How do you audit marketing-sourced pipeline quality and spot rotten SQL sources?
Brief
Track SQL→Opportunity close rate by source. Below 20% kills your deal math; above 50% questions your SQL gate.
Detail
Marketing sourced 100 SQLs last month. Sales closed 12 of them. That's 12% close rate. Is that good or terrible? Depends on the source:
- High-intent webinar (gated, vertical-focused): 35–45% SQL→Opp
- Organic content (blog, SEO): 22–28% SQL→Opp
- Paid ads (brand keyword): 18–25% SQL→Opp
- List/outbound nurture: 8–15% SQL→Opp
If your paid ads are only hitting 12%, that's below the band. Your MQL gate is too loose.
Quality Audit Framework
For each source, calculate over 90 days:
| Source | SQLs | Opportunities | Opp Rate | Avg Deal Size | Qual? |
|---|---|---|---|---|---|
| Webinar (Jan 22) | 47 | 22 | 47% | $62K | YES |
| Organic Content | 183 | 34 | 19% | $38K | AUDIT |
| Paid Search (Brand) | 91 | 15 | 16% | $31K | NO |
| ABM Account (Cold) | 24 | 8 | 33% | $145K | YES |
| Event Booth | 18 | 2 | 11% | $21K | KILL |
The *Paid Search (Brand)* source is bleeding money. Why? Three tests:
- Is the form too loose? (Landing page accepts anyone)
- Is the audience wrong? (Targeting SMB instead of Enterprise)
- Is the message misaligned? (Ad promises X, product is Y)
Root Cause by Data Pattern
Run this audit monthly. Kill sources dropping below 18% SQL→Opp unless they're volume plays (high MQL count, lower quality acceptable).
TAGS: pipeline-quality,SQL-sources,source-audit,marketing-sourced,conversion-by-channel