Timbre Analytics provides you with an easy-to-use dashboard from where you can easily view your top-performing podcasts and episodes as well as run reports for your specified date ranges.
TABLE OF CONTENTS
Analytics can be accessed from your Timbre landing page by clicking on the Full Analytics button in the Your Reach section, or by navigating to Analytics in the sidebar.
You can also access Analytics through the options menu found alongside any Podcast, or by navigating into an episode and selecting Analytics. This will prepopulate the Type field in the reports form with the podcast or episode from which the action was triggered.
The Summary section in Analytics provides a printable PDF containing key information for your podcast or episode. The default date range is set to All Time, and a few quick search options make it easy to change the data to the time frame that suits you best.
Timbre Analytics is built on an IAB-compatible framework, meaning it conforms to industry standards and is trusted in the audio streaming and advertising world.
In order to meet the requirements of the IAB framework, filters have been applied to some data in order to differentiate between "valid" plays (i.e. accessed by a human) and "invalid" plays (i.e. potentially accessed by bots). Basic terms are explained below and where any filtering has been applied has been indicated.
The number of times a podcast or episode has been accessed (to listen to or to download). This is limited to sessions that have lasted at least 60 seconds.
The number of unique listeners that have accessed a podcast or episode based on that listener's IP address - no filter is applied to this data.
Listen Through Rate
This is the average percentage that an episode has been listened to based on the total duration of the episode. A higher LTR percentage indicates that, on average, more listeners consume more of the episode, i.e listen for longer than compared to a lower percentage which indicates a lower number of listeners consumed the entire episode.
Refers to an episode that has been listened to separately from a podcast platform. An example would be when an episode is directly embedded into a website.
Headlines and Reach Map
When viewing the summary, you are greeted with the total plays, total platforms, and total countries relevant to your podcast or episode based on the time period selected as well as displaying a reach map. Hovering over any of the countries will show you the data for that country.
Top 10 Countries
The Top 10 Countries is based on plays and the percentage indicates the share of total plays.
Top 10 Episodes by Plays
Provides a list of the topmost accessed episodes. These episodes could have been accessed as individual episodes (standalone) or as part of your podcast.
Top 10 Episodes by Listen-Through Rate (LTR)
Provides a list of the episodes that have the highest average listen-through rate.
Top 10 Platforms by Plays
Indicates the platforms used most by listeners to access the content.
Top 5 Podcasts by Plays
Shows the most popular podcasts in your portfolio by plays across all episodes in that podcast.
Top 10 Episodes
The Top 10 Episodes section provides better insight into the audience and how they interact with the individual episodes. The Top 10 Episodes are determined by the number of plays they had and then ranked based on how many unique interactions they received, the number of countries it was accessed from, and the number of platforms from which it was accessed.
A further breakdown is provided in tabular form of the Top 10 Episodes and the top-ranking countries and platforms for the Top 10 Episodes based on plays. The plays, listen-through rate and unique reach columns can be ordered from highest to lowest.
Top 5 Podcasts
The Top 5 Podcasts section provides better insight into the audience and how they interact with the podcasts. The Top 5 Podcasts are determined by the number of plays they had and then ranked based on how many unique interactions they received, the number of countries it was accessed from, and the number of platforms where it was accessed.
Podcast and Episode Analytics
Timbre provides access to all podcast and episode analytics in a chosen granularity and across a selected time period. Analytics data of up to three months is exportable to CSV, making it easy to use the data for performance and trend analysis.
Timbre Analytics is built on an IAB-compatible framework, meaning it conforms to industry-recognised Podcast measurement standards and is trusted in the advertising world.
In order to make use of Podcast and Episode Analytics, fill out the fields below and click on Submit to see a basic summary of your podcast or episode. Alternatively, click on Export to view more detailed information pertaining to your selected podcast or episode.
"Type" specifies the content category your report will run against.
Shows a detailed, analytical breakdown of all episodes in a particular podcast with associated data.
Shows a detailed, analytical breakdown of the selected episode in a particular podcast with associated data.
"Granularity" specifies the time intervals your report will be categorised into.
No granularity will be applied to the data.
Provides data grouped by years in date range (i.e. 01/12/2020 - 31/01/2021 will show data grouped by 2020 and 2021)
Provides data grouped by months in date range (i.e. 01/12/2020 - 31/01/2021 will show data grouped by 12/2020 and 01/2021)
Provides data grouped by days in date range (i.e. 01/01/2021 - 03/01/2021 will show data grouped by 01/01/2021, 02/01/2021 and 03/01/2021)
Once Type, Podcast, Granularity, and Date Range is submitted, the information will be displayed in the section below. Total Plays, Total Unique Reach, Total Platforms, and Total Countries are based on the podcast and selected date range.
Beneath the headline information is a breakdown of the podcast selected by Plays, Listen Through Rate, Unique Reach, Platforms, and Countries. Any of these columns can be toggled on or off and the columns can be ordered by Plays, Listen Through Rate, or Unique Reach. Where Granularity has been applied, each grouped table also indicates the headline information based on the grouping (i.e. headline information for the year 2020).
Refer to our handy Glossary of Terms for more information on how the above metrics are calculated.
Based on Granularity and Date Range the data is exportable to CSV. The exported CSV will provide additional information such as the Item or Feed UUID, item link, plays, listen-through rate, unique reach, platforms and countries indicated by their respective country codes.