Creating an effective pricing strategy goes beyond merely setting a price tag and involves understanding what customers value most about a product. Max-diff surveys, also known as maximum difference scaling, are a key tool in this process, enabling companies to identify which features or aspects customers value most and least by presenting them with a series of choices. This method aids in refining pricing strategies, particularly for complex products where determining the main value driver is challenging. While simpler pricing models like subscriptions might work, aligning pricing with customer value through methods like max-diff surveys can optimize revenue by converting more users into paying customers and extracting value from heavy users. Alongside value scoring and behavioral analysis, max-diff surveys are highlighted for their balance between ease of use and the accuracy of insights. The process involves identifying and measuring what customers value, surveying users, calculating scores, and segmenting results to cater to different user preferences. Ultimately, the effectiveness of a pricing strategy hinges on understanding and leveraging these customer insights, which can be further supported by tools like LogRocket that identify friction points and streamline workflow decisions.