I have no idea what to charge. How do I pick a first price?
Find the right order of magnitude first and stop arguing about the exact number. Are you a ten dollar product, a hundred dollar product, a thousand dollar product or a hundred thousand dollar product? That decision follows from who buys, what budget it comes out of, and what they do today instead. Bound it from below by what it costs you to serve a customer and from above by what a heavy user is worth. Most early founders underprice badly, so if nobody has flinched at your price you are almost certainly too cheap. Announce pricing as late as you sensibly can, and build the product so pricing can change without an engineering project.
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The bounding method for a first price (cost to serve as the floor, cost of a heavy power user as the ceiling) plus the advice to keep pricing changeable in the product. Written for founders who are about to underprice, which is most of them.
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.
The shortest honest answer to picking a first number: charge more than feels comfortable, watch the reaction, adjust. It is aimed at founders with no pricing history and no data, which is exactly the position this question describes.