Metric types

Various types of Constructor metrics let you see the statistics from different sides. For example, you can summarise revenue for the month (Flow), or take a look at revenue on a specific campaign (CA), evaluate the amount of money received from users who came in this month (LT) or money received from re-engaged users (AT).

Use all types of metrics to get complete data on your project.

CA and AT metrics make sense for remarketing campaigns, that is reattribution. In the case of the first attribution campaigns, metrics will be the same as Flow and LT.

Flow metrics

Flow metrics represent events that have occurred during the report period. These metrics show what happened in a particular time and let you track the overall growth and development of the project.

Hover your mouse over the picture to see Flow events

с
ATTRIBUTION
source 1
с
REATTRIBUTION
source 2
с
REATTRIBUTION
source 3
с
NOW
Flow = 2
с
an event: launch, purchase etc.
report period

Use Flow metrics, for example, to measure app revenue for certain days, weeks, or months. In the figure below, the Revenue metric shows the amount of money received in one calendar month.

LT metrics

Life Time (LT) metrics represent events that have happened for the entire lifetime of devices/users that appeared during the report period. LT metrics allow you to view statistics on the audience attracted at a certain time and to assess the effectiveness of the related actions (advertising campaigns, promotions, updates, etc.).

Hover your mouse over the picture to see LT events

ATTRIBUTION
source 1
с
REATTRIBUTION
source 2
с
REATTRIBUTION
source 3
с
NOW
LT = 3
с
an event: launch, purchase etc.
device/user appearance
report period
device/user lifetime

Use LT metrics, for example, to calculate how much money users have brought since they appeared in the application. In the figure below, the Revenue LT metric shows the amount of money received from users who appeared in May 2020.

CA metrics

Current Attribution (CA) metrics represent events that have occurred during the report period within the attribution that relevant for the event. CA metrics allow you to view statistics related to certain traffic sources.

Hover your mouse over the picture to see CA events

ATTRIBUTION
source 1
с
REATTRIBUTION
source 2
с
REATTRIBUTION
source 3
с
NOW
CA source 1 = 1
CA source 2 = 1
CA source 3 = 0
с
an event: launch, purchase etc.
device/user appearance
report period
source 1 attribution period
source 2 attribution period
source 3 attribution period

Use CA metrics with a campaign break down, for example, to measure app revenue by traffic source for certain days, weeks, or months. In the figure below, the Revenue CA metric shows the amount of money received in a month through various advertising campaigns.

Compare CA with Flow metric that related to the first attribution. For example, 213,70 USD came from the myTarget campaign, while 551,53 USD came from devices that were initially attracted by myTarget but that at the time of payment (in May) could already be attributed to GoogleAds.

AT metrics

Attribution time (AT) metrics represent events happening on devices, attributed during the report period for all time up to next the attribution time. AT metrics allow you to view statistics on the audience attracted at a certain time and a certain campaign.

Hover your mouse over the picture to see AT events

ATTRIBUTION
source 1
с
REATTRIBUTION
source 2
с
REATTRIBUTION
source 3
с
NOW
AT source 1 = 1
AT source 2 = 1
AT source 3 = 1
с
an event: launch, purchase etc.
device/user appearance
report period
source 1 attribution period
source 2 attribution period
source 3 attribution period

Use AT metrics, for example, to calculate how much money users have brought through various advertising campaigns. In the figure below, the Revenue AT metric shows the amount of money received from users who attracted in May 2020 by different campaigns.

Compare AT with Life Time metric that related to the first attribution. For example, among the 196,71 USD generated in the lifetime of users who first appeared in May as a result of myTarget campaign, only 94,56 USD received as part of myTarget attribution, while the rest of the money was generated during the re-attribution of other campaigns.