Interesting feed analysis tool

I don’t pay a whole lot of attention to site statistics for FML and one of the reasons for that is that I am not really a numbers-and-math kind of person. Plus FML is such small potatoes and it is not ad-supported in any way that I don’t feel compelled to knuckle down and pay close enough attention to site traffic.

Having stated that, I am always interested in trying out tools that help me quickly grasp interesting facts about site traffic. I learned of one such tool this afternoon via the Performancing blog, called Feed Analysis v1.1 by BlogPerfume. It’s a free service that uses a nice interface to take a Feedburner-generated site feed and output interesting graphs and analysis. Below is a thumbnail of a report from FML (click on it to see the full size screenshot).

feedburner-analytics.jpg

What I found particularly interesting in this tool is the analysis of a blog’s “worth” in terms of possible ad revenue, and the projections it can generate in terms of subscriber growth for the future (e.g. in six months, FML will have x number of subscribers; in twelve months, it’ll have y number). By the way, FML is monetarily almost worthless. No big deal.

Really all this service does is take Feedburner information and present it in a nicer, more intuitive way. But that’s its value and I think it is great! For instance, before I ran a report in Feed Analysis v1.1 I only had a foggy concept of changes in subscribers to FML. I had an impression that the subscriber base had grown over the past year but nothing more specific. Thanks to the report shown in the screenshot give above, I can instantly recognize a fairly consistent growth rate, and I can see how many subscribers are added or lost over the past several months. I can see the general growth rate but I can also quickly see the specific rate of new subscriber growth. In the screenshot shown above, I’ve added a straight line to match the lowest and highest points to give an idea of a generalized growth.

The other chart that caught my attention was one that tracked all kinds of things together with different colored lines: hits, views, subscribers, and clicks. To understand what each of those means you have to be sure to read Feedburner’s definitions of these statistical terms and how they are counted. But anyway, I was startled to see how big a jump has recently occurred in terms of overall interest. I’ve highlighted that by marking a portion of the chart in a red oval in the screenshot. What is also cool is that when you run your cursor over the graph, e.g. left to right or vice versa, you will see dynamically changing totals for all of the stats mentioned.

Overall, a definite thumbs up.

BI, oh my

I’m still getting used to corporate lingo and ways of doing things. Frankly I often try to suppress the instinct to roll my eyes with a lot of it because there is quite a bit of nonsense in it. Or else corporate types run around looking earnest and thinking they’re inventive by using buzzwords that mean exactly the same thing as something that’s been around for years. (Think ‘taxonomy’ vs. ‘cataloging.’ Yeah I know, technically they aren’t equivalent but they are kissing cousins and principles they use are much the same. It’s like cataloging for dummies.)

Today I was reading a post published in the Forrester Information and Knowledge Management Blog that talks about BI. Now as a longtime librarian, my immediate reaction was, huh?! BI? Oh my, are they talking about library BI (bibliographic instruction)? Nope. BI = business intelligence. Ok, I say to myself, just go with it. Actually the post is well worth reading, lingo aside. The author mentions the fact that the most commonly used BI tool is Microsoft Excel. I found that interesting. I use Excel quite a lot. So I’m doing BI too, just not the kind I thought he was talking about at first ;-) He also mentions that Google has added pivot table functionality to its Google Spreadsheets tool. To me that’s a big deal because I find pivot tables one of the most useful if little understood or used parts of Excel. I’ll have to go try it out. I know that those in “the enterprise” quite often turn up their noses at what Google is doing in terms of appealing to “enterprise users” with its web-based tools. But I think Google is really onto something here. Anything that breaks the stranglehold of Microsoft on such office tools is a good thing, in my opinion.

I’ve been using Excel quite a bit lately to track issues and problems reported to me or discovered by me or my team relating to the systems and services I manage in my library. This is something new for me even though the work itself isn’t. I’ve been told that “we need more metrics, metrics, metrics” so by gum, I’m going to provide metrics up the whazzoo. A friend and colleague in my library had already started using Excel in this way last year for a similar purpose. Even though it’s all a bit crude, you know what? It works. So I decided to copy what she did and modify it for my needs. It takes some getting used to and sometimes I wonder if the time spent on keeping it up to date is worth it. (E.g. should I track how much time I spend just on keeping it current?!) I started it with high hopes and kept it going for a few days, then came a huge influx of severe problems from all sides, I got overwhelmed just trying to address them, and neglected the issue log. In the last week or so I finally was able to get caught up.

One of the lessons I’m learning about doing this is that it’s only as good a tool as the amount of time you invest in it. I also am learning that although it might seem crude and surely there are more elegant solutions out there somewhere, it works for me and makes use of an existing tool. There’s more. As the evidence gets built up in the issue log, I am getting excited about the possibilities it provides for providing concrete facts and figures about what me and my team are doing, day in and day out. This becomes a record that helps demonstrate our value to our organization in new ways. I have very little staff or other resources at my disposal. I know we are doing a great job and that we can always improve. But our efforts aren’t recognized or valued a whole lot. Looking at trends and patterns in the issue log will help me combat the myopia.

My del.icio.us bookmarks for February 18th through February 19th

These are my links for February 18th through February 19th:

  • FeedBurner – A service for adding a lot of additional blog bling, for free, including email subscriptions, traffic statistics, and other stuff.
  • Page2RSS – Creates an RSS feed for any web page so that you can be alerted when a change has been made. Checks each requested web page every 2-4 hours.
  • Family Photos – Dan scanned several old family photos and put them on a web page.
  • Traveling Days – Dan’s website.
  • My coComments – Links to comments that I have made either in response to comments on my own posts, or in response to posts on others’ blogs. Includes the whole conversation for each post for which a comment has been made, not just what I’ve said.
  • Yahoo! Pipes Search on “Library” – A simple search on the keyword "library" in the growing catalog of Yahoo! Pipes.
  • Amazon.com Associates Central – Information about Amazon Affiliates program, including stats, amounts accrued, etc.

Those who really like me

The title of this post is definitely tongue-in-cheek. A joke, really. Seriously, though, another statistic that many people find very important is the number of people who subscribe to their blog’s feed. More than just about any other measure, the number of subscribers to a blog’s feed gives a sense of how “interesting” or worthwhile others find what you have to say. I use Bloglines for my feed aggregator so I pay attention to that service more than anything else. At the moment I have a grand total of 54 subscribers in Bloglines. That’s not a large number, but I don’t care. I am very happy that there are that many people who find this blog interesting enough to subscribe to its feed.

In addition to Blogline subscribers, I also have seven people who subscribe to this blog via email updates.

One other way I know of to judge “interestingness” of this blog is via Feedburner. Feedburner counts subscribers in a different way than Bloglines. Its count is “based on an approximation of how many times [my blog's] feed has been requested in a 24-hour period.” I created a Feedburner feed on June 27. Since that time, the average number of subscribers according to Feedburner’s calculation is six. The highest number during that time has been seventeen and the lowest has been zero.

So…There you have it: some measures that help me figure out how many people really, really like me (well, this blog, to be precise). Thank you, Sally Field.