How to use data from the Behaviour section

About

The Behaviour section displays data on how users use the guest app. Here you will find data on the number of sessions, the number of pages visited per session, viewing time, or bounce rate, as well as the most visited pages and those with the most clicks.

This section is composed of three subsections, explained in detail throughout this article:

Sessions and pageviews
Most visited
Frontpage usage

Before getting started

Make sure you have access to Insights > Analytics. Then, in the left sidebar menu, look for the fourth section: Behaviour.
Ensure the property has had users who have accessed the guest app; otherwise, no data will display.

1. Sessions and pages views

This subsection provides metrics on user sessions in the guest app. For example, you can see how many sessions have been recorded in a day and their duration, among many other data points.

To best use this data, follow the steps below.

Step 1: Choose the data you want to view

You can modify the displayed results in the following ways.

Option 1: Filter data by brand

Depending on your user type [Link] and assigned permissions, you'll see one or more brands in the dropdown.

Option 2: Filter by Hotel

Depending on your user type [Link] and assigned permissions, you'll see one or more hotels in the dropdown.

Option 3: Filter data by date

Using the Date range field, the recorded data can be filtered. Note that the results shown reflect the Europe/Madrid GMT time zone. You can choose the following options:

A specific time period
Last 7 days
Last 30 days
Last 90 days
Last year

Option 4: Compare data with another time period

The Compare to field allows you to view the percentage change of a period compared to another. This value is shown as a percentage and can be positive (if the percentage has grown, it is shown in green) or negative (if the percentage has decreased, it is shown in red). You can choose the following options:

Same period previous week
Same period previous month
Same period previous year

Step 2: Visualize the data

Once you configure the options for displaying sessions data, the results will change based on your selections. The user data is divided in one section:

1. Sessions and page views

This is a special section made up of different charts.

→ Data panels

Total sessions. This is the total number of sessions recorded, based on the parameters and filters you've selected. Keep in mind that a single user can have multiple sessions. A session is counted each time a user accesses the guest app.
Pages/sessions. This is the average number of pages a user visits during a single session.
Average session duration.This is the average duration of all sessions.
Bounce rate. This is the bounce rate, which is the percentage of times a user visits a page and immediately leaves it, divided by the total number of sessions.

→ Area charts and bar charts

Total sessions. This is the total number of sessions recorded, based on the parameters and filters you've selected. Keep in mind that a single user can have multiple sessions. A session is counted each time a user accesses the guest app.
Pageviews. Es el total de páginas visitadas por los usuarios en un tiempo determinado.
Pages per session. This is the average number of pages a user visits during a single session.
Average session duration. This is the average duration of all sessions.

Step 3: Download the data

Once you have viewed the data in the CMS, you have the option to download it. Keep in mind that downloads are done by section. Each section has an Export data button in its top right corner. Clicking this button will automatically download a .csv file to your computer with the same data you are currently viewing in the Insights interface.

2. Most visited

This subsection provides metrics on the most visited services within the guest app.

To best use this data, follow the steps below.

Step 1: Choose the data you want to view

You can modify the displayed results in the following ways.

Option 1: Filter data by brand

Depending on your user type and assigned permissions, you'll see one or more brands in the dropdown.

Option 2: Filter by Hotel

Depending on your user type and assigned permissions, you'll see one or more hotels in the dropdown.

Option 3: Filter data by date

Using the Date range field, the recorded data can be filtered. Note that the results shown reflect the Europe/Madrid GMT time zone. You can choose the following options:

A specific time period
Last 7 days
Last 30 days
Last 90 days
Last year

Option 4: Compare data with another time period

Same period previous week
Same period previous month
Same period previous year

Step 2: Visualize the data

Once you configure the options for displaying sessions data, the results will change based on your selections. The user data is divided in one section:

1. Most visited service type

The data is represented in a table.

The rows are the different features (Restaurants, Spa, Room service, Amenities...).
The first column is Service type, which is the name of the feature in question.
The second column is Sessions. It shows the number of sessions recorded for that feature. A percentage also appears, which shows the change in data compared to the period you selected in the Compare to filter (in green if positive, in red if negative).
The third column is Page views. This is the total number of pages of the specific services that have been visited. Keep in mind that this records visits to the different services within the feature. For example, in the Restaurants feature, the views of the different restaurants you have configured will be recorded.
The fourth column is %. This is the rate of sessions where the Service type or Service Detail was visited against the total of sessions in that hotel
The fifth column is Average session duration. This is the average time that sessions last. A percentage is also shown that displays the change in data compared to the period you selected in the Compare to filter (in green if positive, in red if negative).
The sixth column is Bounce rate. It's the percentage of times a user visits a page and immediately leaves it, divided by the total number of sessions. A bounce can happen for various reasons, such as an error when a user tries to visit a specific page.

Step 3: Download the data

3. Front page usage

This subsection provides metrics on how the guest app's front page is used, including access source, sessions, and clicks. The front page is the main page of the guest app, through which users can navigate to other pages.

To best use this data, follow the steps below.

Step 1: Choose the data you want to view

You can modify the displayed results in the following ways.

Option 1: Filter data by brand

Depending on your user type and assigned permissions, you'll see one or more brands in the dropdown.

Option 2: Filter by Hotel

Depending on your user type and assigned permissions, you'll see one or more hotels in the dropdown.

Option 3: Filter data by date

Using the Date range field, the recorded data can be filtered. Note that the results shown reflect the Europe/Madrid GMT time zone. You can choose the following options:

A specific time period
Last 7 days
Last 30 days
Last 90 days
Last year

Option 4: Compare data with another time period

Same period previous week
Same period previous month
Same period previous year

Step 2: Visualize the data

Once you configure the options for displaying front page data, the results will change based on your selections. The user data is divided in one section:

1. Front page usage

The data is represented in a table.

The rows are the different pages or elements of the guest app that a user clicks or taps.
The first column is Frontpage access. It shows the different pages or elements within the guest app that a user clicks or taps on.
The second column is Type and position. It shows the type and position of the elements on the home page. The letter W refers to a widget, while the letter I represents an item.
The third column is Sessions. It shows the number of sessions a user has entered the specific element. A session is a group of user interactions with the app that occur over a period of time. By default, a session ends after 30 minutes of inactivity.
The fourth column is Clicks. This is a user's tap or click on that element.
The fifth column is % Users clicked. It's the rate of users who view that section and then tap or click on it (% Users Clicked = (Element Sessions / Total Sessions) x 100)

Step 3: Download the data

Next steps

Once you're familiar with the Analytics section in Insights, we recommend the following actions to deepen your understanding and make the most of the available data:

Optimize app navigation: Check the Average session duration and Bounce rate to identify if users can easily find what they are looking for.
Improve front page performance: Analyze Frontpage usage to find out which elements users click on most. Use this information to place the most popular services in a more visible location.
Promote services with low engagement: Use the Most visited data to identify services that receive fewer visits. This will help you decide if you need to promote them more in the app or at the hotel.
Use insights to inform operational decisions: Share findings with relevant hotel teams (F&B, Spa, Front Desk) to improve guest experience or adjust staffing/resources.

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