Device / User activity

Launches (d)

The number of launches for the selected report period.

A launch is considered a new one if the app has been inactive on a device for 30 seconds (by default). For example, it happens when the app is launched 30 seconds after the phone was locked or the app went into the background mode.

LaunchesFlow metric
Launches CACurrent Attribution metric
Launches LTLife Time metric
Launches ATAttribution Time metric

Launches (u)

The number of launches for the selected report period.

A launch is considered a new one if the app has been inactive on a device for 30 seconds (by default). For example, it happens when the app is launched 30 seconds after the phone was locked or the app went into the background mode.

LaunchesFlow metric
Launches LTLife Time metric

Authorisations

The total number of authorisations during the selected report period. It's a sum of Login events, tracked by myTracker with user ID.

To log the Authorisation events, you need to configure SDK for iOS, Android, Unity, Web platforms, or send events via S2S API.

AuthorisaionsFlow metric
Authorisaions LTLife Time metric

Sessions (d)

The total number of sessions over the selected time period.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

SessionsFlow metric
Sessions CACurrent Attribution metric
Sessions LTLife Time metric
Sessions ATAttribution Time metric

Sessions (u)

The total number of sessions over the selected time period.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

SessionsFlow metric
Sessions LTLife Time metric

Broken sessions (d)

The total number of broken sessions over the selected report period.

Session is considered to be broken if we don't know it's stop time. This happens in two cases:

  1. When operating system forces mobile application stop.
  2. When mobile application crashes.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Broken sessionsFlow metric
Broken sessions CACurrent Attribution metric
Broken sessions LTLife Time metric
Broken sessions ATAttribution Time metric

Broken sessions (u)

The total number of broken sessions over the selected report period.

Session is considered to be broken if we don't know it's stop time. This happens in two cases:

  1. When operating system forces mobile application stop.
  2. When mobile application crashes.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Broken sessionsFlow metric
Broken sessions LTLife Time metric

Unique sessions (d)

The number of sessions from different devices.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Unique sessionsFlow metric
Unique sessions CACurrent Attribution metric
Unique sessions LTLife Time metric
Unique sessions ATAttribution Time metric

Unique sessions (u)

The number of sessions made by different users.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Unique sessionsFlow metric
Unique sessions LTLife Time metric

Average session duration (d)

The average session duration in seconds during the specified period.

Avg. session dur. = total duration of all sessions /  number of sessions (rounded down).

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Avg. session dur., secFlow metric
Avg. session dur., sec CACurrent Attribution metric
Avg. session dur., sec LTLife Time metric
Avg. session dur., sec ATAttribution Time metric

Average session duration (u)

The average session duration in seconds during the specified period.

Avg. session dur. = total duration of all sessions /  number of sessions (rounded down).

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Avg. session dur., secFlow metric
Avg. session dur., sec LTLife Time metric

Median session duration (d)

The median session duration in seconds during the specified period.

Median session duration is defined by the number that divides a sorted ascending list of durations of all sessions in half (excluding broken sessions). For example, if durations are -1 (broken), 1 sec, 5 sec, 6 sec, then the median session duration is 5 sec.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Median session dur., sec.Flow metric
Median session dur., sec. CACurrent Attribution metric
Median session dur., sec. LTLife Time metric
Median session dur., sec. ATAttribution Time metric

Median session duration (u)

The median session duration in seconds during the specified period.

Median session duration is defined by the number that divides a sorted ascending list of durations of all sessions in half (excluding broken sessions). For example, if durations are -1 (broken), 1 sec, 5 sec, 6 sec, then the median session duration is 5 sec.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Median session dur., sec.Flow metric
Median session dur., sec. LTLife Time metric

Average unique session duration (d)

The average session duration in seconds per device during the specified period.

Avg. session dur. per device = sum of average sessions durations of each device /  number of devices.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Avg. unique session dur., sec.Flow metric
Avg. unique session dur., sec. CACurrent Attribution metric
Avg. unique session dur., sec. LTLife Time metric
Avg. unique session dur., sec. ATAttribution Time metric

Average unique session duration (u)

The average session duration in seconds per user during the specified period.

Avg. session dur. per user = sum of average sessions durations of each user /  number of users.

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Avg. unique session dur., sec.Flow metric
Avg. unique session dur., sec. LTLife Time metric

Median unique session duration (d)

The median session duration in seconds per device during the specified period.

