One of the things I’d really like to do is write music for computer games, or have tunes I’ve written placed in a game.
A few weeks back, I was in touch with an app developer, TrickJazz Studios, who are planning to make some games to aid relaxation. We had a couple of emails back and forth, then I didn’t hear anything for a bit.
We had a follow-up phone call this week, to discuss whether we could work together on the project. TrickJazz are a start-up venture and have been looking to recruit independent artists. They are aiming to get some big underground artists on board, or at least up-and-coming ones who are active on social media, as that makes it easier for them to get the games known about. I was asked to put together an email to describe what I could bring to the table, as that would influence whether my tune would be chosen.
On the back of that conversation, I had a pretty late night, pulling together relevant information on my ‘audience demographics’. In fact, I was up until after my resident blackbird had sung his morning song, as social sites like YouTube and Twitter can tell ‘content creators’ quite a lot about their audience.
The business side of being a musician doesn’t get talked about a lot, but it’s actually just as important as making good music, and understanding your audience is part of that.
Social media sites can tell you things like whether people watch your videos on their computer or on their phones, what countries you are getting views from, and what proportion of your audience is male/female. Obviously, none of the details given are personal, just general statistics about the overall audience. The data can help with understanding whether you’re communicating well with the people you’re in touch with, and whether you’re reaching the same people you expected to.
Whilst there weren’t many surprises, one thing I discovered this week was that the male:female ratio of people watching my Youtube videos is completely different in the US to the UK. This really surprised me, as I would have expected the distributions to be quite similar.
If you have any ideas why this might be, I’d be interested to know what you think in the comments, as I’m currently a bit puzzled!