Monthly Music Listening Recap for Apple Music
Monthly Music Listening Recap for Apple Music
Many music lovers enjoy tracking their evolving listening habits, but most streaming platforms only offer annual summaries like Spotify Wrapped or Apple Music Replay. This leaves a gap for users who want more frequent insights into their musical preferences. A monthly listening recap feature could help users notice patterns, discover new favorites, and reflect on their listening journey in a more timely way.
How This Could Work
One approach could be integrating a monthly recap section within Apple Music that shows users:
- Their most-played songs each month (top 10-20 tracks)
- Total listening time with comparisons to previous months
- Genre or artist trends (e.g., "15% more jazz this month")
- An option to automatically save monthly playlists
The feature could appear in the "Your Music" section with clean, visual designs that are easy to share. Since Apple already collects play count data, the technical implementation could build on existing infrastructure used for annual summaries.
Benefits and Considerations
For users, this means more opportunities for musical self-discovery throughout the year rather than just one annual snapshot. Artists and labels could benefit from seeing more frequent engagement data about what resonates with listeners.
Potential challenges include:
- Keeping the interface clean by making it opt-in or tucking it under existing sections
- Managing data storage for historical monthly recaps
- Addressing privacy concerns with clear communication and opt-out options
Different Ways to Implement
A simple first version could start with just showing top monthly songs within the app. Later versions could gradually add more features like:
- Auto-generated monthly playlists
- Shareable graphics similar to Spotify Wrapped
- Comparisons showing year-to-date trends
While services like Last.fm offer similar tracking through third-party apps, a native solution could provide more seamless integration with better data accuracy and less setup for users.
Hours To Execute (basic)
Hours to Execute (full)
Estd No of Collaborators
Financial Potential
Impact Breadth
Impact Depth
Impact Positivity
Impact Duration
Uniqueness
Implementability
Plausibility
Replicability
Market Timing
Project Type
Digital Product