Strategy + Data
At the start of this year I exchanged some thoughts with a fellow data nerd, and he asked me about my methods to sift through the tracks in Deezer.
I told him that I am just using the native tools available on Deezer. I knew how third party apps could wreak havoc with accounts.
(Another brilliant looking gif! I am curious to find out about the author.)
I'm trusting that Deezer is not 'sneaking' tracks I've already rejected. Not sure why I come across duplicate recommendations...I'm putting that due to compilation tracks and remixes. Because there is an upside of not discounting EVERY related track (like covers)...because...I'd smile a lot if the Fallon & Roots version of 'Call Me Maybe' would end up as a recommendation...compared to...if it was the original release by Jepsen.
(The gif is from Adele's one. Here is the one with Jepsen!)
One way I'm thinking about those doubles (or triples!) is a second chance. If I accidentally rejected a track...I'll know that it'll come back one day.
I did think about considering spending a bit of time at code academy...as they have specific lessons relating to the Deezer API.
This may be the right place to start, as it intersects with an interest (Deezer)…so insights for applications might be able to accelerate my learning.
So the process is switching between flow and mixes. I’m currently using three free version of Deezer. I’ve thought about going for the paid version…and decided to hold off as it’s likely that I can bring more people to use the platform if my posts are focused on the basic (no monthly fee) version…and I can just check with my contacts in terms of additional functionality (early releases and unlimited skip).
So if you aren’t opting for the version with a monthly fee, this is a way to get around the limited skip: If your skips are maxed out, just switch to another mix (or open another tab with a specific mix). Currently my main mixes are:
• Take It Easy (Though this may be more of a mood mix?)