07. Working with Statistics
Click on permalink to view the video tutorial.
Libsyn Advanced statistics offers a range of different breakdowns from general download numbers to episode level social tracking, geographical data, and more. To get started, click the button on the menu on your Libsyn dashboard.
The first thing you will see on the stats page is your overall stats for your show – starting with your overall downloads table.
Scrolling down the page a bit will display an episode breakdown table. This table will give you overall downloads per episode for this month, the last two months, and the total number of downloads.
Episode and media breakdowns look mostly the same as the show breakdown – but we will cover the differences later in the article. In the meantime, scrolling down the current page a little further will show you a Downloads By Day graph. This graph shows you trends of downloads on a daily basis.
Lastly, your general show level stats provide you a daily, weekly, and monthly breakdown as to how many downloads you received show wide during that time period.
Our statistics can provide you with a full breakdown of geographic information for your show. This shows you what country, region/state, or city/market your listeners are all coming from. You can access your geographic summaries by clicking on Geographic on your side menu.
A pie chart appears at the top, giving you a colorful breakdown of what countries contribute to your download counts.
Notice the small arrow in the upper left hand corner – – hitting this button will open up a small menu that allows you to export the pie chart as a graphic.
Scrolling down the page will present you with a table breaking down the country downloads.
This chart allows you to zoom in and see additional breakdown details. We will cover that momentarily as you can zoom using the map further down this page as well, or you can zoom from here using the button.
Underneath the map is also a region table. Similar to the country table, the region table displays a download breakdown per region (a region is different per country, but in the United States a region is considered a State). You can on the region table as well, and it also can be exported.
Moving onto the map – the world map allows you to hover your mouse and quickly get get download numbers for that country. The map is color coded, the darker the color the more downloads you get in that country.
For the purposes of this tutorial, we are going to assume you are selecting the United States. This will give us a drill down of numbers based only on the United States, similar to the numbers outlined for the world – starting with a pie chart. Note that geographic data (and the same goes for user agents, referrers, etc) is given to us by the systems the listener is using (whether their computer or their local ISP). In some cases, that information is not given to us, so the information is ‘Unknown’.
Just like when reviewing your world stats, you can scroll down this page and see a graph for downloads by day (which can be zoomed to specific date ranges and exported) as well as downloads by month (which can also be zoomed to specific date ranges and exported) – both specific to the country you are currently reviewing.
Also similar to world stats, a graphical map is available for the region you picked.
Below the map includes two additional tables, Regions and Market download counts. Zooming into a market/state using either the map or the button will give you specific download numbers for that market which are all exportable as well.
Libsyn provides producers with a full breakdown of how many downloads are obtained using certain programs, otherwise known as User Agents. This can be viewed at the show, episode, or individual file level by hitting the Technology menu item.
To understand the numbers provided here requires first defining what a user agent is. A user agent is a program that is used to access something on the internet, be it a web page or a media file. If you have a website and have ever looked at your web site statistics, you likely will have seen a user agent associated; however, for websites a user agent is usually a web browser such as Firefox or Safari or Internet Explorer.
For podcasts and media files, user agents can expand on that list to include iTunes, iOS/iPhone apps, Android apps, Stitcher, and so on. These aren’t web browsers, but they are programs that are used to subscribe to, download, and/or listen to your content.
It is important to keep in mind, when looking at user agents, that not every user agent is backed by a human. If your user agent is iTunes, it is a sure bet that there is a listener using iTunes to download and listen to your podcast. However, there are some user agents that are bots, programs written to scan the internet for content. Some bots are legitimate, usually stemming from search engines such as Google or Bing to find content on the internet and make it searchable. Other bots are benign, meaning they don’t serve a largely known purpose, but also don’t hurt anything – they just are. Occasionally, there is a bad bot that causes high amounts of traffic and serve no good purpose. The latter appears rarely, but when they do they can cause spikes in downloads. We monitor our networks for such incidents and respond accordingly, but if you notice a sudden random spike, looking at your user agents is a good place to start.
We display your user agents first via a graphical pie chart.
Under the pie chart is a table that gives you a larger list of the user agents used to access your content. This table can be exported.
A traffic source determines how a listener found you. For example, if a blogger writes an article and in that article links to your episode and a listener clicks on that link from that blog page, that blog page becomes a traffic source (specifically in this case, a referrer). Referrers are specific to web browsing (iTunes for example will not show as a referrer, but instead would appear as a user agent under technology).
To access your traffic sources, click on the Traffic Source link on your menu for your show, for specific episodes, or for a specific file.
