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SKD WIRE

EN WIRE · 2026-10-01 06:43

KT uses data from 9 million set-top boxes to optimize TV advertising, doubling ad reach

Mostly True

KT uses data from 9 million set-top boxes to optimize TV advertising, doubling ad reach
Image source: 조사 출처

KT has applied viewing data from approximately 9 million set-top boxes to optimize television advertising, an approach the company says has doubled advertising reach compared with conventional methods.

원문 주장 (KR)
KT, 900만 셋톱박스 데이터로 TV광고 최적화...도달률 2배

Data-driven targeting on IPTV

KT's IPTV set-top boxes generate viewing data across its subscriber base, allowing the telecom operator to analyze audience patterns for advertising purposes. By leveraging this data, the company targets TV commercials to relevant households rather than relying on broad, undifferentiated delivery, according to the company's announcement.

The optimization effort reportedly doubled the reach of TV advertising, meaning commercials delivered through the system reached roughly twice the audience compared with previous approaches.

Privacy and scale considerations

With about 9 million set-top boxes in the field, the program is among the larger data-driven TV advertising initiatives by a Korean telecom operator. The company's claims of improved reach come from its own reported results, and detailed methodology has not been independently confirmed.

KT positions the service as a way to bring more precise, data-oriented targeting to traditional TV advertising, a space long dominated by broader scheduling-based ad sales.

The claim that KT doubled TV advertising reach by optimizing commercials with data from 9 million set-top boxes is largely supported by available sources, though the underlying figures rest primarily on the company's own reporting — on balance, the claim is Mostly True.

Sources — primary documents (9)
  1. https://corp.kt.com/attach/record/2026/2Q26_KT_ER_PT_KOR.pdf
  2. https://zdnet.co.kr/view/?no=20260930155049
  3. https://www.etnews.com/20260930000147
  4. https://www.news1.kr/it-science/cc-newmedia/6305502
  5. https://www.e-science.co.kr/news/articleView.html?idxno=136376
  6. https://www.ebn.co.kr/news/articleView.html?idxno=1724435
  7. https://image.zdnet.co.kr/2026/09/30/eeebdfad109e985540a2d91232ba3718.jpg
  8. https://img.etnews.com/news/article/2026/09/30/news-p.v1.20260930.e6f0132cefae40b38d048512c026f58c_P1.jpg
  9. https://i3n.news1.kr/system/photos/2026/9/30/8133410/high.jpg

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