Top Brand Affinity
Highest overlapping lifestyle brand
As of 2025-09-28
581,147
Social Media Followers
As of 2025-09-28
00:00:00
Hours Airplay
2025-12-07 10:05:22 UTC
Genres
Biography
にしな commands interest from 18-24 & 25-34 audiences in JAPAN, INDONESIA, TAIWAN. With a heavily male (56%) base, collaborations tied to style, access, or drops tend to land. Tiktok delivers predictable visibility (8,234 avg views per post); Instagram delivers the receipts in replies and shares. Affinity overlap with Paul Smith, Maison Margiela, Olympus points squarely at streetwear, music platforms, and lifestyle products. Expect awareness that shows up in the comments—not just in the reports.
Artist Affinity estimates how strongly an artist's audience overlaps with interest in specific brands, products, and categories. It is derived from aggregated social and behavioral signals—who fans follow, save, click, and engage with—normalized across platforms. Higher affinity suggests better partnership fit and higher likelihood that fans will respond positively to branded content or offers. Use it to shortlist natural brand partners and product concepts that feel authentic to the audience. Combine affinity with Connection Strength (ER) and reach to balance fit with impact. Treat affinity as directional—validate with creative tests and small pilots before scaling.
Audience Demographics & Key Stats
| Metric | Value | Why It Matters |
|---|---|---|
| Social Snapshot |
Followers 581,147 · Engagements 6,182 · Rate 1.1% Posts 2,657 · Views 13,653 · Avg Likes 6,132 · Avg Comments 31 · Avg Views 13,653 |
Combine reach (followers/views) with ER to size both impact and responsiveness. |
| Age Breakdown |
18-24: 57% 25-34: 27% 13-17: 10% 35-44: 5% |
Largest: 18-24 (57%); next: 25-34 (27%) |
| Gender Split |
Female: 44% Male: 56% Non-binary/Other: 0% |
Skews male (56%) |
| Top Countries |
JAPAN (60%) INDONESIA (10%) TAIWAN (8%) UNITED STATES (3%) THAILAND (2%) |
Top regions: JAPAN (60%), INDONESIA (10%), TAIWAN (8%) |
| Platform Engagement | Instagram: 5,266 avg likes/post · Tiktok: 8,234 avg views/post · Youtube: 5,419 avg views/post | Best reach: Tiktok 8,234 avg views; best engagement: Instagram 5,266 avg likes |
Top Brand Affinities
Paul Smith
Maison Margiela
Olympus
Barbour
Marni
Dr. Martens
Atmos
Stüssy
UNIQLO
Vivienne Westwood
Shiseido
Daniel Wellington
| Brand | Category | Score |
|---|---|---|
| Paul Smith | 19.24 | |
| Maison Margiela | 12.44 | |
| Olympus | 9.74 | |
| Barbour | 8.85 | |
| Marni | 8.77 | |
| Dr. Martens | 8.53 | |
| Atmos | 7.72 | |
| Stüssy | 6.63 | |
| UNIQLO | 6.45 | |
| Vivienne Westwood | 6.26 | |
| Shiseido | 6.04 | |
| Daniel Wellington | 5.74 | |
| Gundam | 4.96 | |
| Carhartt | 4.66 | |
| Loewe | 4.59 | |
| New Balance | 4.35 | |
| Shake Shack | 4.05 | |
| Fujifilm | 3.90 | |
| G-shock | 3.82 | |
| The North Face | 3.60 | |
| Snoopy And The Peanuts Gang | 3.54 | |
| Summit Entertainment | 3.52 | |
| Converse | 3.18 | |
| Reebok | 3.13 | |
| Panasonic | 3.06 | |
| Lush | 2.90 | |
| Polo Ralph Lauren | 2.84 | |
| Fila | 2.70 | |
| Kodak | 2.64 | |
| IKEA | 2.57 | |
| Supreme | 2.50 | |
| GAP | 2.31 | |
| GoPro | 2.22 | |
| Sony | 2.14 | |
| Walt Disney | 2.09 | |
| ASICS | 2.00 | |
| Pokemon Go | 1.99 | |
| Levi's | 1.99 | |
| Costco | 1.98 | |
| Yves Saint Laurent | 1.92 | |
| Christian Dior | 1.84 | |
| Vans | 1.76 | |
| Suzuki | 1.66 | |
| Hermès | 1.65 | |
| Pixar | 1.62 | |
| Starbucks | 1.59 | |
| Bershka | 1.58 | |
| Nike | 1.50 | |
| Pokemon | 1.49 | |
| Apple | 1.41 |
Official Profiles
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LoginArtist: にしな
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Top 10 Songs Played Today
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Total Streams (2025-09-28)
Total: 323,889
| PLATFORM | TOTAL | % | |
|---|---|---|---|
| [+] |
Spotify |
323,889 | 100.00% |
| [+] |
Anghami |
0 | 0.00% |
| [+] |
Audiomack |
0 | 0.00% |
| [+] |
Jiosaavn |
0 | 0.00% |
| [+] |
Last.fm |
0 | 0.00% |
| [+] |
Pandora |
0 | 0.00% |
| [+] |
Tidal |
0 | 0.00% |
| [+] |
Yandex |
0 | 0.00% |
| [+] |
YouTube Artist |
0 | 0.00% |
Concerts
Upcoming events from today (UTC) to the next 6 months.
| Date/Time (UTC) | Event | Venue | Location | Tickets |
|---|---|---|---|---|
| 2026-03-30 01:00 UTC | にしな | Ｚｅｐｐ Ｆｕｋｕｏｋａ | Fukuoka, Japan | |
| 2026-04-05 01:00 UTC | にしな | Ｚｅｐｐ Ｎａｍｂａ | Osaka, Japan | |
| 2026-04-06 01:00 UTC | にしな | Zepp Nagoya | Aichi, Japan | |
| 2026-04-13 01:00 UTC | にしな | Zepp Sapporo | Sapporo, Japan | |
| 2026-04-19 01:00 UTC | にしな | Ｚｅｐｐ ＤｉｖｅｒＣｉｔｙ ＴＯＫＹＯ | Koto, Japan |
