Top 100 Kids' Fashion TikTok products (2026)

Dataset date: 2026-10-01

Compare 100 Kids' Fashion TikTok products in this dataset, ranked by 7-day orders.

First in this ranking: Tong Beiduo กางเกงยีนส์เด็กผู้หญิงขาสั้น กางเกงยีนส์เด็กผู้หญิงเท่ๆ รุ่นใหม่ เอวยางยืด สไตล์เกาหลี แฟชั่นเด็กโต ใส่สบาย เทรนด์เกาหลี ไซส์120-170. Price: ฿149.6. 7-day orders: 21.00K. Total units sold: 21.00K.

Continue your research with FindNiche TikTok product research to compare more candidates.

Data coverage and reporting period

This ranking contains 100 products from the available dataset; it is not a count of all sellers or products in this market.

Total GMV is available for 76 of 100 products.

7-day metrics use the reporting window supplied by the source. Exact start and end dates are not provided.

Not available means the source has no value; it does not mean zero.

TikTok product ranking

Top 100 Kids' Fashion TikTok products (2026)
RankProductPriceTotal Sales7-day SalesGMV
1฿149.621.00K21.00KNot available
2₫82921.018.27K18.27KNot available
3₫19467.016.40K16.40KNot available
4₫154000.021.48K14.07K₫3.31B
5₱178.013.11K13.11KNot available
6₫97829.012.76K12.76KNot available
7RM0.99525.95K12.49KRM520.69K
8₫40573.012.36K12.36K₫501.36M
9₫124677.012.15K12.15KNot available
10₫162480.011.64K11.64KNot available

Ranking methodology

How should you use this TikTok ranking?

This ranking orders the available TikTok dataset by the metric named on the page. Use it to discover candidates and make side-by-side comparisons.

How is the ranking produced?

Results use the selected sales, revenue, engagement, or other available metric and apply only to the captured dataset.

Does the ranking predict winners?

No. Historical or captured performance does not guarantee future demand, profit, or advertising results.

How should it inform a decision?

Validate multiple candidates against price, supply, shipping, competition, and advertising costs before running a small test.

Verification sources: TikTok official website

Maintained by the FindNiche Data Team