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Spooky in Love Claims No. 1 Spot on Netflix Korea Following Record Ratings

By Emma Brooks
· · 1 min read Full version →

The fantasy rom-com series Spooky in Love has officially claimed the No. 1 ranking on Netflix Korea, surging in viewership following record-breaking ratings on broadcast television (tvN).

A drama adaptation and complete series overhaul of the hit 2011 film Spellbound (Chilling Romance), the 12-episode show premiered on July 18, 2026, and rapidly captured viewers with its blend of supernatural mystery, crime-solving, and romance.

  • Key Drama Details & Premise
    Main Cast: Park Eun-bin (Extraordinary Attorney Woo), Yang Se-jong (Doona!), and Ong Seong-wu (Strong Girl Nam-soon).
Spooky in Love via Netflix
  • Broadcast / Platform: tvN & Netflix (Global Streaming).
  • Storyline: Follows Cheon Yeo-ri (Park Eun-bin), a hotel CEO and chaebol heiress cursed with the ability to see ghosts- and to transfer that vision to anyone who touches her hand. She crosses paths with Ma Kang-wook (Yang Se-jong), a hot-headed prosecutor investigating unsolved murder cases who happens to be terrified of the paranormal. Together, they form an unlikely alliance to solve ghost-related crimes while navigating a budding romance.
  • New Twist: Unlike the 2011 original film, the drama expands the universe by introducing Kang Min-hwan (Ong Seong-wu), a rival hotel CEO and childhood friend whose true ambitions remain shrouded in mystery.

Ratings Surge & Streaming Impact

After crossing its midpoint at Episode 6, Spooky in Love saw a sharp rise in domestic television viewership ratings, translating directly into high engagement on digital streaming platforms.

The show’s strong word-of-mouth regarding the explosive chemistry between Park Eun-bin and Yang Se-jong propelled it past established competitors to secure the top position on Netflix Korea’s Top 10 TV Shows list.

Kpop Streaming Strategist

Emma Brooks focuses on evaluating K-pop performance through structured data interpretation and platform signals. She examines how releases perform across streaming services and short form platforms, identifying patterns tied to timing and audience response. She produces analysis that prioritizes measurable outcomes over assumptions.

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