SCHEMA_GEN v2.6 — SESSION INITIALIZED
Enter your MQL and SQL counts for a period. See your conversion rate against B2B SaaS benchmarks, and which specific problem it points to.
sales-accepted leads from that same mql pool, same period
awaiting mql and sql counts
MQL-to-SQL conversion rate tells you whether your content program is delivering buyers who are ready for a sales conversation, not just people who filled out a form. One number cuts through vanity metrics like traffic and downloads and points straight at what's actually broken.
The three ranges below come from a demand gen program that produced 700+ SQLs and $5.8M in pipeline in a single year by treating this number as a diagnostic, not a vanity metric. Where you land determines whether the fix is audience targeting, content stage-matching, or just more investment in what's already working.
A healthy B2B SaaS program should land above 30%. Below 15% means marketing is attracting the wrong audience entirely. The 15 to 30% band, where most programs with decent SEO and active content sit, means the right people are showing up but the content isn't advancing them far enough before they reach sales.
MQL-to-SQL conversion rate measures how many of your marketing qualified leads get accepted by sales as sales qualified leads. It's calculated as SQLs divided by MQLs, expressed as a percentage over a given period. It's a clearer signal of lead quality than MQL volume alone, since it shows whether marketing is delivering leads sales can actually work.
Above 30% is the benchmark for a healthy, functioning pipeline. Between 15% and 30% is the most common range for programs with decent SEO and active content production, and it signals a buyer readiness gap rather than an audience problem. Below 15% points to an ICP or targeting issue, not a content issue.
Lead volume and lead quality are different problems. A high MQL count with a low conversion rate usually means content is attracting people outside your ICP, or ranking for research and informational queries rather than buyer-intent ones. Adding more volume to that same funnel makes the ratio worse, not better.
This range usually means the right people are entering the funnel but leaving too early in their own evaluation. The fix is content that advances buyer readiness before the sales handoff, specifically diagnostic frameworks, segmented case studies, and tools that help a buyer build an internal business case, not more top-of-funnel content.
Monthly at minimum, tied to a rolling period like the trailing 90 days rather than a single month in isolation, since MQL and SQL volume can be lumpy month to month. Track it the same way you'd track any other pipeline health metric, not as a one-time diagnostic.