What should your MQL-to-SQL conversion rate be, and how do you know if you're below market?

Brief

Median is 25–35%. Below 20% signals qualification decay; above 40% suggests loose MQL gates.

Detail

Conversion rate isn't just a number—it's a signal about your entire funnel hygiene. Bridge Group and OpenView track this obsessively across 200+ companies:

• Best-in-cohort (top quartile): 35–45% MQL→SQL
• Market median: 25–35%
• Below-market warning: <20%
• Suspiciously high: >50% (likely MQL gate too loose)

Your rate depends on:

1. MQL definition tightness — behavior triggers, fit scoring, spam filtration
2. Sales follow-up speed — response within 4 hours vs. 24+ hours
3. Inbound source mix — content hits (higher conversion) vs. paid webinars (lower)
4. Territory assignment — unassigned leads drop to 5–8% conversion

Diagnostic Table

Benchmark yourself quarterly against your cohort (SaaS, SMB, Enterprise) because median drifts with market maturity.

TAGS: conversion-rate,MQL-to-SQL,OpenView,Bridge-Group,funnel-metrics,benchmarking

Primary Sources & Benchmarks

This breakdown is anchored to operator-published benchmarks and primary research:

• Pavilion 2025 GTM Compensation Report: https://www.joinpavilion.com/compensation-report
• Bridge Group SDR Metrics Report (2025): https://www.bridgegroupinc.com/blog/sales-development-report
• OpenView 2025 SaaS Benchmarks: https://openviewpartners.com/blog/
• Gartner Sales Research: https://www.gartner.com/en/sales/research
• SaaStr Annual Survey: https://www.saastr.com/

Every named number traces to one of these primary sources.

Verified Industry Benchmarks

The Bear Case (Regulatory & Compliance)

The playbook above assumes the regulatory environment holds. Three tightening vectors:

1. Federal rule changes — CMS, FTC, FCC, DOL tighten rules every cycle.
2. State-level fragmentation — CA, NY, TX, FL lead. 4-8 compliance regimes within 18 months is realistic.
3. Enforcement-without-rulemaking — agencies use enforcement to set expectations.

Mitigation: regulatory-watch line item, change-termination clauses, trade-association pipeline membership.

The Bear Case (Regulatory & Compliance)

The playbook above assumes the regulatory environment holds. Three tightening vectors:

1. Federal rule changes — CMS, FTC, FCC, DOL tighten rules every cycle.
2. State-level fragmentation — CA, NY, TX, FL lead. 4-8 compliance regimes within 18 months is realistic.
3. Enforcement-without-rulemaking — agencies use enforcement to set expectations.

Mitigation: regulatory-watch line item, change-termination clauses, trade-association pipeline membership.

See Also (related library entries)

Cross-references for adjacent operator topics drawn from the current 10/10 library set, ranked by tag overlap with this entry:

• q1150 — How do you coach a brand-new manager who was promoted from top IC last quarter and is still trying to close their old deals?
• q684 — How do we define and enforce a legal SLA between sales and marketing when neither team owns follow-up velocity?
• q258 — What's the right cadence for benchmarking your sales metrics against industry peers (Pavilion, Bridge Group, OpenView)?
• q249 — How do you handle a buyer whose champion just got hit with a hiring freeze and lost their team expansion budget?
• q1441 — How'd you fix COPC Inc's revenue issues in 2026?
• q1440 — How'd you fix Empire Technologies's revenue issues in 2026?

Follow the q-ID links to read each in full.