LinkedIn Advertising Targeting Options: Complete Guide

LinkedIn Advertising Targeting Options: Complete Guide

LinkedIn advertising targeting options set this platform apart from every other advertising platform. While other networks rely on interests and behaviors, LinkedIn lets you reach professionals based on verified data: their actual job titles, employers, industries, and seniority levels.

LinkedIn delivers professional data with real results for B2B marketers: ad budgets increased by 31.7% in the past year precisely because of this precision. No other platform reliably lets you target "Chief Financial Officers at SaaS companies with 500-1,000 employees." This guide to LinkedIn advertising targeting options covers every option and how to use them effectively.

LinkedIn Targeting Overview

LinkedIn advertising targeting options are organized into several categories:

LinkedIn advertising targeting options include these core areas:

• – Demographic Targeting: age and gender
• – Company Targeting: name, industry, size, growth rate
• – Jobs Targeting: title, function, seniority, experience
• – Education Targeting: schools, degrees, fields of study
• – Interest Targeting: member interests, groups, skills
• – Locations Targeting: countries, regions, cities
• – Buyer Group Targeting: buying-committee cohorts
• – Audience Network and Expansion Targeting: reach on partner properties
• – Matched Audience Targeting: retargeting, contacts, ABM lists
• – Predictive Audiences: AI-powered prospect finding
• – Audience Size: minimum 50,000 members recommended for optimal delivery

LinkedIn ads targeting: best practices from these categories let you reach exactly the right professionals. Let's examine each of these LinkedIn advertising targeting options in detail.

AND/OR Targeting Logic

Understanding how LinkedIn combines targeting criteria is essential for building effective audiences. LinkedIn Campaign Manager uses boolean AND/OR logic to determine how your selected facets interact.

How OR Logic Works

When you select multiple options within the same targeting facet, LinkedIn applies OR logic. For example, selecting "VP of Sales" OR "Sales Director" OR "Head of Sales" as job titles means your ad reaches anyone with any of those titles. This broadens your audience within a single category.

OR logic applies within these facets:

• Multiple job titles
• Multiple company names
• Multiple industries
• Multiple skills

How AND Logic Works

When you add criteria across different facets, LinkedIn applies AND logic. Selecting the job function "Marketing" AND seniority "Director" means prospects must match both criteria simultaneously. This narrows your audience by requiring multiple conditions.

Common AND combinations:

• Job function AND seniority level (e.g., "Finance" AND "VP/CXO")
• Company size AND industry (e.g., "501-1,000 employees" AND "Technology")
• Skills AND years of experience (e.g., "Salesforce" AND "6-10 years")

Avoiding AND/OR Mistakes

The most common AND/OR mistake is over-layering conditions until the audience collapses below 50,000 members. Start with two AND criteria, then check the forecasted size before adding more.

If you select a specific job title AND a specific skill AND a specific industry AND a seniority level simultaneously, you may end up with fewer than 1,000 matched members. Audience size must stay above 50,000 for reliable campaign delivery.

Key insight: When layering AND conditions in LinkedIn Campaign Manager, always check the forecasted audience size before adding another criterion. Drop below 50,000 members and delivery suffers significantly.

Location Targeting

Location (required) is the first targeting criterion for every LinkedIn campaign. You can target by:

• Country: Target entire countries
• State/Region: Target specific regions within countries
• City: Target metropolitan areas
• Recent or Permanent: Choose whether to target people who recently visited or permanently live in a location

Location Best Practices

Apply these practices to maximize location targeting effectiveness and avoid wasted spend on irrelevant geographies.

• Use permanent location for most B2B campaigns targeting where prospects work
• Use recent location for events, conferences, or time-sensitive local promotions
• Exclude locations where you don't do business to avoid wasted spend
• Consider time zones when scheduling ads for live events or webinars

Company Targeting

Company targeting is one of the most powerful LinkedIn advertising targeting options for B2B advertisers, especially when developing a LinkedIn advertising strategy that focuses on account-based marketing.

Company Name

Target employees of specific companies by name. This is essential for:

• Account-based marketing (ABM) campaigns targeting named accounts
• Competitive displacement campaigns targeting competitor customers
• Partner co-marketing campaigns

You can upload lists of up to 300,000 company names or select companies manually.

