Part of building mobile web apps is understanding the myriad of mobile analytics and in part visualizing the data to shed light on trends that my otherwise be difficult to see in tabular data or even a colorful cohort table. I’ve been building a dashboard using R, RStudio, Shiny, and Shiny Dashboards aggregating data from MSSQL, Postgres, Google Analytics, and Localytics.
Recently, I’ve been building a dashboard for Find&Save using R, RStudio and Shiny Dashboards and one of our core mobile metrics is 30 day active users for both iOS and Android which I can get from Localytics (our analytics platform) via their API. Googling around I found I’m not reinventing the wheel (via SO) though I did run into a problem where the response failed to convert properly thus the post.
Here’s the original function from SO with some slight tweaks for my needs:
Find&Save Cash Dash Inbox
In November ’14 the Wanderful Media team launched a new feature within our Find&Save mobile apps called Cash Dash, a geographically targeted offer platform giving retailers the opportunity to reach consumers at key locations while out shopping. Using location aware features on iOS and Android the platform is able to suggest offers while users are out-and-about shopping. Leveraging our data on hundreds of retailers and hundreds of thousands of retailer locations as well as shopping malls all across the U.S. the platform provides retailers a rich ability to reach consumers at or near their stores with customized messaging and unique offers to help draw them in.
Go here on your smart phone: http://www.findnsave.com/
for mobile geo specific sale content. Leave a comment about what you think.