How to Find Decision Makers on LinkedIn with Sales Navigator (5 Filters That Work)

LinkedIn Sales Navigator is a premium LinkedIn tool designed for B2B sales professionals to identify and engage qualified decision-makers. It provides advanced filtering capabilities, relationship mapping through Relationship Explorer, real-time buying signal alerts, and integrated CRM functionality to streamline prospect research and outreach workflows.

How to use Sales Navigator to find B2B decision-makers is the most practical question for any founder, consultant, or SDR who wants to stop wasting time on irrelevant LinkedIn contacts. The direct answer: Sales Navigator finds decision-makers by crossing seniority, function, company size, and job change signal filters — and the Relationship Explorer maps who inside the account has the highest chance of responding.

But most people use the tool superficially: search by title, send connections in bulk, wonder why reply rates are low. This guide covers how to use Sales Navigator correctly — with the filters that matter, the right qualification logic, and integration with a cadence flow.

Executive summary:

• Sales Navigator has over 40 search filters — most users apply fewer than 5
• The "Decision-Maker" filter combined with "Changed Jobs in Past 90 Days" is the combination with the highest engagement rate in B2B outbound
• Relationship Explorer shows the shortest path to the decision-maker inside an account — the most underused feature
• Without a post-search cadence flow, Sales Navigator becomes an expensive list without results
• Lead and Account filters operate on different logic — mixing them up is the most common mistake

TL;DR — Quick Reference for Sales Navigator Decision-Maker Filters

If you are short on time, here is the exact filter stack for finding B2B decision-makers in Sales Navigator:

Apply all seven together. The resulting list will be 5–10× smaller than an unfiltered search — and convert proportionally better.

What Is Sales Navigator and What It Actually Does

Sales Navigator is LinkedIn's premium platform for B2B prospecting. It provides advanced filters for people and company searches, buying signal alerts, monthly InMail credits, and the Relationship Explorer — a feature that maps the shortest path to a decision-maker inside a target account.

It is not a mass message-sending tool. It is an account intelligence and decision-maker identification platform. The actual sending still depends on you — or an automation layer on top of it.

Sales Navigator Core vs Advanced vs Advanced Plus

For founders and solo consultants, Core resolves the main prospecting needs. For teams with an active CRM, Advanced Plus eliminates the manual sync overhead.

The pricing difference between tiers is significant — Core runs approximately $99/month per seat, Advanced around $149/month, and Advanced Plus requires a custom quote for enterprise CRM sync. Before upgrading, validate whether the CRM integration alone justifies the cost delta, or whether a third-party sync tool covers the gap.

Lead Filters vs Account Filters — The Distinction Most Users Miss

Sales Navigator has two distinct filter categories. Confusing them is the most common structural mistake — it produces bloated lists with no qualification logic.

Lead filters operate at the individual profile level. They answer: who is this person? Use them to qualify a contact before adding to a list.

Account filters operate at the company level. They answer: is this company a fit? Use them to build a target account list before drilling into contacts.

Lead Filters That Matter for Decision-Maker Searches

• Seniority Level — the primary decision-maker filter
• Function — more reliable than job title for cross-company consistency
• Years in Current Position — useful for identifying recently promoted buyers
• Changed Jobs in Past 90 Days — highest engagement signal in B2B outbound
• Posted on LinkedIn in Past 30 Days — filters for platform-active profiles
• Connections of — targets second-degree connections through a specific person
• TeamLink connections — surfaces warm paths through your team's network
• Geography — region, country, or metro area
• Industry — based on the individual's listed industry (not always their employer's)

Account Filters That Matter for ICP-Based Targeting

• Company Headcount — defines the size tier of your ICP
• Industry — based on the company's primary classification
• Revenue — available in some markets; useful for enterprise targeting
• Growth Rate — flags companies with headcount growth above a threshold
• Technologies Used — shows companies using specific software stacks
• Job Openings — surfaces companies actively hiring in a function (buying signal)
• Recent Leadership Changes — executives who joined in the past 90 days
• Funding Events — companies that recently raised capital

The correct workflow: build an account list using Account filters → then run a Lead search filtered to those saved accounts. This is the account-based marketing approach in Sales Navigator — and it consistently outperforms unstructured lead searches.

