What Galileo Can Teach You About App Store Optimization

Summary

The article draws a parallel between Galileo's scientific method and app store optimization (ASO), advocating for a systematic approach to improve search rankings and downloads. It begins by noting historical shifts from superstition to evidence-based knowledge, mirroring a developer's journey from attributing rankings to luck to understanding ASO. The scientific method is presented as a repeatable process: formulate a specific question (e.g., 'How to rank in top 10 for all keywords?'), hypothesize (e.g., using keywords with Difficulty Score ≤ 3.8), research using tools like Keyword Research Tool, test via app updates, and analyze results with Search Rankings Tool.

The example of a fitness app targeting 'training' illustrates this cycle. If results fall short, revise the hypothesis (e.g., lower Difficulty Score). The article stresses testing one hypothesis at a time, iterating to find effective keywords, and applying the method to other areas like app icons or ads.

Ultimately, the process itself is as valuable as the answers, enabling continuous improvement and replicable success, just as Galileo's method led to breakthroughs.