Median session duration per device is defined by the number that divides a sorted ascending list of median sessions durations of each device in half (excluding broken sessions).

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Median unique session dur., sec.Flow metric
Median unique session dur., sec. CACurrent Attribution metric
Median unique session dur., sec. LTLife Time metric
Median unique session dur., sec. ATAttribution Time metric

Median unique session duration (u)

The median session duration in seconds per user during the specified period.

Median session duration per user is defined by the number that divides a sorted ascending list of median sessions durations of each user in half (excluding broken sessions).

The session is a time interval during which the user has not interrupted interaction with the application. For mobile apps, the session starts with the launch and stops when the application has spent more than 30 seconds in the background. For web apps, the session starts with page view and stops when more than 30 minutes have passed since the last view.

Median unique session dur., sec.Flow metric
Median unique session dur., sec. LTLife Time metric

Hits (d)

The total number of page views during the selected report period (for the Web only)

HitsFlow metric
Hits LTLife Time metric

Hits (u)

The total number of page views during the selected report period (for the Web only)

HitsFlow metric
Hits LTLife Time metric

App updates

The total number of application version updates occurred during the selected report period.

App updatesFlow metric
App updates CACurrent Attribution metric
App updates LTLife Time metric
App updates ATAttribution Time metric

Activity days (d)

The average number of active days per device for the selected report period. An active day is a day for which at least one event on the device was logged (a registration, authorization, launch, hit, in-app impression, or payments).

Activity days FlowFlow metric
Activity days CACurrent Attribution metric
Activity days LTLife Time metric
Activity days ATAttribution Time metric

Activity days (u)

The average number of active days per user for the selected report period. An active day is a day for which at least one user action was logged (a registration, authorization, launch, hit, in-app impression, or payment).

Activity days FlowFlow metric
Activity days LTLife Time metric

Active devices

The number of devices for which at least one event was logged during the selected period (a registration, authorization, launch, hit, in-app impression, or payment).

Active devicesFlow metric
Active devices CACurrent Attribution metric
Active devices LTLife Time metric
Active devices ATAttribution Time metric

Active users (u)

The number of users for whom at least one event was logged during the selected period (a registration, authorization, launch, hit, in-app impression, or payment).

Active usersFlow metric
Active users LTLife Time metric

DAU (d)

DAU — the number of active devices per day.

On a daily basis, system computes the number of active devices. Average of this metric for aggregation period would be DAU value.

DAUFlow metric
DAU CACurrent Attribution metric

DAU (u)

DAU — the number of active users per day.

On a daily basis, system computes the number active users. Average of this metric for report period would be DAU value.

DAUFlow metric

WAU (d)

WAU — the average number of active devices per the past 7 days.
On a daily basis, system computes the number of devices tah has been active in the past 7 days. Average of the present measure for report period would be WAU.

In other words, WAU is computed using moving 7 days window. For example, if the report is aggregated by days, than WAU for 2021-05-14 would show the number of devices has been active between 2021-05-08 and 2021-05-14 inclusive.

This metric is more complicated than WAU in the classic sense.
Note new metrics WAU per week and WAU per 7 days

WAUFlow metric
WAU CACurrent Attribution metric

WAU per week (d)

WAU per week is the number of active devices in one calendar week (Mon, Tue, etc.).

In contrast to the WAU metric, WAU per week shows the actual number of devices and processes data for the selected report period:

Report period WAU per week/ WAU
Mon 09/01 -
Sun 09/07
WAU per week: devices that were active from 09/01 to 09/07
WAU: average value of the active devices calculated from 08/26 to 09/07
Mon 09/01 -
Thu 09/04
WAU per week: devices that were active from 09/01 to 09/04
WAU: average value of the active devices calculated from 08/26 to 09/04
Thu 09/04 -
Wed 09/10
WAU per week: average value of WAU Thu-Sun and WAU Mon-Wed
WAU: average value of the active devices calculated from 08/29 to 09/10
Mon 09/01 -
Sun 09/14
WAU per week: average value of WAU 09/01-09/07 and WAU 09/08-09/14
WAU: average value of the active devices calculated from 08/26 to 09/14

WAU per weekFlow metric
WAU per week CACurrent Attribution metric

WAU per 7 days (d)

WAU per 7 days is the number of active devices in 7 days.

