This project applies advanced SQL analytics to Spotify performance data to evaluate artist dominance, track engagement, platform preference, content efficiency, and audio-feature dynamics.
The work focuses on generating decision-grade metrics for content strategy teams, label partners, marketing divisions, and platform growth managers.
Rather than surface-level exploration, the analysis emphasizes comparative performance, behavioral signals, and portfolio optimization.
Music streaming platforms compete on:
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Artist acquisition and retention
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Platform-specific engagement patterns
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Video vs audio consumption behavior
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Catalog performance concentration
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Audio feature trends that influence virality
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Marketing ROI allocation
This project converts track-level telemetry into strategic insight for monetization, licensing, promotion, and product placement decisions.
The dataset contains artist metadata, album information, musical attributes, audience engagement signals, licensing status, video indicators, streaming counts, platform distribution, and derived metrics such as energy-liveness ratios.
SELECT
track
FROM spotify
WHERE
stream > 1000000000;Business Impact
Identifies elite catalog assets that drive sustained revenue and long-term licensing value.
Decisions Enabled
• Prioritize premium licensing negotiations
• Allocate marketing budget to evergreen hits
• Develop anniversary campaigns or remastered releases
SELECT
DISTINCT album,
artist
FROM spotify
ORDER BY 1;Business Impact
Supports catalog ownership audits and portfolio segmentation by artist.
Decisions Enabled
• Identify concentration risk
• Guide acquisition diversification
• Support royalty reconciliation
SELECT
COUNT(Comments)
FROM spotify
WHERE
licensed = 'TRUE';Business Impact
Measures engagement intensity on licensed content.
Decisions Enabled
• Validate licensing ROI
• Inform renegotiation strategies
• Prioritize partnership extensions
SELECT
track
FROM spotify
WHERE
Album_type = 'single';Business Impact
Isolates single-driven growth strategies.
Decisions Enabled
• Optimize single-first release cycles
• Evaluate teaser-track marketing tactics
SELECT
album,
AVG(danceability)
FROM spotify
GROUP BY 1
ORDER by 2 DESC;Business Impact
Connects musical attributes to audience appeal.
Decisions Enabled
• Inform playlist curation logic
• Support audio-feature-based recommendations
• Guide production decisions
SELECT
track,
SUM(views) AS Total_views,
SUM(likes) AS Total_likes
FROM spotify
WHERE official_video = 'TRUE'
GROUP BY 1
ORDER BY 2 DESC;Business Impact
Measures cross-media amplification through video.
Decisions Enabled
• Invest in video production
• Promote audiovisual releases
• Prioritize YouTube-Spotify synergy
SELECT * FROM
(SELECT
track,
COALESCE(SUM(CASE WHEN most_playedon = 'Spotify' THEN stream END),0) AS streamed_on_spotify,
COALESCE(SUM(CASE WHEN most_playedon = 'Youtube' THEN stream END),0) AS streamed_on_youtube
FROM spotify
GROUP BY 1
) AS T1
WHERE
streamed_on_spotify > streamed_on_youtube
AND
streamed_on_youtube <> 0;Business Impact
Identifies platform-specific audience preference.
Decisions Enabled
• Customize marketing channels
• Allocate ad spend by platform
• Optimize release timing
SELECT
track,
artist,
liveness
FROM spotify
WHERE liveness > (SELECT AVG(liveness) FROM spotify);Business Impact
Signals strong live-performance energy correlated with audience response.
Decisions Enabled
• Prioritize concert tours
• Push live versions
• Festival programming
SELECT
track,
views,
likes,
SUM(likes) OVER (
ORDER BY views
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS cumulative_likes
FROM spotify
ORDER BY 2 DESC;Business Impact
Evaluates engagement concentration across the catalog.
Decisions Enabled
• Identify dependency on blockbuster hits
• Diversify promotion
• Manage risk exposure
• Identifies high-ROI artists and tracks
• Supports platform-specific growth strategies
• Guides video investment decisions
• Strengthens licensing negotiations
• Improves marketing allocation
• Enables catalog portfolio optimization
