The functionality itself is rudimentary by comparison with some of the more serious (and costly) monitoring and measurement tools but, in recompense, this makes it extremely user-friendly. You can check out what’s trending by looking at World Pulse – a list of fashion terms, including labels, ranked by current popularity. Or you can use Zeitgeist to run bespoke searches for specific keywords, which produces a list of the latest posts, tweets, images etc. for that term. Alternatively, you can pick one of the pre-configured categories to plug into the latest “neckline” or “make-up” chatter, for example. There are a LOT of people talking about these, though, if I’m honest, neither floats my boat particularly.

While Trend Science does produce attractive lists, charts and gauges, Geoff was at pains to explain to me that Stylesignal’s real skill is in predicting trends through offline analysis.  They really use Trend Science to validate their industry predictions and back them up with quantitative data. I think this is a healthy approach to social media monitoring. It’s best not to see it as a solution in itself, more a useful adjunct to existing research and analysis tools.

The most fascinating thing about Trend Science is probably that it’s genuinely forward-looking. David Cushman of the 90:10 Group made the interesting point at Monitoring Social Media 09 (and on his blog) that monitoring past data to predict the future is somewhat oxymoronic. Yet Stylesignal is doing just that, and to good effect. Perhaps the fashion industry, being highly influencer-led, is uniquely positioned for this kind of real-time analysis, but I suspect there are other industries that could be similarly pre-disposed: music, for one.

Lastly, it’s worth mentioning that Stylesignal’s solution is yet another example of social media monitoring tools going niche. Several weeks back I wrote about a niche monitoring service for the medical industry, and I can only see this trend continuing. Somewhat sneakily, I tested Trend Science by searching for “striped pyjamas”. Because the data sources are highly targeted the results eschewed any mention of books, movies or the holocaust and produced a short list of tweets and blog posts about pyjamas. Full marks again to Geoff and his crew.