Dashboards and Reports

The Dashboard is what we call the navigational and informational views of your Urban Airship projects. There are two levels within Engage:

  1. All your projects, listed at go.urbanairship.com/apps. See: Your Projects.
  2. An individual project, after you’ve opened it from the list of all your projects. See Project Dashboard.

A third definition is specific to Insight:

3. A collection of topical reports, also known as “looks.” The reports are contained in Insight dashboards. See: Dashboards.

Choose your project from the Urban Airship dashboard, click Insight in the navigational header, then click an Insight dashboard name. The default view is the Overview dashboard.

Each dashboard and its reports are detailed in the next section, Dashboard Reports. Read Exploring Overview to learn how to work with the reports.

Dashboards

The number of reports, as well as the styles and options, vary per dashboard. Note that if you have just recently purchased Insight, you must wait for your dashboards to be populated with data.

Each dashboard has an app name filter and a time range filter that defaults to the last 30 days which will apply to most reports in the dashboards.

In Insight filters, the “app name” is the project name.

The following Dashboards are available:

  • Overview — Quickly understand active users and high-level message metrics.
  • Predictive — Learn about users across churn risk groups and churn mitigation performance.
  • Lifecycle — View trends of new users and app uninstalls.
  • Messages — Explore detailed results of your messaging.
  • Cohorts — Review user activation and retention data.
  • Revenue — Understand the revenue generated by your app and the conversion metrics for your app.
  • Location — See where your users have been within the last day.
  • Profile — View user attribute tag counts.
  • Device Properties — Learn OS and app versions, languages, and other device-specific settings and information.

Overview

The Overview dashboard displays the user count for each report.

Available reports:

Daily Active Users
The number of unique users that opened your app in the last 1 day (does not include today).
Weekly Active Users
The number of unique users that opened your app in the last 7 days (does not include today).
Monthly Active Users
The number of unique users that opened your app in the last 30 days (does not include today).
Users inactive in the last day
The number of unique users that were not active 1 day ago but were active in the 6 days prior.
Users inactive in the last 7 days
The number of unique users that were not active in the last 7 days but were active in the 14 days prior.
Users inactive in the last 30 days
The number of unique users that were not active in the last 30 days but were active in the 30 days prior.
Authenticated Users
The number of users that opened your app with a named user that had been set for them previously.

Predictive

The Predictive dashboard is a view into Predictive Churn risk groups, distribution of users across and opt-in rates within the risk groups, as well as the performance of churn mitigation.

Predictive tags are added on Sundays, and the reports default to the most recent Sunday.

See the Predictive Churn topic guide and video tutorials.

Available reports:

Low Churn Risk Users
Users least likely to become inactive in the next 30 days.
Medium Churn Risk Users
Users who exhibit signs of potentially becoming inactive in the next 30 days.
High Churn Risk Users
Users most likely to become inactive in the next 30 days.
Risk Distribution
Percentage breakdown of Low, Medium and High Risk users based on the last prediction in the timeframe (date in center). Click to drill down to a view where you can identify users’ channel IDs.
Top 25 Device Tags by Risk Distribtion
List the top 25 device tags by High Risk user count split by predictive churn risk category.
Average Sends per Weekly Churn Transition
The average number of messages sent to each user in a one week period, based on the users’ transition between churn risk categories. This can help you understand how message frequency correlates to users in the low risk category.
Historical Predictive Churn Outcome
A historical view of the peformance of churn prediction. The left side shows the predictions that occurred four weeks prior to the date selected in the Date Range filter. On the right side are the categories of those same users at the end of the fourth week.

If you are not taking action on your highest risk users, a majority of them will become inactive. This report gives you an easy way to see what happened to those users and can give you confidence that our model is performing well or that your actions have caused High and Medium Risk users to move into the Low Risk category. You must have at least five weeks of churn analysis for this report to populate.

Lifecycle

The Lifecycle dashboard displays the user count for each Active Users report. Line graphs show user counts over time and broken down by platform.

Available reports:

Daily Active Users
The number of unique users that opened your app in the last 1 day (does not include today).
Weekly Active Users
The number of unique users that opened your app in the last 7 days (does not include today).
Monthly Active Users
The number of unique users that opened your app in the last 30 days (does not include today).
New Users
Daily count of new users that opened the app for the first time broken down by platform along with the total.
Sessions
Daily count of the number of times the app was opened.
Uninstall
The number of uninstalls for each day. Uninstall information is only available for a user you have sent a notification to.
Daily Active User Trend
Daily count of users that opened the app broken down by platform along with the total.
User Session Duration
The distribution of user session durations in minutes for the given time range. In the Explore View, filter by a specific push ID, or slice by tags.

Messages

The Messages dashboard displays report lists detailed results of your messaging.

Available reports:

Top 50 Notifications sent
View the top notifications sorted by send count. Only notifications that are sent to an audience larger than 1 are shown in this table. Direct open rate is equal to Direct Open Count / Sent Messsage Count. Indirect open rate is equal to Indirect Open Count / Sent Message Count. Indirect opens are defined as anyone that opens the app after receiving the notification listed.
A/B Tests
Variant ID is CONTROL for the control group, then 0 = A, 1 = B, etc. Click a measure to get a list of users.
Top 50 Rich App Pages
A list of Rich Message metrics.
Top 50 Automation Messages
Automation messages sent during the selected date range.

Cohorts

The Cohorts dashboard displays reports of user activation and retention data.

