tappr.tv usage analysis (mid 2013)

tappr.tv is generating all sorts of measurement data, across a variety of systems like iTunes Connect, Flurry, Parse, as well as built-in metrics within tappr.tv itself. Coalescing that data for better analysis is challenging.

Still, interesting patterns can be discovered if we look a little closer at any one system.

For instance, here's the Flurry stats on the geography of the community:

Clearly, most users are in the norther hemisphere, and North America is more than twice that of Asia or Europe.

Here's a look at the top 8 languages:

Not quite sure how to correlate these numbers with the map above, other than to observe that Japan accounts for much of the use in Asia.

Here's a chart of API usage in Parse for as far back as their system has been measuring:

Three things emerge from this graph for me:

1. there's a seasonality to app usage, dipping in the summer months.
2. momentum builds in the fall, which correlates with the start of school.
3. there's a big spike in usage in the winter season, but not necessarily right at Christmas.

How to leverage these patterns is still TBD.

Here's the schema count for tappr.tv on Parse:

And here are some random observations from these numbers:

• > 60% of people sign in anonymously (identities/users)
• only ~34% of users have music in their music library (subscriptions/users)
• ~18% of all users create a dance (dances/users)
• > 50% of users with music create a dance

A deeper look tells me that ~80% of the identities are Facebook, and Twitter is a distance 2nd. I should add support for Sina Weibo and Tencent Weibo.

And finally, here's a look at the estimated age and distribution:

Nothing unexpected here, really. Am looking forward to see this graph in 5 years.