LinkedIn Sales Navigator has dozens of filters, but most B2B researchers only need to master five to find accurate decision-makers consistently. Here's exactly which ones I rely on for nearly every project, regardless of industry.

1. Seniority Level

Instead of guessing job titles, I filter by seniority level โ€” Director, VP, CXO, etc. This catches decision-makers even when their exact title varies by company (some call it "Head of Sales," others "VP of Revenue").

2. Company Headcount

Company size filters help match the right buyer persona to the right company stage. A 10-person startup and a 5,000-person enterprise have completely different buying processes โ€” and different people in charge of the budget.

Company SizeTypical Decision-Maker
1โ€“50 employeesFounder / CEO
51โ€“200 employeesDirector / Head of Department
201โ€“1000 employeesVP / Senior Director
1000+ employeesCXO / SVP

3. Function (Department)

Combining seniority with department (e.g., "Sales," "Marketing," "IT") narrows results dramatically. This is especially useful for niche services where the buyer sits in a specific department, like IT Services or Marketing Agencies.

4. Geography

Geography filtering isn't just about country โ€” Sales Navigator lets you target specific metro areas. For US-based campaigns, I often filter by state or metro region to match a client's service area exactly.

"The best filter combination is the one that mirrors how your client's own sales team already segments their market."

5. Posted Content / Recent Activity

This filter is underused. Finding decision-makers who recently posted about hiring, expansion, or relevant pain points often signals active buying intent โ€” these contacts tend to respond better to outreach.

A note on credits

Sales Navigator has a monthly search credit limit. Combining these five filters tightly from the start avoids wasting credits on broad searches that return thousands of irrelevant results.

Putting It Together

The real skill isn't knowing these filters exist โ€” it's combining them in the right order for each client's specific market. I usually start broad (industry + geography), then layer in seniority and function, and finish with company size to land on a precise, high-quality list.