| # | NAME | FOLLOWERS | ER | COUNTRY | TOPIC OF INFLUENCE | ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ |
|---|---|---|---|---|---|---|---|
| 1 |
Jackson Wang
|
33.3M
|
2.16%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 2 |
Lay Zhang
|
14.1M
|
2.12%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 3 |
鹿 Han
|
12.4M
|
2.31%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 4 |
Zitao.Huang🇨🇳Z.tao
|
10.7M
|
3.25%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 5 |
JUN 文俊辉
|
7.4M
|
8.73%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 6 |
China
|
7.3M
|
3.44%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 7 |
KUN
|
6.9M
|
2.19%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 8 |
Liu Wen 刘雯
|
6.1M
|
0.28%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 9 |
Eddie Yuyan Peng
|
5M
|
0.54%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 10 |
Esther Yu
|
3.9M
|
7.08%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 11 |
Jet Li
|
3.3M
|
4.39%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 12 |
Victoria Song宋茜
|
3.2M
|
1.18%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 13 |
白敬亭
|
3.2M
|
3.6%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 14 |
GOODLIFE
|
3.1M
|
2.87%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 15 |
krystian
|
2.5M
|
2.09%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 16 |
GUEDES10🙏🏻🙌🏻⚽️
|
2.4M
|
2.32%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 17 |
李宇春 CHRIS LEE
|
2.3M
|
0.93%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 18 |
WILLIAM GAO 【 高鑫 】
|
2.2M
|
8.39%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 19 |
Huawei Mobile
|
2M
|
0.06%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 20 |
Asia Gianese
|
2M
|
2.12%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 21 |
Rathavit Kijworalak
|
2M
|
2.64%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 22 |
Ming Xi
|
1.9M
|
0.88%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 23 |
Margaret Zhang 章凝
|
1.9M
|
0.55%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 24 |
Liu Yifei
|
1.8M
|
4.28%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 25 |
Anna Ge 🌷Instagram filters
|
1.7M
|
0.15%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 26 |
许凯
|
1.6M
|
14.2%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 27 |
何穗 sui he
|
1.6M
|
0.48%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 28 |
China Daily 中国日报
|
1.5M
|
0.02%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 29 |
NATIVA
|
1.5M
|
2%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 30 |
五月天 阿信
|
1.4M
|
6.1%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 31 |
隋棠 Sui Tang
|
1.4M
|
1.11%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 32 |
Roy Wang 王源
|
1.3M
|
9.71%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 33 |
ZHOUMI조미周觅
|
1.2M
|
1.2%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 34 |
James Jean
|
1.2M
|
0.54%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 35 |
1.2M
|
1.31%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |||
| 36 |
🥗🥩🌯🍟Raina Huang🍔🍗🍕🥙
|
1.1M
|
0.75%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 37 |
CHIN0
|
1.1M
|
5.25%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 38 |
赵小黎 zhaoxiaoli
|
1.1M
|
6.2%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 39 |
Mengjia
|
1M
|
0.58%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 40 |
Duolikun Saimure
|
1M
|
2.77%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 41 |
Ava Rose Beaune
|
1M
|
4.47%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 42 |
Dongyu Zhou
|
1M
|
1.6%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 43 |
Little Thunder 門小雷
|
1M
|
2.29%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 44 |
SORA
|
1M
|
0.44%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 45 |
⚜️ 𝕴.𝕴.𝕶. ⚜️
|
999.6K
|
0.7%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 46 |
Lelush 利路修
|
989K
|
1.02%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 47 |
China Roces Santos
|
975.8K
|
0.02%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 48 |
yimengling
|
947.7K
|
2.71%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 49 |
Carrie lee 李诗琪
|
943.4K
|
0.03%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 50 |
chunxiao ouyang
|
934.4K
|
0.44%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 51 |
นาย 高卿尘
|
884.9K
|
15.1%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 52 |
wushu/kungfu/martialarts
|
834.6K
|
2.4%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 53 |
李子柒
|
820K
|
3.97%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 54 |
姚子羚 ɛʟǟɨռɛ
|
811.5K
|
0.77%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 55 |
emi wong 王樂婷
|
778.4K
|
1.17%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 56 |
Muhammad Risky
|
775.7K
|
1.39%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 57 |
陈暖央(•͈˽•͈)
|
774K
|
3.35%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 58 |
周仙仙耶
|
773.6K
|
5.83%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 59 |
Chris Lee 李宇春
|
762.8K
|
0.1%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 60 |
Emily Mei 🇨🇳🇺🇸
|
754.7K
|
2.23%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 61 |
Janice Man
|
732.2K
|
2.17%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 62 |
胡兵
|
716.9K
|
0.11%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 63 |
