B2B Planner

LinkedIn Ads Cost & Budget Calculator

Plan your B2B advertising spend. Model LinkedIn CPMs, CPCs, and CPLs alongside SQL pipelines using verified North American benchmarks.

B2B Campaign Inputs, Scenario A
Number of times your B2B ads are shown
Cost Per 1,000 Impressions (Avg: $55-$150)
Percentage of users clicking (Avg: 0.55%)
Clicks that become contact leads (Avg: 8%)
Leads that qualify for sales (Avg: 20%)
SQLs that sign contracts (Avg: 15%)
Average contract value per customer acquired
LinkedIn Campaign Budget & Revenue Projection
Calculating…
Enter metrics above to audit B2B Click-Through Rate.
Enter metrics above to audit Cost Per Lead.
Estimated Funnel Spend
Estimated Spend
—
Impressions ÷ 1,000 × CPM
Estimated CPC
—
Campaign Spend ÷ Clicks
Cost Per Lead (CPL)
—
Campaign Spend ÷ Leads
Customer Acquisition Cost (CAC)
—
Campaign Spend ÷ Customers
Funnel Volume Output
Estimated Clicks
—
Impressions × CTR %
Estimated B2B Leads
—
Clicks × Conversion %
Conducted SQLs
—
Leads × SQL %
Acquired Customers
—
SQLs × Win %
B2B Campaign Inputs, Scenario B
Number of times your B2B ads are shown
Cost Per 1,000 Impressions (Avg: $55-$150)
Percentage of users clicking (Avg: 0.55%)
Clicks that become contact leads (Avg: 8%)
Leads that qualify for sales (Avg: 20%)
SQLs that sign contracts (Avg: 15%)
Average contract value per customer acquired
LinkedIn Campaign Budget & Revenue Projection
Calculating…
Enter metrics above to audit B2B Click-Through Rate.
Enter metrics above to audit Cost Per Lead.
Estimated Funnel Spend
Estimated Spend
—
Impressions ÷ 1,000 × CPM
Estimated CPC
—
Campaign Spend ÷ Clicks
Cost Per Lead (CPL)
—
Campaign Spend ÷ Leads
Customer Acquisition Cost (CAC)
—
Campaign Spend ÷ Customers
Funnel Volume Output
Estimated Clicks
—
Impressions × CTR %
Estimated B2B Leads
—
Clicks × Conversion %
Conducted SQLs
—
Leads × SQL %
Acquired Customers
—
SQLs × Win %
LinkedIn B2B Planning Side-by-Side
Metric Scenario A Scenario B Winner
Enter values in Scenario A and B to compare.

Understanding LinkedIn B2B Advertising Benchmarks

LinkedIn is the premium advertising channel for business-to-business (B2B) marketing. While it generates higher quality leads than standard social media networks, it has significantly higher cost barriers. Standard planning requires mapping high CPMs directly to down-funnel deal values.

1. LinkedIn CTR (Click-Through Rate) Benchmarks

Because LinkedIn targeting is highly narrow (filtering by job title, company size, seniority), click rates are generally lower than B2C networks. A standard single-image sponsored ad has a baseline average CTR of **0.55%**.

  • Below 0.44% (Below Average): High CPC penalty. Your ad copy or targeting parameters are misaligned. Consider using LinkedIn Document Ads (PDFs) or Thought Leader Ads which see 1.5%–2.5%+ CTRs.
  • 0.44% to 0.80% (Healthy): Solid professional delivery. Your bidding cost will remain stable.
  • Above 1.20% (Strong): Elite relevance. Bidding algorithms will discount your CPMs.

2. Modeling Down-Funnel Lead Values

Because B2B leads go through multiple steps before closing, a cheap Cost Per Lead (CPL) can sometimes hide poor SQL pipelines. Our calculator maps the full transition from click to customer:

Cost Per SQL = Total Campaign Spend ÷ Qualified SQLs

If your lead conversion rate is below 8%, evaluate landing page speed or switch to native LinkedIn Lead Gen Forms, which yield 2x higher conversion rates by pre-filling customer information directly from their professional profiles.

3. High Ticket CAC Calculations

Because B2B sales contract sizes (LTV) can range from $5,000 to $100,000+, scaling B2B ads remains highly profitable even when CPCs are high. A $10,000 contract value allows you to profitably acquire customers at CACs of $2,000 to $3,000, which justifies spending $75.00 on CPMs.

4. LinkedIn Ads Cost & ROI Formulas (Calculation Methodology)

To audit your marketing funnel manually or programmatically, utilize the following core B2B calculations:

  • Total Campaign Spend: Spend = (Impressions ÷ 1,000) × CPM
  • Cost Per Click (CPC): CPC = Spend ÷ Clicks (where Clicks is Impressions × CTR%)
  • Cost Per Lead (CPL): CPL = Spend ÷ Leads (where Leads is Clicks × Lead Conversion%)
  • Cost Per SQL: Cost Per SQL = Spend ÷ SQLs (where SQLs is Leads × Lead-to-SQL%)
  • Customer Acquisition Cost (CAC): CAC = Spend ÷ Closed Customers

All calculations are done entirely locally on your machine, ensuring 100% data privacy. By preloading standard industry benchmark parameters, this tool allows you to forecast B2B performance with zero manual spreadsheet errors. Consistently monitoring conversion rates at each stage of the B2B pipeline ensures your campaigns yield positive ROI and sustainable customer acquisition metrics over the long term. By understanding these metrics, you can negotiate higher ad budgets, scale campaign performance, and avoid over-paying for cold lead demographics.