Genre Profile
Goth music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 86.7%. The genre carries predominantly electronic production (0.3% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.1%, while danceability registers at 44.8% β providing enough groove to move to. The emotional tone is leaning toward introspection and wistfulness, with valence at 31.5%. Speechiness is virtually absent at 4.9%.
The typical goth track moves at a moderate tempo that sits comfortably in walking-pace territory of 120.0 BPM (Β±36.0). Tonally, D is the most common key (18 of 100 tracks), and 54% of tracks are in a minor key β showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like Nightwish, Within Temptation, Amaranthe alongside In Flames, Siouxsie and the Banshees. The typical track runs about 4.0 minutes, hitting a sweet spot for both streaming and deeper listening.
Production-wise, goth sits at a median loudness of -5.9 dB β 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 goth 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 101-150: dark pace Energy 69-89%: dark, romantic Valence 25-45%: dark, romantic, atmospheric, haunting Danceability 40-50%: goth groove Acousticness -2-17%: chorus guitar textures Instrumentalness 1-21%: Focus on chorus guitar Speechiness 6-16%: Clean goth passages Tempo: dark to moderate Key preference: D, C, warm keys
Create a goth track with: β’ chorus guitar foundation (120 BPM) β’ gothic rock-inspired bass β’ dark chorus guitar patterns β’ drum machine synth pads β’ romantic production style β’ darkwave sound design β’ Moderate energy (79%), dark mood (35%) β’ goth arrangement (11%), chorus guitar elements (7%) Artists to reference: Nightwish, Within Temptation, Amaranthe, In Flames, Siouxsie and the Banshees, JosΓ© GonzΓ‘lez Duration: 3-4 minutes, perfect for haunting listening
{
"genre": "goth",
"audio_features": {
"bpm": {"min": 75, "max": 198, "median": 120},
"energy": {"avg": 0.798, "range": "dark"},
"valence": {"avg": 0.352, "range": "dark, romantic, atmospheric, haunting"},
"danceability": {"avg": 0.456, "range": "goth groove"},
"acousticness": {"avg": 0.076, "range": "chorus guitar/organic"},
"instrumentalness": {"avg": 0.113, "range": "focus on chorus guitar"},
"key_preference": ["D", "C", "G"],
"mode_preference": {"major": 46.0, "minor": 54.0}
},
"production_style": {
"instruments": ["chorus guitar", "bass", "drum machine", "synth pads", "deep vocals"],
"style_tags": ["goth", "gothic rock", "darkwave", "deathrock", "ethereal wave"],
"mood_descriptors": ["dark", "romantic", "atmospheric", "haunting"],
"tempo_category": "dark_to_moderate"
},
"reference_artists": ["Nightwish", "Within Temptation", "Amaranthe", "In Flames", "Siouxsie and the Banshees", "Jos\u00e9 Gonz\u00e1lez", "Type O Negative", "HammerFall"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " haunting listening",
"production_focus": "chorus guitar foundation"
}
}}
Audio DNA
Key finding: Six audio features define goth's fingerprint: Energy leads at 86.7%, while Instrumentalness sits at just 0.1% β a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 54% of goth tracks are in a minor key, with D the most common. Typical BPM: 120.0 (Ο 36.0).
Emotional Fingerprint
Top Artists
Key finding: Nightwish dominates with 16 tracks in the top 100, followed by Within Temptation (14) and Amaranthe (10).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular goth track is “Stay Alive” by JosΓ© GonzΓ‘lez with a popularity score of 67.
| # | 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€ goth 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.