How the algorithm used in the rating process makes higher app store rankings?
Calculating the required factors and key elements of achieving success in the ranking of the apps in the stores is quite complex process. There are used some algorithms that have key factors for displaying the success or the failure of the app. Those algorithms provide accurate information and show the everyday change.
- Algorithm key factors
While the general algorithms improve the work or give some result at the end of the program, the algorithm that is used to display the ranking of the apps reveals some different factors. Among those factors are the review volume, average app store ranking installing counts, downloading counts, rating volume, number of uninstalls of the app, usage statistics – this means how often the users launch the app and how often they use it, growth trends – which show the number of apps downloaded daily and comparison to the number from the last week, keyword density – how successful is the keyword searching for the app, etc. These factors help the users to get better statistics from the ranking and see which apps are successful.
- The function of the Ranking
The function includes 4 variables: Rating, Rating Count, Installs and Trends. The two stores for apps offering the platforms Android and iOS have different tracking movement in order to see the differences in the ranking. If the stores had some criteria in the ranking then they would have either completely different or similar results. They might have got an information that the apps were almost identical from the both versions, Android and iOS, or they might informed the stores of having big differences in the services and the offers, or if they cover a wide number of categories.
- The hypothesis of the app store ranking
Apple App Store rankings were more volatile and were based on 2 statistics. The statistics were that Android apps have higher rankings than those from iOS and that Google Play does not reset after one app has been updated, so the results might be not completely accurate.
How the results are analyzed depends on the algorithm and its way of analysis. It shows the movement of the curve from the daily downloads and installs, and the standardized percent in change. This shows that the apps from Google Play were less volatile than those from App Store.