You finally figured out your ICP.
Now you’re stuck clicking through LinkedIn profiles one by one, trying to find people who actually fit.
So you open LinkedIn Sales Navigator.
In theory, it should make prospecting easy. In reality, the filters and Boolean logic feel overwhelming and most people don’t know how to use them properly.
This blog fixes that.
By the end, you’ll know exactly how to narrow down high-intent prospects using Sales Navigator, without guessing or wasting time.
We’ll cover:
Before you touch a single keyword or Boolean string in Sales Navigator, you need to understand one thing:
Everything starts with filters and there are two completely different types from the very first screen.
Most people mess this up by mixing intent. They search for leads using company logic, or companies using people logic and then wonder why results feel noisy.
Sales Navigator is powerful only when you pick the right lane first.
If you want to sell to buyers, start with Lead filters.
If you want to build a target list of accounts, start with Account filters.
Here’s a high-level view of how the filters are divided:
| Lead Filters | Account Filters |
|---|---|
| Job Title | Company Headcount |
| Job Function | Industry |
| Seniority Level | Company Revenue |
| Geography | Company Location |
| Years in Current Role | Company Growth |
| Posted on LinkedIn | Technologies Used |
| Profile Language | Account Lists |
| Keywords |
Understanding this split upfront saves time, avoids messy searches, and helps you build repeatable prospecting systems instead of one-off searches.
Lead filters are where most good outbound starts and where most bad outbound quietly dies.
These filters help you narrow down who you’re actually trying to talk to. Not “everyone in SaaS.” Not “anyone with Manager in the title.”
Real people, in real roles, with real buying context.
Below are the core Lead Filters you should understand and how to use each one properly.
Job Title is the first filter most people use in LinkedIn Sales Navigator and the one most people misuse.
The core mistake is assuming job titles are standardized across companies.
They’re not.
A “Head of Growth” at a 10-person startup might be executing day-to-day tasks.
A “Marketing Manager” at a 1,000-person company might own a large budget and manage multiple teams.
Titles describe labels.
They rarely describe scope, authority, or buying power.
That’s why searching for one exact title almost always narrows your ICP too early.
Strong outbound teams think in title clusters, not single titles.
Instead of targeting:
They expand to:
This accounts for differences in:
How to use Job Title effectively:
Common mistakes to avoid:
Job Title should help you enter the right conversation, not prematurely decide who the buyer is. Precision comes from layering, not restriction.
Seniority answers a different question than job title:
How close is this person to an actual buying decision?
B2B deals are rarely decided by a single role.
They move through people with different levels of influence.
Typically:
Sales Navigator’s seniority filter helps you choose where in that chain you want to engage.
Common seniority levels include:
Most people default to CXOs because it feels logical.
In practice, that often leads to lower reply rates and longer sales cycles.
CXOs:
Managers and Directors:
How to use seniority well:
Examples:
Seniority isn’t about hierarchy.
It’s about who has enough urgency, context, and incentive to move a deal forward.
Function tells Sales Navigator which department someone belongs to.
This filter exists because job titles repeat everywhere.
“Manager” exists in:
Without function, your search quietly fills with irrelevant leads.
Function is how you make sure you’re talking to the right Manager not just any Manager.
Common functions include:
If your product solves a marketing problem, function should never be optional.
How strong teams use Function:
Function becomes especially important when:
A Director of Engineering and a Director of Marketing may share a title, but their priorities, language, and buying triggers are completely different.
Function ensures your message lands in the right mental context.
And relevance is what drives replies.
Geography is one of the most misunderstood filters in LinkedIn Sales Navigator, and it’s usually because people think it’s just a location selector.
Choose a country. Move on.
That’s the wrong mental model.
Geography isn’t about where someone sits. It’s about how they buy, how fast they move, and how much friction exists in their decision-making process.
Buying behavior changes dramatically by region, even when the job title stays the same.
A Director of Marketing in the US is often comfortable making fast decisions, taking demos quickly, and pushing tools through with minimal internal process. Speed is rewarded. Momentum matters. “Let’s test it” is a common default.
That exact same Director title in Europe may require legal review, compliance checks, security validation, and multiple internal approvals before anything moves forward. The buyer isn’t slower because they’re uninterested. They’re slower because the system demands it.
