Analyzing 17,559 YouTube Sponsorships: Real Estate and Finance Cluster on a Few Channels
Key Takeaways
- · 부동산·건설은 협찬 373건이 29개 채널에 몰려 채널당 12.9건, 상위 5개 채널이 75%를 차지한 가장 집중된 업종입니다.
- · 뷰티는 2,218건이 865개 채널로 분산돼 상위 5개 채널 점유율 4%로, 부동산과 19배 가까이 갈립니다.
- · 협찬 물량 1위 게임(2,557건)은 379개 채널에 흩어져 상위 5개 채널 점유율 25%로, 물량과 집중도는 다른 축입니다.
- · 신뢰가 구매를 좌우하는 부동산·금융은 소수 얼굴에 쏠리고, 도달이 중요한 뷰티·패션은 다수 채널로 분산됩니다.
- · 집중형은 안정적이지만 한 채널 리스크가 업종 전체로 번질 수 있고 신규 진입 장벽이 높습니다.
When you watch real estate or personal-finance YouTube, you get the sense that the same channels always run the ads. In real estate, the top 5 channels take 75% of sponsorships, while in beauty that share is just 4%. Channel concentration — whether an industry's ads cluster on a few channels or scatter across many — diverges this sharply by industry even within the same YouTube sponsorship market.
The impression that the same channels always run the ads holds up in the data
From March 15 to June 14, 2026, Dhesy collected 17,559 category-identified sponsored videos across 2,934 channels over 90 days, averaging 6.0 per channel. But that average hides the differences between industries.
In real estate and construction, 373 sponsorships clustered on just 29 channels, averaging 12.9 per channel, with the top 5 channels holding 75%. Beauty, by contrast, scattered 2,218 sponsorships across 865 channels, averaging 2.6 per channel with a top-5 share of only 4%. By per-channel volume the gap is about 5x; by top-5 channel share it widens to nearly 19x.
Below is a table ranking 15 industries by the same metrics. A higher per-channel average means ads are concentrated on a few channels.
| Industry | Sponsorships | Channels | Per channel | Top-5 channel share |
|---|---|---|---|---|
| Real estate/construction | 373 | 29 | 12.9 | 75% |
| Finance | 1,640 | 140 | 11.7 | 52% |
| Gaming | 2,557 | 379 | 6.7 | 25% |
| Lifestyle | 947 | 245 | 3.9 | 39% |
| Health/medical | 1,334 | 410 | 3.3 | 41% |
| Auto/mobility | 520 | 162 | 3.2 | 30% |
| Tech | 1,444 | 452 | 3.2 | 28% |
| Food/beverage | 1,636 | 549 | 3.0 | 22% |
| Books/publishing | 329 | 112 | 2.9 | 26% |
| Beauty | 2,218 | 865 | 2.6 | 4% |
| Home living | 815 | 338 | 2.4 | 25% |
| Entertainment | 520 | 230 | 2.3 | 18% |
| Fashion | 864 | 368 | 2.3 | 12% |
| Retail/commerce | 1,100 | 504 | 2.2 | 19% |
| SaaS | 418 | 202 | 2.1 | 21% |
| Overall average | 17,559 | 2,934 | 6.0 | — |
It is hard to believe the top two rows and beauty at the bottom belong to the same market. The viewer's sense of 'always the same faces' really happens in top industries like real estate and finance, while in beauty and retail it works almost in reverse.
This pattern is not new. Our April sponsorship market analysis showed total sponsorship volume falling while brand count rose, meaning more advertisers competed over the same videos. Drill into individual industries and the width of channels that competition flows toward differs again.
Real estate and finance cluster ads on a few trust-selling faces
Look at the top channels in concentrated industries and a pattern emerges. In finance, Bootiful led with 242 sponsorships over 90 days, followed by 815 Campus at 165, Hankyung Global Market at 161, and Stock Angle TV at 153. Hanmuncheol TV, which carries driver-insurance and casualty-insurance ads, ranked high with 131.
In real estate and construction, channels covering homes and interiors take the sponsorships: Gaonpa's Healing House at 70, Weekend House at 54, This House That House at 23. To viewers, these are the channels 'you always see when you go looking at finance ads.'
Why the clustering? Because of the nature of the products advertised. Insurance, real estate, and financial products are hard to undo once chosen wrong, and viewers scrutinize the source. As media coverage of shaky financial trust grows, advertisers have more incentive to attach to a verified few. Media reports note that cast members of Hanmuncheol TV's sister content earned casualty-insurance sales licenses, a sign of how deeply insurance and finance ads are entangled with specific trusted channels.
