Linkedin Ads Vs Facebook Ads
TL;DR - Quick Answer
13 min readTips you can use today. What works and what doesn't.
LinkedIn Ads vs Facebook Ads 2025
LinkedIn costs more. Facebook has more users. But which one makes you more money?
It depends on who you're selling to.
Quick Answer: Which Platform Should You Use?
The Numbers at a Glance
LinkedIn costs 5-10x more per click. But that doesn't mean it costs more per sale.
You're selling $50,000 enterprise software to CTOs. LinkedIn CPC is $10, Facebook CPC is $1. Which is likely cheaper per qualified lead?
Audience Comparison
LinkedIn: Professional Context
Who's on LinkedIn:
- 900M+ professionals
- Decision-makers in business mindset
- Higher average income
- B2B purchase intent
Targeting strength:
- Job title (CMO, VP Sales, etc.)
- Company name and size
- Industry
- Seniority level
- Skills
Facebook: Everyone Else
Who's on Facebook:
- 3B+ users globally
- All demographics
- Personal/social context
- Both B2B and B2C potential
Targeting strength:
- Interests and hobbies
- Purchase behaviors
- Life events
- Lookalike audiences
- Retargeting
Targeting Head-to-Head
The pattern: LinkedIn wins for professional targeting. Facebook wins for everything else.
Cost Breakdown
LinkedIn Ads Costs
Typical ranges:
- CPC: $5-12
- CPM: $30-50
- Cost per lead: $50-200+
Why so expensive?
- Smaller audience = less inventory
- Premium professionals = premium prices
- B2B advertisers pay more per lead
Facebook Ads Costs
Typical ranges:
- CPC: $0.50-2.00
- CPM: $5-15
- Cost per lead: $10-50
Why cheaper?
- Massive inventory
- Broad audience
- More advertisers but more supply
The ROI Reality
Don't compare CPC. Compare cost per quality outcome.
Example calculation:
In this example, LinkedIn costs 2x per lead but converts 5x better. Net result: LinkedIn is cheaper per customer.
The lesson: Track the full funnel, not just ad costs.
Your Facebook ads get $1 CPC and your LinkedIn ads get $8 CPC. Same creative, same offer. Which is performing better?
When to Use LinkedIn Ads
Best Use Cases
1. B2B Lead Generation
Target by job title, company size, industry. LinkedIn Lead Gen Forms pre-fill professional info for higher conversion rates.
2. Account-Based Marketing (ABM)
Upload a list of target companies. Reach employees at those specific organizations.
3. High-Ticket Sales ($5K+)
LinkedIn's higher costs make sense when deal size is large.
4. Professional Services
Legal, consulting, financial services. Target by industry and seniority.
5. Recruiting
Reach qualified candidates where they're already in professional mode.
LinkedIn Performance Benchmarks
When to Use Facebook Ads
Best Use Cases
1. B2C E-commerce
Shopping features, dynamic product ads, broad reach. Facebook owns retail advertising.
2. Local Business
Target by location, demographics, local interests. Unbeatable for restaurants, retail, services.
3. Brand Awareness
Lowest CPM means maximum reach. Top-of-funnel awareness at scale.
4. App Installs
Strong mobile optimization and install tracking.
5. Retargeting
Facebook Pixel + dynamic ads = powerful retargeting at scale.
Facebook Performance Benchmarks
Ad Formats Comparison
LinkedIn unique: Document ads (PDF carousels), Conversation ads
Facebook unique: Stories, Reels, Instant Experience, Shop integration
You're launching a new D2C clothing brand. Budget is $2,000/month. Which platform?
Setting Up Campaigns
LinkedIn Campaign Setup
Structure:
- Campaign Group (budget)
- Campaign (objective, targeting)
- Ads (creative)
Key settings:
- Objective: Lead gen, website visits, engagement
- Audience: Job titles, companies, industries
- Budget: $10/day minimum (recommend $50+)
- Bid: Maximum bid or auto
Pro tip: LinkedIn needs budget to optimize. $50/day minimum for meaningful data.
Facebook Campaign Setup
Structure:
- Campaign (objective)
- Ad Set (targeting, budget, placement)
- Ad (creative)
Key settings:
- Objective: Awareness, consideration, conversion
- Audience: Core, custom, or lookalike
- Placements: Automatic recommended
- Budget: Can start at $5/day
Pro tip: Install Facebook Pixel before running any ads. You need conversion data.
When to Use Both Platforms
Full-Funnel Strategy
LinkedIn: Top-of-funnel awareness + lead generation
Facebook: Retargeting + broader reach
Example flow:
- LinkedIn targets decision-makers, generates leads
- Facebook retargets website visitors
- Both nurture toward conversion
Different Audiences
LinkedIn: Enterprise buyers, C-suite
Facebook: SMB, individual contributors, consumers
Same product, different segments, different platforms.
Budget Allocation
Common Mistakes
LinkedIn Mistakes
Targeting too narrow Small audience = expensive impressions. Balance precision with scale.
Using B2C creative Professional platform needs professional creative. Save the casual stuff for Facebook.
Skipping Lead Gen Forms LinkedIn Lead Gen Forms convert better than landing pages. Use them.
Underspending $10/day won't optimize. Budget $50+/day for real data.
Facebook Mistakes
Over-relying on interests Broad targeting with conversion optimization often beats detailed interests.
Creative fatigue Audiences get tired of the same ads. Refresh creative every 2-3 weeks.
Ignoring mobile Most Facebook traffic is mobile. Test your landing pages on phones.
No Pixel setup Without conversion tracking, you're guessing. Set up Pixel first.
Related Resources
- LinkedIn Analytics Tools
- Best LinkedIn Scheduler
- Best Social Media Scheduler
- Social Media ROI Guide
- B2B Social Media Strategy
- B2B Lead Generation Ideas
- LinkedIn Demographics Guide
- Social Media Marketing Packages
- How to Price Social Media Services
Summary
Quick decision guide:
Use LinkedIn if:
- B2B product or service
- Targeting job titles or companies
- High deal value ($5K+)
- Professional services
- Account-based marketing
Use Facebook if:
- B2C product or service
- E-commerce or retail
- Local business
- Need broad reach
- Tighter budget
Use both if:
- Full-funnel strategy needed
- Multiple audience segments
- Budget allows testing
- Want to compare performance
Start with the platform that matches your buyer. Track conversions, not clicks. Expand based on data.
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