Tablo
Top Brand Affinity
Highest overlapping lifestyle brand
As of 2025-09-09
3,202,898
Social Media Followers
As of 2025-09-09
00:00:00
Hours Airplay
2025-12-07 11:04:47 UTC
Genres
Biography
While the music industry is constantly evolving, the power of a well-crafted song remains a universal language that transcends time and trends. From stadium rock anthems to intimate acoustic ballads, the diversity of musical expression reflects the rich tapestry of human experience. Whether through the catchy hooks of a pop hit or the poignant lyrics of a soulful ballad, music has the unique ability to evoke emotions, spark memories, and unite people from all walks of life.
Tablo converts attention from 18-24 & 25-34 audiences across SOUTH KOREA, CHINA, INDONESIA. Audience shape is heavily female (77%), opening clear lanes for styling, voice, and offers. Topline results concentrate on Instagram at 9,842 avg likes per post, with supportive conversation on Instagram. Shared audience with THEFACESHOP, GENTLE MONSTER, Style Nanda underscores a strong fit in streetwear, music platforms, and lifestyle products. It’s a practical path to awareness that doesn’t fight the feed.
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 3,202,898 · Engagements 9,842 · Rate 0.3% Posts 3,938 · Views 0 · Avg Likes 9,842 · Avg Comments 106 · Avg Views 0 |
Combine reach (followers/views) with ER to size both impact and responsiveness. |
| Age Breakdown |
18-24: 45% 25-34: 40% 13-17: 9% 35-44: 5% |
Largest: 18-24 (45%); next: 25-34 (40%) |
| Gender Split |
Female: 77% Male: 23% Non-binary/Other: 0% |
Skews female (77%) |
| Top Countries |
SOUTH KOREA (21%) CHINA (10%) INDONESIA (10%) UNITED STATES (8%) PHILIPPINES (6%) |
Top regions: SOUTH KOREA (21%), CHINA (10%), INDONESIA (10%) |
| Platform Engagement | Instagram: 9,842 avg likes/post | best engagement: Instagram 9,842 avg likes |
Top Brand Affinities
THEFACESHOP
GENTLE MONSTER
Style Nanda
Innisfree
Shake Shack
Summit Entertainment
Jollibee
Snoopy And The Peanuts Gang
Tiffany
KFC
Leica
Hyundai
| Brand | Category | Score |
|---|---|---|
| THEFACESHOP | 19.34 | |
| GENTLE MONSTER | 14.65 | |
| Style Nanda | 12.27 | |
| Innisfree | 8.33 | |
| Shake Shack | 6.14 | |
| Summit Entertainment | 5.52 | |
| Jollibee | 4.43 | |
| Snoopy And The Peanuts Gang | 3.56 | |
| Tiffany | 3.30 | |
| KFC | 3.22 | |
| Leica | 3.18 | |
| Hyundai | 2.88 | |
| Stüssy | 2.81 | |
| Petronas | 2.67 | |
| Gundam | 2.66 | |
| Dr. Martens | 2.64 | |
| Fila | 2.52 | |
| UNIQLO | 2.46 | |
| Lush | 2.27 | |
| Sprite | 2.22 | |
| IKEA | 2.04 | |
| Lollapalooza | 2.02 | |
| Coachella | 1.94 | |
| Tiffany & Co | 1.93 | |
| Starbucks | 1.90 | |
| KitKat | 1.85 | |
| Polaroid | 1.73 | |
| Fujifilm | 1.65 | |
| McDonald's | 1.65 | |
| Showtime | 1.63 | |
| Forever 21 | 1.57 | |
| Tarte Cosmetics | 1.53 | |
| The North Face | 1.53 | |
| Converse | 1.51 | |
| Bellagio | 1.47 | |
| Puma | 1.47 | |
| Costco | 1.45 | |
| Christian Dior | 1.37 | |
| Airbnb | 1.37 | |
| Sephora | 1.37 | |
| Lego | 1.35 | |
| New Balance | 1.33 | |
| H&M | 1.33 | |
| Pokemon Go | 1.31 | |
| Supreme | 1.28 | |
| Guess | 1.28 | |
| Pokemon | 1.25 | |
| Pixar | 1.24 | |
| Vans | 1.22 | |
| Polo Ralph Lauren | 1.21 |
Official Profiles
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LoginArtist: Tablo
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Top 10 Songs Played Today
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Total Streams
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Concerts
Upcoming events from today (UTC) to the next 6 months.
| Date/Time (UTC) | Event | Venue | Location | Tickets |
|---|---|---|---|---|
| No upcoming concerts found. | ||||