Which Lead Filters Actually Identify B2B Decision-Makers

Five lead filters, used in combination, dramatically reduce list noise and improve contact-to-meeting rates. Here is how each one functions and why it belongs in your default stack.

Filter 1 — Seniority Level (the non-negotiable)

Seniority Level is the closest Sales Navigator gets to a native "decision-maker" filter. Set it to: Director, VP, C-Level, Owner, Partner.

What it removes: Managers, individual contributors, analysts, interns. These profiles almost never hold budget authority. Including them in your outreach list inflates volume metrics while suppressing conversion rates.

What it keeps: People with signing authority or direct influence over purchase decisions. At companies with 50–500 employees, this typically maps to VP and Director. At companies above 1,000 employees, C-Level and SVP become the relevant tier.

Common mistake: Including "Senior" as a seniority level. "Senior" in LinkedIn's taxonomy refers to senior individual contributors — Senior Software Engineer, Senior Account Executive — not senior leadership. Adding it bloats the list with non-buyers.

Filter 2 — Function (more reliable than job title)

Job titles are inconsistent across companies. "Head of Growth" at a 10-person startup and "Head of Growth" at a 2,000-person company describe completely different roles and buying power.

Function is LinkedIn's normalized category above title. Options include: Sales, Marketing, Finance, Operations, Information Technology, Business Development, Human Resources, Engineering, Product Management.

Match the Function to who actually buys your product — not who uses it. If you sell a sales engagement platform, filter for Sales and Business Development functions, not just people with "Sales" in their title. The function filter captures VPs of Revenue Operations, Chief Revenue Officers, and Sales Directors who might not have the word "sales" prominently in their listed title.

Stacking note: Seniority Level + Function together define the role archetype you are targeting. Every other filter narrows the universe of that archetype.

Filter 3 — Company Headcount (context for buying behavior)

A VP of Finance at a 15-person startup and a VP of Finance at an 800-person company are different buyers with different budgets, procurement processes, and decision timelines.

Headcount defines the buying context. Set it to the range that matches your ideal customer profile:

Do not apply a single headcount range to all your searches. If your product serves both SMB and mid-market, run two separate searches with different headcount ranges — the messaging and the decision-maker function will differ between them.

Filter 4 — Changed Jobs in Past 90 Days (the highest-signal trigger)

This is the single most impactful engagement signal available in Sales Navigator. A decision-maker who changed roles within the last 90 days is:

• Actively building a new vendor stack
• Not yet locked into existing contracts
• Motivated to prove early results in their new role
• More likely to respond to outreach than tenured counterparts

The behavioral data behind this is consistent across B2B segments: new executives in the first 90 days of a role make more new vendor decisions than at any other point in their tenure. They are solving problems with a fresh budget and a mandate to move fast.

How to use it: Enable "Changed Jobs in Past 90 Days" as a standard layer on every decision-maker search. Then build a separate saved search alert — Sales Navigator will notify you daily or weekly as new people match this trigger inside your target account list. This turns a static list into a live signal feed.

Filter 5 — Posted on LinkedIn in Past 30 Days (activity filter)

LinkedIn has a significant percentage of dormant or low-activity profiles — people who created an account years ago and check it infrequently. Reaching out to them produces low reply rates not because your message is wrong but because they are not on the platform.

The "Posted on LinkedIn in Past 30 Days" filter removes profiles that have not published original content recently. What remains: people who are actively using LinkedIn, which means they will see your connection request or InMail within days rather than weeks.

The nuance: This filter is stricter than it sounds. It looks for original posts, not just likes or comments. A decision-maker who is active on LinkedIn but only engages with others' content will be filtered out. For markets with lower LinkedIn activity rates (e.g., some European or LATAM regions), consider loosening this filter or replacing it with "Active on LinkedIn in Past 90 Days" if that option surfaces in your interface.

7 Advanced Filter Hacks for Sharper Decision-Maker Lists

Beyond the five core filters, Sales Navigator contains several less-obvious combinations that experienced users rely on for higher-precision targeting.

Hack 1 — Boolean Search in the Keyword Field

The keyword field in Sales Navigator supports Boolean operators: AND, OR, NOT, and quoted phrases. Use this to handle title inconsistency across companies.

