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Spotify is giving listeners more direct influence over how their recommendations evolve. The company revealed a new feature that offers deeper control of its suggestion system. It is launching first for Premium users in New Zealand. This new tool builds on earlier experiments with prompt-based playlists. However, the update now reaches further into personal history and allows richer instructions. The move signals a shift toward more user-guided curation, in line with the idea behind Spotify Promoted Playlists.
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The feature remains in beta and will grow as Spotify observes how people use it. Users can now write detailed prompts that stretch beyond quick phrases. These prompts can reference moods, past years, or specific listening patterns. Spotify says the system reads longer instructions more accurately because it draws on broader world knowledge built into the tool. The Spotify promoted playlists then pull from your full listening history rather than just recent behaviour. This makes it feel more personal, since it reflects the whole arc of your taste.
Spotify Promoted Playlists and Deeper Customisation
Listeners can request playlists such as “songs from my most played artists in five years.” They can then adjust the prompt to include “rare tracks I missed.” This level of precision was harder to achieve with earlier tools. The Spotify promoted playlists also refresh according to the user’s schedule. It can update daily, weekly, or at any pace that suits their habits. This flexibility allows people build evolving mixes that track long-term interests. It pushes the idea beyond a simple one-time playlist generation. The approach supports more sustained engagement with personal trends.
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The feature shines in complex scenarios. A runner could request “high-energy pop and hip-hop for a steady 5K pace.” They could also request a gentle cooldown section at the end. Someone else might ask for “music from this year’s top movies that match my taste.” Each prompt can then be refined again and again. This removes the need to hunt through menus for specific moods or eras. Instead, the listener shapes the Spotify promoted playlists through natural instructions. The system responds by adjusting its selections while keeping the user’s taste at the centre.
Growing Interest in Algorithm Control
Spotify adds context notes to help listeners understand why each song appears. This explanation builds trust by showing the reasoning behind the mix. The app also provides sample prompts for those unsure where to begin. Although Spotify promoted playlists take the spotlight, other platforms are moving in similar directions. Instagram recently introduced tools to customise reel suggestions.
Bluesky also allows people to swap its default feed with their own algorithm. These shifts point toward a larger trend. Users want more control over the systems that shape their media. Spotify’s update reflects that demand and extends it into music discovery.
