Segmentation: App usage

To create a segment based on a specific app usage condition, select App usage from the from the data categories dropdown list. Once you have added the relevant criteria outlined below, click Save. The data available is:

Tag

Tags are predefined keys against metrics being tracking on your app. More info can be found on the Attributes & tags page.

A number on input fields and drop lists are presented.

In the first input field start typing the tag name you wish to use, the name will be completed for you or a pick list of matching names is provided, select the one required. Select the action you want to test against this tag from the first drop list, select the time comparison from the next then enter a corresponding time value in the next input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users who have hit a 'view support page' tag at least one in the last 5 days.The example above shows a condition that applies to users who have hit a 'view support page' tag at least one in the last 5 days.

The example above shows a condition that applies to users who have hit a 'view support page' tag at least one in the last 5 days.

Tag with value

This is an extension of the tag segment above, with the addition of testing when your tag contains a value. In our example, this is a country.

In the first input field start typing the tag name you wish to use, the name will be completed for you or a pick list of matching names is provided, select the one required. Select the comparison you want to make on the tag value from the first drop list; then enter the comparison value in the second input field.

Now the process is the same as the tag segment above. Select the action you want to test against this tag from the next drop list, select the time comparison from the next then enter a corresponding time value in the next input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users who have hit a 'country' tag that equals to Ireland at least one in the last 15 days.The example above shows a condition that applies to users who have hit a 'country' tag that equals to Ireland at least one in the last 15 days.

The example above shows a condition that applies to users who have hit a 'country' tag that equals to Ireland at least one in the last 15 days.

Event

A number on input fields and drop lists are presented.

In the first input field start typing the event name you wish to use, the name will be completed for you or a pick list of matching names is provided, select the one required. Select the action you want to test against this tag from the first drop list, select the time comparison from the next then enter a corresponding time value in the next input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users who didn't hit 'Order Started' event in the last 5 days.The example above shows a condition that applies to users who didn't hit 'Order Started' event in the last 5 days.

The example above shows a condition that applies to users who didn't hit 'Order Started' event in the last 5 days.

Event with value

This is an extension of the event segment above, with the addition of testing when your event contains a value. In our example, this is an event for a completed order order-complete.

In the first input field start typing the event name you wish to use, the name will be completed for you or a pick list of matching names is provided, select the one required. Select the comparison you want to make on the event value from the first drop list; then enter the comparison value in the second input field.

Now the process is the same as the event segment above. Select the action you want to test against this evet from the next drop list, select the time comparison from the next then enter a corresponding time value in the next input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users who have hit a 'order.complete' event that contains the keyword 'soaps' at least one in the last 5 days.The example above shows a condition that applies to users who have hit a 'order.complete' event that contains the keyword 'soaps' at least one in the last 5 days.

The example above shows a condition that applies to users who have hit a 'order.complete' event that contains the keyword 'soaps' at least one in the last 5 days.

Metric

A number on input fields and drop lists are presented.

In the first input field start typing the metric name you wish to use, the name will be completed for you or a pick list of matching names is provided, select the one required. Select the action you want to test against this tag from the first drop list, select the time comparison from the next then enter a corresponding time value in the next input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users whose revenue is more than 10 in the last 8 hours.The example above shows a condition that applies to users whose revenue is more than 10 in the last 8 hours.

The example above shows a condition that applies to users whose revenue is more than 10 in the last 8 hours.

App opens

A number on input fields and drop lists are presented.

Select the comparison you want to make against app opens from the first drop list and a corresponding test value in the first input field, select the time comparison from the next drop list then enter a corresponding time value in the following input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users who had more than 3 app opens in the last 1 day.The example above shows a condition that applies to users who had more than 3 app opens in the last 1 day.

The example above shows a condition that applies to users who had more than 3 app opens in the last 1 day.

App downloaded

A number on input fields and drop lists are presented, with the test being whether your app has been downloaded by a user device.

Select the time comparison from the first drop list then enter a corresponding time value in the input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to devices that downloaded the app in the last 15 days.The example above shows a condition that applies to devices that downloaded the app in the last 15 days.

The example above shows a condition that applies to devices that downloaded the app in the last 15 days.

App last opened

A number on input fields and drop lists are presented, with the test being when your app was last opened.

Select the time comparison from the first drop list then enter a corresponding time value in the input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users who opened the app in the last 5 days.The example above shows a condition that applies to users who opened the app in the last 5 days.

The example above shows a condition that applies to users who opened the app in the last 5 days.

Webpush opt-in

A number on input fields and drop lists are presented, with the test being whether a website visitor has opted in to webpush.

Select the time comparison from the first drop list then enter a corresponding time value in the input field and finally a qualifying time reference from the last drop list.

The example above shows a condition that applies to users who opted-in to web push in the last 3 hours.The example above shows a condition that applies to users who opted-in to web push in the last 3 hours.

The example above shows a condition that applies to users who opted-in to web push in the last 3 hours.

Updated 2 months ago


Segmentation: App usage


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