Episode Specific Details
Everything at the show level is also available at the episode level, and much of what is available at the episode level is available at the media file level. However, there are a few really cool pieces of data that are given at the episode level worth looking at. To get there, use the menu on the left hand side.
Similar to show level stats, you can view general, geographic, technical, and referrer sources. There is an addition to traffic sources that occurs at the episode level that can be especially handy – social tracking.
If you are using our OnPublish options for Facebook and/or Twitter, we will tell you how many retweets or how many likes an episode has received.
Note that if you have connected two Facebook pages and release an episode to both pages, you will get a like bar for both pages so you can see which page generated the most traffic for you. The same goes for Twitter, if you have more than one Twitter account connected and you release an episode to all your Twitter accounts, you will see a tweet bar for each account so you know which account generated more traffic.
Have any questions? Contact our friendly support staff at firstname.lastname@example.org.
Libsyn provides two statistics packages, the Basic package and the Advanced package. The basic package is available for the $7 and $15 level accounts. Stats can be accessed by clicking on the button in your main menu.
Basic stats provides a producer with basic download information on a per show, per episode, or per media file basis. These different breakdowns can be accessed using the menu along the left hand side.
The first table you are presented with are your total downloads.
Next, you are given an episode breakdown.
After the episode listing, there is a day to day downloads graph. This shows you a graphical representation of how many downloads your show has received day by day. This graph can be zoomed into specific date ranges, or use per-specified ranges (such as the last 10 days).
Lastly, we offer a table that shows you how many downloads you have received every day, every week, and every month.
If you are interested in what our Advanced Stats (available with our $20 level accounts and higher) offers, visit our Advanced Stats article here.
Have questions? Contact our friendly support team at email@example.com.
Libsyn statistics offers a fully customization export which allows you to create, save, export or setup recurring exports for. This option is available for our $20 level accounts and higher.
To get started, click on the button. All the way down on the left hand side, is a Saved Export option.
Hit the Add New button…
This page will provide you with a range of export options. We will go through each one, one by one.
Give your export a recognizable name. When you save your export, you can come back later and rerun the export, or make changes. Keeping the name recognizable will help you quickly separate which report is which.
Just like your regular breakdowns, you can choose to run an export for an entire show, a specific episode, or a specific media file. If you change the radio button to Episode, you will get an episode selector.
When you select the episode radio button, you are given an episode list. From here, you can hit the down arrow to view your list of episodes to select from. The same happens if you select the Media option. You can select your episode to make sure the export settings will provide an output only for that episode (instead of the entire show).
There are several export options available to you.
Downloads by Day
The downloads by day export will give you a total download count for each day. In this example, I have set the export to provide me with a downloads by day output for the last 7 days.
The export provided will be similar to the below.
The weekly totals export will give you a total download count for each week in the date range you set. In this example, I have set the export to provide me with a weekly totals output for the year to date.
An example export is shown below.
The monthly totals export will give you a total download count for each month in the date range you set. In this example, I have set the export to provide me with a monthly totals output for the year to date.
An example of the export is below.
The geographic downloads export gives you a high level, worldwide view of what country your episodes/media files/the show at large is getting downloads from. You will get a list of every country you have received downloads from for that show, episode, or media file. You will not get exports for countries you do not receive downloads from.
An example export is found below.
The country downloads export allows you to select what country you want more granular details for. Since we are based in the United States, this example will use the U.S. as the example. Note that all geographic exports will only provide an all time export. The time range becomes irrelevant.
When selecting the Country Downloads radio button, a country selector will appear. Hit the drop down to pick the country you want broken down.
There are three notes here. The first is you will only see countries you have downloads from. If you have never had a download from the U.S., the U.S. won’t appear in the list, for example. Secondly, country (and other geographic) exports will only provide an all time export. The time range becomes irrelevant. Lastly, the countries will appear in the drop down list in the order of most downloads so if the U.S. is the country you get the most downloads and the U.K. is where you get the second most downloads, then the list will show the U.S. and the U.K. respectively.
An example export can be found below. You will receive download counts from each region inside that country. Note that the spreadsheet is not necessarily sorted, but of course, you can sort it using your favorite spreadsheets program or app.
US Markets is a breakdown of downloads based on specific cities. It is a more granular breakdown we currently offer specifically for the United States, and you can export that data at the show, episode, or media file level. Similar to the other geographic exports, the US Markets export is an all time count, the time range selected is ignored.
An example breakdown is below. Note that the export is not presorted, you can sort your CSV file as you see fit.
User agents are the programs used by a person, or automatically run programs, that are used to access your content. For example, if a listener uses iTunes to access your content, then the user agent will likely be iTunes. More details about user agents can be found here.
