Chrome Web Store Rankings – Patterns Across 120K Data Points

Many Chrome extension devs already recognize the importance of Chrome Web Store rankings. But when they actually start, they still don't know where to begin - what factors influence ranking? And where should they focus for the biggest impact?

To answer these questions, I collected 120,000 public ranking records from the Chrome Web Store, built a prediction model, and identified the public signals most correlated with rankings. I previously shared some of the findings on X and Reddit, which sparked some discussion. This article is the full version — with a more detailed analysis, complete conclusions, and what I did with these findings afterwards.