Which is a bit of a misnomer, since my selections are actually a combination of Spotify’s recommendation engine, actual listenership, and ad results. I integrated the top country lists from both songs to help optimize the tier structure I described in my previous post and generate my own “algorithmic 25” list. I didn’t mention the artist or song title in the playlist ads, so people would often Shazam it: I promoted “ Juggernaut” with ads for many months, directing both to my artist profile and my Vocal Synthwave Retrowave playlist. What if I isolated my search to tracks that aren’t on any big playlists? Exhibit A: “Juggernaut” Just because a playlist has a big following in France doesn’t mean the people there like my music. Problem is, my data is hopelessly skewed towards the biggest playlists my music is on. Remember, we’re not looking for buyers or clickers – we’re looking for streamers. Or I could look in the most obvious place, Spotify for Artists.

I could look at clickthrough ratios on Facebook Ads, or Google Ads, or compare both. I could aggregate my sales data from my website and Bandcamp. To determine which countries are most receptive to my music, there are plenty of places I could look.

Here goes! Data mining for fun and profit Until that time, I’m willing to share my thought process and procedure. I haven’t heard or read about this approach anywhere else, and it’s quite possible that someone will expose a logical flaw in my reasoning, forcing me to delete this post out of sheer embarrassment. I had an idea to do just that, and so far it’s worked out pretty well! In our last installment, I detailed a process to evenly distribute your Facebook and Instagram advertising budget across Spotify countries by splitting them into tiers.īut what if you’d rather focus on only the countries most receptive to your music?

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