Yes, you can query both app and web data in the Active Users Report by selecting app metrics and web metrics when creating a report view.

In the Active Users Report, a unique user is determined by using cookie IDs or device-level UUIDs (Universally Unique Identifier). Invalid UUIDs are determined to be a single unique user.

Unique Users

The number of unique users is different from the number of events. Even though an event occurred 10 times during the set date range, the number of unique users is counted as 1 if all 10 events were performed by a single user. For more details on the identifiers used for determining unique users by reports, refer to this article.

The Active Users Report aggregates unique users based on the set granularity, and therefore, the sum of the DAU for a month is different from the MAU for the same date range.

For example, let's say a user launched your app every day for 30 days. The Active User count is aggregated based on the set granularity.

• Daily: Airbridge aggregates daily unique users. Therefore, the DAU is 1 for each day is 1, and the sum of the DAU is 30.

• Monthly: Airbridge aggregates monthly unique users. Therefore, the MAU is 1.

The Active Users Report aggregates unique users based on the set granularity. When the granularity is set to Monthly, the Active User Report shows the number of unique users who performed at least 1 app event within a month.

Therefore, if the MAU is 1, it means 1 unique user performed at least 1 app event within a month. However, you cannot determine whether this user used your app every day or just 1 day during a month.

The following users are counted as 1 monthly active user (MAU).

• A user who launched the app only once within a month

• A user who launched the app once every other day within a month

• A user who launched the app once every day within a month

Upon configuring GroupBys in the Active Users Report, the unique user count is reaggregated based on the set GroupBys. As a result, the sum of the items after applying the GroupBys may be larger than before.

For example, let's say a user engaged with an ad from channel A and channel B. When selecting Channel as a GroupBy, the user is counted as 1 active user for each channel. This may appear as 2 active users as a sum. However, when removing Channel as a GroupBy, only 1 user will be counted as an active user.