How to filter LinkedIn post engagers by job title, company size, industry and location

TL;DR: traxy, Teamfluence, Warmlead, Jungler and LinkedIn Sales Navigator can all narrow people by job title, company size, industry and location, but they do it at different points. Jungler adds those fields to every engager and hands the list to your stack, Teamfluence and Warmlead score engagers against an ICP you set, Sales Navigator filters all of LinkedIn's members rather than the people engaging with a post, and traxy checks every engager it finds against your lead criteria, keeps only people at a 50%+ ICP match, and then runs LinkedIn and email outreach to them from your own connected accounts after you approve the campaign. This guide explains how the filters work in traxy, how strict to make them, what to do when a headline doesn't say the role, and where the other tools fit better.

traxy wrote this guide and is one of the tools in it. traxy facts come from the lead criteria docs and qualification docs. Every other tool's description comes from that vendor's own page, linked, checked November 2026. Features change, so confirm with each vendor before you buy.

Which tools can filter LinkedIn engagers by job title, company size, industry, and location?

traxy, Teamfluence, Warmlead and Jungler filter or score the people who engage with LinkedIn posts by job title, company size, industry and location, and LinkedIn Sales Navigator offers the same four filters across all LinkedIn members. traxy is the one that also runs full LinkedIn and email campaigns: only engagers with a 50%+ ICP match become leads, and a campaign you approve contacts them over LinkedIn and email from your own accounts.

The four filters, tool by tool (checked November 2026). Each cell comes from the page linked in the last column.

Two things to check before you buy. First, whether "location" means the person or the company: in traxy it's the person's location, while Teamfluence lists location with its company criteria and Sales Navigator has both. Second, whether the filter decides who becomes a lead or only sorts a list you already exported. That difference shapes the rest of the workflow.

Filter after export, or qualify as they are found?

There are two ways to get from "everyone who liked or commented" to "people worth contacting". You either export every engager and filter the spreadsheet, or you set the filters first and let the tool keep only the people who match as it finds them.

Filter after export. A scraper or export tool gives you every liker and commenter, usually with name, headline and profile URL. You then add title, company size, industry and location from an enrichment source and cut the list down in a sheet or in Clay. This gives you the full raw list, which helps if you want to study a post's audience. The cost is the work in the middle: most people who react to a post aren't buyers, and you enrich and sort all of them before you know which ones matter. Our guide to extracting comments from a LinkedIn post covers those export routes and their risks, and PhantomBuster alternatives for post engagers compares exporting against qualifying tool by tool.

Qualify as they are found. You describe who fits once, and the tool scores each new engager against that description. People who don't fit never reach your list. This is how traxy works: lead criteria decide who fits, and only people at a 50%+ ICP match become qualified leads. You lose the full raw export, and you gain a list that is ready for a campaign.

Pick by what you do next. If the list feeds a data workflow you already run, export and filter. If the list feeds outreach, qualify first so you don't spend connection requests and research on people outside your market.

How do lead criteria work in traxy?

Lead criteria are traxy's ICP: the description of the people and companies you sell to. traxy checks every person it finds against them, and only people who meet your required criteria and score at least a 50% ICP match become qualified leads (qualification docs).

You set criteria in Targeting > Lead criteria, in two groups (lead criteria docs):

• People: roles, departments, seniority and locations. This is where job title lives.

• Companies: size, industry, revenue and funding stage.

Keywords and niches sit with your intent signals, not with fit. That split matters. Lead criteria say who fits. Signals say what evidence you want, such as a post about the problem you solve or a comment on a competitor's post. A relevant post doesn't qualify someone who fails your criteria. We explain the two checks in ICP match score vs signal strength, and how the Signals screen shapes the list in how traxy decides who counts as a lead.

You don't start from a blank form. Enter your company website and traxy drafts your lead criteria and signals, then shows a lead preview. You fix anything that's off before you approve it. You can also change criteria in chat with trax, or from Claude or ChatGPT through the traxy MCP, which reads and updates your ICP (including exclusions) with revision history.

The docs give one piece of advice worth repeating: start with a few requirements that separate real buyers from a broad audience, such as sales leaders at software companies, rather than a long list of unrelated titles.

