Episode Trends

Podcast Episode Trends shows you download metrics for your podcast episodes according to various time frames.

Podcast Episode Trends displays three graphs:

• Average Downloads per Day (24h) After Publication
• Average Total on Each Day (24h) after Publication
• Downloads First n days

Overview

Building Queries

The Episode Trends query builder works the same way as the query builders in other Triton Metrics tools, such as Podcast Explore and Lineup Explore. In brief:

Set filters

Set your filters: publisher, market, or program; a date range; and optional dimension filters.

• You can choose multiple publishers, markets, or programs.
• Date-range presets include the last 30, 60, or 90 days. You can also select a custom range.
• The optional filters list is similar to what is found in Podcast Explore, minus the "Published Date" filter.

Specify the number of days to analyze (analysis range)

• Choose a Days to analyze (analysis range) preset (First 7, 14, 28, 30, or 60 days) or enter a custom number of days.
• The analysis range refers to the number of days to analyze after publication of each new episode. For example, if you select Days to analyze: First 30, the data shows the downloads of episodes that happened within 30 days after the publication of each individual episode, within the selected date range.
• You cannot select a Days to analyze range that is greater than the number of days in the selected date range.

Understanding the Graphs

The notes below should help you understand the graphs that appear in Podcast Episode Trends.

Average Downloads per Day (24h) After Publication

• This graph shows you the average number of downloads, per episode, for each day after publication. For example, if you get the data for two episodes, and one episode had 1000 downloads on its first day and the other episode had 500 downloads on its first day, the bar graph would show "750" for day 1.
• The days are relative to episode publication date. This means the episodes in the first bar ("1") were not necessarily published on the same day; rather, you are seeing an average of each episode's first day of downloads. The second bar ("2") is an average of each episode's second day of downloads (etc.).
• The diagram below shows a visualization of the above two points, using the example of two podcast episodes (Red Square episode and Blue Circle episode) that are published a few days apart. The numbers inside each item refers to the number of downloads for that day.

  On this week, the RED SQUARE episode was published on July 5 and had 100 downloads. The next day (Day 2) it had 40 downloads, etc. The BLUE CIRCLE episode was published on July 7 and had 250 downloads on its first day, 140 downloads on its second day, etc.

  

  The "Average Downloads per Day (24h) After Publication" graph calculates 175 downloads for Day 1 by adding the first day downloads for RED SQUARE (100) and the first day downloads for BLUE  CIRCLE (250), then dividing by 2 (because only these two episodes were selected for this graph). The result is 175.

  Results for Day 2, Day 3, (etc.) are calculated the same way.  (Day1 and Day 4 are illustrated, below.)

  

• Data for each episode applies to the 24-hours after the time of publication. For example, if an episode is published at 10:00AM, the first day data for that episode applies from 10:00AM on the day of publication until 9:59AM the following day. The second day data is from 10:00AM on the day after publication until 9:59AM the next day (etc.). Precision is per-hour, so an episode published at 10:15, or 10:45 (etc.) are considered to be in the 10:00AM hour.
• If there are zero downloads for a given day, no bar appears for that day.
• Roll your cursor over any given day on the graph to see the episode count and average downloads for that day-after-publication for all selected episodes
• Episode count refers to the number of different episodes counted in each bar on the graph. In the example illustrated above, the episode count for the eighth bar is "6" because it is recording "day 8" downloads for six different episodes.
• Episode Counts may vary slightly between days, since the graph includes the most possible episodes for each day, including those for episodes released prior to the selected date range as well as episodes released after the first day of the selected date range. For example, if an episode was published five days prior to the selected date range, and you are looking to analyze 30 days, the graph includes that episode's downloads for days 6, 7, 8, etc.
  • March 26 = "today."
  • Yellow = "Last 60 days" date range. (Analysis range: Days to analyze = First 30.)
  • Solid line = included. Dotted line = not included.
  • Green = Episode published January 20; first five days are outside of the selected date range and analysis range, so they are not included. March 3 and later are outside of the analysis range, so they are not included.
  • Orange = Episode published March 16; first 10 days are within the selected date range and analysis range, so they are included.

Average Total on Each Day (24) after Publication

• The graph shows cumulative averages for each day after publication. In other words, bar "1" should match the first bar in the Average Downloads per Day (24h) After Publication graph. Then, bar "2" is the sum of bars 1 and 2 from the other graph (day 1 + day 2), and bar three is the sum of the first three days, etc.
• This graph can be used when forecasting the number of downloads you can expect from future episode releases after a given number of days. This is very useful if you sell baked-in advertising and need to know what to propose to your advertisers. If you sell on downloads for the first 28 days, you can look at the bar for day 28 and the numbers will reflect, on average, how many downloads you have on any given episode after 28 days.
• Roll your cursor over any given day on the graph to see the episode count and cumulative average total for that day. (See Average Downloads per Day (24h) After Publication, above, for notes about Episode count.)

Downloads First n days

• This graph shows the cumulative downloads per episode for the number of days (n) selected in Days to analyze (the analysis range).
• As the name implies, this graph only includes episodes that have at least n days completed after the release of the episode. In other words, if an episode was released fewer than n days ago, it is not included (this is to ensure all episodes in the graph have equal number of days of data). For example, if you select a date range of Last 90 days and Days to analyze = First 30, the resulting graph compares all episodes that were published between 90 days ago and 30 days ago; it excludes episodes that were published fewer than 30 days ago because they do not have the full range of 30 days of data.
  • Yellow = "Last 90 days" date range. (Analysis range = First 30 days.)
  • Green = Episode published January 20; first 30 days of data collected for graph.
  • Orange = Episode published February 9; first 30 days of data collected for graph.
  • Blue = Episode published March 9; only 23 days available in date range, so data NOT collected for graph.
• Roll your cursor over an episode on the graph to see the the download number for that episode.