MQL vs SQL vs PQL: SaaS Lead Qualification Framework
- MQL (Marketing Qualified Lead): Engaged with marketing content (ebook download, webinar attendance). Owned by Marketing.
- SQL (Sales Qualified Lead): Demonstrated buying intent ready for sales interaction (demo booking, pricing request). Owned by Sales.
- PQL (Product Qualified Lead): Experienced product value via free trial/freemium usage. Owned by Product + Sales.
MQL vs SQL vs PQL Breakdown
1. MQL (Marketing Qualified Lead)
A prospect who has shown engagement with marketing materials but is not yet ready to buy.
Examples: Downloaded an ebook, registered for a webinar, read 5 blogs.
2. SQL (Sales Qualified Lead)
A prospect who has demonstrated clear buying intent and is ready to speak with sales.
Examples: Requested pricing quote, booked a demo call, submitted a contact sales form.
3. PQL (Product Qualified Lead)
A user who has used a free trial or freemium product and hit key usage milestones indicating purchase readiness.
Examples: Invited 5 team members to workspace, exported reports, hit free tier limit.
Comparison Matrix
| Metric | MQL | SQL | PQL |
|---|---|---|---|
| User Intent | Engages with content | Requests sales meeting | Uses product features |
| Owned By | Marketing Team | Sales Team | Product & Sales |
| Intent Level | Low to Medium | High | Very High |
Interview Questions & Answers ⭐
Q: What's the difference between MQL, SQL, and PQL?
"An MQL is a prospect who engages with marketing content. An SQL has shown buying intent ready for a sales conversation. A PQL is a free trial user whose product usage demonstrates high likelihood of converting into a paid customer."
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