Example for targeting revenue leaders:

("VP of Sales" OR "Head of Revenue" OR "Chief Revenue Officer" OR "VP Revenue" OR "Director of Sales") NOT "assistant"

This catches the actual decision-maker regardless of how their company formats the title, and the NOT operator removes executive assistants who might use similar language in their titles.

Hack 2 — Save Searches as Alert Triggers

Every filter combination can be saved as a named search with a notification cadence — daily or weekly. When new profiles match your filters (because someone changed jobs, became active on LinkedIn, or joined a target account), Sales Navigator surfaces them automatically.

This converts your filter stack from a one-time list-building exercise into a continuous pipeline feed. Set up five saved searches matching your core ICP segments and check them weekly. You will surface warm prospects before competitors who run manual searches.

Hack 3 — Account List Filter for ABM Precision

Account-based marketing on LinkedIn requires you to confine your lead search to a pre-defined account list. After building your target account list using Account filters, go to Lead filters and apply the "Account List" filter — select your saved account list.

Every lead result will be someone at one of your target companies. This eliminates the geography-industry-headcount stack and replaces it with a curated company list. The tradeoff: you need a strong account list to begin with, or this filter narrows you too aggressively.

Hack 4 — Spotlights Section for Pre-Qualified Warm Signals

Below the main filter panel, Sales Navigator includes a "Spotlights" section with pre-built signal filters:

• Changed jobs in past 90 days (duplicated here for quick access)
• Mentioned in the news — executives with recent press coverage
• Follows your company — warm leads who are already aware of you
• Viewed your profile — people who have shown interest

"Follows your company" and "Viewed your profile" are the two highest-intent signals on the platform. A decision-maker who already follows your company and holds the right seniority and function is not a cold prospect — treat the outreach as warm.

Hack 5 — Years in Current Position for Budget Timing

Decision-makers in their first 12–18 months of a new role are in planning mode. Decision-makers in years 3–5 of the same role are typically entrenched and less likely to change vendors. Use "Years in Current Position" set to 0–2 years to target people in their high-receptivity window.

Combined with "Changed Jobs in Past 90 Days," this creates a layered recency filter: the job change signal catches the most recent movers, and the years-in-position filter keeps people who joined more recently than 90 days ago but have been in role less than two years.

Hack 6 — Technologies Used (Account Filter) for Tech Stack Targeting

If your product integrates with or replaces a specific technology, the "Technologies Used" account filter lets you target companies that already use that stack. This is particularly useful for:

• Integration plays (e.g., targeting HubSpot users if you sell a HubSpot-native tool)
• Displacement plays (e.g., targeting Salesforce users if you offer an alternative)
• Complementary tool plays (e.g., targeting Outreach users if your product enhances their sequence workflow)

Run this as an Account filter first to build a tech-qualified account list, then layer your lead filters on top.

Hack 7 — Job Openings Filter as a Buying Signal

Companies actively hiring for a specific function are usually investing in that function — which means budget is allocated. If you sell sales technology, target accounts with open "Account Executive" or "SDR" roles. If you sell HR software, target accounts hiring HR Managers or People Operations Leads.

Set the "Job Openings" account filter to the function that signals budget in your category. Export that account list, then drill into leads. The people you reach inside those accounts are managing a growing team and actively buying tools to support it.

Relationship Explorer — The Most Underused Feature in Sales Navigator

Relationship Explorer appears on the Account page of any saved company in Sales Navigator. It maps your existing network connections inside the account and identifies the shortest path to any target contact — typically through a mutual connection.

How to Use Relationship Explorer Effectively

1. Open a target account from your saved account list
2. Navigate to the "Relationship Explorer" tab
3. The tool surfaces up to 10 people at that account with the strongest potential connection paths
4. For each person, it shows: mutual connections, shared experiences (past company, school, group), TeamLink connections through your team's network

The strategic use: before sending a cold connection request to a VP, check Relationship Explorer to see if a mutual contact can provide a warm introduction. A warm intro converts at 5–10× the rate of a cold InMail.

