Key Takeaways
- MQLs are leads that meet marketing-defined engagement thresholds, indicating readiness for sales follow-up.
- Lead scoring automates MQL identification by assigning points for demographics (job title, company size) and behavior (page visits, downloads).
- The MQL-to-SQL conversion rate (typically 15-30%) is the key metric for evaluating marketing-sales alignment.
Defining MQL Criteria
MQL criteria should be defined jointly by marketing and sales to ensure alignment. Effective criteria combine two dimensions:
- Demographic fit: Job title, company size, industry, location, and budget match your ideal customer profile.
- Behavioral engagement: Content downloads, webinar attendance, pricing page visits, demo requests, and email engagement.
| Action | Typical Score | Signal Strength |
|---|---|---|
| Visited pricing page | +15 points | High intent |
| Downloaded whitepaper | +10 points | Interest in topic |
| Attended webinar | +20 points | Active engagement |
| Opened 3+ emails | +5 points | Mild interest |
| Job title: C-suite | +25 points | Decision-maker fit |
Calibration
Review MQL criteria quarterly. If sales rejects more than 40% of MQLs, your threshold is too low. If marketing generates very few MQLs, it is too high. Target a 20-30% MQL-to-SQL conversion rate.
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