As long as there are algorithms impacting revenues there will be people trying to game them. In the world of mobile apps there are two sorts of algorithm that can be routes to success, chart rankings and search rankings. Chart rankings are very simple and typically just use some time-weighted download volume. Search rankings are much more complex, involving keywords, reviews and other social or similarity-based data as well as downloads. Developers can use a range of tactics to improve their ranking in these algorithms, some of them much more legitimate than others.

Ahead of the release of our latest Developer Economics survey, we look back the biggest challenges developers reported in our 2012 survey. Here we discuss six of them, with some basic tips on what to do about them. The challenges are split between marketing and post-launch app and user management. The three biggest marketing challenges were: keeping users engaged, targeting the right users and identifying the right revenue model. The three biggest post-launch challenges were: Tracking bugs and errors, getting users to review your app and updating applications in the field.

With some types of mobile app, getting a user to download it is just the beginning of the problem. If the application is going to be personalised to a user’s preferences, or allow them to interact with others via some online service, then they’ll need to provide some data before they can start using it. Typically the more information a user provides about themselves, the better job an app or service can do of tailoring the experience to them. Unfortunately, the more steps a user has to go through before they can start using an app, the less likely they are to complete the signup process. Getting this wrong can catastrophically alter the economics of user acquisition.

Andreas Pappas takes another look at the results of VisionMobile’s Developer Economics 2012 survey and comes up with interesting new insights on app monetisation: how does app revenue vary by app-category and by country? Is there a correlation between time spent developing an app and they money it makes?

[The explosive growth of app ecosystems is creating serious bottlenecks in app discovery that only popular apps can overcome. Having 700,000 apps is great for platform vendors, but not so great for developers, whose apps are lost in the heap. Andreas Pappas takes a look at the app discovery problem and considers whether social discovery […]

With well over one million total apps available on Apple and Google app stores combined, plus hundreds of thousands on the other platforms, the competition to get on consumers’ handsets is fierce. As hundreds of apps are added each and every day, app discovery remains a largely unsolved challenge which is only getting worse. With […]

App Annie Intelligence, which tracks more than 700,000 apps, reports that freemium apps – free apps that have in-app purchases – are experiencing impressive revenue growth worldwide, far outpacing premium apps in both iOS and Google Play stores. Over the last 24 months, worldwide revenues for freemium apps on iOS have more than quadrupled. In […]

Mobile apps are a huge and rapidly growing business. Mobile developers have access to a greater number of users and more simple ways of monetizing their creations than any software developers before them. However, selling digital content and services directly, or advertising to users of those services are only two of many, many ways of […]

This hackpad (a collaborative list composed by 150 people) has an impressive list of web and mobile revenue models, ranging from the classic ad-driven models and pay-per-download to intermediaries and commerce models. For Your Inspiration. List of web & mobile revenue models: Advertising Commerce Subscription Peer to Peer Transaction processing Licensing Data Mobile Gaming Revenue-share […]

Many of the most engaging and popular apps connect to cloud services which either regularly deliver new content, enable users to interact with one another or both. Unlike a standalone application, such apps can incur ongoing hosting costs throughout their active usage life. Ideally your revenue model should mirror the cost structure. Using a Backend-as-a-Service […]