Intent signals for outbound: which triggers are worth acting on

A trigger is worth acting on when it points to a need you can solve, is recent, and reaches a person in the right role. Direct statements of need, such as asking for a recommendation or posting a job for the role you sell to, beat passive ones such as a profile view. On our own outbound, people who engaged with a relevant post replied at 54.6% against 37.2% for an untagged list, but the source of the signal changed meetings per person tenfold.

Intent data has become a crowded topic, and most of it is a list of trigger types with no ranking. This post ranks them by how closely they tie to a need, using the signal templates in our product as the catalogue and our own account as the test. It stays inside what we can show: we make no claim about the results of any single template.

What signals can you track?

Sellinger has 26 signal templates in 8 categories, working on LinkedIn:

They are included with every bundle. A signal turns into a list of leads that an agent can contact. We rank them below.

How do you judge any signal?

Four questions, in order.

1. Does it show a need? The person says they need something, or an event creates one.
2. Is it recent? The value of a signal decays in days.
3. Is it the right role? A signal from someone who cannot buy is noise.
4. Is it specific? You can mention it in the first line.

The more yes answers, the more it is worth acting on.

Which signals rank highest?

Tier 1: a stated need

• Asking for recommendations and tool or service recommendations. The person asks "what do you use for X?" You can answer the question they asked. The qualification must check that they are really seeking advice, not promoting.
• Agency search. Someone looking for a provider.
• Frustration. A post complaining about a tool or process in your area.

These score on all four: need, recency, specificity, and usually the right role.

Tier 2: an event that creates a need

• Funding announcement. A company with new money and a plan. See how to find companies that just raised funding.
• Hiring for a position. Hiring for the role you sell to, or for a team that will use your product.
• New joiner. A new leader changes tools in their first months.
• New office. Expansion creates new work.

The need is implied, so your message has to connect the event to a problem. They are strong with a good first line and weak with a generic one.

Tier 3: engagement with relevant content

• Engagers and commenters on a relevant post, yours or another's. On our own account this was the main source. Whether it works depends on whose posts: people who engaged with posts by AI SDR vendors and automation creators booked at 2.6% to 3.7% per person messaged, and people who engaged with enterprise sales thought leaders under 0.4%. Same method, a tenfold spread.
• Competitor engagers. People who follow your competitors' content show interest in the category.
• Conference attendees. A shared event is an easy opener, and they are in a buying frame.

Tier 4: passive signals

• Profile viewers. They looked, and you do not know why.
• New connections and basic activity. Useful for context, weak alone.

Use these to prioritise a list you already have, not as a list of their own.

Custom: AI signal and lookalike

The AI signal lets you describe in plain language what to detect, and a lookalike signal learns from posts you picked. They are flexible and only as good as the description or the examples, so test them on a small group first.

What does our own data say?

On our own LinkedIn outbound in the October 2025 cohort, an intent signal list replied at 54.6% and booked 4.54 meetings per 100 messaged. An untagged list replied at 37.2% and booked 1.16. A Sales Navigator search replied at 21.7% and booked 0.71. That is four times as many meetings from signal lists than from untagged ones.

Two limits. This is one account and one offer, so it is not a forecast for yours. And the signal type was engagement with posts, not funding or hiring, so it supports the principle and not the ranking above. The ranking is our reading, from how closely each signal ties to a need. We would like to give you a result per template and we do not have one we can publish.

One more point of honesty. Only 5 of about 30,000 of our own openers mentioned the post that put the person on the list. The signal chose the person, and the message ignored it. Mentioning the signal is the obvious next test. See observation openers beat questions.

How do you score a signal in practice?

Give each of the four questions one point and add them up. The scores below are our reading of typical cases, not measured results.

Act first on 3 and 4, test the middle on a small group, and leave the ones at 0 or 1 as context for a list you already have.

What does acting on a signal look like, in a made up example?

The following is invented to show the steps. A founder sells a scheduling tool for clinics.

1. Signal. A post from an operations manager at a clinic group: "Does anyone have a good way to cut missed appointments?" This is a stated need.
2. Qualify. The person manages operations, so the role fits, and the post is two days old, so it is fresh. It reads as a real question, not a promotion.
3. First line. "Saw your question about missed appointments. One thing that helped teams I have seen is a reminder the day before." The message names the trigger and answers the question.
4. Sequence. The normal intro plus up to two follow ups, each with something new, stopping at any reply.
5. Count. The thread is tagged with the signal type, so that at the end of the month you can compare replies and meetings for "asking for recommendations" against every other signal.

The first line is where most of the value sits. As noted above, only 5 of about 30,000 of our own openers mentioned the post that put the person on the list, so the obvious improvement is to say why you are writing.

How do you act on a signal?

1. Pick one or two signals. More than that spreads your attention.
2. Set a freshness window. Days.
3. Qualify. Check the person is the right role and the post means what it appears to.
4. Write a first line that names the trigger. An observation, not a pitch.
5. Use the normal sequence. With a cap on follow ups.
6. Count by signal. Replies, positive replies and meetings, per signal type, so you can keep what works.

For the background, see what is intent data, and for the product, intent signals and the signal based outreach use case.