A note about this plot:This is a type of statistics visualization known as a box plot. Disclaimer: I’m a big fan of box plots. It gives us a feel for the distribution of data. The left end of each box represents the 25th percentile of the data, the right end of each box represents the 75th percentile, and the heavy black vertical line represents the median. For example, for Chinese language websites, the 25th percentile is 14 seconds, the median is 33 seconds, and the 75th percentile is 41 seconds. The thin lines at either end of the box—known as the whiskers—extend to the minimum and maximum data points measured.
We do see slight differences in engagement by language, but they are not overwhelming. The distributions overlap quite a bit. That said, there is a 15-second difference between the median Engaged Time of the largest median Engaged Time (Chinese language sites) and the smallest median Engaged Time (Arabic language sites). Western European languages tend to have nearly identical engagement. If there are any similarities, content written in Eastern languages like Chinese and Japanese do appear to gain engagement more than Western languages, but I’m no expert on languages, so I’m hesitant to conjecture further. And, let’s be honest here, I haven’t done a rigorous analysis—it has so far just been a fun exploration.On Friday, we’ll be announcing our lineups for the knock-out stage. As always, I’d love to hear your thoughts, so feel free to tweet them @dpvalente using the hashtag #AWWC.
On March 31, the Media Rating Council (MRC) announced it was lifting its advisory on viewable impressions for display advertising, bringing the industry one step closer to transacting on viewability for the first time. The point at which publishers are asked to deliver highly viewable campaigns is rapidly approaching. If you haven’t started to develop a strategy to maximize the viewability of your ads, I’d wager that in the next three months, you will.There are many tactics that can be applied to improve your ads’ view ability: ensuring fast ad loads; lazy-loading advertisements; and redesigning a website to feature always in-view units.One issue has gotten surprisingly little discussion, though: Ads are much more viewable on pages that people actually want to read. Take a look at the following figure, which was computed across a sample of a billion ad impressions across the month of May 2014.
We see there’s a strong relationship between what fraction of ads are seen and how long a person spends reading the page: as Engaged Time increases from 15 seconds to one minute, viewability goes up by over half, from 37% to 57%. Visitors who read for more than 75 seconds see more than 60% of advertisements.This isn’t too surprising. Of course, people who read pages more deeply see more of the ads on the page, but it’s still worth taking note. We’ve argued for years that articles with higher average Engaged Time should be promoted because they represent the articles your audience is most interested in, and—in the days where viewability is more critical than ever—promoting your most deeply read articles makes good business sense, too.
Wait, how does a draw work in the AWWC?Many of you will notice that in some games a two-second differential, for example, will result in a win for one of the teams, yet in another game, a two-second differential will result in a draw. Take, for example, the Cote d’Ivoire/Japan matchup. Japan had a median Engaged Time of 26.0 seconds, and Cote d’Ivoire had only 20.0 seconds. A six-second differential, but we had a draw? What’s with that?As I said in the last post, I determine the winner in a statistical manner. Over the course of the game, I sample Engaged Time for users from each country for the top 20 articles on each of Chartbeat’s sites. This results in a distribution of times for each team. To determine a winner, I ask, statistically, whether these two distributions are different. In other words, I try to determine that if I had a large enough sample of Engaged Times for each country, would it turn out that one country consistently had a larger median Engaged Time? The problem—and this is a fundamental concept in statistics—is that the size of a sample is directly related to the precision with which you can judge your statistic of interest. In our case, this amounts to the fact that the more data we have, the narrower the margin can be for us to determine a winner.And here’s the rub: For countries like Cote d’Ivoire and Japan, we didn’t have many samples to look at. With these distributions, there is too much variability in the data for us to precisely determine whether the 26-second median we measured for Japan is, in actuality, truly larger than the 20-second median we measured for Cote d’Ivoire. We just can’t know if Japan had such a large median only because of the particular sample we drew in comparison to Cote d’Ivoire’s sample.In this way, the Attention Web World Cup is quite democratic. Those countries whose web presence across our sites isn’t very large don’t automatically get relegated to the bottom of the heap, they have a good chance at getting 1 point through a draw.Keep checking back for updates and tweet about your favorites using #AWWC.Boa Sorte e Divirta-se!