Company Industry

Target all companies within specific industries. LinkedIn offers 148 industry categories, including:

• Technology, Information and Internet
• Financial Services
• Manufacturing
• Healthcare
• Professional Services
• And many more

Company Size

Target based on employee count:

Company Growth Rate

Target companies based on year-over-year employee growth:

• High growth: Companies growing rapidly
• Moderate growth: Steady growers
• Negative growth: Companies reducing headcount

This is valuable for targeting companies likely expanding budgets or those potentially looking to cut costs.

Company Connections

Target people connected to employees of specific companies. Useful for reaching networks of your customers or partners. LinkedIn also uses signals from “People also viewed” browsing patterns to identify similar professionals for lookalike and audience expansion features.

Company Followers

Target people who follow specific LinkedIn company pages—a strong intent signal.

Company Category Targeting

LinkedIn provides curated company lists called Company Categories that group organizations by recognition and prestige. These include Fortune 500 companies, Forbes Most Innovative Companies, S&P 500, and other well-known business lists.

Company Categories are useful for:

• Enterprise-focused campaigns targeting large, established organizations
• Competitive positioning against well-known brands
• Reaching employees at companies with specific reputations or growth trajectories

In Campaign Manager, you can find Company Categories under the Company targeting section. Select one or more categories and LinkedIn automatically targets all employees at companies on those lists. This saves significant time compared to manually uploading hundreds of company names.

Job-Based Targeting

Job targeting is among the most precise LinkedIn advertising targeting options, letting you reach the exact decision-makers and influencers relevant to your offering—which is critical whether you're working with a LinkedIn advertising company or managing campaigns in-house.

Job Title

Target specific job titles like "Vice President of Sales," "Marketing Director," or "Chief Technology Officer."

Important considerations:

• Not all job titles are standardized—search for variations
• LinkedIn aggregates similar titles but may miss some
• Combine with seniority for more precise targeting

According to targeting experts, job titles alone can miss prospects because of title variations. Add job function or seniority filters for better coverage.

Job Function

Target broad functional areas regardless of specific title:

Job function is LinkedIn-inferred based on profile data and activity, providing broader reach than exact job titles.

Seniority Level

Target by organizational level:

Pro tip: Combine job function with seniority for precise targeting. "Marketing + Director/VP/CXO" reaches marketing leaders without specifying exact titles.

Years of Experience

Target based on total professional experience:

• 1-2 years
• 3-5 years
• 6-10 years
• More than 10 years

Useful for reaching either emerging professionals or seasoned decision-makers.

Skills Targeting

Target members based on skills listed on their profiles. Skills indicate:

• Current expertise and focus areas
• Technologies and tools proficiency
• Industry-specific capabilities

Examples:

• "Salesforce" for CRM users
• "Data Analytics" for analytics professionals
• "Supply Chain Management" for operations leaders

Skills targeting works well for reaching professionals with specific technical expertise that job titles alone might miss, particularly when combined with insights from LinkedIn ads reporting to optimize your campaigns.

Interest Targeting

Target based on topics members engage with on LinkedIn:

• Content they interact with
• Groups they follow
• Publications they read

Interest targeting is best for:

• Top-of-funnel awareness campaigns
• Content promotion to relevant audiences
• Expanding reach beyond strict professional criteria

Member Traits Targeting

Member Traits go beyond interests by targeting behavioral patterns LinkedIn observes across its platform. While interests reflect content engagement, traits reflect how members use LinkedIn and their professional behaviors.

Available member traits include:

• Frequent Travelers: Members who indicate travel-heavy roles or update their location frequently. Valuable for targeting road warriors with travel-related B2B services
• Open to Education: Members showing signals of interest in professional development, certifications, or continuing education programs
• Frequent Contributors: Active LinkedIn content creators who post, comment, and share regularly. These members tend to be thought leaders and early adopters
• Desktop or Mobile Heavy Users: Target members based on their primary device usage patterns. Mobile-heavy users may respond better to shorter ad formats

Member traits work best as supplementary targeting layers. Combine them with job function or seniority to create highly specific audiences, such as "Marketing Directors who are frequent contributors" for thought leadership campaigns.

Inferred vs. Declared Attributes

Not all LinkedIn targeting data comes directly from member profiles. Understanding which attributes are declared by members and which are inferred by LinkedIn's algorithms helps you set realistic expectations for targeting accuracy.

Declared Attributes

These come directly from what members enter on their profiles:

• Job title (exactly as typed)
• Company name
• Skills (self-selected and endorsed)
• Education (schools, degrees, fields of study)
• Location (self-reported)
• Profile language

Declared attributes are generally highly accurate because members have a professional incentive to keep their LinkedIn profiles current.

