Chapter 4

Conversion Physics

10 min

Core Premise: Every pipeline has a mathematical signature: conversion rates between stages that are remarkably stable when measured correctly. Understanding your conversion physics enables diagnosis, projection, and capacity planning.

The Hidden Pattern

Beneath the chaos of individual deals, a pattern exists.

Stage 1 to Stage 2 converts at a certain rate. Stage 2 to Stage 3 converts at another rate. These rates fluctuate quarter to quarter but, when qualification is tight and stages are well-defined, they cluster around a stable baseline.

This is your pipeline's mathematical signature.

Most organizations do not know their conversion physics. They know their win rate (closed won divided by all opportunities created). But win rate is a blunt instrument. It collapses a multi-stage journey into a single number.

Conversion physics unpacks the win rate into its component parts. It answers: Where are deals dying? Where is the bottleneck? Where should intervention focus?


The Conversion Cascade

Imagine a pipeline with 5 stages before Closed Won. One hundred deals enter Stage 1:

StageDeals EnteringConversion RateDeals Advancing
Stage 1 → 210060%60
Stage 2 → 36050%30
Stage 3 → 43065%20
Stage 4 → 52075%15
Stage 5 → Won1580%12

Total conversion: 12% (0.60 × 0.50 × 0.65 × 0.75 × 0.80 = 0.117)

The Diagnostic Power

In the example above, Stage 2 → 3 converts at only 50%. This is the weakest link. Improving Stage 2 → 3 from 50% to 60% would change the overall win rate from 12% to 14%.

Conversion physics tells you where leverage exists.


The Decay Curve

An important pattern: later stages have higher conversion rates than earlier stages.

  • Early stages have low conversion (60-70%)
  • Middle stages have moderate conversion (50-65%)
  • Late stages have high conversion (70-85%)

Early pipeline is more valuable than intuition suggests. Late pipeline is less certain than stages suggest.


Using Conversion Physics

Application 1: Bottleneck Diagnosis

If Stage 1 volume is healthy but Stage 2 → 3 conversion collapsed, adding more Stage 1 deals will not help. The bottleneck is in qualification or discovery.

Conversion physics prevents misdiagnosis.

Application 2: Capacity Planning

To close 10 deals with the example conversion rates, you need 87 qualified opportunities to enter the pipeline.

Application 3: Forecasting Foundation

If you have 30 deals in Stage 3 and historical Stage 3 → Won conversion is 40%, you can project 12 closed deals. This projection depends on measured rates, not emotions.


The Stability Principle

Conversion rates are stable when underlying conditions are stable.

When rates deviate significantly from baseline, something has changed:

  • Qualification has loosened
  • Stage definitions have drifted
  • Market conditions have shifted
  • Competitive dynamics have changed

Conversion rate deviation is a diagnostic signal. Find the cause.


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