I thought I was all set to write a post about tracking our podcast feed, the tools we use to do that and how we know it’s being effective.
It turns out that isn’t so easy.
The tool we’ve been using to track all our feeds (podcast, blog, RIT in the news placements, and RIT news releases) is our web statistics. While it does give us a look at trends over time, it doesn’t give us the specifics.
We can see how many people hit the RSS feed in a given month (or day or hour), but not how many are subscribers, how often they listen, or which stories or blog posts they’re reading from their subscription.
For the podcast, for instance, it looks like this:
- July: 569
- August: 1969
- September: 5450
- October (so far): 7044
We can also look at which episodes of the podcast are the most popular. Not surprisingly, older episodes (which have been available for a longer period of time) have higher downloads. Here’s the top 11.
- Dateline:RIT 8/31 – 278
- Bob Manning video cast – 262
- Dateline:RIT 9/14 – 194
- Ask Al – 178
- Dateline:RIT 9/28 – 150
- Dateline:RIT 10/12 – 126
- Coaches Corner 10/10 – 125
- Saunders Announcement – 119
- Coaches Corner (undated) – 86
- Coaches Corner 10/17 – 85
- Coaches Corner 10/24 – 43
What this still doesn’t tell us is how many people are subscribed to the podcast feed. How do we find that out?
From what I’ve been reading, you end up having to use a tool/service like FeedBurner to track that data. This means, though, that instead of just having our feed directly out there, we have to route it through them. So these would be the feeds to The Tiger Beat Blog and to the RIT University News podcast.
Or something like that. More on that another time.