Inferred Attributes

LinkedIn derives these using algorithms and machine learning:

• Job function: Categorized based on job title, skills, and activity patterns
• Seniority level: Estimated from job title keywords, company size, and career progression
• Interests: Derived from content engagement, group memberships, and browsing behavior
• Company industry: Assigned based on the company page classification

Inferred attributes provide broader reach but may occasionally misclassify members. A "Marketing Manager" at a 10-person startup might be inferred as "Manager" seniority when they function more like a director. Use inferred attributes for reach and declared attributes when precision matters most.

LinkedIn Groups

Target members of specific LinkedIn Groups. Groups indicate:

• Professional communities they value
• Topics they actively discuss
• Peer networks they participate in

Best for: Niche B2B audiences who self-select into professional communities.

Education Targeting

Target based on educational background:

Schools

Target alumni of specific universities or institutions. Useful for:

• Recruiting campaigns
• Alumni-focused offerings
• Geographic targeting by college region

Degrees

Target by degree type:

• Bachelor's degree
• Master's degree
• MBA
• PhD/Doctorate

Fields of Study

Target by academic major:

• Computer Science
• Business Administration
• Engineering
• Marketing
• And hundreds more

Demographic Targeting

LinkedIn offers limited demographic targeting:

Age

Target age ranges (18-24, 25-34, 35-54, 55+). Less precise than other platforms due to LinkedIn's professional focus.

Gender

Target by gender when relevant to your offering. Use thoughtfully to avoid unnecessary limitations.

Matched Audiences

Matched Audiences are LinkedIn advertising targeting options that use your own data—essential for retargeting and ABM strategies. Discover matched audiences options in Campaign Manager under Plan → Audiences.

You can build your own audience for your classic ad set using website retargeting, contact uploads, or CRM integrations. When learning how to create LinkedIn ads, understanding matched audiences is crucial for campaign success.

Website Retargeting

Target people who've visited your website:

1. Install the LinkedIn Insight Tag on your site
2. Create audiences based on page visits
3. Segment by specific pages (pricing, product, blog)
4. Set lookback windows (30, 60, 90, 180 days)

Use cases:

• Retarget pricing page visitors with demos
• Re-engage blog readers with related content
• Convert webinar page visitors who didn't register

For detailed implementation guidance, review our LinkedIn Insight Tag guide.

LinkedIn Conversions API (CAPI)

The LinkedIn Conversions API provides server-side conversion tracking as a complement or alternative to the browser-based Insight Tag. As privacy regulations and browser restrictions limit cookie-based tracking, CAPI ensures you maintain accurate conversion data for optimization and retargeting.

Key differences from the Insight Tag:

• Server-side: CAPI sends conversion data from your server, not the browser, making it resilient to ad blockers and cookie restrictions
• First-party data: Uses hashed email addresses and other identifiers for matching, improving attribution accuracy
• Offline conversions: Track conversions that happen outside the browser, such as phone calls, in-store visits, or CRM-recorded deals

For best results, use CAPI alongside the Insight Tag. This dual approach maximizes the conversion events LinkedIn can attribute to your campaigns, improving both retargeting audience quality and campaign optimization algorithms.

Contact List Targeting

Upload email lists to target known contacts:

• Upload CSV files with email addresses
• LinkedIn matches against member profiles
• Typical match rates: 30–70%

Use cases:

• Target existing customers with upsell content
• Reach event attendees with follow-up campaigns
• Activate dormant leads from your CRM

CRM Integration for Matched Audiences

Instead of manually uploading CSV files, you can connect your CRM directly to LinkedIn for automated audience syncing. This keeps your matched audiences current as your CRM data changes.

Supported CRM integrations include:

• Salesforce: Sync leads, contacts, and account lists directly. Audiences update automatically as records move through your pipeline
• HubSpot: Push smart lists and active lists to LinkedIn as matched audiences. Changes in HubSpot propagate to LinkedIn within 24 hours
• Marketo: Sync static and smart lists for always-current targeting based on lead scoring and lifecycle stage

CRM integrations eliminate the lag between data updates and audience changes. For ABM campaigns, this means new target accounts added to your CRM automatically enter your LinkedIn campaigns without manual re-uploads. Most integrations also support bi-directional sync, sending LinkedIn engagement data back to your CRM for lead scoring.

