Types of tracking consent policies in Usage Insights
There are five types of tracking consent policies that you can define for individual countries. This option provides you with the flexibility to define tracking policies according to the country and even according to users or roles.
There are default settings for three different groups of users:
- Users from the US
- Users from EU, UK, and European Free Trade Association (EFTA) countries (Iceland, Liechtenstein, Norway, and Switzerland)
- Users from all other countries.
The preceding list details the tracking consent policies available and highlights the default settings for US users; EU, EFTA, and UK users; and users from all other locations.
- Explicit Opt-in
- Users are presented with a message to select whether to opt in or decline to be tracked. This policy is the default consent policy for EU, EFTA, and UK users.
- Notice
- Users are presented with a message explaining that their activity in the application will be tracked. This policy is the default consent policy for non-US and non-EU, EFTA, and UK users.
- No Consent Required
- Users are automatically tracked and aren't presented with a message that asks if they want to opt in or decline to be tracked. This policy is the default consent policy for US users.
- Basic Tracking
- The basic tracking consent policy enables users with the admin role to obtain usage metrics only. This consent policy tracks and processes user activity but only stores basic user data. This basic data includes hashed user IDs (which is the process of hashing the end-user identifier before information is sent to the ServiceNow Usage Insights server), and the storing of partial session details including the session time.
- Disabled
- No tracking of users occurs in any of the Usage Insights tracked applications. Usage metrics aren't obtained from these users.
Note:
Consent policies influence the numerical KPIs of the Usage Insights dashboard by updating the relevant counters. This process still enables you to view metrics for your entire user base. For example, aggregated data like the number of event counts
relating to all users.