As part of the newly launched Pantone Moods Facebook application, the world-renowned color gurus asked us how we could make the social phenomenon (a quarter million moods have been posted, to date) more exciting for users. Color enthusiasts have had the ability to share their emotions and tag them with Pantone color chip values for the past three years. However, in addition to tripling the color selections (Pantone GOE, and, now, Pantone Plus and Fashion + Home libraries) and and interacting with other members, mood-posters now have the ability to share their gender and location information with the world of users online. In league with OKCupid Trends and Mint Data, Pantone Moods users can see who has posted similar moods and color chips. They can even filter down by Facebook location, gender and time of post to see whose emotional spectrum is the closest to their own.
Part of the Moods Trends data, as seen above, features a global overview of moods posts since the inception of the application in 2009. Of the 125k moods posted, only 4,000 users have begun to share their data with the worldwide network of posters (notice the “unspecified” value in the Most Active Gender/Colors chart on the left). What’s fascinating is seeing the how color enthusiasts have embraced Pantone Moods on an international level, with New York City being the fourth most active city and the preceding ones all being international (Sao Paulo, Mexico City and Bangkok, respectively). Not surprisingly, the most popular word used in moods posts is “color,” with only three words ranking in the top ten that are actually the color names themselves (#2 – blue, #8/10 – green/verde). Per our hopes, the bulk of the most used words are those relating to emotions (happy, love, etc.) and we’re excited to see which colors, words and cities can upset our data as trending adoption grows.
There are over a dozen different charts that calculate mood usage and compare/contrast your contributions with friends and strangers on Facebook. I’ve only shown the global trends above as the current, local, color and mood trending data is quite sparse at this point. If you’d like to contribute to the trending data, simply add the application and post your mood (keeping the box checked to allow Pantone to include your gender and location in trends). Currently users can browse a spectrum of their own history (see mine here), with Pantone Moods trend data launching soon! Be part of the worldwide wonder!