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How do you calculate the cost per marketing-qualified opportunity (MQO) and know if you're spending too much?

5/1/2025

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:

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

MetricEfficientWarningBroken
Cost per MQO vs CAC20–50%50–70%>70%
MQL→SQL conversion20–35%15–20%<15%
SQL→Opp conversion20–40%15–20%<15%
Combined funnel4–14% (MQL→Opp)2–4%<2%

Monthly Audit Calculation

How to benchmark your MQO cost:

  1. Total marketing spend (salaries, tools, media): $40K
  2. Opportunities created by marketing: 28
  3. Cost per MQO: $40K ÷ 28 = $1,429
  4. Your CAC (fully loaded): $5,000
  5. Ratio: $1,429 ÷ $5,000 = 28.6% ✓ Healthy

If ratio >50%, investigate:

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

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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/
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