Same role.
Different reality.
Geography influences far more than most teams account for, including:
This is why strong teams don’t run one global Sales Navigator search and call it a day.
Instead, they segment deliberately.
How strong teams use Geography:
For example:
Advanced teams often duplicate the exact same lead search and change only the geography. The ICP stays the same. The context changes.
Geography isn’t a checkbox.
It’s a relevance multiplier.
Years in Current Role is a timing signal hiding in plain sight.
This filter doesn’t tell you who someone is.
It tells you how likely they are to question the status quo.
People don’t evaluate new tools randomly. They evaluate tools when their environment changes. And nothing changes someone’s environment faster than stepping into a new role.
Someone who joined recently is usually in audit mode.
They’re reviewing what already exists, asking why decisions were made, and looking for opportunities to make visible improvements. Early wins matter because credibility is still being built.
Someone who joined recently is often:
On the other hand, someone who has been in the same role for five or more years is usually operating from a different place.
They’ve likely:
That makes change feel riskier, not exciting.
Someone long-tenured is often:
Typical behavior by tenure looks like this:
This filter becomes extremely powerful when layered with signals like:
If you sell transformation, efficiency, enablement, or cost reduction, Years in Current Role should be a default filter, not an afterthought.
Best practice: adjust your messaging to acknowledge the new role. People early in a role don’t want long roadmaps. They want momentum and proof they made the right move.
Timing doesn’t replace relevance.
But it amplifies it.
This filter answers one brutally practical question:
Is this person actually active on LinkedIn?
Sales Navigator includes millions of profiles. Many of them look perfect on paper. Great titles. Strong companies. Clean profiles.
But the person hasn’t posted, engaged, or even meaningfully logged in for months.
This filter removes those leads.
You can target people who have posted within the last:
That single constraint can dramatically change outreach performance.
Active users behave differently.
They:
Someone who posts regularly is already in conversation mode. They’re sharing opinions, reacting to ideas, and participating in public discussions. That makes outreach feel contextual instead of intrusive.
How strong teams use this filter:
This filter works especially well when combined with:
If someone hasn’t posted in a year, it’s not a copy problem.
They may not check LinkedIn often.
Notifications won’t save you.
Automation won’t fix inactivity.
Activity is leverage.
When reply rates matter, this filter should always be on.
Profile Keywords is one of the most powerful lead filters in Sales Navigator and one of the most underused.
This filter searches inside how people describe their work, not how LinkedIn categorizes them.
It scans:
That’s where intent lives.
Titles lag reality.
Profiles reveal focus.
Someone may be a “Marketing Manager” by title, but their profile might talk extensively about PLG, demand generation, RevOps, or AI experimentation. That tells you far more than a title ever will.
Why Profile Keywords matter:
Examples of high-signal keywords:
How strong teams use this filter:
For example, searching for “CRM” alone is noisy.
Searching for “RevOps” + Marketing Function is focused.
This filter is especially effective when:
Profile Keywords help you target people who already think about the problem you solve.
And that’s where relevance starts.
Account filters help you decide which companies are worth your time before you ever look at individual people.
Instead of asking “Who should I message?”, account filters force a better question first:
“Which companies actually make sense for us to sell to?”
When used correctly, these filters eliminate bad-fit accounts early and make every downstream lead search sharper.
Company Headcount is one of the most important account filters because it directly reflects complexity, budget, and buying behavior.
A 10-person company does not buy like a 500-person company.
And a 500-person company does not buy like a 5,000-person one.
Headcount influences:
How to think about headcount segments:
Strong teams don’t treat headcount as a vanity metric. They use it to align:
Best practices:
Company Headcount isn’t about size for the sake of size.
It’s about selling into the right level of organizational pain.
Industry filtering helps you control context.
The same product can land very differently depending on the industry you’re selling into.
A SaaS company, an eCommerce brand, and a healthcare organization may all share the same job titles but their priorities, language, and buying triggers are completely different.
Industry affects:
Why Industry matters:
Many teams make the mistake of going too broad early.
They target “All industries” and wonder why messaging feels generic.
Strong teams do the opposite.
