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Basic and Advanced Splits

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overview

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We’ll start with a basic but very important question and walk through how we would get to the answer. Let’s assume we created a casual casino/slot game and the question we’re looking to answer is: how does the number of free spins a user starts with impact their subsequent purchases?

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Step 1: Select the user group you are looking into

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In our case, we are measuring users in the US who have either one of the 3 spins packages. To select them just add filters: country can be found under dimensions, and the spins under business events.


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Step 2: Compare by an event or dimension type

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Once you’ve selected the filters, you can easily pick which one to compare by using the Split dropdown at the top right.

Selected dimensions and events will already show up there as options, if you have selected them. In our case, we will split by Event ID to get the revenue per transaction for each user group.


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Step 3: Compare any two groups of Users with Advanced Splits

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Let’s say you wanted to compare users in the US with those in Europe.

Simply splitting by country is not going be enough, you would also want to group certain countries together. Cases like these, where multiple criteria need to be grouped to define a population, can also be easily addressed by using the Advanced Split. Simply select the option at the top right of the dashboards, and then add a plot for every user group you would like to create.

In our case, I created two: one for users in the UK, Germany, and Denmark, who triggered spin events, and one for users in the US who triggered those same events. Each plot has its own filter picker, where you can select any dimension or event type that your audience is characterized by.

Using splits to compare user groups is a great way to get key insights quickly and easily.

 

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