Counting Traffic From Twitter
Posted 01 July 2009 - 08:36 AM
I was happy with the results... but today I thought... lots of twitter traffic goes through bit.ly and tinyurl. So, I reran clicktracks filtering for URLs containing "bit.ly" and "tinyurl". Found Nothing.
So, it looks like clicks from twitter to your site through one of these URL shortening services yield "twitter" as the referrer.
Anybody agree with that?
Posted 01 July 2009 - 09:18 AM
BUT, when looking at Twitter traffic, there are two things to note:
1. Lots of bots keep an eye on Twitter in real time and request the links. So if you post a link to your site and it doesn't get shortened, then you'll see lots of those bots directly in your logs. On Cligs I try to differentiate between bots and human clicks, and it's a race keeping the bot detector accurate. These requests will have no referrer or a bogus referrer (like the URL of the app the bot is associated with).
2. Lots of people access Twitter using desktop clients like Tweetdeck and Twhirl. When these users click a link, it opens a new request in the default browser, and this will not have a referrer either.
The point is simple: if you see X hits from twitter.com, the real traffic because of the tweet is much larger than X.
Posted 01 July 2009 - 10:00 AM
I didn't know about redirects carrying the original URL from twitter... and didn't think about the people who visit from desktop.
I appreciate your great response. Thanks!
Posted 01 July 2009 - 10:42 AM
It becomes a matter of chipping away at the problem. A couple of examples:
* retain feed control - publish your own URL as the ONLY source feed. Do not send your subscribers directly to Feedburner
* tag your feeds, images, pdfs, etc. If you are really geeky these can be dynamically altered for every download. Or simply item specific. Strictly Business Capturing the Value of Content Marketing.
It is a matter of acquiring what data one can to differentiate user blocks. If one is unable to tell type-in from desktop program or 3rd party app in the middle how about learning what drew them back? That can be valuable actionable information.
In April bit.ly launched a voluntary app registration program: Registered Applications And Better Click Referrer Data, to add some referer value to their URL shortening service. An interesting idea that might have legs, only time will tell.
It would be far better if all these pigs in the middle were simply designed with referer passing in mind but as that is not about to happen anytime soon, if ever, one must make do.
Posted 01 July 2009 - 11:02 AM
Posted 02 July 2009 - 07:53 AM
Being a control freak, I decided to build a shortener just for my own site (sorry, Pierre ), and have started measuring those links differently.
Posted 02 July 2009 - 08:58 AM
Two Cligs users created tools to integrate the short URLs with Google Analytics. The way it works is using the utm_* query string variables that GA understands. This is by no means unique to Cligs, but it's an easy way to do it
Add something like "?src=twitter"
1. Google Analytics Campaign URL builder with Short URL and Twitter posting.
2. The analytics issue with Twitter.
Long live rel=canonical!
Shouldn't be an SEO issue
That's OK, Dr Pete. Next time I see you in a conference, I'll just accidentally spill tea on you
I decided to build a shortener just for my own site (sorry, Pierre )
Posted 02 July 2009 - 09:35 AM
Well, the only traffic you'll see coming from Twitter is traffic that comes through Twitters web interface. And most people I know don't use the web interface, they use desktop and / or phone clients. Because these clients aren't browsers, they won't pass along a referrer, and thus register as "direct traffic". (from Joost de Valk's article http://yoast.com/twitter-analytics/
Now I am starting to understand this.
Any ideas on how to distinguish bots from humans?
Pierre, Cligs is a great idea. Congratulations on making a nice product.
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