What Spotify Gets Wrong About Business Music

Spotify is great for personal listening. It's terrible for retail.

Even Spotify for Business. Even its premium offering, Soundtrack Your Brand. Even when you hire a curator to build custom playlists. The fundamental model is broken for what retail actually needs.

This isn't a knock on Spotify. It's a structural limitation that exposes a bigger problem in how most retailers think about background music.

The Consumer Playlist Problem

Start with the obvious: consumer playlists—the ones built by Spotify's editorial team or by algorithm for "workout" or "focus" or "indie vibes"—were never designed for retail. They're designed for individual taste.

That means they optimize for novelty, discovery, and personal emotional resonance. Great for headphones. Terrible for a storefront.

When you play "Discover Weekly" in your store, you're playing music built for someone sitting alone with their feelings, not for a customer walking past a product display. The songs are longer, the emotional arcs are deeper, the transitions are more about surprise than flow.

After 20 plays, your customer has heard every quirky indie deep cut and started noticing the repetition. Then they start noticing the repetition is *weird* for a store. It breaks the spell.

Why Curated "Business" Playlists Miss

Spotify's business offering improves this slightly. Better selection for commercial contexts. Shorter songs sometimes. Better transition thinking.

But it still fundamentally operates under the wrong model: It curates from *existing* music. It doesn't generate for your specific customer.

Here's what that means in practice:

Problem 1: Psychographic Targeting Doesn't Scale

Spotify's curators are smart. But they can't build thousands of distinct playlists for thousands of distinct retail contexts. So they build for categories: "contemporary boutique," "luxury retail," "casual dining."

Your store isn't a category. It's a specific brand with a specific customer and specific values. Spotify's curator playlist for "contemporary boutique" is built for an *average* contemporary boutique. Not for your brand voice.

This means you're still settling. You're playing music that's *close* to your brand rather than *your* brand.

Problem 2: Licensing Cost Scales Badly

Here's what most retailers don't realize: Streaming music for commercial use is surprisingly expensive, and the math gets worse the more you use it.

Spotify for Business charges based on store location and usage. If you have three stores, you're paying licensing fees for three locations. If you build a 50-store chain, those fees become a real line item. And because Spotify charges per location, dynamic music that changes by season, by customer segment, or by store performance gets complicated fast.

You end up paying for scale without the benefits of scale.

Problem 3: No Optimization Loop

When you're curating from existing music, you have no data feedback. You can't know if a song is performing better than another because you're not measuring performance. You set it and forget it. Maybe you swap a playlist every quarter. But that's not optimization—that's negligence.

Retail music should *improve* over time as you learn what works. Standard licensing models don't enable that.

The Catalog vs. Generation Problem

This is the deeper issue: Spotify's model is *catalog-based*. It works by selecting songs from an existing library. It's curation. It's smart curation, but it's still bounded by what exists.

Modern retail needs something different: music *generated* for a specific use case, rather than curated from a catalog.

Generation means building music that fits your exact specifications:

• Exact tempo for your customer pacing
• Exact instrumentation that signals your brand values
• Exact production quality for your price point
• Exact emotional arc for your customer journey
• Seasonal variation, customer-segment variation, performance variation

You can't curate your way to this level of specificity. You can only generate your way there.

Why Generation Beats Curation for Retail

When you generate music instead of curate it, several things change:

Why Should Retailers Switch From Curation to Generation?

To be fair: transitioning from catalog-based to generation-based music is a shift. Most retailers are used to the streaming model. It feels familiar. It feels safe.

But it's also why most retailers settle for mediocre background music. Because the model is optimized for consumer listening, not for commercial strategy.

The question isn't "Should I keep using Spotify?" The question is "What if my music was engineered for my store instead of for an average consumer?" Learn more about how Entuned builds music for your specific customer — and why generation beats curation at every level.

That's the difference between settling and winning.

Related reading: AI-Generated Music for Retail: What's Real and What's Hype, AI vs. Traditional In-Store Music, and Music Was Never Made For Your Store.