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Metricsmonk Releases iOS Analytics and User Distribution

The product’s new innovative User Distribution function increases granularity.

Berlin, Germany, July 05, 2013 --( Today metricsmonk releases the complete iOS analytics feature to complement their current data suite. Joining the already well-established Facebook game and app analytics, the iOS feature contains refined tools to scan how an application or game is performing within different markets.

Up until now, metricsmonk has provided an analytics suite spanning Facebook applications and games. The addition of the iOS feature to this suite ensures customers have access to a broader range of analytics across both the Facebook and Mobile platforms. User distribution is the key tool in this analytics offering. It provides a huge amount of granularity and lets customers scan how users of their app or game are also acting within the iOS market. This helps customers identify who they are competing against for users, thus helping them to adjust user acquisition costs and communication accordingly.

The iOS analytics features include:

· User distribution: the ability to see the distribution of users of a specific application or game over other applications or games
· Rankings: to show overview of app/game performance within different appstores and categories
· Item detail: for each app/game, customers can view its ranking across all appstores, the number of reviews it has and the average rating given by its users

“We’re really excited to be introducing iOS to metricsmonk,” CEO Sebastian Sujka enthuses, “I am confident that our clients will find the update a valuable addition to the service. The user distribution is a revolutionary new feature that we’ve been working on for a while and clients are reacting extremely positively to this update. There’s nothing else like this on the market.”

About metricsmonk

A product to encourage transparency, metricsmonk ( is an analytics service of Facebook and Mobile applications and social games. Rebranded and re-launched in January 2013, the platform is customer-driven with customizable data alongside refined tools to drill down to key metrics.
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Camilla Noon

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