Number of Followers / Monthly Listeners x 100 = Level of Engagementħ7,203/551,353 x 100=14,00 would be the conversion rate of singer and songwriter Eloise The most suitable value averages about two streams per listener once the song has surpassed the promo stage. When it’s time to analyze this metric, we should ask ourselves which have been the main sources of streams. Song retention evolves throughout the release stages ( promo – stabilization – descent). This would mean that every listener, listens to this song 1,78 times per average. Monthly Streams / Monthly Listeners = Song Retention Practical example: Both metrics Song & Profile retention are ruled by two KPIs: Streams and Listeners. In the end, this metric teaches us the magnitude of the audience’s engagement with the artistic project. The most important thing is to focus on the direct consumption from listeners rather than the consumption from playlists. There’s no average goal ( of course, the higher the better), but we should always make a personalized study about the artist profile and set up the suitable value based on their career stage. In ancient times (1 month ago) we had to use a calculator but Spotify knows we are lazy and now we have these stats available: In this blog, we’re going to talk about the spiciest ones. On the other hand, metrics analyze the behavior of maybe two or three KPIs. Then, the metric translates the results into the form of a graph, a percentage, a chart, etc, and shows us the important info we want to know such as Skip Rate Value, Source of streams, Charts, Song Retention, Profile Retention, Level of Engagement, etc. KPIs ( Key Performance Indicator) are simply indicators such as the number of monthly streams & listeners, saves to collection, downloads, views, likes, followers, subscribers, etc. Perhaps, the next step may be psychological data. If we go further, we can distinguish three different analytic categories: KPIs ( Basics & Metrics/Graphics), Demographics, and Behavioral data ( Cultural, Social & Personal behavior, Brand Affinity, Interests, Related Artists, Music Genres, etc). Analytic platforms offer us different kinds of data within these two. We can distinguish two basic groups when talking about music streaming metrics based on what they analyze: Song/Music and Artist Account. “But I don’t know anything about math… I just know how to make music!”ĭon’t worry, we have had calculators since 1642 and you’ll need them just for a few (easy) operations at the end of this post. Basically, as musicians, we have access to tons of stats and metrics, and sure, we spend a lot of time counting how many people are streaming our songs, but what do we do with that information once we have it? How do we make the data speak to us in a way that makes sense? Don’t despair! We have made a quick guide to get into the nitty-gritty of reading and interpreting your stats.
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