Lead Generation Cost Calculator

Estimate full-funnel lead generation budgets factoring in paid media, landing page builders, lead magnets, marketing automation, and MQL to SQL ratios.

End-to-End Pipeline & SDR Costs

Total Pipeline Generation Cost$10,500.00Paid ad spend + SDR labor
Cost Per MQL$150.0070 Marketing Qualified Leads
Cost Per SQL$428.5725 Sales Qualified Leads

Full-Funnel Lead Generation Formula

Total Cost = Ads + Landing Software + Lead Magnet + Automation; Cost Per MQL = Total Cost / Leads; Cost Per SQL = Total Cost / SQLs
  • Marketing Qualified Leads (MQL): Inbound contacts who download a resource or request product information.
  • Sales Qualified Leads (SQL): Vetted prospects ready for direct sales outreach.
  • Full Stack Expenses: Software licenses, copywriting, and media spend combined.

Step-by-Step Worked Example

Scenario: Consulting agency setting up an executive webinar lead pipeline

Calculation Steps:

  1. Calculate total pipeline cost: $4,000 + $200 + $800 + $300 = $5,300.00
  2. Calculate Cost Per MQL: $5,300 / 200 = $26.50 per MQL
  3. Calculate Sales Qualified Leads: 200 × 0.25 = 50 SQLs
  4. Calculate Cost Per SQL: $5,300 / 50 = $106.00 per SQL
Result: The webinar pipeline delivers 200 MQLs at $26.50 and 50 qualified sales prospects at $106.00 Cost Per SQL.

How to Use This Calculator

  1. 1Input monthly media ad spend and supporting marketing technology stack expenses.
  2. 2Enter total expected inbound leads captured.
  3. 3Set the sales team qualification percentage (MQL to SQL rate).
  4. 4Examine full-funnel Cost Per MQL and Cost Per SQL metrics.

Assumptions & Limitations

  • Amortizes one-time asset production across initial campaign deployment.

Frequently Asked Questions

What is the difference between an MQL and an SQL?

An MQL (Marketing Qualified Lead) has engaged with marketing content (downloaded an ebook, attended a webinar). An SQL (Sales Qualified Lead) has been vetted by sales criteria (budget, authority, need, timeline).

What percentage of MQLs typically become SQLs?

In B2B marketing, a typical MQL-to-SQL conversion rate ranges between 15% and 30%. Rates above 35% indicate highly qualified inbound targeting.

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