TeamLink: Extending Warm Paths Across Your Team

If your organization has multiple Sales Navigator seats, TeamLink aggregates the second-degree connections of all team members and surfaces them in Relationship Explorer. A VP you have no direct connection to might be a first-degree connection of a colleague — TeamLink makes that visible.

For SDR teams, this means the first step before any cold outreach should be a Relationship Explorer check. If a TeamLink path exists, the sequence starts with an internal introduction request rather than a cold message.

How to Build a Decision-Maker List Step by Step

This is the operational workflow — not the filter theory, but the actual sequence of clicks and decisions.

Step 1 — Define Your ICP Parameters Before Opening Sales Navigator

Write down before you log in:

• Target seniority levels (be specific — "VP and above" or "Director and VP only")
• Target functions (max 3)
• Target headcount range (one range per search)
• Target geographies (country or region)
• Target industries (max 5 per search)
• Any signal overlays (job change, active poster, company growth)

Having these defined before searching prevents filter drift — the tendency to keep adding or removing filters mid-search until the list looks big enough.

Step 2 — Build the Account List First

Run an Account search using your ICP parameters. Save the results as a named account list (e.g., "ICP — US SaaS 51-500"). This list becomes the foundation for lead searches.

Target account list size: 200–1,000 accounts is the practical range. Below 200, the lead pool is too small for ongoing pipeline. Above 1,000, the account list is unfocused and difficult to work systematically.

Step 3 — Run a Lead Search Against the Account List

Switch to Lead search. Apply:

• Seniority Level (your defined tiers)
• Function (your defined functions)
• Account List → select the account list from Step 2
• Changed Jobs in Past 90 Days → enabled
• Posted on LinkedIn in Past 30 Days → enabled

Review the result count. A well-calibrated search for a mid-market ICP typically returns 300–1,500 leads. If you get more than 3,000, add the activity filter. If you get fewer than 100, remove the activity filter and widen the geography.

Step 4 — Save the Search and Enable Alerts

Do not export the list and close the tab. Save the search with a descriptive name and set the alert frequency to weekly. Sales Navigator will notify you when new leads match your filters — this is your live signal feed for the week.

Step 5 — Segment the List Before Outreach

Not every decision-maker on the list is at the same stage. Segment before reaching out:

• Tier 1: Changed jobs in past 90 days + follows your company → highest priority, warmest outreach
• Tier 2: Changed jobs in past 90 days → high priority, job-change-triggered messaging
• Tier 3: Active on LinkedIn in past 30 days → standard outreach, value-led messaging
• Tier 4: Remaining profiles → low-touch, longer sequence

Run Tier 1 and 2 first. The engagement rate difference between tiers is significant enough to justify the sequencing overhead.

Post-Search Cadence — Why the List Is Not the Result

Prospecting on LinkedIn fails most often not at the search stage but at the outreach stage. A well-filtered Sales Navigator list converts to meetings only when paired with a structured follow-up sequence.

The Minimum Viable Cadence for Decision-Maker Outreach

Connection acceptance rate benchmarks for cold outreach: 25–35% without a note, 15–25% with a generic note, 35–50% with a highly personalized note referencing a specific trigger (job change, recent post, shared connection).

What to Say to Decision-Makers Who Changed Jobs

The job-change trigger gives you a natural conversation opener that is not about your product:

"Congrats on the move to [Company] — saw you joined as [Title]. Curious what drew you there. We work with a few [function] leaders in [industry] navigating [relevant challenge]. Happy to share what's been working if that's useful."

This is not a pitch. It is an observation plus a low-friction offer. Decision-makers in new roles are receptive to peer insight because they are actively building their operating model.

Common Sales Navigator Mistakes That Kill List Quality

Mistake 1 — Searching by Job Title Instead of Seniority + Function

Job titles are inconsistent. "Director" means different things at a 10-person startup versus a 10,000-person enterprise. Using Seniority + Function gives you normalized, cross-company consistency that title-based searches cannot.

Mistake 2 — Ignoring the "Not" Logic in Boolean Keyword Searches

If you sell to sales leaders but not to recruiting or HR, add NOT "talent" NOT "recruiting" to your keyword field. Without exclusion logic, your list fills with unrelated roles that share vocabulary with your target.

