Four reflections on SoundCloud’s fan-powered royalties & the flaws of subscription models

SoundCloud is adopting the user-centric payment model, branding it ‘fan-powered royalties‘. I’m a proponent of the system and was even product director at a music streaming service that employed a user-centric model (IDAGIO’s ‘Fair Artist Payout Model’). Yet, recently I wrote a piece in which I worried about fan-powered royalties being a distraction for SoundCloud, so here are four reflections on the latest announcement.

[Out of the loop? Read my primer on user-centric payment models.]

#1 Recalculations of revenue distribution don’t tell the full story

I’ve sat in on more than a few discussions about user-centric payment models. These discussions often cite research papers that compare how the status quo of music revenues would differ in a user-centric model versus pro rata model. While it’s important to use the data at hand, this also causes a bias.

The streaming landscape, including the vast majority of all digital strategy employed by labels & artists, are based on a pro rata model. What types of services would succeed in a user-centric landscape? What type of strategies would emerge?

#2 SoundCloud should consider fan-powered royalties a platform pivot

The way music streaming services function is strongly influenced by their economics (funding models, user payments, rightsholder compensation models).

Music streaming services sell the catalogue to get new subscribers, who are treated as listeners first, fans second. “Music for every moment”: radio stations, curated playlists, autoplay – all ways to stretch people’s listening sessions to get more value out of the service & either subscribe or stay subscribed (or at the very least trigger more ads).

In a user-centric model, encouraging high listening diversity runs counter to artists’ interests. If I start a rap career (under an alter ego, to avoid another trademark claim) and I bring a fan to a platform because it’s user-centric, I do not expect that platform to then do everything in its power to make sure that fan listens to many other artists, thus diluting the value I get per fan. Rather, I’d expect the relationship to look a bit more like fan clubs (e.g. some crossover between the Patreon / OnlyFans walled garden model and streaming’s attention diffusion model).

In other words: SoundCloud should follow these fan-powered royalties with feature sets that make the platform more fan-centric.

#3 The flaw is in the subscription model, more so than the remuneration model

60,000 songs are added to Spotify daily. The democratization of music has been great if you think it’s important that more people than ever participate in the creation of recorded music. It’s also creating an increasingly competitive landscape.

What happens when the entire potentially addressable market has been sold streaming subscriptions? The pie stops growing. Long before that, the growth of that pie will slow down much faster than the number of new artists adding their music to services’ catalogues.

Streaming subscriptions are a dead end road. A user-centric model only rewards those artists whose fans don’t listen to a lot of music or are extremely loyal, thus maintaining a high “average listening-share per user“. User-centric models don’t generate more revenue.

One of the most insightful people about this problem, who regularly writes & speaks about it, is Mark Mulligan.

#4 Music streaming services need to become ‘music services’ with revenue models that scale vertically

I’m going to skip over some important nuance:

Streaming is not a feature. Music access wasn’t a problem. Piracy solved that. Legal music access was a problem. Rightsholder remuneration was a problem.

For nuance, read my 2016 piece “Streaming is not the future of the music economy“.

When you look back at the history of streaming services like SoundCloud and Spotify, you find an era with APIs that allowed external developers to tack on all kinds of additional experiences. Much of that has been shuttered (in part due to licensing agreements) and an assumption has emerged that music streaming subscriptions paired with the familiar UX conventions are the definitive model. They’re not.

Music streaming was only supposed to be the base layer. It’s a layer on which we need to build alternative revenue streams that scale vertically. I may be butchering economic terms here, so what I mean with that is this:

Music streaming has done a tremendous job at scaling horizontally: getting millions of people around the world to pay a flat monthly fee of $10, or the local equivalent. It has done a horrible job at scaling vertically: fans with more to spend basically go unmonetized.

Meanwhile, the model for artists still looks the same:

  1. Make great music.
  2. Grow your fan base.
  3. Monetize your most limited resource.

That most limited resource is time. A live show is a limited event. A virtual meet & greet is limited. A livestream is limited. An autographed shirt or record is limited. An NFT is limited.

