Improve your contact center performance. See how you can make a difference.
Watch Now
Engage and build your ICT audience with CIOL online advertising.
Know more
SAN FRANCISCO, USA: Flurry, the leading cross-platform mobile application analytics provider has announced the release of two extensions to its analytics service: User Path Tracking to monitor the sequence of actions completed in mobile applications by consumers; and, Dynamic Parameters to analyze user-generated content and other user action data within mobile applications.
These mobile analytics features are available for free on all Flurry-supported platforms: iPhone, Android, Blackberry and Java ME. A demo with live data is available for developers to preview the upgraded service.
How to build mobile apps with Android?
"Flurry is committed to dramatically raising the standard of iPhone and Android Analytics for its customers," said Flurry CEO, Simon Khalaf. "Building the ability to track user flows and event parameters was technically challenging but exactly what our customers needed to better understand their consumers, increase retention and grow their active user base."
Since emerging from Beta earlier this year, Flurry Analytics has collected billions of analytics data points across tens of millions user sessions. Each day, Flurry Analytics gathers additional data from millions of mobile users, including data from among several of iPhone and Android's top selling games and applications.
Apple iPhone app developer jobs demand up 500pc
"Millions of consumers have come to expect the highest quality game experiences from Digital Chocolate, such as Tower Bloxx and Crazy Penguin Catapult," said Jason Loia, chief operating officer, Digital Chocolate. "Partnering with Flurry provides us with critically important data to consistently improve our games for our consumers."
Flurry Analytics new features include:
User Path Tracking: Equivalent to "click streams" on the web, developers now can track the sequence of actions that consumers complete in their applications from the time of launch. This data can be used to increase user satisfaction and retention by improving the design of an application and discovery of key features.
Dynamic Parameters: In addition to the ability to track when end-users perform key actions, developers can now "describe" how that action was completed in richer detail. For example, if a developer includes a search box within her application, she can now understand details such as what the most popular keyword searches are, the number of words used in searches and what kinds of searches are performed at different times of the day.