The 97% Figure You Will Cite Incorrectly at Dinner Parties
The Small Business and Entrepreneurship Council surveyed small businesses regarding AI pricing tools. Sixty-five percent currently use or plan to implement such tools. Among current users, ninety-seven percent report measurable revenue improvements attributable to price optimization.
This illustrates the principle of algorithmic price discrimination and dynamic adjustment. The technique teaches you that pricing is not a set-and-forget decision but a continuous variable that AI can optimize. Your workflow should incorporate regular price testing rather than annual reviews. The thinking change is to view price as data-driven and elastic, not intuitive and fixed.
The Small Business and Entrepreneurship Council conducted this research. The ninety-seven percent revenue improvement figure comes from their reporting on current AI pricing tool users. Individual business names are not specified in the source.
Step 1: Locate a product or service you currently sell, or select a hypothetical one. Step 2: Open a spreadsheet and list three price points. Use a free AI tool to analyze which price point would likely maximize revenue given different demand elasticities. Step 3: Document the reasoning the AI provides, then compare it to your own initial guess to identify your intuitive biases.