Traditional music rankings seem to display an antiquated way of determining popularity and gauging success. For example, companies like Billboard and CMJ posit to accurately rank/chart artists based on variables such as CD sales, digital downloads, radio plays and ticket sales. However, CD sales are diminishing, and digital downloads and ticket sales represent only a portion of how an artist's popularity can be measured, as music enthusiasts have changed the way in which they consume music. Not to mention, many artists are giving away some of their music, and tours are only temporary reflections of popularity.

Online music providers from Deezer to Rhapsody also fall short, as true popularity can not be determined from web silos that collect data solely from within their own community.

With that said, a more holistic approach must be developed - one that considers the dynamics and trends of plays, sharing, recommending, comments, blog posts, faves, et al. from scores of web apps, and this is part of the service that we at Band Metrics have been working on long before our announcement at TechCrunch50. Internally, we call it the Popularity Profiling System, a patent-pending technology that scores bands and musicians using algorithms and other approaches. At present, there are 10 ways in which we score bands and musicians, and many of these scores are now available on our system. Since only a limited group of bands and individuals have seen our service in action, I'm not going to tip our hat at this time as to what these scores are, but, thousands of bands and musicians will be able to see their scores over the next few days as we continue to expand our private beta, so I'm sure word will begin to travel, and we'd love to hear your feedback!

In sum, my hypothesis is not intended to be critical of music ranking companies, but rather, cursorily unpack how we understand and gauge popularity relative to bands and musicians, as it seems this can only be sufficiently achieved through a scoring system that examines online information about artists from across the Internet landscape.

Btw, our system is far from perfect, but it will continue to evolve and adapt so please be patient, and please let us know how we can improve our scoring and analytics.