How to filter LinkedIn engagers in traxy, step by step

Here is the full path, from the people engaging on LinkedIn to outreach. Steps 1 to 5 are the finding half. Steps 6 to 8 are the outreach half.

1. Set your lead criteria. In Targeting > Lead criteria, list the roles, departments, seniority and locations of the people you sell to, and the size, industry, revenue and funding stage of their companies. Add exclusions where needed, review and save.

2. Choose how strict matching is. Pick "Prioritize quality" or "Find more opportunities" (the next section explains both), and mark individual criteria Required or Preferred under Advanced targeting.

3. Pick where the engagers come from. traxy finds people from social intent on LinkedIn: posts, comments and likes about the problem you solve, people who view the profiles of the sender accounts you connect, and engagers on the people, single posts and company pages you add to Tracking. Track a competitor, a creator your buyers follow, your own profile or one post by URL. You can also search 71M+ scanned LinkedIn likes, posts and comments in plain English.

4. Let traxy qualify each engager. Every person is scored against your criteria. Only people at a 50%+ ICP match become leads, each labeled Warm, Related or Activity, with the post, comment or like that put them on your list. One person with several signals still counts as one lead.

5. Filter and save a view. In Leads, filter by people and company fields, ICP match, signal and LinkedIn activity, then save the result as a personal or shared view. A filter-based view updates as matching leads change. Or ask trax, for example "show me warm leads at software companies"; filtering leads you already have in trax doesn't use capacity.

6. Build a campaign on the view. Campaigns use shared views. Give the campaign the view, your offer and the research you need. traxy researches each lead for the facts you ask for, groups leads by signal and prepares a personalized LinkedIn and email message variant for each group.

7. Test, then review the launch. Run the plan on sample leads to check the research and drafts, with nothing sent. Before launch you see who joins, who is skipped (held by another campaign or contacted before), the sender, the steps and the delivery mode.

8. Approve and let it run. Outreach goes out from your own connected LinkedIn and email sender accounts, with limits, active hours and ramp-up you set. Replies, unsubscribes and hard bounces stop the sequence, and every conversation lands in one inbox.

That is how traxy runs your LinkedIn GTM end to end: from high intent leads found through social intent, to enriching and researching each one, to personalized LinkedIn and email outreach to them on autopilot. Autopilot here starts with your approval: you approve the campaign once and it sends on its own, or you choose to approve every message in a review queue. More on the outreach half on the LinkedIn outbound page.

Prioritize quality or find more opportunities: how strict should matching be?

Use "Prioritize quality" when your buyer has a clear title and company size, and "Find more opportunities" when titles vary and you'd rather see more people and sort them by score. The setting is labeled "How strict should trax be?" in Lead criteria (lead criteria docs).

• Prioritize quality: leads must match your chosen job titles, locations and company sizes.

• Find more opportunities: leads must match on location, while titles, sizes and industries only adjust the score.

Both modes check whether the company is a plausible buyer, so loosening titles doesn't open the door to every company.

Some practical cases:

• You sell to one role at one company size, such as heads of sales at 20 to 200 person software companies. Prioritize quality. Every lead matches the title and size, and you skip people you would never contact.

• Your buyer's title varies a lot, such as founders, owners, managing partners and general managers who all buy the same thing. Find more opportunities. Title then raises or lowers the score instead of blocking the lead, and you sort by ICP match in Leads.

• Location is the hard line, because you only serve one region. Both modes hold it: in Find more opportunities, location is the one field leads must match.

A filter on the leads list is a different thing from strictness. Filtering Leads for a higher ICP match narrows what you see. It doesn't change the qualification rules or create more qualified leads.

Required vs preferred criteria, and exclusions

Mark a criterion Required when a lead must match it, Preferred when it should count toward fit without blocking anyone, and add an exclusion when a value should rule people out. All three live under Lead criteria (lead criteria docs).

Required is for the facts that end the conversation if they're wrong. A company too small to pay for your product, or a region you can't serve, belongs here.

Preferred is for the facts that make a lead better but not impossible. Industry is often a good example: you may sell best to software companies, but an agency with the same problem is still worth a look. A Preferred criterion moves the score up or down.