Streaming services, besides integrating merch, have done very little to create new revenue opportunities for artists. This is a failure of the landscape, rather than specific services. It’s hard to run a music streaming service: the economics are brutal. You have a high burn rate with upfront ‘minimum guarantees’ paid to rightsholders, you need to justify that burn rate to investors with fast growth, so streaming services tend to get locked into a single model.

The first link in this article, about SoundCloud’s fan-powered royalties, goes out to Fred Wilson‘s blog – an investor in SoundCloud. Hopefully it’s a signal of an understanding between SoundCloud’s leadership & investors that the company has to pivot from being a music streaming service, to being a music service that supports fan-centric business models.

That’s essential, because what happens now is that an expectation has been created with artists. They expect fan-powered royalties to work out better for them, but what’s the strategy to grow the pie?

The music companies going remote long-term: database

2020 has turned a surging trend into a global reality: remote work. Spotify, which currently employs around 5,000 people globally, recently committed to staying remote-friendly beyond the pandemic. What other companies in music have the same intention?

View database | Submit a company

Remote work has not taken off in the music business as it has in other industries. This can partially be attributed to some commonly held beliefs, some of which specific to creative industries:

  • “The music business is a people business.”
  • “Real collaboration can only be done in person.”
  • “It’s hard to maintain a coherent team culture remotely.”

These are all valid concerns. Being remote-friendly requires a shift in workflows to make asynchronous work easier, a shift in management, and a general shift in mindset.

Pros & cons to remote work

Buffer, a social media tool for scheduling posts, has been championing remote-first as a company. As such, they create a yearly ‘State of Remote Work‘ report to research how remote work is developing. Its latest report found that ‘not being able to unplug’ is the biggest concern among remote workers.

Switching off is a notorious topic in music, since it’s all too common for people to work deep into the evenings. I figured the pandemic might play a role in this, due to people being stuck at home and coworking spaces being closed, but people working remotely pre-COVID struggle with this as much as others.

On the flip side, remote work also has benefits. While the below chart focuses on the worker, there are also organisational upsides. Remote work benefits from maintaining workflows in which people won’t get blocked. People have to be able to work asynchronously as much as possible, so they don’t have to wait for people in other timezones or on other schedules.

While you don’t need to work remotely to clean up workflows, the friction might not have been visible to managers since people could resolve blockers by walking over to a desk. As such, remote work brings the benefit of forcing clarity, transparency, and focus to well-performing organisations.

For further reading about the benefits of remote work, I recommend the somewhat hyperbolically titled piece by Nomad List and Remote OK founder Pieter LevelsThe future of remote work: how the greatest human migration in history will happen in the next ten years“.

Remote work discussion (Feb 25 on Clubhouse)

We’ll be going live on Clubhouse on February 25, 8pm CET / 2pm EST to discuss remote work in music. I’m looking forward to hearing from leaders and workers in the music space about their learnings and plans for remote work going forward.

RSVP on LinkedIn | RSVP on Clubhouse

Clubhouse screenshot in the App Store

Clubhouse = podcasts + proximity

If you haven’t spent time on Clubhouse yet, you either didn’t get an invite yet (abundant now, so ask around), are on Android, or understandably chose not to believe the hype.

The new social media kid on the block has seen plenty of long-form analysis, especially considering it’s such a simple app (highly recommended reading: Clubhouse’s Inevitability by Ben Thompson). Its success can be explained by a simple dynamic too.

Clubhouse = podcasts + proximity

The audio part of the app is popular for many of the same reasons that podcasts are popular as a type of on-demand talk radio. They’re informative, entertaining, and people derive comfort from the connection they have with the podcast hosts & guests – or just hearing their voices.

Clubhouse adds a sense of proximity to the podcast effect. Instead of the distant creator-listener relation, listeners are on a more equal footing. Even if Clubhouse has concepts of session hosts, a stage and an audience, at least you’re in the same room. You can directly follow people. You can raise your hand to speak to them. You can connect to them afterwards.

The dynamic feels similar to the early days of Twitter. Suddenly you could use 140 characters to reach out to the world’s top thinkers and artists who had already signed up to the service (an early adopter of both platforms is deadmau5). You’d usually get a reply and sometimes even a follow. It was significantly easier to build up a following in those early days and by having an following early on, you’d automatically grow your following as the platform went through its growth phase and people looked for interesting people to follow.

