# Signal-based outbound vs intent data: what's the difference? Both promise to tell you who is likely to buy. One watches specific people do specific things in the last day or two. The other estimates which companies are researching a topic, somewhere, recently. They answer different questions. **The short answer:** **Signal-based outbound** works from first-party and person-level signals: a named person viewed your profile, engaged with a post, changed jobs, or their company posted a job ad, usually within days. **Third-party intent data** estimates which accounts are researching a topic across websites you do not own, at company level, over weeks. Signals tell you who and when; intent data tells you which accounts might be warming up. ## They differ on four things: who, what, when and whose data. | | Signal-based outbound | Third-party intent data | | --- | --- | --- | | Level | Usually a named person | Usually an account (a company) | | What happened | A specific action you can see: a view, a comment, a new role, a job ad | A pattern of reading about a topic, inferred from many sites | | When | Dated to the day | A trend over days or weeks | | Whose data | Yours (first-party) or public | A provider's, aggregated from a network of publishers | | How you check it | Look at it: you can see the comment or the job ad | Mostly trust the provider's model | | Decays in | Hours to days for first-party; weeks to months for trigger events | Usually refreshed weekly; precision is hard to judge | | Best for | Deciding who to message today | Deciding which accounts deserve attention this quarter | ## First-party signals are evidence; third-party intent is inference. When Priya at Northwind comments on your post about SDR ramp time, there is no model in between. You can read the comment. You know who she is, what she said and when. When an intent provider says Northwind is "surging" on "sales engagement", it is telling you that some people at Northwind, or some devices it attributes to Northwind, read more content on related topics than usual. That might be the sales team evaluating tools. It might be a marketer writing a blog post, a new hire reading up, or a student on the office network. You usually cannot tell which, and you cannot see the underlying evidence. There is also a timing gap. A comment is dated to the minute. An intent surge is usually a weekly roll-up of activity, so by the time it reaches a rep, the reading that caused it may be a fortnight old. For the attention-type signals that matter most in outbound, that is the difference between warm and cold. That does not make intent data useless. It makes it a different tool: good at saying "look here", weak at saying "message this person today". ## Account-level intent fits ABM; person-level signals fit outbound. Account-based marketing (ABM) starts from a set of named accounts and tries to warm them up with ads, content and coordinated outreach. Intent data fits that well: it helps decide which accounts in the target list get the budget this month. Signal-based outbound starts from people. It does not need a target account list at all, only an ICP. Someone shows a signal, passes the ICP check, gets a message. That is why it suits founders and small teams who do not have an ABM program to feed. Use intent data when ### You sell to named accounts You have a defined account list, an ABM motion, and want to know which of those accounts to focus on this month. Use signals when ### You need conversations this week You want a daily list of people who just did something, to message while it still matters. Use both when ### You have the team for it Intent picks the accounts to watch. Person-level signals inside those accounts pick who to contact, and when. ## The best combination: intent narrows the accounts, signals pick the person. ### Start with fit. Your ICP or target account list. Neither intent nor signals fix a bad fit. ### Use intent to rank accounts. Accounts showing topic interest get watched more closely this month. ### Watch for person-level signals inside those accounts. A profile view, a post engagement, a [new leader](https://signalbasedoutbound.com/signals/job-changes/), a [job ad](https://signalbasedoutbound.com/signals/hiring/) for the function you serve. ### Message the person who moved. About their problem, inside the signal's window. Not about the intent score. Done this way, intent data stops being a weekly CSV that nobody acts on and becomes a filter on top of signals you can actually see. ## Neither works if you narrate it. "Our data shows your company is researching sales engagement" is the intent-data version of "I saw you viewed my profile". Both tell the prospect they were watched, and the intent version is often wrong, which is worse. Use either kind of data to choose who and when. Write about their business. The one exception is a public event about them, like a funding round or a new role they announced, which you can mention naturally. ## Both raise privacy questions, but different ones. - **First-party signals** are interactions with you or public activity. Storing and using person-level data for outreach still falls under GDPR in the EU and UK. - **Third-party intent data** depends on how the provider collected it, often through cookies on other sites. Ask the provider how consent was obtained in your target regions. - **Website visitor identification** sits between the two and carries the most risk at person level. See the [website visitors guide](https://signalbasedoutbound.com/signals/website-visitors/). None of this is legal advice. If you work with EU or UK prospects, check with someone qualified. ## A quick rule for deciding. - Under ten salespeople, no ABM program: start with person-level signals. They are cheaper and you can see them. - A named account list and a marketing team running ABM: intent data helps decide where budget goes. - Both, and the capacity to act daily: use intent to rank accounts and signals to pick the moment. ### Is signal-based outbound the same as intent-based outbound? Not quite. Intent-based usually means working from third-party intent data at account level. Signal-based outbound works from person-level and first-party signals, dated to the day. ### Is third-party intent data accurate? It varies by provider and is hard to verify, because you cannot see the underlying activity. Treat it as a way to rank accounts, not as proof a person is in market. ### Do I need intent data for signal-based outbound? No. Many teams run signal-based outbound entirely on first-party signals and public trigger events. Next: [the buying signals ranking](https://signalbasedoutbound.com/buying-signals/), or [signal-based selling for sales teams](https://signalbasedoutbound.com/signal-based-selling/). --- Source: https://signalbasedoutbound.com/vs-intent-data/ Written by Zayd Ali, Founder & CEO of Valley (https://www.linkedin.com/in/zayd-syed-ali-4201101a9/). Published by Valley (https://joinvalley.co/?utm_source=signalbasedoutbound). Last updated 2026-10-27.