How to turn LinkedIn signals into warm leads

Every week someone asks me the same question: where do you find people worth contacting on LinkedIn? The honest answer is that I mostly don’t find them. They show up on their own, and my job is to notice.

First we’ll walk through the method so you can use it by hand. Then we’ll show you how to automate the same work with Vaam.

The signals are already on LinkedIn

Most people use LinkedIn to publish content, build their network or send cold messages.

Meanwhile, potential customers leave signals every day. They visit profiles, engage with relevant posts and follow companies. Some are already in your network, but no one has started a real conversation.

The problem is consistency. Signals rarely get noticed, reviewed and acted on every time.

That is the basis for signal-based outreach.

The system at a glance

The system has five steps:

1. Signal: Find people who have shown relevant activity or have an existing connection to you on LinkedIn.
2. Fit check: Check whether the person has the right role and works at the right type of company.
3. Prioritization: Weigh up the signal’s strength, how recent it is and how relevant the person is to your business.
4. Outreach: Start a relevant conversation without making the person feel watched.
5. Follow-up: Follow up consistently and step in personally when interest grows.

Signal → fit check → prioritization → outreach → follow-up

The signal helps you decide who to contact and when. The fit check tells you whether they are relevant to your business.

Four signal-based plays

Start with what is usually the warmest signal, then move towards broader audiences:

1. People who have visited your profile
2. People who engage with relevant posts
3. People who follow your company page
4. Existing connections in your target audience

Use this as a starting point, not a fixed ranking. A recent, relevant comment can be stronger than an older profile visit. A new company follower who fits your target audience can come before someone who only liked a general-interest post. The final priority depends on how recent and relevant the signal is and how well the person fits your target audience.

Play 1: People who have visited your profile

A profile visit is often the warmest signal you can get before someone contacts you directly.

Someone chose to find out more about you. They may have seen a post or an ad, received a recommendation or a message, or heard your name somewhere else.

You will not always know why they visited. You do know that they were curious enough to click through.

How to do it manually

Regularly review who’s visited your LinkedIn profile. Focus on recent visitors first, because the signal becomes less useful over time.

Then review each person:

• Do they have a relevant job title?
• Do they work at the right type and size of company?
• Is the company in the right industry and location?
• Are they already a customer, involved in an active deal or someone you’ve contacted recently?

If the signal is strong and the person fits your target audience, prioritize them.

You usually don’t need to mention that you saw their profile visit. Use the signal to decide who to contact and when, but open the conversation around a problem or opportunity that’s relevant to them.

A limitation

Play 2: People who engage with relevant posts

When someone comments on or reacts to a relevant post, they’re showing that the topic caught their attention.

The post doesn’t have to come from a direct competitor. Useful sources include:

• Competitors
• Providers of complementary products or services
• Industry experts
• Trade publications
• Leaders and subject-matter experts at your own company

The profiles and company pages you follow determine who you find. Choose sources where your target audience actually engages.

How to do it manually

Choose three profiles or company pages your ideal customers are likely to engage with. Start small. Expand the list when you learn which sources bring relevant prospects.

Review their new posts daily or a few times a week. When a post touches on a problem you help solve, look at who’s commented or reacted.

Not all engagement carries the same weight:

1. A relevant comment is usually the strongest signal.
2. A reaction to a specific, relevant post is a clear but weaker signal.
3. A simple like on a general-interest post tells you much less.

Next, filter for people who fit your target audience. Check their title, seniority, company, industry and location. Exclude existing customers, irrelevant contacts and people someone is already contacting.

You don’t need to mention the exact post they engaged with. Coming from a stranger, that can quickly feel intrusive rather than relevant. Instead, let the engagement guide your timing and start a conversation about the problem you solve.

Play 3: People who follow your company page

Your company page already has an audience of people who know about your business or are curious about it. Most people never use that follower list as a source of prospects.

A follower isn’t automatically a potential customer. The list can include employees, former colleagues, suppliers, competitors, students and people outside your market. That’s why the fit check matters just as much here as it does in the other plays.