While FOMO may be the reason why people flock to Clubhouse, proximity is the glue that makes the experience sticky.


πŸ‘‹ You can find me on Twitter and Clubhouse as @basgras.

❀ If you’re on the MUSIC x Patreon, give me a ping. I have a couple of Clubhouse invites to give away and I’d love to have more of the community on there.

πŸ‘€ Recommended reading: I wrote about the benefits I reaped from being an early adopter of SoundCloud (@bas).

Photo by Dmitry Mashkin on Unsplash

How SoundCloud should tackle fan-artist payments and reconquer lost ground from Bandcamp, Instagram & TikTok

SoundCloud is rumoured to announce new plans to “let fans pay artists directly” which some commentators interpret as the music streaming service exploring user-centric payment systems.

While user-centric payments definitely make the landscape fairer and realign incentives by making sure the money generated by fans of certain artists actually end up in those pockets, it’s definitely not a silver bullet solution to make up for the difference between desired and actual revenue artists receive from streaming services. In other words: for the vast majority of artists, the immediate change in royalties from a shift to user-centric would be negligible.

Furthermore, it’s complex to negotiate, as SoundCloud’s VP of content partnerships Raoul Chatterjee pointed out during a recent session of the UK streaming inquiries:

“The whole investigation into user-centric is a very detailed and complex investigation that needs to be taken. It’s one potential path we’re exploring… and it would require industry-wide conversations and support to be impactful.”

SoundCloud is doing ok (especially compared to a few years ago), is reporting growing revenues, but it’s losing relevance. SoundCloud does not have time for lengthy negotiations. As a platform, they’ve lost their footing at the center of music subcultures and the longer it takes for SoundCloud to regain its position, the harder it will become.

Keep the lawyers at the (virtual) negotiation tables, but in the meantime, claw your way back.

SoundCloud’s relative interest over time based on Google searches.

Instagram, Bandcamp, and the post-Covid landscape

Two questions.

Firstly, where do music scenes go to connect to stay connected with each other in 2021? I’ve argued that Instagram has usurped community building from SoundCloud. Of course it should be noted that TikTok is playing an increasingly important role there, especially for certain genres. To a lesser degree, groups on Facebook, Telegram, and Discord form places for people to share their latest tracks, get feedback, find people to do collabs or exchange remixes with, etc. As such, they’re also great places for fans to keep track of the latest developments in music.

Secondly, where did musicians turn when they struggled to make ends meet with just the income from Spotify, Apple Music, YouTube, etc.? They turned to Bandcamp in a massive way. SoundCloud, with its creator-centric roots, wasn’t well-positioned yet to accommodate these artists, because what it offers artists hasn’t changed much from its early beginnings. In 2020, being creator-centric meant helping creators make money – and SoundCloud didn’t have much to offer beyond what it offered artists since the service’s early days. That is: a place to upload your music and present it to other people. That addresses a pre-2015~ market need: making music easy to access. Access has been solved. Monetization hasn’t.

Another place that made music easy to access, YouTube, has been SoundCloud’s most important competitor. YouTube, since its early days, has offered social functionality similar to SoundCloud’s, in that one can follow creators (once innovative! Spotify only launched this 4+ years after launch), comment on tracks, and see other users’ profiles.

By 2021, YouTube’s suite has evolved to include membership clubs with monthly fees, monetization through content identification, and livestream monetization through social features that make fans more visible in the chat (similar to Twitch).

This is the landscape SoundCloud must address & find relevancy in.

(more about this landscape in my piece for Water & Music about the rise of the fan-centric music streaming service (paywall))

The social opportunity

SoundCloud was strongest when it catered to its early adopter users or users who exhibit that type of behaviour. Behaviour commonly associated with early adopter users is word of mouth, being a power user, and a willingness to overlook certain flaws as long as the product delivers exceedingly well on its core value proposition. These users are not well-addressed, since the value proposition has diluted over time in order to target wider audiences (e.g. through its Spotify-like subscription service). SoundCloud has made some great initiatives to woo creators in recent years, but the unifying aspect for all users on the platform is its listening experience – and that’s a social one.