How to use Industry effectively:
For example:
Industry filtering isn’t about limiting opportunity.
It’s about earning relevance faster.
Company Revenue helps you estimate buying power and deal expectations before outreach ever begins.
Revenue isn’t perfect data but it’s directionally useful.
A $2M ARR company and a $200M revenue company don’t evaluate tools the same way, even if they have the same headcount.
Revenue influences:
Typical revenue-based patterns:
Strong teams use revenue to:
Best practices:
Revenue filtering helps you avoid two common mistakes:
Company Revenue isn’t about exclusivity.
It’s about selling at the right altitude.
Company Growth is one of the strongest context filters inside Sales Navigator.
It helps you identify when a company is most likely to buy not just if they could buy.
Growth creates pressure.
When a company is hiring fast, expanding teams, or scaling operations, existing tools and processes start to break. What worked at 20 employees feels painful at 60. What worked at 100 feels brittle at 300.
That pressure creates buying intent.
Why Company Growth matters:
Sales Navigator typically shows growth based on employee count trends over time. While it’s not perfect, it’s directionally useful.
How strong teams use Company Growth:
For example:
Company Growth doesn’t guarantee urgency but it increases the probability that something feels broken internally.
And broken systems get fixed.
Account Lists are where Sales Navigator shifts from searching to strategy.
Instead of running one-off searches, Account Lists let you group, track, and prioritize companies intentionally.
Think of them as your working shortlists not static databases.
Why Account Lists matter:
Strong teams don’t build one giant list and forget it.
They create multiple lists based on:
How high-performing teams use Account Lists:
Account Lists are especially powerful when paired with alerts:
This turns Sales Navigator from a search tool into a living system.
Account Lists aren’t about organization for its own sake.
They’re about staying focused on the accounts that actually matter while everyone else chases noise.
Once you understand Sales Navigator filters, the next level is learning how to combine them intelligently using Boolean logic.
Boolean search lets you control precision at scale. Instead of relying on single filters, you define the exact logic Sales Navigator should follow when including or excluding results.
At its core, Boolean uses three operators:
Most people underuse OR and overuse AND.
That’s how searches become too narrow.
How strong teams use Boolean:
For example, instead of searching one title:
You build logic like:
Then layer intent:
Best practices for Boolean in Sales Navigator:
Boolean is especially useful when:
The goal isn’t complexity.
It’s clarity.
When used correctly, Boolean turns Sales Navigator from a static filter tool into a scalable targeting engine one that grows with your outbound motion instead of breaking as volume increases.
LinkedIn Sales Navigator is a prospecting and account discovery tool designed to help sales and growth teams find, filter, and track potential buyers on LinkedIn. It goes beyond basic LinkedIn search by offering advanced lead and account filters, saved searches, alerts, and account tracking so you can target the right people at the right companies more efficiently.
Lead filters are used to find individual people based on role, seniority, activity, and intent signals.
Account filters are used to find companies based on size, industry, revenue, growth, and technology stack.
The key rule is simple: find the right companies first with account filters, then find the right people inside them with lead filters.
The most impactful lead filters are:
When combined correctly, these filters help you target people with both role relevance and buying context, instead of spraying messages to anyone with a matching title.
Boolean search allows you to combine keywords using AND, OR, and NOT operators. It’s most commonly used for job titles and profile keywords.
For example, you can search multiple title variations at once or exclude irrelevant roles. Boolean works best when kept simple and layered on top of filters, not used as a replacement for them.
High-intent prospects usually appear at the intersection of:
Stacking these signals helps you prioritize people who are more likely to reply and take meetings, not just fit your ICP on paper.
Company revenue and growth data in Sales Navigator are estimates, not exact numbers. However, they are directionally useful. When paired with headcount and industry, they provide enough signal to identify whether a company is likely under- or over-qualified for your product and pricing.
You should create multiple focused searches, not one massive search.
Strong teams segment searches by:
This keeps results clean, messaging relevant, and outreach scalable instead of noisy.
Sales Navigator searches should be reviewed and refined at least once every 2–4 weeks.
Titles change, companies grow, people switch roles, and intent signals evolve. Regular refinement ensures you’re not prospecting stale leads or missing new opportunities.