Exclusions rule out titles, locations or company traits you never want. Common ones:

• Titles that look like buyers but sell to them, such as consultants, recruiters or agency owners who comment on every sales post.

• Students and interns, if your offer needs a budget holder.

• Regions you don't sell into.

Check that exclusions don't contradict the values you included. Excluding "agency" while targeting marketing agencies works against itself.

Two more tools sit next to exclusions. The Blocklist excludes company domains, such as existing customers, competitors and their partners, and specific people from future lead discovery. Do not contact stops outreach to specific emails or LinkedIn profiles. Use the Blocklist to keep people off your list and Do not contact to keep them out of your campaigns.

When most of your engagers turn out to be peers rather than buyers, see how to keep other consultants, vendors and recruiters out of your LinkedIn leads.

What happens when a headline doesn't say the role?

Many LinkedIn headlines say "Helping founders scale" or "Building something new" instead of a job title, so a title filter has less to go on. In traxy you handle this three ways: decide how much the title should count, check the fit reasons on the leads you get, and ask a campaign to confirm the role through research on each lead before anyone is contacted.

1. Decide how much the title counts. If your buyers tend to write vague headlines, don't make title the gate. Use Find more opportunities, or mark title Preferred under Advanced targeting, so company size, industry and location carry more of the decision. Keep title Required only when the role is the whole point of the offer.

2. Read the fit reasons. After you save criteria, the docs suggest checking later qualified leads and their fit reasons. If people who don't hold the role keep coming through, tighten the criteria or add an exclusion. When one slips through, mark the lead Bad fit with a reason. That feedback doesn't change the score on its own, but it puts the pattern on record so you can review a targeting change.

3. Confirm the role in the campaign. A campaign researches each lead for the facts you ask for before any message is prepared. Ask it the question the headline didn't answer, such as "does this person run the sales team?" or "how many people work at their company?". If a required research fact isn't found, the lead stays in traxy, and in the campaign you can choose to skip it. You can also run a research-only campaign that records the findings without sending anything.

The reverse problem matters too: a consultant whose headline says "Head of Sales" looks like a buyer on paper. Exclusions in Lead criteria and their company domains on the Blocklist keep them off your list.

Whatever tool you use, open the profile before you write to someone whose role you're unsure of. Every traxy lead links the post or comment behind it, so you can see what they said and when.

Re-checking existing leads after you change criteria

When you change lead criteria, traxy can check your active leads against the new version and offer to move the ones that no longer match to Done. Nothing moves until you confirm (lead criteria docs).

1. Save your new criteria in Targeting > Lead criteria.

2. traxy may offer to check your active leads. Choose "Check leads" to start, or "Keep all leads" to leave them as they are.

3. When the check finishes, review how many leads no longer match.

4. Confirm the move to Done only if you want it. Otherwise choose "Keep them".

A few rules worth knowing. Saving criteria or running a check doesn't move leads by itself. Leads that can't be checked stay where they are. If the count changes, review it again before you confirm. Leads moved to Done stay accessible, so a tighter ICP doesn't delete anything.

This is useful when you narrow your market, for example from all B2B companies to software companies of 20 to 200 people. The new criteria apply to people traxy finds from then on, and the re-check lets you clean up the leads you already have so campaigns and saved views only pick up people who still fit.

What happens after the filter: outreach to the leads who fit?

In traxy, the filtered list goes straight into a campaign that researches each lead and runs LinkedIn and email outreach from your own connected accounts after you approve it. The other tools in this guide mostly hand the list to another tool for sending.

This is the second half of traxy and the reason the filter matters. A tight filter means your research, connection requests and emails go to people who fit:

• Audience: a shared saved view, such as "Heads of sales, software, 20 to 200 people, engaged with a competitor".

• Research on each lead: the facts you ask for, such as their current tool, a recent hire or what their post said.

• Grouping by signal: people who commented on a competitor's post get a different message variant from people who viewed one of your connected sender accounts' profiles.

• Sequences: multi-step LinkedIn and email steps, with waits that can depend on events like a connection being accepted.

• Approval: test on sample leads with nothing sent, review the launch, then let the approved campaign send or approve every message.