People go to SoundCloud to discover new music. To find what’s ‘Next Up’ before it’s uploaded anywhere else. If you’re into a particular type of music, you’ll follow many of the same artists as other fans of that music and you’ll see some of those fans appear in the timeline comments on tracks.

Timed comments on Masayoshi Iimori’s track Alcohol.

On profiles, which have the same feature sets for fans and for artists, this social functionality is also present by displaying who someone follows and is followed by, as well as any tracks they’ve liked and comments they’ve left. For users who don’t upload any music, the main profile real estate consists of reposted tracks (similar to a Twitter user who only retweets). All of that is social.

Do the majority of users explicitly engage in social behaviour on the platform? Unlikely and it’s probable that a small minority of users create most of the (visible) activity, as on Twitter. SoundCloud is a community product where a minority of users create the value that the majority of users get off of the platform. Unlike Spotify, which tries to help users get as much value out of the catalogue as possible, SoundCloud should focus on the value users can get out of communities and the artist-fan relationship.

Lessons from gaming

This is not dissimilar to what fueled the success of games like Farmville or Clash of Clans. In free-to-play games, the majority of users will never spend any money. Instead, they create value for the ecosystem, so that a minority of users becomes willing to spend (big).

In order to leverage these dynamics, and create revenue for artists, SoundCloud must double down on social. How?

  • Step 1: Leaderboards on tracks and profiles. Show off the top fans of tracks and artists. Dedicated fans will want to earn their spot as the top fan. It’s not just fans: if you’re part of a certain music scene and want to make sure you’re ‘seen’, you’ll play new tracks on repeat, so you appear on the leaderboards on day 1. (just imagine K-pop stans, if you find it hard to imagine how fan communities would approach these types of dynamics)

    This functionality already exists inside the stats dashboards artists have access to. All SoundCloud needs to do is make leaderboards visible on the various pages and perhaps create a setting so people can exclude themselves from public leaderboards.
Screenshot of the top listeners of a particular track in a 7-day time period (stats dashboard).
  • Step 2: Track and profile pages as real estate. Leaderboards create social competition and a way for fans to earn status. Now comes the monetization: let fans pay to claim pages in a non-obtrusive way, similar to how YouTube’s Super Chat feature lets you claim visibility in a chat during a livestream. You could let artists set prices or create some type of market dynamic for this.
  • Step 3: Place activity & payment on the same currency. As in gaming, certain users will spend more time creating value through activity and other users will fuel the economy through payments. By creating an on-platform currency, SoundCloud could reward active users with tokens that accrue value as people purchase tokens to spend on the platform with ‘real money’.

The tokens could then help artists mint their work as NFTs and create a more sophisticated dynamic for ‘tracks as real estate’. Basically, artists could earn money from playback, from selling tracks as NFTs, and by making commissions off of people speculating and reselling music NFTs (a commission percentage can be defined in the smart contracts associated with an NFT). From here, SoundCloud could come to function more as a protocol and create a metaverse-friendly version of its other early value proposition: music playback that embeds everywhere. This time with music as a vanity item that all can enjoy, but can only be owned by one person at a time while always staying associated with the creator – even when NFT ownership transfers from one person to another.

As the user-facing part of the platform shifts towards creating more value from the artist-fan relationship and the activity inside fan communities, subcultures, and scenes, lawyers can negotiate with industry gatekeepers to change royalty administration to a user-centric model.

Some of the above is actually what the Audius protocol is trying to accomplish. You could also go a lot further than what I’ve described, as Audius intends and as Mat Dryhurst explored in his essay SoundCrowd: Tokenizing & Collectivizing Soundcloud. Long term blockchain visions aside, for 2021, being a creator-centric company means being a company that helps monetize, so SoundCloud must focus on the short term and employ an “opportunities multiply as they are seized” type of strategy. That means: not standing still to evaluate distant forks in the road, because what you do along the way will determine the paths you can take from that fork.

User-centric is too slow for SoundCloud

Is user-centric streaming the right thing to do? Yes. Will it help SoundCloud in the short term? No, because artists will not see significant enough returns in order for them to drive more traffic to the platform.

