From time-to-time, in an effort to improve the overall site experience, Gawker runs A/B tests on various features of our blogs. As we examine the results of these tests, we will try to publish the results here, to give some perspective on features we are testing and how we think they improve (or don’t improve) the…
Google’s stock price made a crazy jump last week, at least partially predicated on mobile search. The major change is ‘deep linking’- mobile search results that take people directly to an app or to content within an app. Google mentioned that Etsy was seeing a boost in traffic from this feature, leading to Etsy stock…
Our own Annalee Newitz recently posted about Gawker Media’s policy of not storing IP addresses, in response to the subpoena issued to Reason last week. Since I spend a lot of time with Gawker’s data and a little bit of time with Gawker’s lawyers, I obviously have thoughts about all this (as always, I’m not a lawyer…
While I usually post here about Gawker Media business, I also teach data visualization at the City University of New York. My students posted their final projects and they are just outstanding, so I wanted to share them with everyone here.
About a week ago I got an alert telling me one of our articles had 3,000 people reading it at the same time.
As of last week, we have started tracking what percentage of readers complete each post.
Late last week Facebook posted the video of their f8 News Feed Session:
Yesterday I had a chance to talk with a bunch of other web data-analysts about how we think about web traffic (thanks for hosting us, Google!). We talked about a bunch of different topics, including how we think about 'mobile' traffic.
A quick bug report: today we discovered that we have been preventing search engines from indexing our pages for a few days.
I'm a big believer in publishing negative results. There's a lot of time to be saved by sharing theories that didn't pan out: maybe more than talking about ones that did.
About two weeks ago, we changed how we post to the Gawker.com homepage. Max wrote about the new set-up and the reasoning behind it, and asked me to take a look at what the impact was.
Our main job here on the data team is understanding our product and traffic. It can be difficult: building systems to reliably monitor and track multiple sites with ever-changing content takes a lot of work. And that's before we even try to make sense of the numbers.
As I mentioned in a previous blog, we have turned on Google Analytics 'cross-domain tracking' across all Gawker sites and most of Kinja. However, the process took a lot longer than it should have, mostly due to my lack of understanding. I figured I'd share my poor choices with you in order to prevent you from…
This isn't strictly related to Gawker Media, but I couldn't resist: my students at the City University of New York have completed their final projects, and I'm excited to share them with you. You can see all their projects (along with the ones from last semester) here.
Occasionally, I need to find how closely two things are correlated. This generally isn't too difficult. I just plug a few vectors into my favorite statistical software and boom: correlations.
What is happening: Over the next two weeks, we will be rolling out cross-domain tracking for Google Analytics across all Gawker Media and Kinja sites.
One of my jobs here at Gawker is understanding and communicating how users are interacting with our site. A stat I get asked about a lot is time-on-site or engaged-time-on-site: though the ability to approximate time-on-site has been around for years, Upworthy and Chartbeat deserve a lot credit for re-imagining the…