MIKA 米卡
|
703.3K
|
10.66%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 64 |
Weili Zhang 张伟丽
|
693.6K
|
1.1%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 65 |
Jorge corzo
|
689.7K
|
0.21%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 66 |
liyuu
|
628.5K
|
2.31%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 67 |
626.2K
|
2.8%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 68 |
Jon Peng
|
617.9K
|
1.51%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 69 |
ᴀᴋɪᴍ ʙɪʟʟʏ 🌴🇨🇳
|
615.6K
|
0.5%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 70 |
媛媛酱SAYUKI
|
608.6K
|
2.23%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 71 |
Andreina Rojas China👑
|
608.5K
|
0.8%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 72 |
CX Liang
|
605.8K
|
0.22%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 73 |
Anton Chernukha
|
588.9K
|
1.26%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 74 |
Li Bingbing 李冰冰
|
586.1K
|
4%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 75 |
樱群
|
578.2K
|
1.77%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 76 |
Pang Hui Sun 彭珊珊
|
570.8K
|
0.68%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 77 |
Mandy Yu
|
562.5K
|
0.01%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 78 |
林志穎 Jimmy Lin
|
551.1K
|
1.3%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 79 |
ZASK😈 MA$TER*
|
541.8K
|
1.35%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 80 |
Pinchili China 🇨🇳
|
531.9K
|
0.58%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 81 |
Eroko
|
514.4K
|
2.5%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 82 |
513.6K
|
4.07%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |||
| 83 |
chenjie.newtattoo
|
512.2K
|
0.91%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 84 |
Marina Bondarko
|
510.5K
|
3.14%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 85 |
Jasmine Yong香米
|
481.5K
|
5.66%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 86 |
郭俊辰
|
479.7K
|
4.75%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 87 |
🔝 ЧЕСТНЫЕ ОБЗОРЫ ALIEXPRESS,WILDBERIESS
|
477.6K
|
0.48%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 88 |
陆鹫贰黑
|
469.1K
|
5.21%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 89 |
Giada Tong Chen
|
462.4K
|
0.2%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 90 |
Sunshine Shen
|
462K
|
5.15%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 91 |
冬天 Grace PJ Shao
|
461.2K
|
5.24%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 92 |
Pawan Gupta
|
453.1K
|
1.9%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 93 |
Watson Huang
|
451.9K
|
0.07%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 94 |
Alina Robu
|
446.5K
|
1.15%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 95 |
𝓝. 梁云菲
|
440.5K
|
1.19%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 96 |
KnB_bullylife_kel
|
439.6K
|
1.6%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 97 |
Agusttina flores
|
437.4K
|
7.91%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 98 |
Anthony De La Torre
|
430.8K
|
10.48%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 99 |
yurisa
|
427.7K
|
4.21%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 100 |
Zhong Lin
|
425.8K
|
2.79%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ |
China's influencer marketing landscape stands as one of the most vibrant and sophisticated ecosystems in the world. With over 1 billion internet users and a digital economy valued at over $6 trillion, the Chinese market offers unprecedented opportunities for brands looking to expand their reach through influential content creators. Unlike Western markets, China's social media ecosystem operates within its own universe of platforms like WeChat, Douyin, Xiaohongshu (RED), and Weibo, each with unique content formats and audience engagement patterns.
For international brands, navigating this landscape requires understanding not just the platforms, but the cultural nuances that define successful influencer collaborations in China. The terms KOL (Key Opinion Leader) and KOC (Key Opinion Consumer) represent distinct tiers in the influence hierarchy, each playing crucial roles in building brand credibility and driving conversions in this highly competitive market.
Active Social Media Users in China
Influencer Marketing Industry Size
Consumers Trust KOL Recommendations
China's influencer marketing ecosystem differs fundamentally from Western markets in several key aspects. The Chinese digital landscape operates as a closed ecosystem with its own platforms and rules, governed by unique regulatory requirements and cultural expectations.
KOLs (Key Opinion Leaders): These are high-profile influencers with large followings, often celebrities or industry experts. They provide wide reach but at higher costs.
KOCs (Key Opinion Consumers): These are everyday consumers with smaller but highly engaged followings who are perceived as more authentic and trustworthy by their communities.
Xiaohongshu is a lifestyle platform combining social media with e-commerce, particularly popular among young urban women. It's known for authentic product reviews and lifestyle content.
Douyin (Chinese TikTok) dominates short-form video content in China with over 600 million daily active users. It's particularly effective for building brand awareness through entertaining content.
