LinkedIn Ads Targeting Guide: Job Titles vs Functions

You want to target "Marketing Managers." So you select "Job Title: Marketing Manager." Congratulations. You just missed 60% of your audience. Why? Because people call themselves: "Growth Hacker." "Head of Demand." "Brand Lead." "Chief Storyteller." LinkedIn's Job Title database is chaotic. To build a scalable B2B audience, you must stop using Job Titles and start using Job Functions.
The Matrix Strategy: Function + Seniority
This is the gold standard for LinkedIn targeting.
Instead of guessing titles, you target the role.
The Formula:
Job Function (Marketing) + Seniority (Manager, Director, VP, CXO)
Why it works:
- Coverage: It captures every variation of the title (Manager, Lead, Head, Principal).
- Cost: It is often cheaper than specific high-competition titles.
- Scale: It allows you to target 500,000 users instead of 50,000.
The Exception: The "Niche Title"
When should you use Job Titles? Only when the role is extremely specific and not covered by a general function.
- Example: "Radiologist." (Function: Healthcare is too broad).
- Example: "Kubernetes Engineer." (Function: Engineering is too broad).
The Hidden Gem: Member Skills
Targeting by Skill is underutilized.
- Scenario: You sell CRM software.
- Targeting:
- Function: Sales.
- Skill: Salesforce, HubSpot, CRM.
- Insight: Users who list specific software as a skill are often the power users or decision-makers for that software.
The Poison Pill: Audience Expansion
NEVER check the "Enable Audience Expansion" box. LinkedIn will say: "We will reach people consistent with your target." Translation: "We will show your ad to your target's retired uncle because he liked a business post once." It dilutes your audience and wastes budget. Turn it off.
Summary
LinkedIn Ads are expensive ($150+ CPM). You cannot afford waste. Stop guessing titles. Use the Function + Seniority matrix to ensure you hit every decision-maker, regardless of what they call themselves on their profile.

About the Author
Performance marketing specialist with 6 years of experience in Google Ads, Meta Ads, and paid media strategy. Helps B2B and Ecommerce brands scale profitably through data-driven advertising.
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