Demand is a forecast.
Shelves are a fact.
kbeautytmi is the retail migration radar for Korean skincare — an independent data media that snapshots retail rankings every week, from Olive Young in Seoul to Sephora, Ulta, Amazon and TikTok Shop in the US, and archives them permanently. Rankings can't be reconstructed after the fact, so this history exists nowhere else. We don't predict what people might want; we witness what shelves actually did — and publish the receipts.
What TMI stands for
Yes, it's "too much information" — we know more about K-beauty charts than anyone should. It's also our backronym: Trends · Migrations · Index. Both readings are accurate.
What we publish
How we work
Every metric we use is defined in public — formula, sources, and limitations included. Every claim links to the archived week it came from. We collect facts only (rank, product, brand, rating, price) from public pages and APIs, at low frequency, respecting robots.txt. When a number surprises us, we assume a parser bug before we assume a story. Forecasts are labeled by confidence and we publish our misses along with our hits.
Who we are
kbeautytmi is an independent K-beauty data desk based in Orange County, CA 92614. We are not owned by, sponsored by, or affiliated with any beauty brand or retailer we cover. Charts don't care who makes the product — neither do we. Contact: [email protected] · Instagram/TikTok/X @kbeautytmi
Cite us
Freely, with attribution: "[value] — kbeautytmi [Metric Name], [week]". Full guide on /methodology; AI-use terms in llms.txt. This week's receipt: 2026-W46 archive.