Musician's Arsenal: Killer Apps, Tools & Sites - Crowdbooster

Welcome back to Musician’s Arsenal. This week we’ll be going over analytics. Too few artists actually pay attention to their social media analytics. Some just don’t know analytics for social media exist, some don’t know where to find them and some don’t think it’s important. It’s time to remedy all of this here and now. Crowdbooster recently launched the public version of their site (it had been in private beta for a while), and they join a legion of other social media analytics solutions available to musicians. I choose Crowdbooster to write about due to it’s ease of use and affordability (how’s free?). Crowdbooster provides straight ahead, no nonsense analytics in an easily digestible format.

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UPDATED: Can Computers Analyze Songs For Hit Potential?

In response to the ASCAP/HITLAB announcement that basically endorses the use of algorithms to analyze the hit potential of songs, I thought I would weigh in on the subject.

Proceed with caution…
As someone that spent the better part of a year evaluating similar algorithms, technology, services, business models and patents connected to acoustic analysis and hit potential measurement, I can tell you that you should proceed with caution when making a purchase or career decision that involves the utilization of services that sell computer-based, hit-analysis technology. 

It’s fascinating technology, however…
Generally speaking, the technology is reasonably accurate (my experience: 80% accurate, and often close enough to my expectations) when it comes to plotting a song relative to a cluster of preexisting hits and then rolling the plots into a meaningful score.  However a high score doesn’t mean you have a hit on your hands, or that “hits” even matter anymore.  Read on…

Here are some pros and cons to consider when evaluating services that use computers and algorithms to evaluate music:

Computer-based hit analyzing technology - the pros…

Targeting.  If detailed reporting is offered, this technology should show you how close your song is to clusters of previously recorded hits.  This information is useful for targeting listeners of similar sounding hit songs. 

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