![]() ![]() Women who look at a lot of tech and financial sites are more likely to end up being slated as being of the male persuasion. The cookies on my work computer are convinced I'm a man because I spend a lot of time at Forbes (thought to be 65% male, and mainly readers age 33 and up) and tech sites like TechCrunch (65% male as well) and Ars Technica (77% male), and not enough time at Cosmo and Groupon (estimated to be 69% female visitors). If you're a lady working for the NFL and you visit a ton of football websites, it probably thinks you're a dude when you're at work. Your home computer may be a more accurate reflection of you, if your job is taking you to sites on your work computer that you wouldn't normally visit. ![]() Since the information about you is stored in cookies on your computer - and not associated with your more persistent Google account - there's a different blender for each computer you use. The whole project, though, has me wondering about how accurate these demographics are.) This kind of survey data is often provided by sites themselves, and by companies such as Neilsen and Comscore. (Google doesn't say which companies it gets demographic information from. Google hits 'Blend' (in the form of a mathematical algorithm) which spits out your likely sex and ancientness. With every site you visit, the average demographics for that site get dropped into a big blender. ![]() Google has demographic information for over two million websites, with estimates for each one as to the percentage of visitors that are male or female, and their age ranges. Google's guesses about your ad preferences are not based on your Google Account activity (i.e., your Google searches, the contents of your Gmail, the YouTube videos you've uploaded, etc.), but instead on your Web browsing. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |