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Forecasting Stage Conversion Rates Explained

How to calculate stage conversion rates, an example pipeline from raw leads to closed won, why the rates matter, and the pitfalls that distort them.

Stage conversion rates measure how efficiently deals move from one stage to the next in a pipeline (sales, marketing, recruitment, etc.). They tell you what percentage of opportunities successfully advance at each step.

The Formula

Conversion Rate = (Number entering next stage ÷ Number entering current stage) × 100

For example, if 200 leads become Marketing Qualified Leads and 50 of those become Sales Qualified Leads: 50 ÷ 200 × 100 = 25% conversion rate for that stage.

Example: A Typical Sales Pipeline

Stage

Count

Conversion to Next

Raw Leads

1,000

20%

MQLs

200

25%

SQLs

50

60%

Proposals Sent

30

50%

Closed Won

15

—

Why They Matter

  • Identify bottlenecks: a dramatically low rate at one stage signals a problem worth fixing

  • Forecast revenue: if you know your rates, you can work backwards from a revenue target to figure out how many leads you need

  • Benchmark performance: track changes over time or compare reps/channels against each other

  • Prioritize investment: improving a low-converting stage often has more leverage than adding volume at the top

Things to Watch Out For

  • Time periods matter: make sure the leads entering and exiting a stage fall within the same window, or you'll get distorted numbers

  • Volume vs. rate trade-offs: a high conversion rate on tiny volume isn't necessarily better than a moderate rate on large volume

  • Stage definitions: if your team defines stages inconsistently, the numbers won't be comparable

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