PERIODS

→ hover over the ℹ️ icon next to a chart’s title to get more information about the date period

Status:

previous day = refers to the current status of the data, which was last updated based on the value of the previous day (e.g. on May 4, the status of May 3 23:59 is displayed).

today = refers to the current status of the data, which is the current day (today). The data shows the most recent update available (reloaded daily around 4AM CET).

l30d = Last 30 days

• Licenses = All Flip licenses available to your company according to the contract. The Channel Filter does not apply to “Total Licences” as Licences can not be assigned to specific Channels.

  Created Users = User accounts created in Flip that are available for use (licenses used). Deleted Users are not considered.

  Onboarded User = Created User who has logged in at least once. Deleted Users are not considered.

  Onboarding Progress % = Onboarded Users / Created Users in %

  MAU = Monthly Active Users, number of unique active users within 30d.

  WAU = Weekly Active Users, number of unique active users within 7d.

  DAU = Daily Active Users, number of unique active users within 24h.

  l30d avg = Last 30-day average: computing the average DAU value of the last 30 days for a more stable indicator (smoothing seasonal fluctuations due to weekdays, holiday seasons, etc.).

  DAU/MAU = ratio of daily active users (last 30d average) to all active users per month (MAU). A DAU/MAU ratio of 50% would mean that your users engage with your app, on average, 15 out of 30 days (= “Stickiness” in %)

  Stickiness = Indicator to measure how on many days Users are active per month. Computed by multiplying the DAU/MAU ratio * 30 days. Example: A value of 15 means that your users engage with your app on 15 out of 30 days (= DAU/MAU ratio of 50%)

  MAU/WAU/DAU % Onboarded = Share of MAU/WAU/DAU in all Onboarded Users (as of the last day of the respective 30/7/1-day period) in %.

  Channel Member = User added to a Channel (Users removed from a Channel are not considered).

   

  USER CALCULATION

  AU / Active User = User who has read at least one post in the newsfeed in the given period of time

  Never-logged-in User = Difference between all users and onboarded users

  Deleted User = former user who no longer exists and is no longer counted as a user because the account has been deleted

   

  💡 USER-CALCULATION:

  Licenses

  = Users + unused Licenses

  = (Onboarded Users + Never-logged-in Users) + unused Licenses

  = ((Active Users + Inactive Users) + Never-logged-in Users) + unused Licenses

• By default, the statistics displayed show the members of all user groups for which you have ‘Analytics’ permission. This also includes all subgroups and their users. Each user is counted only once (unique users), regardless of the number of groups they belong to. 
  
  Example: Person A is the owner of group 1. Group 1.1 is a subgroup of group 1. Person A is not the owner or a member of Group 1.1. However, because Group 1.1 is a subgroup of Group 1, Person A can see the statistics for Group 1.1. 
  
  When using the filter (Filter by User Group), only the user groups that have been selected are displayed. This does not include the subgroups. 
  
  Example: Person X is a member of group 2.2, but not of group 2, the parent group of group 2. Only group 2 is selected in the filter (Filter by User Group), so Person X's statistics are not displayed on the dashboard.

  Licenses = All Flip licenses available to your company according to the contract. The User Group Filter does not apply to “Total Licences” as Licences can not be assigned to specific User Groups.

  Created Users = User accounts created in Flip that are available for use (licenses used). Deleted Users are not considered.

  Onboarded User = Created User who has logged in at least once. Deleted Users are not considered.

  Onboarding Progress % = Onboarded Users / Created Users in %

  MAU = Monthly Active Users, number of unique active users within 30d.

  WAU = Weekly Active Users, number of unique active users within 7d.

  DAU = Daily Active Users, number of unique active users within 24h.

  l30d avg = Last 30-day average: computing the average DAU value of the last 30 days for a more stable indicator (smoothing seasonal fluctuations due to weekdays, holiday seasons, etc.).

  DAU/MAU = ratio of daily active users (last 30d average) to all active users per month (MAU). A DAU/MAU ratio of 50% would mean that your users engage with your app, on average, 15 out of 30 days (= “Stickiness” in %)

  Stickiness = Indicator to measure how on many days Users are active per month. Computed by multiplying the DAU/MAU ratio * 30 days. Example: A value of 15 means that your users engage with your app on 15 out of 30 days (= DAU/MAU ratio of 50%)

  MAU/WAU/DAU % Onboarded = Share of MAU/WAU/DAU in all Onboarded Users (as of the last day of the respective 30/7/1-day period) in %.

  User Calculation

  AU / Active User = User who has read at least one post in the newsfeed in the given period of time

  Never-logged-in User = Difference between all users and onboarded users

  💡 USER-CALCULATION:

  Licenses

  = Users + unused Licenses

  = (Onboarded Users + Never-logged-in Users) + unused Licenses

  = ((Active Users + Inactive Users) + Never-logged-in Users) + unused Licenses

FAQ: Dashboard & KPIs

• Can I view other numbers that are not available in the dashboard? 
  Currently, we only providing the insights you can find in your Admin Console. However, we are working hard to provide you with even more insights in the future. If you have any questions, please contact your Customer Success Manager.
• Which timeframe is applied to the charts that are not filterable?
  For the charts that cannot be filtered, the time period is indicated either in the name of the chart or in the info text (opens when you hover over the grey information symbol next to the title), e.g. Status: previous day.
• What does “Status: previous day” mean?
  This refers to the current status of the data shown, which was last updated based on the data of the previous day (e.g. on May 4, the status of May 3 23:59 is displayed).
• Why is there no data history from before April 2023 displayed?
  The new dashboard version is based on a different data source that provides more detailed information on the Channel memberships. However, since this data source was implemented end of March 2023, we have only been able to collect data from that point onwards. To ensure the integrity of the data and the usability of the Channel Filter feature, we made the decision not to supplement it with data from the old source, which would have compromised its functionality. In case there is a decision / meeting for which you need to see the longer history of your data we may provide you with the data of the old version of the dashboard (no channel details). Please contact your Customer Success Manager for more information.
• Why is the DAU displayed as last 30 day average, but WAU and MAU are shown as the values of a single day?
  The DAU considers a 24-hour period, which can be affected by fluctuations related to weekdays. To make the value more stable, we calculate the average over a longer period. For example, if we were to show the monthly DAU using only the last day of each month, the value may be lower if the last day happens to be a Sunday.
• Why are MAU/WAU/DAU numbers shown from the “previous day” instead of “today”?
  Since the number of Active Users is subject to continuous change throughout the day, the morning count often significantly differs from the end-of-day count. To offer you a more reliable indicator, we display the value of the previous day.