In contrast to the WAU metric, WAU per 7 days shows the actual number of devices and processes data for the selected report period:

Report period WAU per 7 days/ WAU
Mon 09/01 -
Sun 09/07
WAU per 7 days: devices that were active from 09/01 to 09/07
WAU: average value of the active devices calculated from 08/26 to 09/07
Mon 09/01 -
Thu 09/04
WAU per 7 days: devices that were active from 09/01 to 09/04
WAU: average value of the active devices calculated from 08/26 to 09/04
Thu 09/04 -
Wed 09/10
WAU per 7 days: devices that were active from 09/04 to 09/10
WAU: average value of the active devices calculated from 08/29 to 09/10
Mon 09/01 -
Sun 09/14
WAU per 7 days: average value of WAU 09/01-09/07 and WAU 09/08-09/14
WAU: average value of the active devices calculated from 08/26 to 09/14

WAU per 7 daysFlow metric
WAU per 7 days CACurrent Attribution metric

WAU (u)

WAU — the average number of active users per the past 7 days.
On a daily basis, system computes the number of users been active in the past 7 days. Average of the present measure for report period would be WAU.

In other words, WAU is computed using moving 7 days window. For example, if the report is aggregated by days, than WAU for 2021-05-14 would show the number of users has been active between 2021-05-08 and 2021-05-14 inclusive.

This metric is more complicated than WAU in the classic sense.
Note new metrics WAU per week and WAU per 7 days

WAUFlow metric

WAU per week (u)

WAU per week is the number of active users in one calendar week (Mon, Tue, etc.).

In contrast to the WAU metric, WAU per week shows the actual number of users and processes data for the selected report period:

Report period WAU per week/ WAU
Mon 09/01 -
Sun 09/07
WAU per week: users who were active from 09/01 to 09/07
WAU: average value of the active users calculated from 08/26 to 09/07
Mon 09/01 -
Thu 09/04
WAU per week: users who were active from 09/01 to 09/04
WAU: average value of the active users calculated from 08/26 to 09/04
Thu 09/04 -
Wed 09/10
WAU per week: average value of WAU Thu-Sun and WAU Mon-Wed
WAU: average value of the active users calculated from 08/29 to 09/10
Mon 09/01 -
Sun 09/14
WAU per week: average value of WAU 09/01-09/07 and WAU 09/08-09/14
WAU: average value of the active users calculated from 08/26 to 09/14

WAU per weekFlow metric

WAU per 7 days (u)

WAU per 7 days is the number of active users in 7 days.

In contrast to the WAU metric, WAU per 7 days shows the actual number of users and processes data for the selected report period:

Report period WAU per 7 days/ WAU
Mon 09/01 -
Sun 09/07
WAU per 7 days: users who were active from 09/01 to 09/07
WAU: average value of the active users calculated from 08/26 to 09/07
Mon 09/01 -
Thu 09/04
WAU per 7 days: users who were active from 09/01 to 09/04
WAU: average value of the active users calculated from 08/26 to 09/04
Thu 09/04 -
Wed 09/10
WAU per 7 days: users who were active from 09/04 to 09/10
WAU: average value of the active users calculated from 08/29 to 09/10
Mon 09/01 -
Sun 09/14
WAU per 7 days: average value of WAU 09/01-09/07 and WAU 09/08-09/14
WAU: average value of the active users calculated from 08/26 to 09/14

WAU per 7 daysFlow metric

MAU (d)

MAU — the average number of active devices per the past 30 days.
On a daily basis, system computes the number devices that has been active in the past 30 days. Average of the present measure for report period would be MAU.

In other words, MAU is computed using moving 30 days window. For example, if the report is aggregated by days, than MAU for 2021-05-14 would show the number of devices been active between 2021-04-15 and 2021-05-14.

This metric is more complicated than MAU in the classic sense.
Note new metrics MAU per month and MAU per 30 days

MAUFlow metric
MAU CACurrent Attribution metric

MAU per month (d)

MAU per month is the number of active devices in one calendar month (Jan, Feb, etc.).

