iOS Analytics

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Google Analytics SDK
Use case Use case After a long wait, finally it’s my time to contribute to #iDevBlogADay! Today I won’t talk about anything too technical. Instead, I’ll talk about how to make better decisions based on data in my iphone app development experience. Be more specific, how to leverage the power of Google Analytics. There are plenty of tutorials online about how to do the integration, such as Google’s own doc, or this one from icode blog, so I don’t want to repeat that.
Localytics
Apsalar
App Store Analytics

Comparison Comparison [It takes time for your eyes to adjust when you've been blind-sighted for so long. Especially if you are an entire industry. Research Director Andreas Constantinou dissects the market of Application Analytics and discusses why it's the most underhyped market sector in mobile] Application analytics has been one the surprises in the mobile industry radar. It’s a market sector that emerged almost out of the blue in 2009 and became mainstream in just a year, fuelled by the mobile app phenomenon.
Unlike a lot of console and PC games, most mobile and web games keep evolving over time [1]. It’s up to a game’s designers to ultimately decide how to change and improve the game, but the more data about players’ habits they have, the more informed a decision they’ll be able to make. Having good analytics on iOS games is simply essential these days.Recording particular events as part of the analytics is only part of it. The most important part is how that data is presented to the developer. Having tables with millions of entries does me no good, and as a busy indie developer, I can’t afford to spend hours writing scripts to analyze it. I want something that allows me to easily visualize the data and makes sense out of it at a glance. Another review Another review