A follower who fits your target audience is usually warmer than a completely cold prospect with a similar profile.

How to do it manually

If you manage the company page, you can open it and review who’s following the business.

There are two useful ways to work with the list:

1. Review all followers: Find relevant people who have followed the business for a while but have never been contacted.
2. Prioritize the newest followers: Find people whose interest is recent, giving you a more timely reason to act.

Go through the followers and check who fits your target audience. Start with the newest, but also use the existing follower base to find relevant people you haven’t contacted yet.

As with profile visits, you usually don’t need to open by saying you’ve noticed they follow the company. The signal should improve your targeting and timing, not make your message uncomfortably specific.

Play 4: Existing connections in your target audience

You are probably already connected to potential customers on LinkedIn who you have never had a real business conversation with.

Networks grow over several years. People change roles, start companies and take on new responsibilities. Someone who wasn’t relevant when you first connected could be a perfect fit for your target audience today.

An existing connection isn’t a fresh behavioral signal in the same way as a profile visit or a comment. It’s an established way to reach someone. You already have that access, but you still need relevance and a good reason to start a conversation.

How to do it manually

Use LinkedIn’s people search and filter for first-degree connections, meaning people you are already connected to. Narrow the search by criteria such as:

• Job title
• Location
• Industry
• Current company

Build several focused searches instead of trying to work through your entire network at once. Check who fits your target audience and exclude existing customers, people involved in active deals, irrelevant contacts and anyone you’ve contacted recently.

Prioritize connections where there’s also a fresh reason to reach out. They may have started a new role, published something relevant, engaged with a topic or visited your profile.

An existing connection gives you access. A recent signal gives you a reason to act now.

How to prioritize signals

When several people fit your target audience, weigh up four factors:

1. How strong is the signal?

A profile visit or a relevant comment shows more active curiosity than a long-standing connection alone.

2. How recent is the signal?

A visit today is usually more useful than the same visit two weeks later. Signal-based outreach works best when you act while the topic or the person’s impression of you is fresh.

3. How specific is the signal?

A comment on a post about the exact problem you solve is a stronger signal than a general reaction to a broad motivational post.

4. How well does the person fit your target audience?

A strong signal from the wrong person is still the wrong person. Fit with your target audience should carry the most weight.

A simple starting order is:

1. A recent profile visitor who fits your target audience
2. Someone in your target audience who commented on or reacted to a relevant post
3. A new company follower who fits your target audience
4. An existing connection who fits your target audience

More recent and specific signals can change that order. A new company follower in the right audience can matter more than a simple like. A specific comment about the problem you solve can matter more than someone who has followed the business for a long time.

Combine signals where you can. An existing connection who also visits your profile may be warmer than someone who has only left a single comment.

How to run the system manually

You don’t need to start with all four plays at once.

Choose one signal and build a routine you can repeat:

• Review new signals
• Check that each person fits your target audience
• Prioritize the most recent and relevant
• Start a relevant conversation
• Follow up consistently
• Keep track of who you’ve already contacted

When the routine works, add another signal.

The outreach itself doesn’t need to be complicated. You can use LinkedIn, email or a combination of channels. What matters is that the signal guides who you contact and when, while your message focuses on a problem or opportunity that’s relevant to them.

Why the manual approach becomes hard to scale

None of this is magic. You can run the entire system manually with LinkedIn, a spreadsheet and enough discipline.

The challenge is keeping it going.

Profile visitors need reviewing while the signal is fresh. New posts and comments appear every day. Your follower list changes. Your network grows and people change roles. At the same time, each person needs to be checked against your targeting criteria and your previous outreach.

As the number of sources and signals grows, several problems quickly emerge:

• You miss signals over weekends, holidays and busy workdays
• You spend time on people who don’t fit your target audience anyway
• The same person appears across several sources
• It becomes hard to keep track of customers and prospects you’ve already contacted
• Signals go cold before you act
• Follow-ups slip through the cracks

You can run the playbook manually. It becomes difficult to scale when one person has to handle every step, every day.

