Radar provides more than 20 different sections of data, each focussed on highlighting a specific aspect of available data, providing you with a wealth of information through raw data as well as innovative visualisations of data. This article will guide your understanding of the reporting sections available in Radar. 


The Overview section presents a summary view that includes key metrics, a time-series chart looking at Users and Active Sessions, and an overview of your top regions, devices, and referer domains. 

Some key metrics on this page show the percentage change compared to the previous period using a mirror period of the selected one. For example when viewing August, this will be calculated against July's data.

Time series chart

  • The time series chart shows Unique Users (Users) and Active Sessions (AS) over time.
  • The resolution of the time series chart is augmented based on the time period selected.
    • For time periods of up to 1 month, a 1-hour resolution will be used. 
    • Longer time periods will increase the resolution to 2, 3, 4, 6 or 24 hours to ensure a consistent number of data points. 
  • Mondays are indicated with a vertical line and an "M" label for time periods where there are less than 10 Mondays. The "M" will be removed for time periods with more than 10 Mondays.

Generally, the count of active sessions surpasses the total of distinct users because:

In the case of streaming, a session is considered inactive and ends after 30 minutes without activity. Therefore, if a user returns to continue streaming within an hour, this could lead to multiple active sessions for the same individual.

In relation to podcasts, a session remains active for 24 hours. However, podcast applications often download several episodes simultaneously, particularly when a new user subscribes to a podcast, triggering the automatic downloading of previous episodes from the series.

For Podcast and On-Demand data:

For On-Demand content, Podcast and Episode refers to Feeds and Items as found in Timbre.

Customers, Podcasts, Episodes

This section provides a breakdown by Customer, Podcast, or Episode.

Published episodes

Shows content access by podcast episode, but filtered to include only episodes that were also published inside the reporting period.

For Live Streaming data:


The Stations section shows all stations contained under your customer profile in Portal with key metrics.


Exposes listening patterns related to when and how much audio was consumed, showing charts related to Time of Week, Day of Week, Hours of day as well as the Listen Through Rate by percentage (for podcast and on-demand content), and User Dropoff by time spent listening (for live-streaming data).

The data displayed for Time of Week, Day of Week and Hour of Day shows user counts for the time-period selected.

To obtain the most accurate data for Time of Week, Day of Week and Hour of Day, ensure that a full week is selected. Additionally, ensuring that an even number of days are selected will further provide more accurate results.

Most podcast apps download the entire file before playback, skewing the 100% result bracket.

Day parts

Day parts display Unique Users for set time periods, showing key metrics. 

Day part data is shown adjusted to the time zone of your listener to better show listening behaviours of your listeners from across the globe.

DayDescriptionTimes (Local)
WeekdaysBreakfast Peak0600 - 1000
Mid Morning1000 - 1300
Afternoon1300 - 1600
PM Drive1600 - 1900
Evening1900 - 2400
Overnight0000 - 0600
SaturdayBreakfast Peak0600 - 1000
Mid Morning1000 - 1300
Afternoon1300 - 1900
Evening1900 - 2400
Overnight0000 - 0600
SundayBreakfast Peak0600 - 1000
Mid Morning1000 - 1300
Afternoon1300 - 1900
Evening1900 - 2400
Overnight0000 - 0600


The geography tab provides an overview of user access across the globe, showing an interactive map and the Top Countries, Regions and Cities for those users.

The map offers three distinct visualization modes:

Country Choropleth: Available at the initial three zoom levels, it highlights countries according to the size of their audience.

Region Choropleth: Active for the subsequent three zoom levels, it highlights the primary regions.

Location Cells: Visible across all zoom levels, this mode aggregates audience sizes into hexagonal cells on the map, with each cell encompassing an area of approximately 36 square kilometers.

Map layers show only data points that contain more than 1 user.

Use the Fullscreen mode to create a more immersive audience exploration experience.

Using the Home button will centre the map on the cell with the highest user concentration.


Key metrics data grouped by country.


Key metrics data grouped by top-level country subdivisions.


Key metrics data grouped by city or town.

Combined Geography

Combination of country, region, and city data into a single view. 


Groups key metrics data by the ISP or telecoms provider of the listener.

UN regions

Groups content by the United Nations Geoscheme regions.


An overview of technology used by listeners to access audio content.


Groups user access by operating system.


Groups content by the name of the application that content was accessed from. 

Combined Technology

Combination of the device, platform, and application data into a single view.

Referer Domains

Groups content access by the domain name where the web traffic originated.

The entry titled "Direct traffic (No referer)" is associated with any third-party application where content is accessed from. Those include podcasting, streaming, mobile apps as well as voice assistants. 

Content accessed from a web browser will display the domain name. 

The misspelling of Referer is intentional and part of the HTTP specification.


Shows the full list of referer strings without grouping by domain.

This information is useful for establishing which specific web pages are driving traffic.

URL tracking

Groups content access by any platform-tracking parameters found.  

You, as a publisher, have the option to add an optional platform tracking parameter to any stream or podcast URL. This feature is particularly useful when embedding the URL within an application or sharing it with a syndication platform. By doing so, you can easily identify and track the audience originating from that specific link.


For live streaming customers. 

Key metrics grouped by mount point associated with your station.