Protect from fake reviews on Google Play
AndroidCommentsGoogle PlayReviewAndroid Problem Overview
I published my Android app to Google Play and everything was fine. I got about 5000 user reviews with an average 4.6 mark. But at some moment I started getting lowest mark with an insane speed. Several hundred 1 marks during 5 days. So my rating fell to 4.3. There were no complains from users, no comments, just a huge number of lowest marks. I suspect these were fake reviews. Probably paid by competitors. Is there any way to identify that? To prevent that? Does Google protect us from fake reviews in any way?
Android Solutions
Solution 1 - Android
I think the best thing to do is contact Google and make them aware of the issue.
There is a contact form on the google play site
Its also worth checking that there's not a bug in your app that stops it from opening in certain phones/devices (which may or may not be your fault, could be firmware issues). But you'll generally see users select 1 star rather than writing reviews. Remember users are lazy :)
As @64BitsPerMinute suggested in his comment, there may be some frameworks that could help detect crashes. Have a look at ACRA, or for a more managed service have a look at HockeyKit with the HockeyApp plugin. These services allow you to get crash + stack reports from your users when thins go wrong. Even if the users don't report it back to you they can click one button and send instant crash results.
Solution 2 - Android
Fight fire with fire. Pay some folks on vworker.com for 5 stars.
The better answer from my comment below:
... you might consider just spending the money on advertising. If your app is good enough to garner 5000 5s, then it will happen again soon on its own. Good luck!
Solution 3 - Android
As others have said, there may be an issue you're not aware of. You could use the Developer console to check if there's an unusually high number of reviews coming from a particular device or OS version.
Solution 4 - Android
have you tried google analytics ? maybe it could give you more clues if there are any bugs or features that do not work as you'd expect. also , this could help to verify your theory of fake responses - if the number of unique users that run the app is much lower than those that have installed it , some haven't tried it after installation.