Company List Targeting

Upload lists of target companies for ABM:

• Upload company names or domains
• LinkedIn matches to company pages
• Target all employees at those companies

Use cases:

• Account-based marketing programs
• Named account campaigns
• Partner or ecosystem targeting

Lookalike Audiences

Create audiences similar to your best customers:

1. Upload a source audience (contacts, companies, or website visitors)
2. LinkedIn finds similar professionals
3. Adjust audience size for reach vs. precision

Best practices:

• Use your highest-value customers as the source
• Start with smaller lookalikes (more similar)
• Test expanding gradually for scale

Predictive Audiences

LinkedIn's AI-powered audience creation:

• Based on your conversion data
• Identifies patterns in who converts
• Automatically finds similar prospects

Predictive audiences use LinkedIn's machine learning to find prospects most likely to take action based on your historical campaign performance.

Buyer Group Targeting

Buyer Group Targeting is a newer LinkedIn feature designed for B2B campaigns targeting complex buying committees. Instead of building audiences one facet at a time, buyer groups let you target predefined cohorts of decision-makers who typically collaborate on purchase decisions.

How buyer groups work:

• LinkedIn identifies clusters of professionals within the same company who are likely involved in purchasing decisions for specific product categories
• Groups are defined by combinations of job function, seniority, and department that research shows participate in B2B buying committees
• You select the buyer group category relevant to your product, and LinkedIn handles the targeting logic

When to use buyer groups vs. manual targeting:

• Use buyer groups when selling to enterprise accounts where 6-10 stakeholders influence the purchase decision and you want to reach the full committee
• Use manual targeting when you have specific, well-defined personas and want granular control over each facet

Buyer groups are particularly effective for multi-touch campaigns where you need to build awareness across an entire buying committee before a champion can push the deal forward.

Audience Expansion

Enable audience expansion to let LinkedIn extend your targeting to similar professionals:

Pros:

• Increases reach
• May discover valuable audiences you missed
• Can lower costs by accessing more inventory

Cons:

• Less control over who sees ads
• May dilute targeting precision
• Harder to analyze what's working

Recommendation: Test with expansion off first, then enable and compare performance. Understanding LinkedIn CPM explained can help you make informed decisions about audience expansion.

LinkedIn Audience Network

The LinkedIn Audience Network extends your campaign reach beyond the LinkedIn feed by delivering ads on third-party apps and websites. Your targeting criteria remain the same, but ads appear on partner properties where LinkedIn members browse.

Supported Ad Formats

The types of ads for targeting your advertising on LinkedIn through the Audience Network differ from those available in the main feed. Understanding ad sets and how they impact audience creation helps you choose the right format for each placement.

Not all LinkedIn ad formats work on the Audience Network:

• Supported: Single Image Ads, Video Ads, Carousel Ads (Sponsored Content)
• Not supported: Message Ads, Conversation Ads, Text Ads, Dynamic Ads

Enabling and Managing the Audience Network

The Audience Network is enabled by default for supported campaign types. You can disable it at the campaign level in Campaign Manager under the Placements section. You can also exclude specific categories of third-party sites or apps where you don't want ads to appear.

Performance Considerations

Audience Network placements typically have lower CPCs and CPMs than LinkedIn feed placements, but engagement and conversion rates also tend to be lower. Test as an incremental reach channel, not a primary placement. Monitor placement breakdown to compare feed vs. network performance.

Audience Templates

LinkedIn provides pre-built audience templates for common B2B segments:

• IT Decision Makers
• Small Business Owners
• HR Professionals
• Finance Decision Makers
• Marketing Professionals

Think of these as pre-built frameworks for an audience that means business. Customize each template with additional criteria or exclusions. These templates can be particularly useful for LinkedIn advertising beginners just getting started with the platform.

Targeting Best Practices

LinkedIn's audience targeting options offer precise and powerful audience targeting capabilities. Use these best practices to get the most from your campaigns.

1. Start Narrow, Then Expand

Begin with precise LinkedIn advertising targeting options to validate messaging and offers. Expand audience size once you've proven results.

2. Layer Multiple Attributes

Don't rely on single criteria. Combine:

• Job function + Seniority (not just job title)
• Company size + Industry
• Skills + Years of experience

3. Use Exclusions Strategically

Exclude:

• Your own company employees
• Current customers (unless upselling)
• Job seekers (if targeting decision-makers)
• Competitors (unless intentional)

4. Mind Audience Size

LinkedIn recommends:

• Minimum: 50,000 members for basic campaigns
• Sponsored Content: 300,000+ for optimal delivery
• Message Ads: 15,000+ for testing

Smaller audiences increase CPCs and may limit delivery. Learn more about LinkedIn ads audience size requirements for different campaign types.

