Knowledge base · metrics

Metric tree: breaking revenue into things you can actually control

in short

A metric tree shows you what you can pull to move the headline number. Only one form of decomposition really works: multiplicative. Revenue equals enquiry volume times conversion times average deal size. The formula approach («average deal = sales divided by orders») looks logical but produces no ideas, and the additive approach is usually segmentation rather than an explanation of the mechanism. The bottom layer of the tree is drivers: things a specific person can change with a specific action over a short horizon.

Choosing the headline metric

State the outcome first, then pick the metric that best reflects that change. A metric that moves more slowly than your planning horizon cannot be the headline one: you will not live long enough to see the effect of your actions.

Three ways to decompose

  • Formula. Average deal equals sales divided by orders. Mathematically correct, generates no ideas.
  • Additive. Sales equal online plus offline. That is segmentation; it shows no mechanism.
  • Multiplicative. Revenue equals enquiries times conversion times deal size. Every factor has an owner and its own set of actions.

What components must be

  • they explain the headline metric fully, or nearly so
  • logically clean, with no overlap between them
  • capable of being broken down further

What drivers must be

  • directly controllable: a specific action moves the driver
  • locally owned: there is a person answerable for it
  • fast feedback: the result is visible in days or weeks
A sales example. Headline metric: revenue. Components: enquiries, conversion, deal size. Drivers under conversion: first response time, share of conversations where price was quoted, follow-ups on stalled threads. All three are controllable and all three are visible within a week.

Six criteria for deciding what to fix first

  1. the driver's contribution to the headline metric
  2. how far it has currently dropped
  3. the upside available
  4. how controllable it is
  5. how fast the feedback arrives
  6. what changing it costs

How to check your tree

  • components explain the full 100% of the headline metric
  • components do not duplicate each other
  • no driver sits at component level, and no segment stands in for a component
  • the bottom layer really can be moved by a specific action

Questions people ask

How many metric trees does a company need?

As many as it has simultaneously active management focuses. At company level, usually one to three.

What is the difference between a component and a driver?

A component explains the headline metric mathematically. A driver is something a specific person can change with a specific action.

What if a driver turns out not to be controllable?

Then it is not a driver. Go one level down, or find another route to influencing the same component.

Sources: lead response speed (Harvard Business Review, Lead Response Management Study, 2025-2026 roundup); deal cycle and touches per closed deal (Gartner B2B Sales Benchmark, 939 companies, 2025); metric maps and metric trees (Nekrasov and Kolokolov, 2026). Market figures are averages, mostly non-Ukrainian. Project figures are Double Sales' own measurements, marked as such.
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