A brand-new app has a credibility problem.
Nobody knows whether it works.
That is exactly why an early wall of five-star ratings can matter so much.
Apple describes ratings and reviews as information that helps users decide which apps to try. Ratings contribute to the summary score shown on an app’s product page and in search results. Apple also notes that having very few ratings may discourage potential users from downloading an app. See Apple’s guide to App Store ratings and reviews.
That makes the first handful of ratings unusually valuable.
It also creates an incentive to manufacture them.
Artificial credibility arrives before real experience
An unknown app with three ratings looks untested.
The same app with 1,800 ratings and a 4.8 average looks established.
If those ratings came from fake accounts, paid reviewers, coordinated exchanges, or other artificial activity, the number is doing more than decorating the page.
It is manufacturing a history the product has not actually earned.
Apple explicitly prohibits manipulation of App Store ratings, reviews, charts, search, or referrals. Its App Review Guidelines say developers who attempt to manipulate reviews or inflate chart rankings through paid, incentivized, filtered, or fake feedback can face enforcement including removal from the program. See Apple’s App Review Guidelines.
Apple has also publicly described the scale of the problem. In material explaining its review systems, the company said it processed more than 1.1 billion ratings and reviews in 2023 and removed nearly 152 million it identified as fraudulent. See About Ratings and Reviews.
A score compresses too much information
A 4.8 average does not tell you:
- how many ratings are recent,
- whether the current version changed dramatically,
- whether written reviews describe the same problems,
- whether ratings came in one suspicious burst,
- whether the reviewers actually used the app meaningfully.
That is why the score is useful but incomplete.
Suspicion is not proof
A new app can legitimately receive thousands of ratings immediately.
A famous developer may have a waiting audience. A game may launch after a large marketing campaign. A companion app may inherit users from an existing service.
The number alone proves very little about manipulation.
Stronger evidence includes review-selling offers, payment records, coordinated rating instructions, networks of controlled accounts, platform enforcement, or admissions.
Manufactured Consensus does not mean successful launches are fake.
It means early social proof can itself become a product.
A five-star average is supposed to summarize customer experience.
Artificial ratings let the seller print the summary before the customers have written the story.