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    Glossary›MQL
    Glossary · Metric

    What is Marketing Qualified Lead (MQL)?

    Definition

    A Marketing Qualified Lead (MQL) is a prospective customer whom the marketing department has determined is ready for direct sales engagement based on their engagement level and fit criteria. MQLs have typically moved beyond initial interest and shown signals of buying intent such as downloading resources, attending webinars, or requesting demos. This classification helps sales teams prioritize their follow-up efforts on the highest-potential leads.

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    Lead ScoringSales HandoffFunnel StageEngagement SignalsConversionCRMMQL
    In short

    MQL at a glance.

    Marketing deems ready for sales follow-up
    Based on engagement and behavior signals
    Precedes Sales Qualified Lead in funnel
    Improves sales efficiency and response rates

    MQL to SQL Conversion

    Not all MQLs convert to Sales Qualified Leads (SQLs). The transition depends on sales qualification criteria—budget, authority, need, and timeline—that marketing may not have visibility into. MQL-to-SQL conversion rate is a key health metric; typical ranges are 10-30%, with higher rates indicating well-aligned marketing and sales definitions. Misalignment here often signals a need to refine scoring models or communication between teams.

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    MQL — frequently asked

    Typical signals include email opens and click-throughs, content downloads, webinar attendance, demo requests, form submissions, website visits, and time spent on key pages. Most organizations weight these signals by relevance to their product, with intent signals like demo requests scoring higher than awareness signals.

    Work with sales to define what 'ready for follow-up' actually means for your business. Criteria should be concrete and measurable, such as 'visited pricing page plus downloaded guide' or 'attended webinar plus verified email'. Test the definition over time and refine based on actual SQL conversion data.

    Poor MQL quality means many leads don't fit for sales (high MQL-to-SQL drop rate), wasting sales time and damaging relationships. This typically signals scoring is too generous or marketing and sales have misaligned definitions. Common fixes: tighten engagement criteria, add firmographic requirements, or introduce a lead nurture stage.

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