Note that user agents export is all time and will ignore the time range. Below is an example export.
A referrer is the website a listener was at before reaching you. For example, if you have a friend who blogged about you and linked to you and a listener found you by clicking that link, then your friend’s blog would be listed as the referrer. More details on referrers can be found by clicking here. This export will give you a list of all the referrers and how many times they referred to your show/episode/media for all time.
An export example is below.
Export Time Range
For some of the export types, a time range selection is available. From here you can choose from exporting:
- Last 7 Days
- Previous Month
- Current Month
- Year to Date
- Custom Date Range
If you select Custom Date Range, a new section will open up allowing you to customize what date range you want exported.
The export scheduler allows you to configure an export, save it, and have the export automatically e-mailed to you or the e-mail address(es) of your choice at intervals you choose. For example, you may want your overall download totals for the week e-mailed to you and your production team every single Sunday.
This field will be prepopulated with the e-mail address you are logged in as. You can change and/or add to this. To add multiple e-mail addresses, simply separate them using a comma:firstname.lastname@example.org, email@example.com, firstname.lastname@example.org
The e-mail will then be sent to all the e-mail addresses listed.
You can choose how frequently the e-mail should be sent which includes daily, weekly, or monthly. If you only want to schedule this one export and do not want the export to repeat, leave the radio button at None.
The time zone your account is setup with will be automatically selected but you can change the time zone for the exports specifically here.
You can specify a specific date and time for this export to run using the calendar and clock available here.
With your settings in place, you can either save the export to run at a later date (or automatically run if you scheduled the export), or you can save the export and have the export run right now.
Have questions? Contact our friendly support staff at email@example.com.
Your shows each have access to Advanced Stats through the show dashboard. However, you can access network level stats right from your Network Admin Dashboard. Log into your Network Admin Dashboard and click the button.
You can gain access to general download numbers, as well as geographic data, information on episodes across the network, and media across the network. You can also access all of your stats based on specific show, episode, or media the same as you would from inside the show dashboard.
You can also track the bandwidth usage across your network by using the button on your main menu. This will garner access to bandwidth by show breakdown:
You can also see a monthly comparison of your bandwidth usage by clicking on Monthly Bandwidth along the left hand side:
If you have any questions or concerns, contact our Pro support team at firstname.lastname@example.org.
If you’ve just uploaded your episode, stats may not update immediately. While we process the raw data as often as we receive it, numbers are not real-time and can be delayed. Additionally, if you believe there is a delay in processing, the first place to check is the support blog because we occasionally pause stats processing for system maintenance.
Numbers vary from episode to episode. One good way to spot trends is to check referrer data. If one of your episodes shows a sudden uptick in downloads, it may have been syndicated by a popular blog, website, or social media outlet. Downturns are often the result of no longer being featured by a third party, or by episode expiration.
Stats are generated from the raw request logs Libsyn receives from our CDN provider. These logs are delivered roughly every fifteen minutes and we process them as soon as they are received. The logs are parsed, filtered, and organized to put them in the context of your show. After they are processed, we filter them to provide the most accurate download numbers we can.
What sort of filtering do we do?
- Garbage requests. Often, requests are made for misspelled or nonexistent media belonging to your show. We verify that files being requested exist and are part of your show.
- Protocol files. Many automated clients check for unrelated files as part of their operation, e.g., robots.txt and favicon.ico.
- Runaway clients. Poorly-behaving clients can request your files hundreds of times in a short time-span. While the first request may have been a legitimate download request, a misconfigured application may otherwise artificially inflate your download requests.
- Partial content requests. Some clients are designed to request only a segment of your media at a time to conserve bandwidth on slower or mobile connections. Since multiple requests for parts of the same file may come in only seconds apart, we filter out all but the first request. This provides a much more accurate depiction of your consumers’ behavior.
For example, if you upload a new episode, then rapidly download it multiple times from the same computer using the same client (Firefox, for example) in a very short time window (five minutes, for example), we filter out all but the first download for your final stats report. This calculation has been in use at Libsyn for many years, and is one of the many ways we work to provide the most accurate numbers possible.
What do we not filter?
- Specific IPs/clients. Our request filtering is done by patterns, and not by specific client software or IP address. Due to the nature of the internet, IP addresses can and do change. Attempting to filter by client software is difficult since the client is responsible for identifying itself. This makes it possible to spoof or omit the client identification data, and this makes reliable client filtering tricky. One producer’s junk client could be another producer’s user base.
- Specific geographical regions. We do not discard requests from any geographic region.
- Archived files. Requests for all files, regardless of their archive status, are counted.