In contrast to the MAU metric, MAU per month shows the actual number of devices and processes data for the selected report period:

Report period MAU per month/ MAU
10/01 - 10/31 MAU per month: devices that were active from 10/01 to 10/31
MAU: average value of the active devices calculated from 09/02 to 10/31
10/01 - 10/14 MAU per month: devices that were active from 10/01 to 10/14
MAU: average value of the active devices calculated from 09/02 to 10/14
09/14 - 10/15 MAU per month: average value of MAU 09/14-09/30 and MAU 10/01-10/15
MAU: average value of the active devices calculated from 08/16 to 10/15
09/01 - 10/31 MAU per month: average value of MAU 09/01-09/30 and MAU 10/01-10/31
MAU: average value of the active devices calculated from 08/03 to 10/31

MAU per monthFlow metric
MAU per month CACurrent Attribution metric

MAU per 30 days (d)

MAU per 30 days is the number of active devices in 30 days.

In contrast to the MAU metric, MAU per 30 days shows the actual number of devices and processes data for the selected report period:

Report period MAU per 30 days/ MAU
09/01 - 09/30 MAU per 30 days: devices that were active from 09/01 to 09/30
MAU: average value of the active devices calculated from 08/03 to 09/30
10/01 - 10/31 MAU per 30 days: average value of MAU 10/01-10/30 and MAU 10/31
MAU: average value of the active devices calculated from 09/02 to 10/31
10/01 - 10/14 MAU per 30 days: devices that were active from 10/01 to 10/14
MAU: average value of the active devices calculated from 09/02 to 10/14
09/14 - 10/15 MAU per 30 days: devices that were active from 09/14 to 10/15
MAU: average value of the active devices calculated from 08/16 to 10/15
09/01 - 10/31 MAU per 30 days: average value of MAU 09/01-09/30, MAU 10/01-10/30 and MAU 10/31
MAU: average value of the active devices calculated from 08/03 to 10/31

MAU per 30 daysFlow metric
MAU per 30 days CACurrent Attribution metric

MAU (u)

MAU — the average number of active users per the past 30 days.
On a daily basis, system computes the number of users been active in the past 30 days. Average of the present measure for report period would be MAU.

In other words, MAU is computed using moving 30 days window. For example, if the report is aggregated by days, than MAU for 2021-05-14 would show the number of users been active between 2021-04-15 and 2021-05-14.

This metric is more complicated than MAU in the classic sense.
Note new metrics MAU per month and MAU per 30 days

MAUFlow metric

MAU per month (u)

MAU per month is the number of active users in one calendar month (Jan, Feb, etc.).

In contrast to the MAU metric, MAU per month shows the actual number of users and processes data for the selected report period:

Report period MAU per month/ MAU
10/01 - 10/31 MAU per month: users who were active from 10/01 to 10/31
MAU: average value of the active users calculated from 09/02 to 10/31
10/01 - 10/14 MAU per month: users who were active from 10/01 to 10/14
MAU: average value of the active users calculated from 09/02 to 10/14
09/14 - 10/15 MAU per month: average value of MAU 09/14-09/30 and MAU 10/01-10/15
MAU: average value of the active users calculated from 08/16 to 10/15
09/01 - 10/31 MAU per month: average value of MAU 09/01-09/30 and MAU 10/01-10/31
MAU: average value of the active users calculated from 08/03 to 31/10

MAU per monthFlow metric

MAU per 30 days (u)

MAU per 30 days is the number of active users in 30 days.

In contrast to the MAU metric, MAU per 30 days shows the actual number of users and processes data for the selected report period:

Report period MAU per 30 days/ MAU
09/01 - 09/30 MAU per 30 days: users who were active from 09/01 to 09/30
MAU: average value of the active users calculated from 08/03 to 09/30
10/01 - 10/31 MAU per 30 days: average value of MAU 10/01-10/30 and MAU 10/31
MAU: average value of the active users calculated from 09/02 to 10/31
10/01 - 10/14 MAU per 30 days: users who were active from 10/01 to 10/14
MAU: average value of the active users calculated from 09/02 to 10/14
09/14 - 10/15 MAU per 30 days: users who were active from 09/14 to 10/15
MAU: average value of the active users calculated from 08/16 to 10/15
09/01 - 10/31 MAU per 30 days: average value of MAU 09/01-09/30, MAU 10/01-10/30 and MAU 10/31
MAU: average value of the active users calculated from 08/03 to 10/31

MAU per 30 daysFlow metric