Available reports:

Retention by Install Week
See the activity of new users over time. Each row represent a cohort of users that opened the app for the first time in the labeled week. The install count represents all the users that installed in the calendar week. Day One retention is the percentage of people that opened the app the next day after install. Day One through Seven Retention, 7-14, and 14-30 is the percentage of people that opened the app anytime between that range from the install cohort.
Activation Cohort
An activation cohort gives you a view of the group of people who complete a specific event in your app, as well as their open activity each day after completing the event. This type of report is helpful for finding which events in your app ultimately lead to a user returning day after day. This is often referred to as a behavioral cohort as opposed to a retention cohort, which tracks activity of users after an install. which tracks activity of users after an install.

Revenue

The Revenue dashboard helps you understand key performance indicators associated with revenue generation or related events. This dashboard is customized based on your Industry type. All your custom events are in this dashboard as well.

Available reports:

Total Purchase/Shared Value
Sum of all event values for those named [Purchase or Shared, depending on industry] over the given time range.
Purchase/Shared Value per User
Total [Purchase or Shared, depending on industry] Value divided by the number of distinct users.
Retail/Content Funnel
Users that followed the [Retail or Content, depending on industry] funnel path over the date range selected. See Supported funnels list below.
Custom Events Table
All custom events that occured in the given time range.

Supported funnels:

Media
browsed_content » consumed_content » shared_content
Retail
browsed » added_to_cart » purchased
Travel & Transportation
browsed » added_to_cart » purchased
Total Revenue
All purchase revenue over the date range.
Revenue per user
Average purchase revenue per customer that purchased.
Retail Funnel
The total value for the browsed, added_to_cart and purchased event.
Retail Funnel Counts
The total number of times users browsed, added_to_cart and purchased.

Location

The Location dashboard provides a way for you to understand where your active users are, as well as their behaviors.

The User Locations report is based on automatic location events via a device’s GPS. See the Location Triggers topic guide. The remaining reports are based on usage of our Region framework via Gimbal and other beacon providers. See: Location Triggers: Gimbal Setup.

Region data exists as Arrival or Departure records triggered by entering or exiting a region. A region is defined by either a geofence or beacon.

In the Location dashboard’s filter:

  • Recent Activity refers to activity prior to an Arrival. By default, the Recent Activity Window is twelve (12) hours and affects recent send, direct open, and indirect open calculations.
  • Date Range refers to the date range of region activity. The Recent Activity Window will always extend the appropriate number of hours prior to the date range.

See Exploring Overview: Region Events for information specific to exploring Location reports.

Available reports:

User Locations
Your users’ locations within the last whole day are represented in a heat map. See the legend in the lower left corner for numeric values. Drag and zoom to concentrate the view on a specific region.
Total Arrivals
The number of times users triggered a geofence or beacon by entering a region during the selected date range.
Unique Users
The number of unique users that triggered a geofence or beacon during the selected date range.
Average Dwell Time (min)
The average dwell time in minutes of a user while in a geofence or the vicinity of a beacon during the selected date range.

The dwell time within a region is derived by matching an Arrival to a Departure. Records are matched for a user if they are consecutive actions within the same region within twelve hours. Unmatched records are not included in dwell time calculations.
Arrivals by Hour
A line graph of the number of Arrivals per hour for the last seven days by platform.
Top 15 Regions by Total Arrivals
A bar chart of Arrivals and Distinct Users for the top 15 regions by overall Arrival count.
Unique Regions Encountered per User
The distribution of users by the number of distinct regions they encountered.
Region Dwell Time in Minutes
The distributions of dwell time for all visits.

Profile

The Profile dashboard displays current tag count reports.

Available reports:

Top 50 Device Tags Added (During Date Range)
The top 50 tags that users added over the specified date range. The date range defaults to the past 7 days.
Top 50 Device Tags (All Time)
The top tags among your devices. The tag counts are partitioned by opt-in status. Click the name of the report to splice the tags by tag group, opt-in status, or specific device properties.

Device Properties

The Device Properties dashboard provides information about your users’ devices. Urban Airship SDK version, app version, opt-in enabled/disabled, and other device-relevant metadata is accessible via this dashboard.

Unless otherwise indicated, the data in each report corresponds to the date range specified in the Filters section.

Available reports:

Notification Opt-in Enabled Devices (All Time)
Percentage of opted-in and opted-out devices, split by platform. These charts display the total number of opted-in/out devices on your app: At the bottom of the report, you will see iOS Opt-In Benchmarks. These numbers provide some guidance on industry standard opt-in/out rates, based on our benchmark studies. The Low, Medium, and High percentages indicate the 10th, 50th, and 90th percentiles, respectively, for your industry.
Notification Opt-in Enabled Devices (During Date Range)
Percentage of users that have opted-in or out of push notifications during the specified date range.
Background Enabled (During Date Range)
Percentage of background-enabled Devices.
Location Enabled (During Date Range)
Percentage of location-enabled devices.
Timezones (Top 50) (During Date Range)
The top 50 timezones among your users.
Language Country (Top 50) (During Date Range)
The top 50 country tags among your users.
Language (Top 50) (During Date Range)
The top 50 language tags among your users.
iOS Model (Top 50) (During Date Range)
The top iOS models among your users.
iOS Version (Top 50) (During Date Range)
The most frequently installed iOS versions among your users.
iOS App Version (Top 50) (During Date Range)
The most frequently installed iOS app versions among your users.
iOS UA Version (During Date Range)
The most frequently installed iOS SDK versions among your users.
Android Version (Top 50) (During Date Range)
The most frequently installed Android versions among your users.
Android App Version (During Date Range)
The most frequently installed Android app versions among your users.
Android UA Version (During Date Range)
The most frequently installed Android SDK versions among your users.