Genre Profile
Sad music is characterized by moderate energy, balancing movement with space, with a median energy of 39.3%. The genre carries a blend of acoustic and electronic elements (64.0% acousticness). Instrumentalness sits at 0.0%, while danceability registers at 73.2% β making it highly danceable. The emotional tone is emotionally balanced, neither overtly happy nor sad, with valence at 40.3%. Speechiness is minimal at 10.0%.
The typical sad track moves at a moderate tempo that sits comfortably in walking-pace territory of 115.0 BPM (Β±23.2). Tonally, G is the most common key (17 of 100 tracks), and 55% of tracks are in a major key β showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like Shiloh Dynasty, Kina, iamjakehill alongside SnΓΈw, itssvd. The typical track runs about 2.3 minutes, optimized for streaming attention spans.
Production-wise, sad sits at a median loudness of -10.5 dB β relatively quiet compared to mainstream genres, preserving dynamic range. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic sad sound.
Prompt Lab
How to Prompt a Hit
Transform lo-fi hip hop's laid-back groove into AI prompts. These data-driven insights help you craft the perfect chill beats β from Suno's warm analog vibes to Udio's crisp vinyl textures.
BPM 101-133: melancholic pace Energy 32-52%: melancholic, reflective Valence 32-52%: melancholic, reflective, cathartic, lonely Danceability 66-76%: sad groove Acousticness 41-61%: piano textures Instrumentalness 1-21%: Focus on piano Speechiness 16-26%: Clean sad passages Tempo: melancholic to moderate Key preference: G, C#/Db, warm keys
Create a sad track with: β’ piano foundation (114 BPM) β’ melancholic-inspired strings β’ melancholic piano patterns β’ soft guitar ambient pads β’ reflective production style β’ tearjerker sound design β’ Moderate energy (42%), melancholic mood (42%) β’ sad arrangement (11%), piano elements (51%) Artists to reference: Shiloh Dynasty, Kina, iamjakehill, SnΓΈw, itssvd, SadBoyProlific Duration: 3-4 minutes, perfect for lonely listening
{
"genre": "sad",
"audio_features": {
"bpm": {"min": 62, "max": 181, "median": 114},
"energy": {"avg": 0.423, "range": "melancholic"},
"valence": {"avg": 0.425, "range": "melancholic, reflective, cathartic, lonely"},
"danceability": {"avg": 0.719, "range": "sad groove"},
"acousticness": {"avg": 0.517, "range": "piano/organic"},
"instrumentalness": {"avg": 0.116, "range": "focus on piano"},
"key_preference": ["G", "C#/Db", "G#/Ab"],
"mode_preference": {"major": 55.0, "minor": 45.0}
},
"production_style": {
"instruments": ["piano", "strings", "soft guitar", "ambient pads", "vulnerable vocals"],
"style_tags": ["sad", "melancholic", "tearjerker", "heartbreak", "somber"],
"mood_descriptors": ["melancholic", "reflective", "cathartic", "lonely"],
"tempo_category": "melancholic_to_moderate"
},
"reference_artists": ["Shiloh Dynasty", "Kina", "iamjakehill", "Sn\u00f8w", "itssvd", "SadBoyProlific", "Powfu", "347aidan"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " lonely listening",
"production_focus": "piano foundation"
}
}}
Audio DNA
Key finding: Six audio features define sad's fingerprint: Danceability leads at 73.2%, while Instrumentalness sits at just 0.0% β a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 55% of sad tracks are in a major key, with G the most common. Typical BPM: 115.0 (Ο 23.2).
Emotional Fingerprint
Top Artists
Key finding: Shiloh Dynasty dominates with 12 tracks in the top 100, followed by Kina (6) and iamjakehill (6).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular sad track is “death bed (coffee for your head)” by Powfu with a popularity score of 83.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 π’ sad tracks by popularity, supplemented by Gemini AI audio analysis of 30-second preview clips.
Audio features (energy, valence, acousticness, instrumentalness, danceability, speechiness, tempo, key, mode, loudness, duration) are sourced directly from Spotify's audio analysis pipeline. Production insights, mood classifications, and instrumentation details are generated by Gemini AI.
Data was collected and analyzed by kapiko β a music analytics platform for AI-era music production.