If you’re an independent producer, TuneCore has just released an advanced analytics dashboard that will improve your lifeTuneCore has launched an advanced trends and analytics dashboard, “designed to equip artists with deeper insights and performance metrics to accelerate their growth”.
The dashboard is now available globally to all TuneCore artists, letting self-releasing creators track their streaming success, optimise their release strategies, and discover new opportunities for career advancement.

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The dashboard features cross-platform performance tracking, plus exclusive social media analytics from TikTok and Douyin. It also offers real-time engagement metrics and provides daily updates with data on views, shares, saves, likes, comments, creations, and average watch time.
Audience insights with visualised data are also on board, tracking listener engagement by location for more effectively targeted marketing, and an interactive timeline shares performance trends as well as highlighting actions – such as the release of a new track or a social media post – that have driven growth. Artists using the TuneCore Accelerator platform can further track streaming uplift driven by TuneCore Accelerator’s marketing programmes.

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TuneCore CEO Andreea Gleeson comments: “TuneCore is committed to helping independent artists grow, not just by providing distribution solutions, but by giving them the data-driven insights that lead to real, measurable growth, in keeping with [parent company] Believe Group’s core principle of transparency.
“Our new trends and analytics dashboard is the first and only solution of its kind, designed specifically for self-releasing artists to make smarter, more strategic decisions that directly impact their careers. With these unparalleled insights, artists can track their performance, engage their fan base more effectively, and fuel sustainable growth in today’s competitive music landscape.”
Last year, TuneCore launched its own mastering service that uses AI to produce “professional-quality tracks” for artists on a budget, and increase the chances of their songs being played by listeners worldwide. The AI was not trained on any copyrighted material, in line with its “four pillars for responsible AI engagement”: consent, control, compensation, and transparency.
To find out more, head over to TuneCore.
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