WeChat is China's super-app with over 1.2 billion users, combining messaging, social media, and payment functions. It's ideal for in-depth content and private community building.
Weibo remains a powerful platform for news and trending topics with 573 million monthly active users. It's particularly effective for celebrity endorsements and viral campaigns.
¥500,000+
Followers: 5M+
Celebrities and top-tier influencers with massive national reach
¥100,000 - ¥500,000
Followers: 1M - 5M
Industry experts and established content creators with strong influence
¥20,000 - ¥100,000
Followers: 100K - 1M
Specialized content creators with engaged audiences in specific niches
¥2,000 - ¥20,000
Followers: 10K - 100K
Everyday consumers with authentic voices and highly engaged communities
China has one of the most comprehensive regulatory frameworks for influencer marketing globally. Brands must navigate these regulations carefully to avoid penalties and campaign disruptions.
| Year | Influencer/Brand | Violation | Consequence |
|---|---|---|---|
| 2021 | Viya | Tax evasion | ¥1.34 billion fine and temporary ban |
| 2021 | Multiple beauty brands | False advertising claims via KOLs | ¥7.5 million in combined fines |
| 2022 | Luxury fashion brand | Undisclosed sponsored content | Campaign termination and public warning |
The concept of guanxi (relationships/connections) is fundamental to business in China, including influencer partnerships.
The Chinese calendar includes numerous festivals and significant dates that create powerful marketing opportunities.
Chinese communication patterns differ significantly from Western styles, affecting how content resonates with audiences.
Chinese consumers interact with influencer content differently than Western audiences in several key ways.
Livestreaming has evolved from a content format to a full sales channel, with top KOLs generating billions in sales through interactive shoppable streams.
The Chinese livestream e-commerce market exceeded $300 billion in 2021, representing 12% of total e-commerce sales.
Brands are increasingly shifting budget from celebrity KOLs to networks of micro-influencers (KOCs) who deliver higher engagement and authenticity.
Studies show KOC content generates 8.7× higher engagement rates than celebrity content, with 76% of consumers finding it more trustworthy.
AI-generated virtual KOLs are gaining traction, offering brands consistent messaging without the risks associated with human influencers.
Leading virtual influencer "Ling" has over 3 million followers and has partnered with brands like Alibaba and Tesla.
Brands are working with KOLs to build "private traffic" - owned communities in WeChat groups and other closed platforms that bypass algorithm dependence.
Private traffic channels offer 5-10× higher conversion rates than public platforms, with lower customer acquisition costs.
The industry is shifting from flat-fee structures to performance-based models where KOLs earn based on sales, conversions, or specific engagement metrics.
Nearly 65% of brand-KOL contracts now include performance incentives, up from just 23% in 2018.
International brands are partnering with both Chinese and home-country KOLs to create coordinated global campaigns that resonate locally while maintaining brand consistency.
Over 40% of luxury brands now run synchronized KOL campaigns across multiple markets, including specialized content for Chinese platforms.
China's influencer marketing ecosystem represents both a tremendous opportunity and a unique challenge for brands. Success in this market requires understanding the distinct platform dynamics, regulatory landscape, and cultural nuances that shape how Chinese consumers interact with KOLs and KOCs. While mega-KOLs provide unmatched reach, the rising importance of micro-influencers and KOCs reflects the growing consumer preference for authenticity and trust over celebrity status.
As the market continues to evolve, brands must stay ahead of emerging trends like livestream commerce, virtual influencers, and private traffic channels. The most successful campaigns will be those that thoughtfully adapt global strategies to local contexts, building long-term relationships with influencers who genuinely connect with their target audience. With careful planning, cultural sensitivity, and the right partnerships, influencer marketing in China can deliver exceptional ROI and establish meaningful connections with the world's largest consumer market.
For international brands looking to navigate this complex landscape, partnering with local experts who understand both the technical aspects of Chinese platforms and the cultural nuances of effective communication is essential. As regulations continue to tighten and consumer expectations evolve, an adaptive, compliant, and authentic approach to influencer collaboration will remain the foundation of successful marketing in China.
Ready to navigate China's complex influencer landscape with confidence? StarNgage provides the expertise, technology, and connections you need to build successful influencer campaigns that resonate with Chinese consumers. Our AI-powered platform connects you with the perfect KOLs and KOCs across all major Chinese platforms, while our local expertise ensures your campaigns are culturally relevant and compliant with all regulations.
Don't leave your China market entry to chance. Join thousands of global brands who trust StarNgage to power their influencer marketing success. Sign up today for a personalized strategy session or contact us to learn how we can help you achieve your marketing goals in the world's most dynamic digital marketplace.