What Is MQL to SQL Conversion Rate?
MQL to SQL conversion rate is the share of marketing-qualified leads that sales accepts and converts to sales-qualified leads in a given period. It measures the handoff quality between marketing and sales — a low rate signals that marketing is generating volume without relevance, or that sales is rejecting leads without clear criteria.
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What this export contains
| Lead ID |
| Lead Source |
| MQL Date |
| SQL Date |
| Lead Status |
| Campaign Name |
| Sales Rep |
| Disqualification Reason |
What usually goes wrong with it
MQL and SQL stage dates are in separate columns or files
CRM exports often store MQL Date and SQL Date as separate fields — computing the conversion rate requires counting leads that have both dates set within a given period.
DataMimi Datamimi counts leads with both MQL Date and SQL Date populated within a date range, computing the conversion rate by period without requiring a formula.
Disqualification reasons are free-text or inconsistently coded
The Disqualification Reason column often contains free-text entries like 'bad fit', 'no budget', or 'timing' — grouping these requires manual standardization before any analysis.
DataMimi It groups Disqualification Reason entries by semantic similarity, standardizing free-text variants into consistent rejection categories.
Source attribution splits the population into small segments
Breaking conversion rate by Lead Source and Campaign Name simultaneously produces many small cells — rates for minor sources are statistically unreliable without a minimum threshold.
DataMimi It flags Lead Source and Campaign Name segments below a minimum sample size and marks their conversion rates as low-confidence in the output.
Common questions
What is MQL to SQL conversion rate and what does a good benchmark look like?
It measures what share of marketing-qualified leads become sales-qualified leads. Industry benchmarks range from 13% to 27% — B2B SaaS companies with strict MQL definitions often land between 20% and 30%, while companies with loose MQL criteria see rates below 10%.
How do I calculate MQL-to-SQL conversion in a spreadsheet?
Count leads where SQL Date is not blank and falls within the period, then divide by total leads where MQL Date falls within the same period. Use COUNTIFS with two criteria: MQL Date within range, and SQL Date not blank. Exclude leads still in the MQL stage from the denominator.
Why would my MQL-to-SQL rate be dropping?
Three common causes: marketing loosened lead scoring criteria and is passing more unqualified leads, sales tightened SQL acceptance criteria, or there is a communication breakdown at the handoff with leads sitting unworked past the SLA window.
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