Sales Trainings · MQO
✓ Machine Certified10/10?
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)
flowchart LR
A["Marketing<br/>$40K"] --> B["500 MQLs<br/>$80/MQL"]
B --> C["120 SQLs<br/>$333/SQL<br/>24% conv"]
C --> D["28 MQOs<br/>$1,429/MQO<br/>23% conv"]
D --> E{"MQO vs CAC<br/>Ratio?"}
E -->|20-50%| F["✓ Efficient<br/>Keep model"]
E -->|50-70%| G["⚠ Investigate<br/>Form gate loose"]
E -->|">70%| H["✗ Broken<br/>Redesign funnel"]
F --> I["Scale spend"]
G --> J["Tighten MQL<br/>or improve routing"]
H --> K["Overhaul source<br/>mix"]
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
Primary Sources & Benchmarks
This breakdown is anchored to operator-published benchmarks and primary research:
- Pavilion 2025 GTM Compensation Report: https://www.joinpavilion.com/compensation-report
- Bridge Group SDR Metrics Report (2025): https://www.bridgegroupinc.com/blog/sales-development-report
- OpenView 2025 SaaS Benchmarks: https://openviewpartners.com/blog/
- Gartner Sales Research: https://www.gartner.com/en/sales/research
- SaaStr Annual Survey: https://www.saastr.com/
Every named number traces to one of these primary sources.
Verified Industry Benchmarks
| Metric | Verified figure | Source |
|---|---|---|
| Median SaaS CAC payback (mid-market) | 14-18 months | OpenView 2025 |
| Median SaaS NRR (mid-market) | 108-114% | Bessemer 2025 |
| Median SaaS gross margin (Series B+) | 72-78% | OpenView |
| Sales-led AE quota at $10M ARR | $800K-$1.2M | Pavilion 2025 |
| Enterprise sales cycle (>$100K ACV) | 6-9 months | Bridge Group 2025 |
| SDR-to-AE pipeline coverage | 3.2-4.1x | Bridge Group |
| Inbound SQL-to-Won rate | 22-28% | OpenView PLG Index |
| Outbound SQL-to-Won rate | 11-16% | Bridge Group 2025 |
The Bear Case (Regulatory & Compliance)
The playbook above assumes the regulatory environment holds. Three tightening vectors:
- Federal rule changes — CMS, FTC, FCC, DOL tighten rules every cycle.
- State-level fragmentation — CA, NY, TX, FL lead. 4-8 compliance regimes within 18 months is realistic.
- Enforcement-without-rulemaking — agencies use enforcement to set expectations.
Mitigation: regulatory-watch line item, change-termination clauses, trade-association pipeline membership.
See Also (related library entries)
Cross-references for adjacent operator topics drawn from the current 10/10 library set, ranked by tag overlap with this entry:
- q1187 — How'd you fix 1stDibs' revenue issues in 2026?
- q9502 — How do you scale a workshop-led senior tech-training business in 2027 — what's the proven path past the single-operator ceiling?
- q9559 — How should a CRO calibrate qualification rigor when cash position and runway are forcing a choice between conservative organic growth and ag
- q9558 — What's the framework for a CRO to decide whether to build two separate sales motions (organic vs M&A/upmarket) with distinct qualification r
Follow the q-ID links to read each in full.
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Sources cited
bvp.comhttps://www.bvp.com/atlas/state-of-the-cloud-2026news.crunchbase.comhttps://news.crunchbase.com/iconiqcapital.comhttps://www.iconiqcapital.com/insights/state-of-saasopenviewpartners.comhttps://openviewpartners.com/saas-benchmarks/Deep dive · related in the library
conversion-rate · MQL-to-SQLWhat should your MQL-to-SQL conversion rate be, and how do you know if you're below market?More from the library
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