First verify that marketing-qualified lead and sales-qualified lead mean the same thing to both teams. Then sample individual leads and check fit, intent, source, response time and rejection reason. The ratio alone cannot tell you whether marketing targets the wrong buyers or the handoff is broken.
Make the stages mean something
An MQL is a marketing-qualified lead: a person or account marketing believes is worth a sales conversation. An SQL is a sales-qualified lead: sales has accepted the opportunity for further work. Start by writing the evidence needed for each stage. If marketing counts every content download and sales requires a project with budget and timing, a low conversion rate is built into the definitions.
Agree which signals indicate fit, which indicate intent and which simply indicate curiosity. A founder at a target company downloading an implementation guide may be more relevant than a student attending three webinars. But one signal rarely proves purchase readiness on its own. The lead quality guide helps separate volume from fit.
Audit records, not only dashboards
Take a recent sample of accepted and rejected MQLs. For each, record company fit, role, stated problem, source, page or campaign, time to first response, sales action and rejection reason. Review the actual page and offer that generated the lead. Did it attract buyers or people seeking a free template unrelated to your service? Do not infer motive from a campaign label alone.
Segment by source and buyer type. A partner introduction, a branded search enquiry and a broad downloadable guide may have different conversion patterns. A blended MQL-to-SQL percentage hides that difference. Use small samples to form hypotheses, not to announce statistical certainty.
Find the handoff failure
Sometimes suitable leads are being rejected because sales lacks context or responds too late. Sometimes sales accepts weak leads to keep its pipeline full, making the later conversion problem look like a closing issue. Ask sales to use a short reason code: wrong company, wrong person, no active problem, duplicate, unreachable, timing or unclear. Add a free-text note for exceptions. The handoff guide shows how to assign ownership and feedback.
Review one week of responses with both teams. Were buyers sent an appropriate next step? Did the first message reflect what they asked about? A generic “book a demo” reply to a detailed pricing question can lose a plausible buyer even when the lead is correctly scored.
Change the smallest thing that explains the sample
If most rejected leads have no buying role, change targeting and the page promise. If suitable leads wait days for contact, fix routing and response ownership. If sales and marketing disagree about the stage, rewrite the definition and recalculate the baseline. Resist buying more traffic until you know which of these problems you have.
Apply this to your business
Review twenty MQLs together. Give every rejection a reason, and compare the reasons by source. Choose one rule or handoff change for the next month. Track accepted pipeline and later customer outcomes, not the stage conversion percentage by itself.
Frequently asked questions
What should count as an MQL for a startup?
Define it from a meaningful buyer signal plus plausible fit, not from a downloaded asset alone. The exact threshold depends on sales capacity and the buying process.
Should sales accept every MQL?
No. Sales should accept leads that meet agreed criteria and return a specific reason for rejection. A rejected lead without a reason cannot improve targeting or the handoff.
Have plenty of MQLs but little accepted pipeline?
Share the stage definitions and a sample of lead records. Mohit can help locate whether the issue is targeting, qualification, response or reporting.
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