Genre Profile
Club music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 79.6%. The genre carries predominantly electronic production (4.0% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 2.4%, while danceability registers at 63.9% — making it highly danceable. The emotional tone is leaning toward introspection and wistfulness, with valence at 33.4%. Speechiness is minimal at 5.7%.
The typical club track moves at a moderate tempo that sits comfortably in walking-pace territory of 112.0 BPM (±23.5). Tonally, D is the most common key (15 of 100 tracks), and 71% of tracks are in a major key — creating an overall sense of brightness and openness.
The genre's sonic identity is shaped by artists like Glee Cast, KLOUD, Arca alongside dj Shawny, One True God. The typical track runs about 3.3 minutes, optimized for streaming attention spans.
Production-wise, club sits at a median loudness of -6.0 dB — loud and compressed, optimized for impact over nuance. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic club sound.
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BPM 100-131: energetic pace Energy 64-84%: energetic, hedonistic Valence 29-49%: energetic, hedonistic, bold, hypnotic Danceability 57-67%: club groove Acousticness 5-25%: heavy bass textures Instrumentalness 18-39%: Focus on heavy bass Speechiness 7-17%: Clean club passages Tempo: energetic to moderate Key preference: D, G#/Ab, warm keys
Create a club track with: • heavy bass foundation (112 BPM) • club music-inspired four-on-the-floor • energetic heavy bass patterns • synth drops vocal hooks • hedonistic production style • dancefloor sound design • Moderate energy (74%), energetic mood (39%) • club arrangement (28%), heavy bass elements (15%) Artists to reference: Glee Cast, KLOUD, Arca, dj Shawny, One True God, Gesaffelstein Duration: 3-4 minutes, perfect for hypnotic listening
{
"genre": "club",
"audio_features": {
"bpm": {"min": 72, "max": 199, "median": 112},
"energy": {"avg": 0.743, "range": "energetic"},
"valence": {"avg": 0.391, "range": "energetic, hedonistic, bold, hypnotic"},
"danceability": {"avg": 0.629, "range": "club groove"},
"acousticness": {"avg": 0.153, "range": "heavy bass/organic"},
"instrumentalness": {"avg": 0.290, "range": "focus on heavy bass"},
"key_preference": ["D", "G#/Ab", "C#/Db"],
"mode_preference": {"major": 71.0, "minor": 29.0}
},
"production_style": {
"instruments": ["heavy bass", "four-on-the-floor", "synth drops", "vocal hooks", "hi-hats"],
"style_tags": ["club", "club music", "dancefloor", "bottle service", "VIP room"],
"mood_descriptors": ["energetic", "hedonistic", "bold", "hypnotic"],
"tempo_category": "energetic_to_moderate"
},
"reference_artists": ["Glee Cast", "KLOUD", "Arca", "dj Shawny", "One True God", "Gesaffelstein", "F.O.O.L", "Hyper"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " hypnotic listening",
"production_focus": "heavy bass foundation"
}
}}
Audio DNA
Key finding: Six audio features define club's fingerprint: Energy leads at 79.6%, while Instrumentalness sits at just 2.4% — a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 71% of club tracks are in a major key, with D the most common. Typical BPM: 112.0 (σ 23.5).
Emotional Fingerprint
Top Artists
Key finding: Glee Cast dominates with 27 tracks in the top 100, followed by KLOUD (7) and Arca (6).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular club track is “Lost in the Fire (feat. The Weeknd)” by Gesaffelstein with a popularity score of 85.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How Club Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 🕺 club 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 — a music analytics platform for AI-era music production.