How can SoundCloud be as significant to artists as Bandcamp was in 2020?

SoundCloud must emphasize its community nature, since that’s how the type of value can be created that part of its core users will pay for. That won’t be most of the audience that SoundCloud has been marketing its music streaming subscription to (which can’t beat catalog-centric Spotify or value gap YouTube).

The platform must be selective about what type of behaviour it wants to cater to and the value it can create out of that. For that, it makes sense to use its DNA as a social music platform – something that Spotify, Apple (through Ping & Connect), and others have not been able to figure out. It needs to focus on the users that can amplify community excitement around significant monetization functionality and help make SoundCloud as culturally relevant as it was half a decade ago.

Signed,

A long term SoundCloud user with a 3-letter username: Bas (and more recently Viva Bas Vegas).

Mike Shinoda auction on Zora

NFTs are blockchain’s hottest new use case for music. They should not come as a surprise.

Linkin Park‘s Mike Shinoda just sold a digital piece of art for $30.000 and took to Twitter explaining some of this thoughts in a thread:

“Even if I upload the full version of the contained song to DSPs worldwide (which I can still do), i would never get even close to $10k, after fees by DSPs, label, marketing, etc.”

The ownership of this piece of art is tracked through a non-fungible token on a blockchain. Blockchains are commonly used as distributed ledgers: databases operated by networks of users, like Ethereum. They keep records of any changes to the ledger and can track things like ownership of tokens or cryptocurrency, e.g. Bitcoin.

But so what if a piece of art is recorded into a distributed database? Why the hype?

The current cultural moment is strongly influenced by the pandemic. Artists saw a big drop in income. Streaming revenue isn’t cutting it for most. So the big experimentation began. Artists searched for revenue through things like livestreaming, fan clubs, ticketed virtual meet & greets, online courses, and NFT auctions…

Why are people buying content that can easily be duplicated?

Many a music industry conference panel has bemoaned the fact that people are willing to buy a cup of coffee or bottle of water, but won’t spend that money on a download and instead chose to pirate it (in the days long before Spotify counted 150M paying subscribers). Two decades later and many of the same philosophical debates about the price and value of music continue. Meanwhile, gaming, an industry that faced the same piracy issues as the music industry, pragmatically pioneered ways to get people to pay for completely virtual items.

Gaming gave the ownership of virtual items a valuable context. People who spent many hours a week inside games would find value in virtual real estate or vanity items that translates into real world currency. This is not something recent. In 2013, someone paid $38,000 for an in-game item in Dota2 – an item which doesn’t improve a player’s performance, but just makes them look cooler. In 2010, virtual real estate by the name of Club Neverdie in online game Entropia sold for $635,000.

Now, ten years later, we’re seeing the same dynamic emerge for music. Owning an NFT doesn’t necessarily mean that nobody else can enjoy the work of art associated with the token, much like with physical art that’s exhibited. With the emerging metaverse, some are expecting NFTs to become its property rights.

NFT x Metaverse

The idea of the metaverse essentially boils down to a virtual shared space. One prominent example of this concept is Roblox, which is a gaming platform in which people can build their own experiences that are all interconnected through Roblox’ economy (its currency being Robux). Another is Fortnite, which has some of the ingredients already, but hasn’t yet developed a marketplace with low barriers to entry like Roblox has. Despite that, one of the best primers on the topic of the metaverse is the below interview with Tim Sweeney, CEO of Epic Games, which owns Fortnite.

It’s the convergence of various pandemic-accelerated trends (VR / XR, virtual economies, crypto) and the expectations of people in these domains that is currently driving NFT art’s success stories ($750,000 CryptoPunk sale, Panther Modern‘s $666 sale, virtual critters for $100,000 a piece). If you want to know what the future holds, look at what the smartest people in the room are doing, because they’ll be the ones building that future.

12 years after the initial release of Bitcoin and the world’s introduction to blockchain, crypto is starting to emerge as an anticipated layer of connectivity for transactions occurring in the metaverse. With a market cap higher than Facebook at the time of writing, Bitcoin has made many early adopters very rich (as have other cryptocurrencies). Besides figuring out how to build an infrastructure in which they can effectively use their blockchain-riches, we’re seeing this money flow into other spaces, like art (and soon Tesla).

