澳财ALLFIN

About 澳财ALLFIN

澳财ALLFIN operates as a prominent Chinese-language investment research platform based in Australia, primarily targeting global Chinese investors. The channel, @boman_allfin on YouTube, disseminates financial news, analysis, and commentary, focusing on in-depth investment research. It is managed by Boman Group, with content supported by an analytical team possessing extensive experience in venture capital, private equity, wealth management, and investment trusts. The channel has published 1,404 videos, accumulating a total of 5,386,584 views. With 42,100 subscribers,澳财ALLFIN positions itself as a resource for timely and accurate financial information, particularly relevant to the Australian and global financial markets. The content aims to provide valuable insights for investment decisions, reflecting the expertise of its operational team in the finance sector.

澳财ALLFIN's estimated sponsorship rates

The estimated rate for an integrated video on the 澳财ALLFIN YouTube channel ranges from $265 to $663, with a typical rate around $442. This estimate is algorithmically derived, considering factors such as the channel's subscriber count, its primary niche in finance, and platform-specific multipliers for YouTube video integrations. The finance category generally commands a higher CPM (cost per mille) compared to broader content categories due to its specialized audience and the high value of financial services and products. While 澳财ALLFIN's subscriber count of 42,100 places it in the 'low' audience tier, its specific focus on financial analysis for a Chinese-speaking audience in Australia and globally contributes to its rate. The channel's extensive content library, with over 1,400 videos, suggests consistent content production, which can also influence brand perception and potential collaboration value. For a detailed breakdown of the pricing methodology, including how subscriber count, niche, and platform influence these estimates, please refer to our /methodology page.

Who should partner with 澳财ALLFIN?

澳财ALLFIN's audience primarily consists of Chinese-speaking investors globally, with a specific emphasis on those interested in Australian and international financial markets. The content is delivered in zh-CN, indicating a targeted demographic that seeks financial news, analysis, and investment commentary in their native language. Given its focus on investment research and wealth management, the audience is likely composed of individuals interested in fintech apps, online brokerages, personal-finance education platforms, and investment advisory services. Brands operating in these sectors, particularly those targeting high-net-worth individuals or those seeking to grow their investment portfolios, would find this audience relevant. The channel's positioning as Australia's first Chinese-language investment research platform suggests a unique value proposition for brands looking to reach this specific, often underserved, demographic. In terms of audience size, 澳财ALLFIN is comparable to other finance creators such as Catarina Machado (@literaciafinanceirabycatarina) and Omkara Pathshala (@omkarapathshala), both of whom also have approximately 42,100-42,200 subscribers.

澳财ALLFIN's growth and performance

InfluencerUnion began tracking 澳财ALLFIN on May 19, 2026, when the channel had 42,100 subscribers. As of the latest snapshot, also on May 19, 2026, the subscriber count remains at 42,100. This represents a 0-subscriber change over a one-day tracking period. We do not yet have historical data spanning a longer period to assess subscriber growth trends or average view counts over the last 30 days. Future tracking will provide a more comprehensive view of the channel's audience expansion and engagement metrics.

How our pricing estimate works for 澳财ALLFIN

The estimated pricing for 澳财ALLFIN is generated through an algorithmic model that considers several key data points. This includes the channel's subscriber count, its primary content category (finance), and platform-specific multipliers for YouTube video integrations. The model also accounts for the typical CPM rates associated with the finance niche, which can vary based on audience demographics and content specialization. It is important to note that this estimate is based on a metric-driven approach and is calibrated without community data points at this time. The 'low' audience tier classification is determined by the channel's subscriber count in relation to the broader creator landscape. For a comprehensive explanation of the formulas, data inputs, and calibration processes used to arrive at these estimates, please refer to our detailed methodology page at /methodology.