How Vaam picks up the signals you’d otherwise miss

Vaam automates the same method and keeps the same logic.

You choose which signals to monitor and define your target audience. Vaam then finds new prospects and reviews each person before any outreach begins.

You can filter by criteria such as:

• Job title
• Company size, using LinkedIn’s employee-count ranges
• Industry
• Country

You can also exclude specific titles, industries and keywords.

Only people who match your criteria move forward. Vaam can add them to a sequence automatically or place them in a review queue for your approval.

The same system for all four signals

Vaam can use each of these signals as a starting point:

• Profile visitors: The agent reviews new, identifiable profile visitors at your chosen frequency and checks them against your targeting criteria.
• Relevant engagement: Vaam monitors selected profiles and company pages, finds people who comment or react, and filters for relevant prospects.
• Company followers: Vaam can review both the full follower base and the newest people following your company page.
• Existing connections: You run a focused LinkedIn search among your first-degree connections and paste the search URL into Vaam to work through the results.

The method stays the same, whatever the source:

Signal → fit check → prioritization → outreach → follow-up

Most people you find may not be worth contacting

It is easy to focus on how many people a signal can uncover. The useful number is how many are relevant.

During June and August 2026, when our own signal-based outreach was active, our Vaam agent reviewed more than 2 100 people. Of those reviewed, 37% matched our targeting criteria and moved forward.

That means more than 1 300 people who weren’t a fit were filtered out before any outreach began.

This is why you should never use signals without clear targeting criteria. More activity isn’t the goal. More relevant conversations are.

A sequence that runs without manual work for every prospect

Once the right prospects have been identified, Vaam can automatically start a sequence that combines LinkedIn, email and auto-personalized videos.

You don’t need to create or record anything new for each person. Vaam personalizes and sends the videos automatically as part of the sequence.

That does not remove the human part. It gives you more time for the conversations where your involvement matters.

When the signal gets warmer, you step in

Vaam handles the repetitive groundwork and brings you in when you are needed.

Vaam monitors incoming replies and assesses how to handle them:

• No reply: Follow-up continues automatically according to your chosen sequence.
• A clear no: The sequence stops automatically. No more messages are sent in that sequence, and you don’t need to spend more time on the person.
• A positive reply: Vaam can create a task and bring you in to take over the conversation.

You can also get a task when someone chooses to watch a short video that Vaam created and sent on your behalf.

When you step in, you already know that:

• The person fits your target audience
• There has been a relevant signal
• They’ve been contacted
• They’ve shown further interest through their actions

You take over when the opportunity for a relevant conversation is strongest.

Stay in control without duplicates or unnecessary outreach

Automation should not mean contacting the same person over and over again.

Vaam uses several safeguards:

• The same person can’t be added to the same sequence twice
• You can set a waiting period before someone can be contacted again
• Blocklists can exclude people who should never be contacted
• CRM integrations can exclude existing customers and people involved in active deals
• A manual approval step can be added before the sequence starts

You set the criteria and the level of control. The agent handles the repetitive work.

A measured, human pace

Vaam is built for relevance and control, not aggressive mass messaging. Activity happens at a measured pace, and the sequence stops when someone gives a clear no. You decide the criteria and frequency, and choose when to review a prospect manually.

Start with one signal

Choose the signal you already have the easiest access to.

If your profile gets plenty of activity, start with profile visitors. If your target audience gathers around a few industry experts, start with their posts. If your company page has lots of followers, review them. If you’ve spent years building your network, search your existing connections.

Use the method manually and see who you find. When you know a signal works, automate its monitoring, review and follow-up.

LinkedIn is already showing you who to contact. Your job is to spot the signal, identify the right person and act while the timing makes sense.

See if Vaam is right for you

• Answer three short questions. It takes about 15 seconds.
• Find out right away whether Vaam is a good fit for your target audience and market.
• If the test shows Vaam is right for you, you’ll also get free access to AI agent templates, ready-to-use sequences and suggested copy.