Simplified: to understand some of NFTs’ success, you should look at the crypto space as a metaverse without an interface that looks like a video game. The participants of that space are still players: they’re building their own world, their own infrastructure. They care about what they look like in that world, just like how people in virtual worlds care enough about their looks that they’re willing to buy in-game currencies like Robux (to the sum of billions of USD in 2020). Owning art is cool – it gives you standing in your micro-community which is part of larger meta-communities (e.g. a gaming clan is a community inside the community of one server of a game, which is a community inside the global player-base of that game).

And sure, there’s altruism too, because it’s cool to support art. However counting on altruism tends to spawn panel discussions to compare bottles of water to digital art. Focus on non-altruistic value.

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Smarter Playlists: automate your music discovery, playlist strategy, and library organisation

Smarter Playlists is still the best way to ‘automagically’ create and update playlists on Spotify. The tool, made by Paul Lamere of music data firm The Echo Nest (now Spotify), provides you with countless ways to source music, combine it, filter it, sort it and turn it into playlists.

I hinted at the value of Smarter Playlists / Playlist Machinery when I wrote about playlist strategy in a previous post titled If you want to start a music brand, don’t wait until the pandemic is over. Here’s how to use it.

Music discovery

Not everyone needs a playlist strategy, but everyone reading this is crazy about music and always curious to explore more. Here are some examples of recipes that surface gems.

New Music Friday… but high-energy from around the world

Fridays are when new music is released and Spotify helps surface that new music in numerous ways. It has its the algorithmic Release Radar which lets you listen to tracks from artists you personally follow. It also has New Music Friday playlists for specific territories that are editorial and mostly pop-focused.

I love seeing how trends emerge and are adopted around the world and have a soft spot for high-energy music, so I created a weekly tool to scout new tunes.

A lot happening in this screenshot, so let’s break it down by steps.

Firstly, all of the data streams in from the left and streams out (to a Spotify playlist) on the right. In between, there are various steps which either combine data (e.g. tracks from different playlists), filter, or sort it.

  1. First I added a number of Sources. The Sources are Spotify’s New Music Friday (NMF) playlists from various regions. You copy the playlist URI and add it to the box. I’ve changed the box names to the region it’s sourced from.
  2. Since the international NMFs also tend to feature the world’s biggest pop stars, who I’m already familiar with, I took the global New Music Friday playlist (which has over 3M followers) and connected it to the mixer with a red line. This ‘bans’ all the tracks on the global NMF playlist and essentially filters out the global hits from progressing down the workflow, in case they’re present on any regional playlist.
  3. Since I’m working with 7 input sources, I set the mixer’s max tracks to a few thousand. Otherwise it clips to a low number by default.
  4. It’s Friday – I want energy (tbh, I always want energy). So I took the energy filter and set it to ‘most energy‘. This filters out all tracks that are not energetic.
  5. Next, I’ve sorted the stream by artist popularity and picked ‘reverse’, so that the most popular artist shows up on top of the list. This is counter-intuitive, but it makes sense if you dive into how they rank artist popularity numerically. I do this, because if people visit the playlist and play track 1, it makes it more likely it fits current trends and expectations and people are less likely to move on to another playlist.
  6. But life shouldn’t be too predictable. So I’ve used ‘weighted shuffle‘, which lets you set the degree to which you want the list to be randomized. If you want things to be roughly in order of popularity, you set it to 0.1.
  7. In the above recipe or formula, I save the output to an existing Spotify playlist in my collection. I’ve chosen to overwrite, but you can also select to append. Additionally, you can choose to create a new playlist altogether.
  8. Hit the play button to run your workflow, check if the output makes sense in the Tracks tab and also check your Spotify library for the playlist.

πŸ‘‰ Playlist | Program

I’ve used the scheduler to update it weekly, because I was happy with the result and I imagine I can build a following with the playlist. You can find the scheduler by going to the Program section after saving your playlist recipe.

