Understanding the App Store

I’ve been working on tools to better understand the app store, they’ve been made available as part of Appiity.

My underlying motivation is to try and help developers make better sense of the app store (different categories, countries, competitors, etc.). It’s also scratching a personal itch of mine around application discovery by providing a historical performance context around each application.

I’m looking for feedback and to engage with more developers.

 

Key Features:

  • 30 day trailing performance for any ranked application (actually have > 12 months worth of data but am only actively exposing a months worth)
  • top paid / free / grossing chart positions vs. pricing (measure the actual impact of a price adjustment on gross position)
  • ratings per app per version (what impact does releasing new versions have on chart positions)
  • apps per developer (how are all the apps from a particular developer currently or historically performing)
  • iPhone/iPad/Mac app tracking

 

If you’ve published an application or are actively developing one, I’d like to hear your thoughts. I’m quite passionate about helping developers better understand their target market/competitors, and this is my first attempt at addressing some immediate needs.

If you’re looking for an alternative way to discover quality applications, I’d encourage you to check it out as well. I’ve found the historical performance of an application and it’s developer to be a good indicator of it’s quality. We all know that dropping your price certainly doesn’t improve the quality of your app and yet it often can boost your ranking.

Feel free to follow us on Twitter: @appiity

What’s new with Appiity?

It’s been a couple months now since I announced my latest project, Appiity.

Identifying trends on the iTunes App Store and making it easier to find great apps!

At that time, it was the cumulation of over a years worth of data from the iTunes Marketplace.  When launched, it officially supported US, Canada and UK app stores.

I’m happy to say that since then, the platform has been expanded to include:

  • Austrailia
  • China
  • Germany
  • France
  • Hong Kong
  • Isreal
  • Korea
  • Japan
  • Sweden

… with additional countries actively being brought online.

It’s been interesting to look at charts (both historical and present), there is actually a lot of variability on charts country-to-country.  Check it out for yourself!  Only the last 30 days is being exposed via the web interface, but there is a lot more data available.  Contact me if you’re interested in learning more.

Further to that, I’m also reaching out to developers with the goal of understanding the pain they’re experiencing when building apps.  If you have five minutes, I would appreciate your feedback on this survey.

Lastly, I’m proud to announce the first public preview of our application search.  It’s *live *and links into detailed application pages that show, in detail, an applications performance over the past 30 days.  Want to understand the impact of an Electronic Arts sale?  We have that data.

 

Take some time to explore the site, I’d love your feedback.

That’s all for this week!

 

 

EA Easter Sale Performance, One Week Later

A quick follow-up to the post from earlier this week.

 

There’s still some actual analysis to be done but you can clearly see the state of EA’s applications before, during and after the sale.

It was definitely a winning move for EA.

At the height of the sale, EA had more than 20 iPhone apps appearing in the Top 100.  Prior to the sale starting, there were only 10.  Today, 4 or 5 days after the sale ended, there are 12.

The true impact is better measured on the Top Grossing charts.

For a better idea of what those impacts were, checkout Electronic Arts on Appiity.