Realtime Listening

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The Realtime Listening tab of Webcast Metrics shows you a useful mix of live, real-time data, and historical statistics.

  1. Filter: select the publisher/group/station you wish to view. (See Timezone note, below.)
  2. Concurrent Listeners summary.
  3. Concurrent Listeners countdown (data refreshes every 5 minutes).
  4. Preliminary Sub-Level Detail.
  5. Listeners for last n hours.
  6. Date selector: select a date in the past to see the 24-hour graph for that day.
  7. Listeners for Last 24 hours countdown (graph refreshes every 10 minutes).
  8. Scroll over a bar to see a data point for that 10-minute segment.
  9. Listeners for last n days
  10. Export graph selector.
Timezone note
The timezone of the reported data depends on the entity you choose in the filter:
  • For Publishers, the timezone is based on the user's timezone.
  • For Groups, the timezone is based on the user's timezone.
  • For Stations, the timezone is based on the station timezone.

Concurrent Listeners Summary

The Concurrent Listeners summary shows you how many concurrent listeners you have right now.* The number is displayed in green if the number is larger than it was at the same time one week ago, and is displayed in red if the number is lower than one week ago. (If there is no change, the number is shown in black.) Click the up or down arrow to see details about the difference in numbers.

The summary also includes today's average, high, and low points of concurrent listeners. The page refreshes automatically every five minutes to update the concurrent listeners count.

The Realtime Concurrent Listeners count is a "snapshot" of the real-time count taken every five minutes. It can take several minutes to collect and process the snapshot information, so "Right Now" should be interpreted as "as of the most recent snapshot," which could be anywhere from just over five minutes ago to about ten minutes ago. For example, at 5:53, the data shown is for the snapshot at 5:45, and it will be refreshed at 5:55 with the 5:50 snapshot.

Preliminary Sub-Level Detail

The Preliminary Sub-Level Detail section lists your groups or stations in ranked order, with the highest number of concurrent listeners at the top. If the display is showing groups, you can click the [+] to expand that group and see a ranked breakdown of the stations within it.

  1. Ranking (highest to lowest). In this illustration, each item is a group. Click [+] to expand that group within this section of the Realtime page.
  2. Click the group/station name LINK to switch the entire Realtime page to show the data for that group or station.
  3. The number of listeners right how for this group (or station).
  4. Percentage total for each line item; for example the top item in this illustration has 8.3% of the total concurrent listeners.

Historical Bar Graphs

The Historical Bar Graphs shows you statistics for the selected time frame.  and the bottom graph shows Listeners for the last 8 days.

Top Graph (Hours)

  • By default, the top graph shows the concurrent listeners over the Last 24 hours in ten minute segments. You can click Last Hour to see the concurrent listeners for the past hour (up to five minutes ago), in one-minute segments.
  • Scroll over a bar to see a data point for that 10-minute segment (last 24 hours) or one-minute segment (last hour).
  • You can choose to display the statistics for a specific date (all 24 hours) using the calendar picker. 

Bottom Graph (Days)

  • You can switch between Last 8 days (with each bar showing two-hour segments) and Last 90 days (with each bar showing one day, indicating that day's peak listenership).
  • Scroll over a bar to see a data point for that segment.
  • When viewing Last 90 days, the colors can help you identify patterns or breaks in patterns. (For more information, see color coding.)

Color Coding

The bars in the bar graphs are color-coded to help you visualize the data.

Greens represent morning daylight hours, and yellows and oranges represent afternoon and evening hours. Late evening hours are shown in darker reds, moving towards purples and blues for the overnight hours. This color coding is clearly visible in Last 24 hours view, but it also carries over into the other views.

For example, in the Last 90 days graph, each segment is color-coded to the hour of the day that it represents (the peak hour of each day). Most of the segments in the illustration below are green, indicating the peak hour for those days occurred in the morning, but you can see one unusual segment (blue) indicating something unusual for that day because peak hour occurred in the overnight hours.


  1. Most segments in this graph are green, indicating peak hours tend to happen in the late morning.
  2. Something unusual happened here; the blue color indicates that this day’s peak was reached at an unusual hour (between 4:00AM and 6:00AM).
  3. Each segment shows when that day’s peak was reached.

Similarly, in Last 8 days view, the color coding helps you visualize the traffic patterns in each two-hour segment.