自重トレチャンネル

About 自重トレチャンネル

自重トレチャンネル (@akito) is a YouTube creator based in Japan, primarily focused on fitness content. The channel operates in Japanese and has accumulated 45,400 subscribers. Since its inception, the channel has published 6 videos, which collectively have generated 54,621,790 total views. The content centers on self-weight training, a sub-discipline within the broader fitness category. This niche often appeals to individuals seeking to improve physical conditioning without specialized gym equipment, emphasizing bodyweight exercises. The channel's content strategy appears to prioritize detailed demonstrations and instructional guidance for at-home workouts. While specific biographical details for the creator are not available, the channel's output suggests a focus on practical, accessible fitness routines.

自重トレチャンネル's estimated sponsorship rates

The estimated rate for an integrated video on 自重トレチャンネル ranges from $143 to $358, with a typical rate around $238. This estimate places the channel in the low audience tier. Several factors influence this pricing, including the channel's subscriber count of 45,400, its primary focus on the fitness niche, and the platform being YouTube. The fitness category generally exhibits a moderate CPM (cost per mille) due to its broad appeal and relevance to health-conscious consumers. The channel's geographic location in Japan and its primary language being Japanese also play a role, as regional advertising markets can differ in value. Compared to peers like あんちゃんねる /RETIO BODY DESIGN (44,000 subs) or Anita Herbert | Online Fitness Coach (38,300 subs), 自重トレチャンネル's subscriber count is competitive within its tier, suggesting a similar rate structure. The relatively low number of videos published (6) but high total views (54,621,790) indicates that the existing content has achieved significant reach, which can contribute to its value proposition for advertisers.

Who should partner with 自重トレチャンネル?

自重トレチャンネル's audience consists primarily of individuals interested in fitness, specifically self-weight training, within Japan. With 45,400 subscribers, the channel attracts viewers seeking practical, accessible workout routines that can be performed without gym equipment. This demographic is likely interested in health and wellness products, athletic apparel, home fitness equipment, and nutritional supplements. Specific brand categories that might find this audience valuable include sports apparel manufacturers, health food brands, fitness app developers, and companies offering at-home workout accessories. The channel's content in Japanese suggests a strong connection with the Japanese consumer market. Compared to other fitness creators like Fitness Coach Madhuri (56,400 subs) or Sofía Rojas Ejercicios (57,200 subs), 自重トレチャンネル operates in a similar niche but with a distinct regional and linguistic focus. The high total view count across a limited number of videos indicates a highly engaged viewership for the specific content provided, suggesting that the audience is actively seeking and consuming self-weight training instruction.

自重トレチャンネル's growth and performance

自重トレチャンネル's subscriber growth history currently shows a limited data span. The channel was first tracked on 2026-05-12 with 45,400 subscribers. The latest snapshot, also on 2026-05-12, recorded the same subscriber count. This represents a 1-day tracking period with a delta of +0 subscribers. We do not yet have historical data to analyze long-term subscriber trends or significant growth spurts. Information regarding average views over the last 30 days is also not available at this time. Future tracking will provide more comprehensive data on subscriber acquisition rates and overall channel expansion.

How our pricing estimate works for 自重トレチャンネル

The estimated pricing for 自重トレチャンネル is generated through an algorithmic model that considers various data points. This estimate is derived by multiplying the channel's subscriber count by an average CPM (cost per mille) relevant to its primary niche, fitness. Further adjustments are applied through platform-specific and content format multipliers. Currently, this estimate is based on a metric_estimate with 0 community data points for calibration, indicating that it relies solely on our internal model without external creator-provided data. The audience tier classification (low) is also an output of this algorithm. For a detailed breakdown of the calculation process, including the specific formulas and factors involved, please refer to our comprehensive methodology page at /methodology.