DataLouder 數說財經

About DataLouder 數說財經

DataLouder 數說財經 operates a YouTube channel, @datalouder, focusing on financial market analysis. The channel, based in Hong Kong, primarily caters to an audience interested in stock market insights, particularly targeting beginners. With 163 videos published to date, the content aims to make financial data accessible, aligning with its motto, 'Data speak louder than words.' The channel's content strategy includes live broadcasts analyzing market conditions. As of the latest data, DataLouder 數說財經 has accumulated 17,900 subscribers and its videos have collectively garnered 365,491 views. While the primary language is not specified, the channel's name and bio suggest content in Chinese. The channel's engagement with its audience extends to other platforms, with calls to action for viewers to follow its Facebook and Instagram for updates. This multi-platform presence indicates a broader content distribution strategy beyond YouTube.

DataLouder 數說財經's estimated sponsorship rates

The estimated rate for a sponsored video integration on the DataLouder 數說財經 YouTube channel ranges from $127 to $212, with a typical rate around $156. This estimate places DataLouder 數說財經 within the nano-influencer tier, reflecting its current subscriber count of 17,900. Several factors contribute to this rate. The finance niche generally commands a higher CPM (cost per mille) compared to many other content categories, with an anchor CPM of $55 within a band of $45-75. This elevated CPM is due to the high commercial intent and value of an audience interested in financial topics, making them attractive to advertisers in fintech, investment, and related sectors. The rate calculation is based on an estimated 2,828 views per video, derived from a subscriber-fallback model due to the absence of recent average view data. While the channel's Hong Kong base and unspecified primary language might influence specific regional advertising opportunities, the core financial content appeals to a global audience interested in market analysis.

Who should partner with DataLouder 數說財經?

DataLouder 數說財經 primarily engages an audience interested in finance, with a specific focus on stock market analysis for beginners. The channel's content, which includes live market analysis, is particularly relevant to individuals seeking to understand investment strategies and market trends. This demographic is typically attractive to brands in categories such as fintech apps, online brokerages, personal-finance education platforms, and investment advisory services. The channel's geographic base in Hong Kong suggests a potential concentration of viewers from this region, though financial content often transcends geographical boundaries. In the broader finance niche, DataLouder 數說財經 operates alongside peer creators such as 米国株よっちゃんテクニカルチャート分析塾 and 阿东聊美股, both of whom also have 17,900 subscribers. This indicates a competitive landscape within the finance content sphere, where creators cater to similar segments of financially-minded viewers. The call to action for viewers to follow on Facebook and Instagram suggests an audience that is active across multiple social media platforms.

DataLouder 數說財經's growth and performance

DataLouder 數說財經's subscriber growth data currently provides a limited historical view. The channel was first tracked on 2026-05-28, at which point it had 17,900 subscribers. The latest snapshot, also on 2026-05-28, shows the same subscriber count. This indicates a tracking span of one day, with a delta of zero subscribers during this brief period. We do not yet have a comprehensive view of historical subscriber trends or average views over the last 30 days. Future tracking will provide more insight into the channel's growth trajectory and audience engagement patterns over time. The current data reflects a stable subscriber count within the initial tracking window.

How our pricing estimate works for DataLouder 數說財經

The estimated pricing for DataLouder 數說財經's sponsored content is generated through an algorithmic model that considers several key variables. This estimate is derived by multiplying the channel's subscriber count by an industry-specific CPM (cost per mille) for the finance niche, and then applying platform and content format multipliers. The finance niche, for instance, typically commands a higher CPM due to the high commercial value of its audience. For DataLouder 數說財經, the calculation utilizes an estimated 2,828 views per video, which serves as a basis for the pricing model. This view count is a subscriber-fallback estimate, used when recent average view data is not available, and thus carries a low confidence score. The model categorizes DataLouder 數說財經 within the nano-influencer audience tier. A detailed explanation of the specific formulas, multipliers, and data sources used in our algorithmic pricing methodology is available on our dedicated /methodology page.