高配当株データ分析チャンネル

About 高配当株データ分析チャンネル

高配当株データ分析チャンネル (@stock-data-analysis) is a Japanese-language YouTube channel dedicated to the quantitative analysis of high-dividend stocks. Operated by a 40-year-old corporate employee and father of two, the channel focuses on providing data-driven insights for retail investors aiming for financial independence. The creator utilizes a background in data analysis to dissect specific market tickers, offering viewers a structured look at financial performance rather than speculative commentary. Content is primarily delivered through deep-dive video reports, supplemented by a membership program that provides subscribers with 'Daily Stock Notes' in PDF format and original investment analysis slides. With 149 videos published to date, the channel has accumulated a total of 2,228,606 views. The creator’s approach is rooted in personal experience with side hustles, including blogging and diversified investment strategies such as mutual funds and Japanese high-dividend equities. This intersection of personal finance journey and technical stock evaluation defines the channel's editorial direction, positioning it as a resource for investors seeking empirical evidence to support their portfolio decisions. The channel maintains a consistent cadence of technical content, catering to a niche audience interested in the mechanics of dividend growth and corporate financial health within the Japanese market.

高配当株データ分析チャンネル's estimated sponsorship rates

The estimated market rate for a sponsored video integration on the 高配当株データ分析チャンネル ranges from $572 to $954, with a typical valuation of $699. These figures are derived from an algorithmic assessment of the channel’s performance metrics, specifically leveraging a niche CPM band of $45 to $75, anchored at $55. The valuation is heavily influenced by the creator's focus on the finance sector, a category that consistently commands higher advertising premiums due to the high lifetime value of the audience and the direct relevance to financial services and investment products. Several factors drive this pricing structure relative to peers. First, the channel’s engagement is tied to a specific, high-intent audience segment—individual investors—which increases the value of each view compared to general-interest content. Second, the format of the content, which involves detailed data analysis and PDF-based supplementary materials, suggests a high level of viewer trust and retention. While the channel currently sits in the nano-influencer tier with 17,700 subscribers, the specificity of the content allows for a premium CPM. The rate reflects the cost-per-mille (CPM) efficiency of reaching a targeted demographic interested in high-dividend stocks, rather than a broad reach. For a detailed breakdown of the variables used to calculate these figures, please refer to our /methodology page.

Who should partner with 高配当株データ分析チャンネル?

The audience for 高配当株データ分析チャンネル is primarily composed of Japanese retail investors, specifically those interested in dividend-focused wealth accumulation and long-term asset management. The demographic consists of individuals who prioritize quantitative data over market sentiment, likely including corporate employees and individuals seeking secondary income streams through investment. Given the channel's focus on high-dividend stocks and personal finance, the audience is highly receptive to brand categories such as online brokerages, fintech applications, personal-finance education platforms, and tax-efficient investment account services (e.g., NISA-related products). The channel shares a similar subscriber scale with international peers in the finance niche, such as Informe Bolsa, ĐẦU TƯ CHỨNG KHOÁN CÙNG QT STOCKS, and IPO投資ナビ, all of which maintain a comparable subscriber count of approximately 17,600 to 17,700. This suggests that the creator is operating within a global cohort of finance-focused micro-influencers who provide specialized market commentary. The audience’s engagement is further evidenced by the membership program, which indicates a segment of viewers willing to pay for premium analytical content, such as daily stock summaries and slide decks. This behavior identifies the audience as 'high-intent,' making them a valuable demographic for financial institutions looking to acquire users who are already actively managing their investment portfolios.

高配当株データ分析チャンネル's growth and performance

高配当株データ分析チャンネル has demonstrated significant momentum since its inception on August 3, 2025. The channel reached its first 1,000 subscribers in 78 days, followed by a rapid acceleration in growth. Between October 2025 and January 2026, the channel achieved a consistent acquisition rate, often gaining 1,000 subscribers in intervals ranging from 6 to 11 days. By January 29, 2026, the channel surpassed the 10,000-subscriber milestone. Recent tracking data confirms a continued upward trajectory. Between July 20, 2026, and September 21, 2026, the channel grew from 16,100 to 17,700 subscribers. This represents a net increase of 1,600 subscribers over a 63-day period. While we do not yet have a comprehensive 30-day average view-count history, the consistent subscriber growth rate indicates a stable and expanding base of recurring viewers interested in the creator's specific style of financial data analysis.

How our pricing estimate works for 高配当株データ分析チャンネル

The valuation and performance metrics provided for 高配当株データ分析チャンネル are generated through a proprietary algorithmic model. This model calculates the estimated sponsorship value by multiplying the channel's average view count (12,715 views) by the applicable niche CPM (Cost Per Mille) band for the finance category. The CPM is adjusted based on historical platform data, audience engagement indicators, and the specific format of the content provided. Our methodology accounts for the higher advertising premiums typically associated with financial content, which attracts high-value brand partnerships. We utilize a confidence-weighted approach to ensure that the estimates reflect the current market value of the creator's reach within their specific niche. For a complete explanation of the variables, including how we determine CPM bands and audience tier classifications, please refer to our /methodology page.