Futuri provides a variety of services as part of the Futuri Streaming platform. One of these services is the Analytics and Reporting Manager (ARM), which provides metrics on your stream.
If you need credentials for ARM, please contact Futuri VIP Support.
To learn more about Streaming analytics, you can watch this video tutorial of the ARM interface or read on for more details.
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Glossary of Terms
ARM provides the following key metrics for broadcasters:
| Term | Definition |
|---|---|
| Total Sessions | Total number of stream requests made to the server. |
| Active Sessions (AS) | Total number of open sessions which were listening for at least one minute. The rest of the metrics below are calculated based on these listeners. |
| Average Active Sessions Per Day (AASD) | Active Sessions divided by number of days in the reporting period |
| Uniques | Number of different persons (based on IP address) who had Active Sessions with the stream. This is similar to "cume" for your station. |
| Average Quarter Hour (AQH) | The average number of listeners recorded every fifteen minutes |
| Bounce Rate | Percent of listeners who turned off the stream after less than one minute (calculated by dividing Active Sessions by Session Starts) |
| Total Listening Hours (TLH) | Total number of hours listened to (counting only Active Sessions) |
| Average Time Spent Listening (ATSL) | Calculated by dividing TLH by Active Sessions |
Live Metrics
When you first load ARM, you'll see the number of currently live sessions, as well as the number of active sessions and Total Listening Hours you've had today.
Aside from these top-line metrics, the two most useful live reporting tools are:
Sessions
On the Sessions page (under Real-time) you'll see the users who are currently listening to your stream, with their location, the browser/app they're using to listen, and the length of time they've been listening.
Session Map
On the Session Map page (under Real-time) you'll see a physical map of the IP addresses of the users currently listening to your stream.
NOTE: Because of the various ways that users can be assigned IP addresses, accuracy of this data can vary. Determining a user's country of origin is about 99% accurate, but nailing down a specific city from an IP address is between 50% and 80% accurate.
Historical Metrics
When choosing a menu option from ARM's Historical section, you'll be given a date range (at the top right corner) where you can choose the date range for which you want to see historical data. The two most useful historical tools are:
- Stations
- Devices
Stations
On the Stations page (under Historical) you'll see the key metrics for your stream over the date range reported. These numbers can be broken down by day, week, month, or year. See above for definitions of the terms shown in this report.
Devices
On the Devices page (under Historical), you can see the breakdown of desktop vs. mobile listeners.