Scout labels’ playlists for unknown talent

Labels usually have regularly updated playlists which showcase their new releases. If you’re curious about musicians that are less well-known, you can set a filter that removes all tracks by artists that are too ‘popular’ (according to Spotify) for your taste.

The above example features 3 prominent drum & bass labels and is set to append less well-known artists’ tracks to a playlist on a weekly basis. (for the connoisseurs: some of the artists in the playlist are indeed quite legendary, but somehow don’t index high on Spotify’s popularity scoring)

πŸ‘‰ Playlist | Program

Playlist strategy

This toolset is also excellent for simplifying the work that goes into maintaining playlists one might use to build their following. Here are two examples.

Sourcing scene playlists for fresh music

Let’s say you read my recent post and are now building a new music brand. You already have a feeling of what it should sound like and are familiar with popular & less popular playlists in your scene. Your flow might look something like this:

I’ve added red dots to the playlist boxes to make it clearer which is which. In the big group, I have 8 different playlists (Wixapolo, Hardtekk, Lobsta B, Clubland, Pumping, Makina, Hard Dance Interpretations and an old playlist I no longer update) that get randomized and duplicate tracks removed before the mixer picks 50 tracks from them.

I’ve split 3 playlists from that path. For Lento Violento, I want to limit the amount of tracks that may show up, so the mixer on the left is set to a very low number, so only a couple of tracks enter the pool. For the Hyperpop playlist, I only care about the high BPM tracks that may be in there. Lastly, there’s trash rave, which is a big pool of music I add music to regularly. I want this playlist to dominate the flavour of the final playlist, so I’ve seperated it, so I can make sure the mix from the 10 playlists on the left have about a 50/50 ratio to the trash rave playlist.

Artist separation makes sure the same artist doesn’t appear multiple times in a row.

Enjoy some of the goofier bpms of dance music.

πŸ‘‰ Playlist | Program

Turn one big playlist into daily instalments

Let’s say you’ve been collecting loads of music into one big playlist, but you want to turn that into a highly engaging format that people come back to daily. This one is really simple.

For years, I’ve been compiling various types of Club Music into one big playlist – from Jersey Club to Juke to Bmore, you name it. Let’s turn it into a brief playlist that people can come back to daily.

Shuffle the input, so you don’t end up with only the top tracks (update: in this case, the ‘sample’ selector does the same as ‘shuffle β†’ mixer’). Remove duplicate artists, since it updates daily, so keep it varied. That’s it. Don’t forget to set it to update every day via the clock icon in the Programs tab.

If you’re ready to move, give the resulting playlist a listen.

πŸ‘‰ Playlist | Program

Library organisation

Not everyone’s building playlist brands, but you may have a library that could use some organisation.

‘Focus music’ playlist based on what you know

This one was shared by Antoine Marguerie, a designer at Base Secrete.

I’ve rebuilt it and it takes familiar music (less distracting), filters the stream to only include low BPM tracks, removes some duplication, removes any lyric-heavy tracks, and takes a 100 tracks to add to the focused work playlist. A good way to reconnect with music you’ve already discovered.

For me, the result still requires some fine-tuning, because sometimes Spotify gets the BPM wrong and thinks a 160 bpm track is 80 bpm. This may not be an issue for most people, but my music taste makes those false positives quite likely to appear in my library. You could address that with energy and danceability filters.

πŸ‘‰ Program

Cleaning up a playlist with lots of albums

One of Spotify’s strengths is the convenience with which you can build playlists. Just drag and drop albums into a playlist and you’re done. The result is a playlist with albums all grouped together. In case you don’t want that, here’s something you can do.

This takes an unorganized source playlist, puts the most popular tracks towards the top and then shuffles things around with ‘weight’ (meaning you can set how random you want things — less random preserves the rough order of the list). In this formula I sent it to a new playlist, because I wanted to hold on to the source playlist.

πŸ‘‰ Playlist | Program

Your turn

The Smarter Playlists has FAQs and many additional examples. Start playing around and think of how you may put this to use. By automating, you’re programming, since this tool is a lot like a visual programming language. You can drop your programs in the comment section below, or drop them in this Twitter thread. Don’t forget to make backups in case you’re overwriting playlists.

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