When building an analytics system, three big areas need to be considered: how to capture, process, and visualize data. We’ve built our Mobile Analytics solution from the ground up with the requirements of data capture, processing, and visualization in mind. In this blog post, we examine each in the context of mobile analytics, including how they drive the requirements and influence the design of a mobile analytics solution.
Thanks to all who attended our recent webcast: From Napkin to App: Rapidly Prototype and Build for Mobile. The video and slides are below.
Brian Mulloy and Alan Languirand discuss the lessons they've learned quickly getting from concept to app. They provide a recipe for rapid app development and a list of the tools and techniques to successfully get from concept to prototype in just a few days.
By 2013, most major companies with a mature web presence have had a couple of iterations of their mobile apps out in the marketplace. As with any new and maturing channel (web, social, etc.), customers begin to look less for new features - and more for features optimized for their daily lives. Many companies that implemented their mobile app in 2012 or earlier simply ported the most compelling experiences from their website to mobile devices. The next logical phase of a mobile strategy is to build and improve user experience ...
“When the power of love overcomes the love of power, the world will know peace.” - Jimi Hendrix
LovePowerup, powered by Apigee's App Services, is an iOS app with which users participate in and track the power of love around the world. You can send love to people who need it and receive love when you need it. And every time someone sends or receives love, not only do they feel better, it increases the power of love in the world, bringing us all closer to world peace.
Mobile analytics is about understanding your mobile customers. It seems that every day a new analytics vendor releases a “must have” analytics product for your app. Instead of trying or adopting every new product, I recommend mobile app publishers focus on a “mobile analytics maturity model” - a model that promotes building up your analytics capabilities along different axes.
This blog post describes the three levels of analytics in our maturity model, who in the organization needs to be involved, and which analytics vendors can help you get the metrics to enable better decision making for your apps to support your users.
Since the beginning of retail, store location has been a key ingredient for success. Forward-thinking retailers are now considering ‘location’ online as consumers move beyond the browser, increasingly spending time on their mobile phones, iPads, game consoles and other devices.
Last week Dana Mattioli of the Wall Street Journal wrote an article on “Retailers Ring Up New Sales on Smartphones” on highlighting the significance of a mobile strategy to the new world of retail. Hal Lawton, president of homedepot.com, expects 30-40% of their traffic to come from mobile devices by 2014. Retailers like HomeDepot are going to...