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Rating distribution is one of the 28 app marketplace metrics and concepts defined in the AppRanks glossary. This page gives you a clear, plain-language explanation of what Rating distribution means, why it matters when you evaluate an app, how AppRanks calculates and verifies it, and exactly where you will see it across our public app, audit, and comparison pages. Read on for the full definition, practical use cases, and links to related terms so you can interpret Rating distribution with confidence.
Also known as: star rating breakdown, review star distribution, rating histogram, rating breakdown, star rating spread
The breakdown of an app's reviews across the 1-5 star scale, expressed as counts or percentages. A 4.8★ average can come from many shapes — 95% 5★ + 5% 1★ (polarized), 75% 5★ + 20% 4★ + 5% other (consensus), or a long tail of 3-4★ reviews (lukewarm). The distribution shape matters more than the headline average for long-term trust; a polarized listing usually has a feature gap or a setup friction that triggers occasional 1-star outliers, which compound over time into a steeper churn curve. AppRanks displays the distribution as a horizontal bar chart on the ratings & reviews section of every app page, and the audit page surfaces it under "Rating health". Compare the same shape across competitors: an app with the same average rating but cleaner distribution is usually the safer choice for new merchants — fewer angry-review surprises after install.
The headline rating compresses too much information — a 4.8★ average from a polarized base (95% 5★ + 5% 1★) implies a different install risk profile than the same average from a consensus base (75% 5★ + 20% 4★ + 5% other). For new merchants, a polarized distribution typically signals a feature gap or onboarding friction that triggers occasional 1-star outliers and is worth investigating before install. For developers, the distribution shape over time tracks whether product fixes are reducing the long-tail negative-review pattern.