Marketing Qualified Lead (MQL) Calculator
Work backward from revenue target to determine how many MQLs marketing must generate.
The B2B Demand Waterfall
The classic B2B demand model: Anonymous traffic → Captured leads → MQL (Marketing Qualified Lead) → SQL (Sales Qualified Lead) → Opportunity → Closed Won customer. Each stage has a conversion rate; multiply them to get end-to-end. A typical B2B SaaS funnel: 100 captured leads → 30 MQL (30%) → 18 SQL (60%) → 11 opportunities (60%) → 3 closed deals (25%). End-to-end conversion: 3%.
The 'right' conversion rates depend on lead source quality. Inbound demo requests convert 30-50% to opportunity; trade show scans convert 2-8%; cold list lead-gen converts 1-3%. Source: Sirius Decisions Demand Waterfall, Forrester B2B benchmarks. Last updated: May 2026.
MQL Definition — The Most-Argued Metric in B2B
'Marketing Qualified Lead' has no universal definition — it's whatever marketing and sales AGREE qualifies. Common criteria: (1) Demographic match (right industry, company size, role), (2) Behavioral score (visited pricing page, downloaded mid-funnel content, attended demo), (3) Lead source (specific high-intent channels). Tight MQL definitions = lower volume but higher SQL conversion. Loose definitions = higher volume but lower conversion and SDR frustration.
The single most useful exercise: a quarterly marketing-sales alignment meeting to redefine MQL. If less than 30% of MQLs convert to SQL, MQL definition is too loose. If sales is asking for more leads at any conversion rate, push to add more behavioral criteria.
Typical 2026 Conversion Rates by Segment
| Stage | SMB SaaS | Mid-Market | Enterprise |
|---|---|---|---|
| MQL → SQL | 40-60% | 30-45% | 20-35% |
| SQL → Opportunity | 50-70% | 40-60% | 30-50% |
| Opp → Closed Won | 20-35% | 15-30% | 10-25% |
| End-to-End | 4-15% | 2-8% | 0.5-3% |
MQL Volume vs Quality — Where to Optimize First
The leverage hierarchy: (1) Improve opp-to-close % via sales coaching, demo quality, and pricing positioning — every 5% improvement adds 25% to revenue at constant volume. (2) Improve MQL-to-SQL handoff via lead routing speed (under 5 min), enrichment data quality, and BDR scripts. (3) Improve top-of-funnel volume only after the bottom-funnel converts well — pouring more leads into a leaky funnel just amplifies the leakage.
Frequently Asked Questions
What is an MQL vs SQL?
MQL = Marketing Qualified Lead, vetted by marketing as fitting ideal customer profile and showing engagement. SQL = Sales Qualified Lead, vetted by sales (BDR/SDR) as having budget, authority, need, and timeline. MQL is a marketing-owned metric; SQL is sales-owned. Conversion from MQL to SQL is the handoff that often breaks down.
What MQL-to-customer conversion rate is good?
B2B SaaS averages 1-5% end-to-end. SMB SaaS can hit 5-15%. Enterprise typically 0.5-3%. Above 10% suggests either an excellent demand engine or very loose MQL definition. Below 1% suggests funnel leak \u2014 typically in MQL-to-SQL handoff.
How many MQLs does sales need per AE?
Depends on ACV and quota. Common math: AE has $1M annual quota, ACV is $50K \u2192 needs 20 closed deals. At 25% opp-to-close, needs 80 opps. At 60% SQL-to-opp, needs 134 SQLs. At 30% MQL-to-SQL, needs 444 MQLs annually = 37/month. Marketing must produce this volume per AE assigned to inbound.
Should SDRs convert MQLs or generate their own outbound?
Most modern teams split: SDRs handle inbound MQL follow-up (faster response, higher conversion) and BDRs handle outbound prospecting (cold to meeting). The roles converge but ideally specialize because the skills differ \u2014 inbound is reactive consultation, outbound is interrupt-and-persuade.
What is MQL lead scoring?
An automated point system that ranks leads by likelihood to convert. Common factors: firmographics (right industry/size), demographic role (decision-maker title), behavioral signals (pricing page visit, demo request, content downloads). Scores 50+ or 70+ trigger MQL status. The point: focus SDR time on highest-intent leads, not whoever filled out a form.
How fast should I respond to an MQL?
Within 5 minutes for inbound demo requests. Studies (Lead Response Management Study, MIT) show response within 5 minutes converts 21\u00d7 better than response within 30 minutes. Automate the first touch via meeting scheduler \u2014 let prospects book themselves while interest is hot.