• Safety stops: replies, unsubscribes and hard bounces stop the sequence. Campaigns run in priority order, so one lead never gets two campaigns at once.

You can run several campaigns at once on different signals and audiences, by hand in the app, through trax, or from Claude or ChatGPT through the traxy MCP, which waits for your yes in chat before anything sends or launches. If you'd rather send from another tool, routes send a lead view to Clay, Zapier, n8n, Slack or a webhook with an ICP match threshold.

Where other tools fit better

Every fact below comes from the vendor's own page, checked November 2026.

• LinkedIn Sales Navigator fits better if you want to filter all of LinkedIn's members, not only the people engaging with posts. Its filter page lists title, function, seniority level and geography for leads, company headcount, industry and headquarters location for accounts, and "50+ filters" in total, including "Viewed Your Profile Recently" (Sales Navigator filters).

• Jungler fits better if you build lists in Clay or Google Sheets and send from another tool. It turns likes and comments into leads, enriches them with email, region, company size, industry, job title and seniority, and delivers them to Clay, Slack or Sheets (jungler.ai).

• Teamfluence fits better if you want to watch your teammates' profiles and your company page together and push contacts into HubSpot. You set persona criteria (job titles, seniority, roles) and company criteria (industry, size, location), it also covers tracked competitor posts, influencer activity and keywords, and its workflows can create HubSpot contacts, send Slack alerts, fire webhooks to Clay or send connection requests (teamfluence.com).

• Warmlead fits better if you only want scored leads and already send from your own tools. Its ICP covers titles, industries, seniority, company size, function and geography, each lead is scored 0 to 100 and labeled Hot, Warm or Match with a reason, and it syncs to HubSpot, Zoho CRM, Zapier, webhooks, CSV and a REST API. Its FAQ says it doesn't send emails or messages for you (warmlead.co).

traxy fits best when you want the filter and the outreach in one place: engagers checked against your lead criteria, only 50%+ ICP matches kept, then LinkedIn and email campaigns from your own connected accounts that run once you approve them. For a wider list of engagement tools, see the best LinkedIn monitoring tools for finding leads.

FAQ

Can I filter the people who liked a LinkedIn post by job title?

Yes, with a tool that reads the post's engagers. In traxy, track the post by URL (or paste it into trax), and only engagers who match your lead criteria, including role and seniority, come back as leads.

Does traxy filter by the person's location or the company's location?

The person's. In lead criteria, locations sit with the people criteria (roles, departments, seniority, locations), while size, industry, revenue and funding stage are company criteria.

What is the difference between lead criteria and a filter on the Leads page?

Lead criteria decide who becomes a lead. A filter on the Leads page only narrows the leads you already have, for example by people or company fields, ICP match or signal. A higher score filter doesn't create more qualified leads.

What ICP match does a person need to become a lead?

50% or higher, plus your required criteria and buyer fit. Everyone below that stays out of your leads.

Can I exclude competitors and existing customers?

Yes. Add their company domains to Settings > Blocklist to keep them out of future lead discovery, and use exclusions in Lead criteria for titles or company traits you never want.

Can I change my filters from Claude or ChatGPT?

Yes. Through the traxy MCP, your AI client can read and update your ICP, including exclusions, with revision history, and list and filter your qualified leads. Changes wait for your confirmation.

What if I tighten my ICP after I already have leads?

Save the new criteria and choose "Check leads". traxy shows how many active leads no longer match, and you decide whether to move them to Done or keep them.

Does traxy send the outreach or only find the leads?

Both. traxy finds and qualifies the leads, then a campaign researches each one and sends LinkedIn and email outreach from your own connected sender accounts after you test it and approve the launch. You can also approve every message.

Can an agency set different filters for each client?

Yes. An agency can run traxy for its clients or resell it as a managed service, and give each client its own workspace with its own lead criteria, signals, Tracking and campaigns (separate workspace per client).

Related reading

• How traxy decides who counts as a lead

• ICP match score vs signal strength

• How to extract comments from a LinkedIn post

• PhantomBuster alternatives for LinkedIn post engagers

• Can't search LinkedIn by job title anymore?

• LinkedIn outbound with traxy