Black Friday Week of focus! Social Analytics of Shoes! My 2 fav subjects! #socbiz #socialanalytics
So 2 of my favorite things: Shoes and Social Analytics. IBM showcased its Value on Social Analytics in showcasing a fav buy of everyone in the Black Friday Sales! Shoes!
A look back at the last 100 years of shoe fashion trends reveals that heel heights soared during the most prominent recessions in U.S. history. Low-heeled flapper shoes in the 1920s were replaced with high-heel pumps and platforms during the Great Depression. Platforms were again revived during the 1970s oil crisis, reversing the preference for low-heeled sandals in the late 1960s. And the low, thick heels of the 1990s “grunge” period gave way to “Sex and the City”-inspired stilettos following the dot-com bust at the turn of the century.
An analysis of the last four years of social media showed that discussions of increasing heel height peaked towards the end of 2009, and declined after that. For example, key trend-watching bloggers between 2008 and 2009 wrote consistently about heels from five to eight inches, but by mid 2011 they were writing about the return of the kitten heel and the perfect flat from Jimmy Choo and Louboutin. This is not to say that the sky-high heels have gone, rather that, as the economic downturn has wore on, they are discussed as glamwear and not for the office or shopping trip.
Here’s how the analysis was conducted: first, IBM used special analytics software to search billions of social media posts to identify individuals discussing shoes. This initial category contained tens of thousands of posts. Next, the software narrowed the list down to those who are key online influencers in the area of footwear – bloggers, for example. The software relied on special algorithms that rated the popularity of these influencers by zeroing in on the ones who sit in the center of large social networks – that is, writers of blogs that many other blogs link to and which in turn link to many blogs. These bloggers aren’t traditional “experts” – they don’t work in the footwear industry, for example. But they are passionate footwear enthusiasts with large followings.
Finally, the software analyzed the content of the social media sites, looking specifically for discussions of shoe height.