Use the Forecasting Tool

LinkedIn's Campaign Manager includes a forecasting panel that updates in real-time as you adjust targeting criteria. The panel shows estimated audience size, projected daily reach, and expected results based on your budget and bid strategy.

The segment breakdown feature within the forecasting tool reveals how your audience distributes across:

• Job functions (what percentage are in marketing, sales, engineering, etc.)
• Seniority levels (mix of entry-level vs. senior vs. executive)
• Company sizes (small business vs. enterprise split)
• Industries (concentration across sectors)

Use these breakdowns to validate your targeting before launch. If your "CMO-focused" campaign shows 60% entry-level members in the segment breakdown, your targeting needs refinement. Aim for audiences between 50,000 and 500,000 members for most Sponsored Content campaigns to balance reach with relevance.

5. Test Audience Segments

Create separate campaigns for different audience hypotheses:

• Job title targeting vs. job function
• Small companies vs. enterprise
• Different industries

Let data guide where to focus spend.

6. Review Campaign Demographics After Launch

After your campaign has been running for at least 7 days, check the Campaign Demographics report in Campaign Manager. This report shows exactly which job titles, companies, industries, seniorities, and locations are engaging with your ads.

Use demographics data to:

• Identify high-performing segments you didn't originally target (potential expansion opportunities)
• Discover underperforming segments consuming budget without converting (candidates for exclusion)
• Validate that your targeting is actually reaching the personas you intended

The demographics report is one of the most underused optimization tools in LinkedIn advertising. Review it weekly during the first month and monthly thereafter to continuously refine targeting based on actual engagement and conversion data rather than assumptions.

Targeting for ABM Campaigns

Account-based marketing requires specific LinkedIn advertising targeting options. According to ABM research, 72% of marketers report substantial engagement boosts from ABM strategies.

ABM Targeting Setup

Configure ABM targeting in Campaign Manager by combining account lists with job-level filters to reach the right stakeholders at each target company.

1. Upload target account list (company names or domains)
2. Layer job criteria on top (seniority, function)
3. Create role-specific ad variations (content for executives vs. practitioners)
4. Measure account engagement not just individual leads

ABM Best Practices

Follow these practices to maximize account engagement and pipeline impact when running LinkedIn ABM campaigns.

• Target multiple stakeholders at each account
• Create content for different buying stages
• Coordinate with sales on account prioritization
• Track engagement at the account level

Many organizations partner with LinkedIn lead generation companies to execute sophisticated ABM strategies that maximize targeting precision.

Common Targeting Mistakes

Misusing LinkedIn advertising targeting options is one of the fastest ways to waste budget. Here are the most common errors to avoid.

1. Over-Targeting

Adding too many criteria shrinks audiences to unusable sizes. If your audience is under 20,000, remove criteria.

2. Under-Targeting

Targeting "all marketers" wastes budget on irrelevant prospects. Add company size, seniority, or industry filters.

3. Ignoring Exclusions

Failing to exclude your own employees, competitors, or wrong-fit companies inflates reach without value.

4. Title-Only Targeting

Job titles vary wildly. "Head of Marketing" might be a VP at one company and a manager at another. Add seniority filters.

5. Not Testing Audiences

Running a single audience indefinitely leaves performance gains on the table. Test variations regularly, drawing inspiration from successful LinkedIn ads examples across different industries.

How Targeting Affects LinkedIn Ad Costs

Your LinkedIn advertising targeting options directly impact what you pay per click and per impression on LinkedIn. Understanding this relationship helps you balance precision with budget efficiency.

Audience Size and Cost

Smaller, more specific audiences generally cost more because fewer impressions are available, increasing competition among advertisers targeting the same people. Audiences under 50,000 members often see CPCs 30–50% higher than broader audiences.

Premium Audience Segments

Certain targeting combinations are in high demand across advertisers, driving up costs:

• C-suite targeting: CXO seniority at enterprise companies typically commands CPCs of $15–$25+
• Technology sector: Tech industry targeting often runs 20–40% above average due to heavy advertiser competition
• IT decision-makers: One of the most competitive segments on LinkedIn

Balancing Precision and Cost

Strategies for managing targeting costs:

• Use job function + seniority instead of exact job titles (broader match = lower CPC)
• Target multiple company sizes rather than enterprise-only
• Test audience expansion to access lower-cost inventory while maintaining relevance
• Consider off-peak scheduling (weekends and evenings) for lower competition

Most B2B LinkedIn campaigns see CPCs between $5–$15, with CPMs ranging from $30–$80. Premium audiences can push CPCs above $20 and CPMs above $100. Monitor cost metrics weekly and adjust targeting if costs exceed your target customer acquisition cost.

Key Takeaways

The most important principles for using LinkedIn advertising targeting options effectively.

• LinkedIn advertising targeting options are built on verified professional data, unlike interest-based platforms
• Use OR logic within facets (multiple job titles) and AND logic across facets (title + seniority)
• Target audiences of 50,000+ members for optimal delivery; aim for 300,000+ for Sponsored Content
• Layer job function + seniority instead of exact job titles for broader, more accurate reach
• Use Matched Audiences for retargeting, ABM, and CRM-synced contact targeting
• Review Campaign Demographics weekly during the first month to continuously refine targeting

Conclusion

LinkedIn advertising targeting options give B2B marketers unmatched precision to reach specific decision-makers, buying committees, and target accounts. Whether you leverage demographic targeting, matched audiences, or predictive audiences, the key is layering criteria strategically to build audiences that are both large enough to deliver and precise enough to convert.

Start with the LinkedIn advertising targeting options most relevant to your ideal customer profile, test audience variations, and use the Campaign Demographics report to continuously refine your targeting based on actual performance data.

Cost benchmark: Most B2B LinkedIn campaigns see CPCs of $5–$15 and CPMs of $30–$80. Targeting C-suite executives at enterprise companies can push CPCs above $20 and CPMs above $100.

Frequently Asked Questions

Common questions about LinkedIn advertising targeting options, audience sizing, costs, and best practices.

What'S the Minimum Audience Size for LinkedIn Ads?

LinkedIn recommends a minimum of 50,000 members for most campaign objectives. For optimal delivery, aim for 300,000+ for Sponsored Content campaigns. Smaller audiences can work but may see limited delivery and higher costs.

Should I Use Job Title or Job Function Targeting?

Use both strategically as part of your LinkedIn advertising targeting options. Job titles are more precise but may miss variations. Job function is broader and catches more relevant people. For best results, combine job function with seniority level rather than relying on exact titles alone.

How Accurate Is LinkedIn'S Company Data?

LinkedIn's company data is generally accurate because it's member-reported and verified against company pages. However, company size may lag recent changes, and some employees at large companies may be miscategorized to subsidiaries or parent companies.

Can I Target by Company Revenue?

LinkedIn offers company size by employee count, not revenue. For revenue-based targeting, use third-party data enrichment to build company lists of revenue-qualified accounts, then upload as a matched audience.

How Does AND/OR Targeting Logic Work on LinkedIn?

LinkedIn uses OR logic within a targeting facet (selecting multiple job titles targets anyone with any of those titles) and AND logic between different facets (selecting job titles AND seniority means prospects must match both criteria). This lets you broaden within categories while narrowing across them.

Which LinkedIn Targeting Attributes Are Inferred vs. Declared?

Declared attributes come directly from member profiles: job title, skills, education, and company name. Inferred attributes are derived by LinkedIn's algorithms: job function, seniority level, and some interest categories. Inferred attributes provide broader reach but may be less precise than declared data.

How Does Targeting Affect LinkedIn Ad CostS?

Narrower, more competitive audiences (like C-suite executives at enterprise companies) typically have higher CPCs and CPMs because more advertisers compete for those impressions. Broader targeting lowers costs but may reduce relevance. Most B2B campaigns see CPCs between $5 and $15, with premium audiences exceeding $20 per click.

What Is the LinkedIn Audience Network?

The LinkedIn Audience Network extends your ad reach beyond the LinkedIn feed to third-party apps and websites. It uses the same targeting criteria but delivers ads on partner properties. Enable or disable it at the campaign level; LinkedIn recommends testing it for incremental reach.

Does LinkedIn Allow Targeting by Income?

LinkedIn does not offer direct income-based targeting. However, you can approximate income targeting by combining seniority level (Director, VP, CXO) with company size and industry. For more precise income targeting, build a matched audience from third-party data providers that segment by estimated income ranges.

Related: Linkedin Video Ads Guide