After our presentation for the Magazine Publishers of America in NYC on Tuesday, we received some requests for additional research. I spent this morning trying to find some statistical explanations for the performance of the magazine websites by running some regressions, checking for correlation between the presence of Web features and traffic (as measured by Alexa). However, much like our regression analysis of newspapers , this did not result in any significant results.
I wanted to find out which websites were performing the best in relation to print versions of magazines, so I created an online-print differential. This figure represents the difference between the ordinal online ranking of a magazine website and the magazine's ordinal print ranking. Large negative numbers indicate a website that outperforms the print magazine, where positive numbers indicate print versions that are outperforming their online counterparts. Here is a table that shows our results.
Print Rank | Magazines | Ordered Ranking | Differential |
40 | POPULAR SCIENCE | 9 | -31 |
33 | US WEEKLY | 11 | -22 |
30 | MEN'S HEALTH | 10 | -20 |
25 | MARTHA STEWART LIVING | 7 | -18 |
37 | TEEN PEOPLE | 19 | -18 |
29 | IN STYLE | 12 | -17 |
31 | COOKING LIGHT | 15 | -16 |
23 | U.S. NEWS & WORLD REPORT | 8 | -15 |
35 | GOLF DIGEST | 23 | -12 |
16 | MAXIM | 5 | -11 |
17 | O, THE OPRAH MAGAZINE | 6 | -11 |
27 | REAL SIMPLE | 16 | -11 |
38 | FITNESS | 29 | -9 |
10 | PEOPLE | 1 | -9 |
34 | SHAPE | 26 | -8 |
9 | TIME-THE WEEKLY NEWSMAGAZINE | 2 | -7 |
36 | FIELD & STREAM | 30 | -6 |
26 | GAME INFORMER MAGAZINE | 21 | -5 |
22 | SEVENTEEN | 17 | -5 |
39 | EBONY | 35 | -4 |
4 | NATIONAL GEOGRAPHIC*** | 3 | -1 |
19 | GLAMOUR | 20 | 1 |
24 | PARENTING | 25 | 1 |
11 | PREVENTION | 13 | 2 |
2 | TV GUIDE | 4 | 2 |
32 | ENDLESS VACATION | 38 | 6 |
20 | PARENTS | 27 | 7 |
21 | SMITHSONIAN | 31 | 10 |
12 | NEWSWEEK | 22 | 10 |
7 | LADIES' HOME JOURNAL | 18 | 11 |
28 | ENTERTAINMENT WEEKLY | 40 | 12 |
1 | READER'S DIGEST | 14 | 13 |
14 | SOUTHERN LIVING | 28 | 14 |
8 | WOMAN'S DAY | 24 | 16 |
18 | VIA MAGAZINE* | 36 | 18 |
13 | COSMOPOLITAN | 32 | 19 |
15 | GUIDEPOSTS | 37 | 22 |
6 | FAMILY CIRCLE | 33 | 27 |
5 | GOOD HOUSEKEEPING | 34 | 29 |
3 | BETTER HOMES AND GARDENS | 39 | 36 |
As you can see, it's difficult to infer any patterns from this data. I did see a few interesting things, however.
Overall, this analysis did not present any clear conclusions. I think that a problem with this type of research is that obtaining data for magazine Web traffic is difficult. I used Alexa to determine the traffic rates for magazine websites, but I am not confident in the true accuracy of these figures. Since Alexa only tracks websites visited by people who have installed the Alexa toolbar, the results are probably skewed toward tech-minded audiences and are not an impartial measurement.
Another problem with this sort of analysis is caused by what we dubbed "integrated sites"–magazine sites that are part of a bigger network of sites. Redbook , Country Living , Money , ESPN , and Sports Illustrated are examples of this type of site (Redbook and Country living are part of the iVillage network; Money and SI are part of CNN , and ESPN the magazine is combined with ESPN the network). Alexa could not read these magazine sites independently, and only presented data for the umbrella network. For example, when you type the Redbook URL into the Alexa search function, it gives back data for the entire iVillage network rather than traffic just for Redbook. As a result, we left these "integrated sites" out of the analysis, which probably left holes in the data.
While the analysis itself may not reveal any earth-shattering conclusions, it does draw attention to the lack of transparency in the industry. In order to conduct a real analysis, we would need access to accurate traffic and page view data, which would probably have to be acquired from the magazines themselves.
Check out our magazine study here and our newspaper study here .
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