Spot the accounts already showing buying intent before you spend a single message reaching out cold.
By Joel Wylie, Founder · Last updated 7 August 2026
The LinkedIn Intent Signals Playbook is how we spot the accounts in an ICP that are already showing buying intent, score them, and route them to the front of the outbound queue. Instead of working a flat list top to bottom, the accounts most likely to convert get reached first, while intent is at its peak.
Not every company in your ICP is equally ready to hear from you today. Some are actively hiring for the exact role your product replaces or supports. Some just changed leadership. Some are already engaging with your competitors' content. Reaching all of them with the same priority wastes the accounts that would have converted fastest.
We track five signals. Each one is cheap to collect, and each one says an account is closer to a buying decision than the ICP filter alone suggests.
| Signal | What it tells you | Why it works |
|---|---|---|
| Job changes | A new VP or Head of a relevant function is in their first 90 days | New leaders are more open to new vendors than someone three years into the seat with a stack they already trust |
| Hiring activity | Open roles show what the company is about to need more of | Hiring often precedes active buying by months, so you arrive before the shortlist forms |
| Content engagement | Who is liking, commenting on or sharing content in your category | One of the most reliable early signals: someone is already thinking about the problem you solve |
| Competitor followers | People following or engaging with a competitor | They have shown they are in-market, they just have not found you yet |
| Group and event activity | Attendance at a relevant event or membership in an active industry group | Cheap and easy to scrape, and it correlates with real interest in the space |
Any one of these signals alone is weak. Stacked, they get reliable. An account with a recent leadership change, hiring activity in the right function and engagement with a competitor is a very different priority to one showing none of those.
So we score each account on how many signals it is showing, and let that score decide the order accounts get worked, not just whether they get worked at all. The flat ICP export becomes a ranked queue where position reflects readiness to buy.
Signal-scored accounts route straight into whichever channel is live that week, cold email or LinkedIn, at the top of the queue. The offer and the copy stay the same. What changes is timing: the highest-intent accounts get reached first, while intent is at its peak, instead of waiting in line behind every other company that happens to fit the ICP on paper.
The play pairs naturally with lookalike sourcing. Lookalikes define which companies belong in the universe; signals decide which of them get worked this week.
Any team with a defined ICP and more accounts in it than they can reach in a week. If your list is small enough to work end to end every cycle, prioritisation buys you little. The moment capacity is the constraint, signal scoring is the cheapest lever you have, because it changes outcomes without touching the offer, the copy or the volume.
Observable behaviours on LinkedIn that show an account is moving towards a purchase: leadership changes, hiring activity, engagement with category content, competitor followers, and event or group activity.
No. Any single signal is weak. We score accounts on how many signals they show at once, and stacked signals are what make the score reliable.
No. The offer and copy stay the same. The score only changes the order accounts are worked, so the highest-intent companies hear from you first.
Content engagement. Someone liking, commenting on or sharing content in your category is already thinking about the problem you solve, which makes it one of the strongest early signals.
Whichever channel is live that week, cold email or LinkedIn. Scored accounts enter at the top of the queue so they are reached while intent is at its peak.
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