Genre Profile
Blues music is characterized by solid energy that keeps listeners engaged without overwhelming, with a median energy of 66.8%. The genre carries predominantly electronic production (20.3% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.0%, while danceability registers at 55.0% — providing enough groove to move to. The emotional tone is generally upbeat and positive in tone, with valence at 53.4%. Speechiness is virtually absent at 4.3%.
The typical blues track moves at a moderate tempo that sits comfortably in walking-pace territory of 120.3 BPM (±28.8). Tonally, D is the most common key (19 of 100 tracks), and 74% 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 Cage The Elephant, Jimi Hendrix, ZZ Top alongside Lynyrd Skynyrd, The Who. The typical track runs about 3.7 minutes, optimized for streaming attention spans.
Production-wise, blues sits at a median loudness of -8.0 dB — moderately loud, balancing dynamics with presence. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic blues sound.
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BPM 104-143: soulful pace Energy 54-74%: soulful, gritty Valence 46-66%: soulful, gritty, expressive, melancholic Danceability 47-57%: blues groove Acousticness 17-37%: electric guitar textures Instrumentalness -5-14%: Focus on electric guitar Speechiness 5-15%: Clean blues passages Tempo: soulful to moderate Key preference: D, C, warm keys
Create a blues track with: • electric guitar foundation (120 BPM) • delta blues-inspired harmonica • soulful electric guitar patterns • bass guitar organ • gritty production style • Chicago blues sound design • Moderate energy (64%), soulful mood (56%) • blues arrangement (4%), electric guitar elements (27%) Artists to reference: Cage The Elephant, Jimi Hendrix, ZZ Top, Lynyrd Skynyrd, The Who, Etta James Duration: 3-4 minutes, perfect for melancholic listening
{
"genre": "blues",
"audio_features": {
"bpm": {"min": 70, "max": 179, "median": 120},
"energy": {"avg": 0.640, "range": "soulful"},
"valence": {"avg": 0.564, "range": "soulful, gritty, expressive, melancholic"},
"danceability": {"avg": 0.521, "range": "blues groove"},
"acousticness": {"avg": 0.279, "range": "electric guitar/organic"},
"instrumentalness": {"avg": 0.043, "range": "focus on electric guitar"},
"key_preference": ["D", "C", "A"],
"mode_preference": {"major": 74.0, "minor": 26.0}
},
"production_style": {
"instruments": ["electric guitar", "harmonica", "bass guitar", "organ", "slide guitar"],
"style_tags": ["blues", "delta blues", "Chicago blues", "blues rock", "electric blues"],
"mood_descriptors": ["soulful", "gritty", "expressive", "melancholic"],
"tempo_category": "soulful_to_moderate"
},
"reference_artists": ["Cage The Elephant", "Jimi Hendrix", "ZZ Top", "Lynyrd Skynyrd", "The Who", "Etta James", "Leon Bridges", "The Black Keys"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " melancholic listening",
"production_focus": "electric guitar foundation"
}
}}
Audio DNA
Key finding: Six audio features define blues's fingerprint: Energy leads at 66.8%, while Instrumentalness sits at just 0.0% — with almost no instrumentalness to speak of.
Rhythm & Tonality
Key finding: 74% of blues tracks are in a major key, with D the most common. Typical BPM: 120.3 (σ 28.8).
Emotional Fingerprint
Top Artists
Key finding: Cage The Elephant dominates with 5 tracks in the top 100, followed by Jimi Hendrix (5) and ZZ Top (4).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular blues track is “Seven Nation Army” by The White Stripes with a popularity score of 84.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How Blues Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 🎺 blues 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.