The Handoff Problem: Where MQL-to-SQL Breaks
Pipeline leaks at the MQL-to-SQL handoff when marketing and sales qualify leads on different criteria, according to Artemis GTM (directional, from hands-on audits and industry benchmarks, not a controlled study). Many B2B companies have no shared definition of a qualified lead. The fix is one scoring model that marketing and sales both sign off on.
Why It Matters
The MQL-to-SQL handoff is the highest-friction point in the B2B revenue funnel. When marketing and sales disagree on lead quality, the result is wasted marketing spend, frustrated sales reps, and a finger-pointing culture that destroys cross-functional trust. Fixing the handoff requires a shared scoring model, not more leads.
The Data
| Metric | Value |
|---|---|
| Where leads are lost | Between MQL and sales acceptance |
| Most common cause | No shared MQL/SQL definition |
| Typical symptom | MQLs wait days before anyone acts |
| The fix | One fit and intent score both teams sign off on |
What Top Performers Do Differently
The companies that fix the handoff use a shared fit and intent scoring model calibrated against closed-won data. Marketing and sales agree on a numeric threshold that triggers automatic routing. Leads below the threshold enter automated nurture. This ends subjective "is this lead good enough?" debates and cuts handoff time from days to hours.
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Methodology
Directional, from Artemis GTM's hands-on audits and industry benchmarks, not a controlled study. Handoff leakage is read as MQLs that never become accepted SQLs; qualification alignment comes from conversations with marketing and sales leadership. Artemis GTM publishes no first-party percentages, counts or dollar figures for this pattern.
Full methodology: artemisgtm.ai/resources/research/methodology/
References
- 2026 GTM Benchmark Study (directional: our GTM audits + industry benchmarks), Artemis GTM (2026)
About This Research
Tom Regan is the founder of Artemis GTM and former founding SDR leader at Apollo.io. This finding comes from the 2026 GTM Benchmark Study, drawn from hands-on GTM audits of seed to Series C B2B startups and industry benchmarks. Directional, not a controlled study.
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The Handoff Problem: Where MQL-to-SQL Breaks Key Finding Marketing-qualified leads are routinely lost at the handoff to sales. The usual cause is misaligned qualification criteria: marketing scores leads on engagement, while sales qualifies on budget and authority, and many companies have no shared definition of a qualified lead (directional, from Artemis GTM audits, not a controlled study). Why It Matters The MQL-to-SQL handoff is the highest-friction point in the B2B revenue funnel. When marketing and sales disagree on lead quality, the result is wasted marketing spend, frustrated sales reps, and a finger-pointing culture that destroys cross-functional trust. Fixing the handoff requires a shared scoring model, not more leads. The Data - Where leads are lost: Between MQL and sales acceptance - Most common cause: No shared MQL/SQL definition (directional, from Artemis GTM audits) - Typical symptom: MQLs wait days before anyone acts (directional) - The fix: One fit and intent score both teams sign off on What Top Performers Do Differently The companies that fix the handoff use a shared fit and intent scoring model calibrated against closed-won data. Marketing and sales agree on a numeric threshold that triggers automatic routing. Leads below the threshold enter automated nurture. This ends subjective "is this lead good enough?" debates and cuts handoff time from days to hours. Methodology Directional, from Artemis GTM's hands-on audits and industry benchmarks, not a controlled study. Handoff leakage is read as MQLs that never become accepted SQLs; qualification alignment comes from conversations with marketing and sales leadership. Artemis GTM publishes no first-party percentages, counts or dollar figures for this pattern. About This Research Tom Regan is the founder of Artemis GTM and former founding SDR leader at Apollo.io. This finding comes from the 2026 GTM Benchmark Study. Full methodology: artemisgtm.ai/resources/research/methodology/ --- Source: "The Handoff Problem: Where MQL-to-SQL Breaks" by Tom Regan, Artemis GTM. https://artemisgtm.ai/resources/research/mql-to-sql-handoff-problem/ Licensed under CC BY-ND 4.0.
Attribution required: link to https://artemisgtm.ai/resources/research/mql-to-sql-handoff-problem/ + author credit