How do you calculate the cost per marketing-qualified opportunity (MQO) and know if you're spending too much?
Brief
MQO (SQL that became Opp) should cost 30–50% of your CAC. Above that signals weak qualification.
Detail
Marketing cost per SQL is table stakes. Cost per *qualified* opportunity is what matters.
Example:
- Marketing spend (month): $40K
- MQLs generated: 500
- Cost per MQL: $80
- SQLs qualified: 120 (24% conversion)
- Cost per SQL: $333
- Opportunities created: 28 (23% of SQL)
- Cost per MQO: $1,429
Your CAC is $5,000 (fully loaded). Your MQO cost is 28.6% of CAC. That's efficient.
If MQO cost is >50% CAC, you're throwing budget at low-fit leads. If it's <20% CAC, your SQL gate is too tight (you're artificially suppressing volume).
Cost Efficiency Tiers
| Metric | Efficient | Warning | Broken |
|---|---|---|---|
| Cost per MQO vs CAC | 20–50% | 50–70% | >70% |
| MQL→SQL conversion | 20–35% | 15–20% | <15% |
| SQL→Opp conversion | 20–40% | 15–20% | <15% |
| Combined funnel | 4–14% (MQL→Opp) | 2–4% | <2% |
Monthly Audit Calculation
How to benchmark your MQO cost:
- Total marketing spend (salaries, tools, media): $40K
- Opportunities created by marketing: 28
- Cost per MQO: $40K ÷ 28 = $1,429
- Your CAC (fully loaded): $5,000
- Ratio: $1,429 ÷ $5,000 = 28.6% ✓ Healthy
If ratio >50%, investigate:
- Is the MQL gate too loose? (Killing conversion downstream)
- Is paid media too broad? (Targeting wrong persona)
- Is the sales team not calling? (MQLs aging, converting poorly)
Most teams don't calculate MQO cost. They watch CAC go up and blame sales efficiency. Wrong. Your MQO cost is the canary.
TAGS: MQO,cost-per-opportunity,CAC,marketing-efficiency,qualification-cost,funnel-metrics