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 tracked 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.

11111111

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.

22082208

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

This allows you to filter by event hits and optionally add criteria against event properties.

Start typing the event name you wish to use in the first input field, and select it from the dropdown menu that is shown. Select the action you want to test against this event from the next dropdown menu (for example, whether the event has been hit exactly). Select the time comparison from the next input and then enter a corresponding time value in the next input field and finally a qualifying time reference from the last dropdown menu.

To additionally segment based on event properties click the Add property button. New fields will be displayed where you can type the property name, the action that you want to evaluate and the criteria value.

πŸ‘

When segmenting based on event properties, both conditions need to be true: the targeted audience needs to have hit the named event and also satisfy the event property conditions.

For example, if you require an order event to be hit four times where the item is a T-shirt, it will not match for a user that has had four order events when only one of them is a T-shirt.

15471547

This example shows a condition that applies to users who hit the 'purchase' event at least once in the last 5 days, that also has a property within the event payload called 'amount' that is higher than 100.

πŸ“˜

It is possible to segment based on several event properties. Properties can be added by clicking the Add property button.

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 event 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.

26562656

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.

22082208

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.

22142214

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.

22122212

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.

22102210

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.

22102210

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


Did this page help you?