How to use app analytics as a basis for development decisions? Case: Nordic Business Forum app
We’ve made the app for the Nordic Business Forum conference for a couple of years now. NBForum as it is called, is a once a year event, so there is plenty of time to iterate the product, the event and the app for every year. NBForum management does an extraordinary job in creating an event that […]
We’ve made the app for the Nordic Business Forum conference for a couple of years now. NBForum as it is called, is a once a year event, so there is plenty of time to iterate the product, the event and the app for every year. NBForum management does an extraordinary job in creating an event that is worth 5 stars, so we try to do an app worthy of that too.
We have spent time again in Flurry analysing the usage of the NBForum app, because that’s what we have to do in order to make decisions about future development of the app (see the analysis from last year). We like to know when the app was downloaded, who used it, when did they use it and especially what features did they use. That way we can not only plan the content and features of future event apps, but we can think of new, better marketing campaigns in case the app did not find all potential users yet.
Features
This year the features that were used the most in the Nordic Business Forum app were “program” and “program detail”, meaning more info on the speech and speaker. Whereas “info” about the location and event in general was not looked at many times at all. That may be because a large percentage of the visitors are nowadays not first timers to the event.
When was the app downloaded
We know that most users will download an event specific app approximately on the day before the event. Nordic Business Forum was held on the 1st and 2nd of October on 2015. Here are the download stats for NBForum 2015 app:
Time and sessions spent in the app
Usage throughout the event and the affect of push messages
The app was used the most in the mornings and had an increase of about 20% after push messages were sent:
Value of the iPhone, Android and Windows Phone users
The main difference between the users of different platforms iOS (iPhones and iPads), Android (Samsungs, LGs etc) and Windows Phone were these. iPhone and iPad users being the most valuable group.
How would you use these stats in making the app better for next year?
