the effort of collecting them exceeds the lift they give. Test one, measure replies against a control, and keep the ones that earn their place.
Run email, LinkedIn and calling from one sequencer, with the deliverability setup built in.
Book a callQuestions
What are buying signals?
Buying signals are observable events that suggest a company or person might be ready for what you sell: a hire, a funding round, a tech change, a job change, content engagement or a website visit. They tell you when and why to reach out, not whether they fit.
What is the difference between buying signals and intent data?
Intent data usually means third-party data about what a company is researching elsewhere. Buying signals is the wider term and also covers events you can see yourself, like hiring or funding. Both are inputs to timing, not proof of purchase.
Are buying signals worth it for cold outbound?
Often, as a way to prioritize and add a relevant reason to reach out, if the list already fits your ICP. They don't fix a weak offer, and chasing them can shrink your list too far to learn from.