Beauty and fashion broaden reach across hundreds of channels
Beauty is the archetype of the diffuse type. Its 2,218 sponsorships spread across 865 channels, dropping the top-5 share to 4%. Rather than one or two channels representing the market, countless mid-size influencers each take a small slice. Fashion also scatters across 368 channels at 2.3 each, and retail across 504 channels at 2.2 each.
| Type | Representative channels / spread | Sponsorships | Top-5 channel share |
|---|---|---|---|
| Concentrated (real estate) | 29 channels incl. Gaonpa's Healing House | 373 | 75% |
| Concentrated (finance) | 140 channels incl. Bootiful, Hankyung | 1,640 | 52% |
| Diffuse (beauty) | Spread across 865 channels | 2,218 | 4% |
| Diffuse (fashion) | Spread across 368 channels | 864 | 12% |
For the same sponsorship volume, real estate is shared by 29 channels while beauty is shared by 865. Where reach is the point, the breadth of exposure across many channels matters more than the authority of one face.
This shows in brand strategy too. Media coverage of major beauty firms like Aekyung and LG partnering with many influencers to expand reach reflects a structure of using many channels at once rather than one verified face, matching beauty's 4% top-5 share.
업종별 채널당 평균 협업 수 (상위 8개)
* Source: Dhesy
Why gaming, the volume leader, is not concentrated
Here is the trap. The most-sponsored industry is neither real estate nor finance but gaming, with 2,557 over 90 days, far in the lead. Yet gaming's per-channel average is 6.7 and its top-5 share just 25%. Top in volume, middling in concentration.
The reason is simple. Gaming sponsorships scatter across 379 channels. With new titles pouring out and each game seeking a different genre channel, no single channel can monopolize the ads. Gaming shows that high sponsorship count and clustering on a few channels are entirely different axes.
By the same logic, food (1,636) and tech (1,444) are also high in volume but spread across 549 and 452 channels respectively, around 3 per channel. The more sponsorship activity an industry sees, the wider its channel pool tends to be, and concentration falls instead.
What separates the trust type from the reach type
In sum, industries split two ways. Where trust drives purchases, real estate, finance, and insurance cluster ads on a verified few, the trust type. Where breadth of reach matters, beauty, fashion, and retail broaden exposure across many channels, the reach type. What viewers look at before opening their wallets divides channel concentration.
Still, higher concentration does not mean an industry's ads are more effective. Dependence on a few channels cuts both ways. If one channel's image wavers, the trust signal can shake the whole industry, and the entry barrier rises for new creators who have not passed vetting. The trust structure is stable but also one where a single channel's risk easily spreads.
One more note: this concentration is based on each video's primary brand category. When a video carries multiple advertisers, it is counted under the first category, so the real spread may be a bit wider than the table suggests.
What this structure leaves for viewers and creators
Viewers can read 'the same faces' two ways. In concentrated industries like real estate and finance, a channel that appears repeatedly may be a trust signal advertisers vetted, but it also means information is concentrated in one channel's judgment. The narrow room to cross-check the same product on other channels is something viewers should weigh.
Creators can read it in reverse. Beauty, fashion, and retail, with low top-5 shares, are markets where new channels still have room to win ads. Compared with the high-barrier trust type, the reach type leaves open the chance to carve out a place.
The gap is unlikely to narrow much next quarter. Real estate and finance, where trust drives purchases, will likely keep clustering sponsorships on a verified few, while beauty, fashion, and retail, where reach matters, should keep their diffuse structure as new channels keep flowing in.
Frequently asked questions
Q. How do you identify YouTube sponsored ads?
Sponsored videos can be confirmed by 'paid promotion' labels, descriptions, or banners. Dhesy counts only videos with such ad disclosures as sponsorships, totaling 17,559 category-identified sponsorships over the 90-day window.
Q. Can you trust finance and real estate YouTube ads?
Being a concentrated industry, the channels may be advertiser-vetted, but for financial and real estate products it is safer to cross-check rather than rely on one channel. Finance's top 5 channels hold 52% of sponsorships and real estate's hold 75%, so information is concentrated in a few hands.
Q. Why do some industries cluster ads on the same channels?
Because the more trust drives purchases, the more advertisers prefer an already-verified few. Real estate and construction clustered 373 sponsorships on 29 channels, 12.9 per channel, the most concentrated structure.
Q. Which industries have the fewest sponsorships?
Among the 15 industries collected, SaaS at 418 and books/publishing at 329 had the lowest volume. But low volume and clustering on a few channels are separate; SaaS's top-5 share is 21%, closer to the diffuse type.
Methodology: Based on Dhesy's data covering 5,783 brands and 17,559 sponsored videos (category-identified basis). Analysis window: 2026-03-15 to 2026-06-14. Concentration metrics are aggregated by each video's primary brand category.