Glossary · Metric

Predictable revenue (revenue predictability)

Revenue predictability is the ability to estimate how much the company will bring in over a future period, with a known margin of error, based on the current pipeline, historical conversion rates and average cycle time.

What it depends on

Predictability isn't something you install: it's the result of three things being in place at the same time. Take one away and the forecast becomes an opinion.

  • A process with defined stages and objective criteria for moving forward
  • Reliable data on what is in each stage, right now
  • Historical conversion between stages and cycle time

How to calculate it, in its simplest form

Multiply the value in each pipeline stage by that stage's historical conversion rate to close, then add up the results — factoring in cycle time to know what fits within the period.

Refinement comes later: breaking it down by source, by sales rep, by deal size. But that's the foundation, and it's already enough to stop making decisions based on hope.

Why almost no one has it

Because it depends on every other piece being in place. It's the last problem in a sales operation to get solved — which is why it's usually the most cited goal and the least achieved.

Frequently asked questions

What margin of error is acceptable?

There's no universal number — what matters is that the margin is known and stable. A forecast that's consistently off by 15% is more useful for decision-making than one that's sometimes right and sometimes off by 60%.

How much history do I need?

You can start with just a few cycles and gain accuracy over time. The common mistake is putting off measurement while waiting for perfect data.

Want to build predictability into your operation?

Start with the free revenue engineering assessment.