MQL and SQL
Pipeline & Revenue Operations- Definition
- MQL (Marketing-Qualified Lead) and SQL (Sales-Qualified Lead) are standard stages in the B2B lead lifecycle. An MQL has taken enough marketing actions — content download, event registration, website visit threshold — to be handed to sales for follow-up. An SQL is an MQL that a sales rep or SDR has qualified as a genuine opportunity: budget identified, authority confirmed, timeline established (BANT criteria). The MQL-to-SQL conversion rate is a core RevOps metric: a low rate signals poor lead quality or misaligned criteria; a high rate signals the marketing team is under-generating (too conservative with criteria).
Why it matters
MQL and SQL definitions are the most argued-over handoff in most B2B orgs. Marketing wants a loose definition to claim more leads; sales wants a tight definition to protect time. The right definitions are specific, measurable, and mutually agreed — not set by one team. RevOps exists partly to referee this boundary and ensure the definitions stay data-driven, not political.
Example
A B2B company's funnel for Q3: 5,000 raw leads → 800 MQLs (16% conversion) → 200 SQLs (25% MQL-to-SQL conversion) → 80 opportunities → 25 closed-won. The VP of RevOps reviews the MQL-to-SQL rate: 25% is healthy for their industry. But she notices the MQL rate from conference attendee lists is 40%, versus 12% for content-download sourced leads, and adjusts budget toward event sourcing.
How Impossible Data helps
Conference attendee lists from Impossible Data produce MQLs that convert to SQLs at 2–3× the rate of broad-campaign leads, because the prospect has already qualified themselves by attending.