LISA’s “Born Again” Achieves Historic Debut with 10.8 Million Views in 24 Hours on YouTube

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LISA, the globally renowned member of BLACKPINK, has once again made waves with the release of her latest music video, “Born Again,” featuring Doja Cat and RAYE.
This collaboration has already cemented itself as a major milestone in the music industry, achieving 10.8 million views and 1.2 million likes in its first 24 hours, making it the biggest debut of any music video on YouTube in 2025.

The music video represents a powerful theme of transformation and self-liberation, as LISA leads the trio across a disco-inspired electro-pop track.

The video’s imagery also draws comparisons to historical female figures, with LISA symbolizing Eve, Doja Cat embodying Joan of Arc, and RAYE representing the Virgin Mary.

Other interpretations suggest LISA as Aphrodite, Doja Cat as Athena, and RAYE as Hera, aligning the women with goddesses of mythology, beauty, wisdom, and marriage.

Lisa, Doja Cat and RAYE (Credit: YouTube)

ot only did “Born Again” dominate YouTube, it also became the #1 trending music video worldwide, further showcasing LISA’s immense influence.

This success builds on her previous accomplishments, such as the record-breaking debut of her solo track “LALISA” in 2021, which held the title of the most-viewed music video by a soloist on YouTube.

The collaboration with Doja Cat and RAYE has already been celebrated as a monumental moment in music, and with such an impactful debut, “Born Again” is poised to reach even greater heights. Congratulations to LISA and her collaborators on this incredible achievement!

Written by Sofia Reed Kpop Metrics Specialist Kpop, News, Coverage, Trends, Fandom, Updates Sofia Reed has 5+ years of experience in digital analytics and holds a degree in Data Science with certification in audience measurement and platform metrics.

Sofia Reed evaluates K-pop performance using structured data analysis and cross platform comparison. She focuses on identifying growth patterns, engagement shifts, and performance consistency across release cycles. Her work connects numerical indicators with distribution strategy to explain outcomes. She emphasizes repeatable insights supported by verified data sources.

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