Mistake 3 — Building One Giant List Instead of Segmented Lists

A single list of 2,000 decision-makers treated identically produces generic outreach and low reply rates. Segment by signal strength and run separate sequences per segment. Five lists of 400 outperform one list of 2,000 every time.

Mistake 4 — Not Checking Relationship Explorer Before Sending InMail

InMail credits are limited (50/month on most plans). Spending one on a contact you could have reached through a warm introduction is a wasted credit. Check Relationship Explorer first — always.

Mistake 5 — Treating Sales Navigator as a One-Time Search Tool

The platform's highest value is in saved searches and daily/weekly alerts. Users who run a search, export contacts, and stop there miss the entire signal-feed dimension. The "Changed Jobs" trigger alone, set as a weekly alert, surfaces warm pipeline automatically.

Is Sales Navigator Worth It? ROI Calculation

The direct question: does Sales Navigator justify its cost for your specific situation?

At approximately $99/month for Core (individual seat), the break-even math is straightforward:

• If your average deal value is $5,000 and your close rate from meeting to close is 20%, each meeting is worth $1,000 in expected revenue
• Sales Navigator needs to generate more than 1 incremental meeting per month to pay for itself
• For most active B2B sellers running structured searches and sequences, 3–8 meetings per month is achievable from Sales Navigator-sourced leads

The ROI question is really a usage question. SDRs who use Sales Navigator for 30 minutes per week see minimal return. SDRs who build saved searches, monitor alerts, run segmented sequences, and use Relationship Explorer before every outreach generate measurable pipeline from the tool.

Where Sales Navigator underdelivers: solo founders or consultants doing low-volume, high-ACV sales who already have strong referral networks. In that context, the tool's value is lower than it is for teams running systematic outbound at volume.

Frequently Asked Questions

Can you find decision-makers on LinkedIn without Sales Navigator?

Yes, but with significant limitations. The free LinkedIn search caps results, lacks seniority and function filters, and does not include signal overlays like job changes or activity status. For systematic B2B prospecting at any volume, Sales Navigator is the practical minimum.

What is the best Sales Navigator filter combination for finding B2B decision-makers?

Seniority Level (Director, VP, C-Level) + Function (matched to your ICP) + Company Headcount (your ICP size range) + Changed Jobs in Past 90 Days + Posted on LinkedIn in Past 30 Days. This five-filter stack consistently outperforms simpler combinations in contact-to-meeting conversion.

How many InMails does Sales Navigator include per month?

All current plans (Core, Advanced, Advanced Plus) include 50 InMail credits per month. Credits are restored when an InMail receives a response, so active senders with good reply rates effectively have more than 50 usable credits.

What is Relationship Explorer in Sales Navigator?

Relationship Explorer is a feature on the Account page that maps your network connections inside a target company and identifies the shortest path — through mutual connections or TeamLink teammates — to any contact at that account. It is the most underused feature in Sales Navigator and the most efficient way to convert cold outreach into warm introductions.

How often should I run new searches in Sales Navigator?

Set saved searches as weekly alerts rather than running manual searches repeatedly. Weekly alerts surface new profiles that match your filters as they appear — job changers, newly active accounts, people who joined target companies. Manual re-running of the same search is redundant and misses the time-sensitive signal dimension.

Does Sales Navigator integrate with HubSpot and Salesforce?

Native CRM integration (bidirectional sync) is available on the Advanced Plus plan. Core and Advanced plans offer limited or manual sync. Third-party tools can bridge the gap for Core and Advanced users at lower cost than upgrading to Advanced Plus.

What is the difference between Lead filters and Account filters in Sales Navigator?

Lead filters operate at the individual profile level — they qualify a person. Account filters operate at the company level — they qualify a company. The correct workflow is to build a target account list using Account filters first, then run a Lead search restricted to those saved accounts. Running Lead filters without an account-level qualifier produces unstructured lists with poor ICP fit.

How do I get more connection requests accepted on LinkedIn?

For cold outreach to decision-makers: send without a note (higher acceptance rate than generic notes), personalize when you have a specific trigger (job change, mutual connection, recent post), and view the profile before sending the request. Profile views signal interest before the request arrives and improve acceptance rates by 10–15%.