Welcome to the Explore tool guide - This is where you can get creative with your graphs. In short, this feature lets you experiment with different graph types and metrics, using both predefined metrics as well as your own custom ones. You can see all of these in different visualizations, and even apply multi-dimensional filtering.

Custom Queries

This feature allows you to save the modifications you make to ranges of data points, for easily accessing them at a later stage, when you want to check for updates and new data. This saves the time of having to re-create a visualisation from the explore tool, each time you want to have a look at your data.

Custom Queries

Using Splits

Splits are a useful feature to look at different groups of dimensions and events in the same filter. Let’s say you wanted to look at the engagement of your game on different mobile devices and in different countries, this is made simple by splits. Let’s take a look at how this is done on our demo game, which you will have access to on your GA account overview page.

Using Aggregations

Some event types include numerical values, such as scores, virtual currency counts, etc. and Sum and mean calculations can be applied to them. Events without numerical values attached won’t show a sum or mean, but you can get their count. We are also in the process of introducing an aggregation called ‘Histogram’, which is currently limited only to looking at session length distribution. You can set the aggregation according to your preferences.


Key Definitions:

  • Mean - The average number of times an event was sent by a player, For instance, the mean of ‘New Users’ for time period of a week would be the average number of users for from the 7 days.
  • Count - The number of times an event was sent. For instance, the number of ‘New Users’ over a period of time.
  • Sum - Is the combined total of an event. For instance, you can look at the sum of transactions (revenue) which will be the total revenue generated by transactions over a period of time.
  • Histogram - An accurate representation on the distribution of a metric. For instance, number of sessions.