Analyze custom events in analytics system

We have expanded our Custom Events Report allowing our clients to work faster and more conveniently!

Here is what we have done. We added:

- variety of convenience functions to process custom events, for example, % of Active, that you can use to figure out why the number of certain actions increased - was it due to some changes in the product or due to an increase in user count;

Daily task event game app analytics — Screenshot from devtodev demo

- a set of functions for working with numeric parameters - the average value for an event or user, the sum of values, distributions, etc .;

- the second level of grouping, that you can use to combine frequency, any text or numeric parameters together with a breakdown by user properties;

Let’s take a look at several examples of how you can use this new advanced functionality in your project.

In games:

- if the battle time is passed as a parameter value (friend_battles), then you can not only look at the list of these parameter values but also calculate the average battle time and how it changes with player character level up or how it differs between paying and free users;

Battle time analytics — Screenshot from devtodev demo

In apps:

- find the most commonly used authorization method;

- work out where and what offers pop up most frequent;

- find out how often users use a particular function, at what point in their lives they use it more active (in the first screenshot below you see the users who took daily_bonus 6-10 times a week, and in the second you see that no one did it more than 2 times a day).

Daily bonus analytics games — Screenshot from devtodev demo

Daily bonus analytics apps — Screenshot from devtodev demo

- find out how often users open the store during the day, week, or any other period of time, how this value changes over time, and with the release of new app versions.

devtodev DEMO

Have feedback? We would love to hear it!

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