What is a value metric and why does everyone say it matters more than the number?
A value metric is the thing you charge for: a seat, a thousand API calls, a gigabyte, a transaction, a resolved ticket. Patrick Campbell's line is that if you get everything else in pricing wrong but get the value metric right, you will be fine, because the right metric means your revenue grows as the customer gets more value without you renegotiating. Pick it by finding the activity that best tracks the outcome your customer cares about, not the one that is easiest to meter. Watch out for metrics that punish adoption, because charging for something people need to do more of will quietly cap your growth. Seats are the default and are increasingly a bad default as software does more of the work.
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Campbell ran pricing research at ProfitWell across thousands of companies, and his sequence (value metric, then segments, then experiments) is the one to follow. The line worth memorising: get the value metric right and you can get a lot of the rest wrong.
Before you meter anything you have to pick what to meter. Sethi's frequency versus importance grid, worked through with Clevertap, is the clearest method we have seen for finding the unit that grows with the customer's value rather than with your cost.
A value metric is the quantitative anchor that best correlates with the outcome customers actually care about.
Look for the highest frequency activity tied to an important customer goal, with a consistent usage pattern.
Do not price the highest frequency activity high, consider subsidising it, or a competitor undercuts you there.
The monetization sweet spot is medium frequency, medium importance activities, and good design shows up as 20 percent plus expansion from existing customers.
Maps tiers to how adoption actually spreads (casual user, professional, team, organisation) rather than to a feature matrix, using Notion, Databricks, GitHub and dbt. The best argument for delaying monetisation until usage patterns are legible.
Campbell sat on pricing data from tens of thousands of companies, and he uses it here to show why the unit you charge for matters more than the number attached to it. The clearest case for picking a value metric before touching the price.
