All RSS.com plans get access to listener data in the podcast Analytics tab. This includes:
All-time total downloads
Downloads in the last 30 days
RAS (Rolling Average Subscribers)
Downloads on day 1, day 3, day 7, day 30, day 60, day 90, and the episode total (Top 5 Episodes)
Devices, platforms, and client apps where podcast has been downloaded
Downloads on day 1, day 3, day 7, day 30, day 60, day 90, and the episode total (All)
Top 5 locations by downloads
Interactive world map of locations with the highest downloads
Downloads by city/country
Download trends by time and day
RAS (Rolling Average Subscribers)
While RSS.com does provide industry-leading analytics to podcasters, it is not currently possible to accurately determine how many followers/subscribers a show has. This is because most podcast players, apps, and directories either do not track followers/subscribers or they don't report those numbers.
However, you can estimate the number of followers/subscribers for your show! RSS.com provides a new first-of-it's-kind metric called "RAS" or "Rolling Average Subscribers" which counts the number of individual listener devices downloading or streaming your show. "RAS" is the average for the first 24 hours of unique downloads for your last 3 episodes.
Example: If your show is released every Friday at 6:00 am and you get around 100 downloads every Friday morning week after week, then it's safe to assume that you have roughly 100 followers/subscribers (this number may include listeners who accessed the content in the first 24 hours through other means like social media, and aren't an actual "follower/subscriber" of your show).
"Today", "Last 30 Days" and "All time" downloads
In our metrics the term "download" represents any time a unique user accesses your content. Download totals are updated hourly and reset at Midnight UTC.
Example: Doesn't matter if a listener saves an episode on their device or streams an episode from an app. Each would count as a "download".
Important: Deleting an episode does not affect the statistics. The data includes any episodes that have been removed.
Downloads and RAS grouped by month
Use these graphs to track your progress and identify trends with your Downloads and RAS.
Top 5 Episodes and Downloads
This chart shows downloads on day 1, day 3, day 7, day 30, day 60, day 90, and the episode total (Top 5 Episodes) The top episodes are in order by their total unique downloads. Episode downloads are updated daily, and may not match up exactly with "Today" "Last 30 Days" and "All Time" download totals
Example: According to the below chart, the first episode has been downloaded 3 times the first day, 9 times in the first week, 10 times the first month. 60 and 90 day download stats are still waiting to be processed.
Click "Show all episodes" to see the full list of episodes sorted by number of downloads.
Top 5 locations with the highest number of downloads
Click "Show all locations" to see the full list of locations sorted by number of downloads.
Location download numbers are only for the last 6 month period. You can download a .CSV file of your downloads to keep track of your growth. Make sure you wait for all locations to load before exporting your .CSV file, or the file will have incomplete location information.
In this section, you can see the percentage users by the device they used to download your content (by percentage).
In this section, you can see the percentage users by the platform/OS they used to download your content (by percentage).
In this section, you can see the percentage users by the client app/service they used to download your content.
Downloads by location
The heatmap allows you to see the geographic location of the places where your podcast is most popular. Red dots indicate a larger audience by geographic area. Data is computed hourly over the last 6 months.
Download time and week day
The below chart shows unique downloads of your podcast by day and time. The darker the color, the higher the number of downloads. Hover over any blue time slot to see the number of downloads. You can use this information to schedule the optimal publishing time for your new episodes and maximize downloads. All times are local. Data is computed hourly, and updated at least every 24 hours.