金融汪
YouTubefinanceUS

金融汪

@shijiejinrongwang

关于经济金融,投资与未来的一切,欢迎关注: https://www.youtube.com/@金融汪

12.9K

Subscribers

363.9K

Total views

125

Videos

Avg views (recent)

not yet captured

Estimated rate · Integrated video

Subs-based fallback · Low confidence

Low

$92

Typical

$112

High

$153

Niche CPM
$45–75anchor $55
Avg views
2,038tier-based estimate
Format mult
1.00×
Exclusivity
No exclusivitybaseline

Estimated · benchmark only · not claimed by creator. View count not yet captured — tier-based fallback (low confidence). How this works →

Influence profile

Display only · not a price input
Size tier
Nano (10K–50K)
Activity
Activity unknownavg views not yet captured
Niche
Finance
Country · language
United States
US equities coverage
Tracked
SEC §17(b) disclosure
Not assessed

About 金融汪

金融汪, operating under the handle @shijiejinrongwang on YouTube, is a US-based creator focused on the finance category. The channel's content, as described in its bio, covers "everything about economy, finance, investment, and the future." With 125 videos published to date, 金融汪 has accumulated a total of 363,890 views across its content. The channel currently serves a subscriber base of 12,900. While the primary language of the content is not specified in the provided data, the channel's name and bio suggest a focus on Chinese-speaking audiences interested in financial topics. The channel's content strategy appears to be centered on consistent output within its niche, building a library of resources for its audience. The consistent publication of 125 videos indicates an established presence and ongoing commitment to content creation within the finance sector on YouTube.

金融汪's estimated sponsorship rates

InfluencerUnion estimates 金融汪's typical rate for an integrated YouTube video at $112, with a potential range from $92 to $153. This estimate places 金融汪 within the nano-influencer tier, reflecting its current subscriber count of 12,900. The pricing model factors in a niche CPM band of $45-$75 for the finance category, with an anchor CPM of $55. This higher-than-average CPM for finance content reflects the specialized nature of the audience and their potential value to advertisers in sectors such as fintech, investment platforms, and financial education. The estimated views used in this calculation were 2,038, derived from a subscriber-fallback model due to the absence of recent view-count history, which contributes to a low confidence score for the current estimate. Creators in the finance niche often command higher rates due to the demographic characteristics of their audience, who typically have disposable income and an interest in financial products and services. The specific format (integrated video) and platform (YouTube) also influence the final rate, with YouTube videos generally having a higher production value and longer shelf life compared to other content types. For a detailed breakdown of how these factors are weighted, readers can consult our methodology page.

Who should partner with 金融汪?

金融汪's audience, totaling 12,900 subscribers, is primarily interested in finance, as indicated by the channel's core content category. This demographic profile suggests an affinity for content related to economic trends, investment strategies, and future financial outlooks. Brands targeting financially literate or aspirational consumers would find this audience relevant. Specific brand categories that align well with this creator's content include fintech apps, online brokerages, personal-finance education platforms, wealth management services, and potentially even luxury goods or services that appeal to individuals with disposable income. The channel's focus on "economy, finance, investment, and the future" indicates an audience seeking informative and analytical content rather than purely entertainment-based material. In the broader finance niche, creators like Julia Cordova and mio来了 (@投資入門必修課) also cater to similar audiences, focusing on investment and market analysis. The engagement patterns within this niche often involve viewers seeking actionable insights or deeper understanding of complex financial topics, making them valuable for advertisers seeking engaged and informed consumers. The geographic location of the creator in the US, combined with a potentially non-English primary language, suggests a specific demographic within the US interested in finance content delivered in that language.

金融汪's growth and performance

金融汪's subscriber growth data currently consists of a single snapshot. The channel was first tracked on May 27, 2026, with 12,900 subscribers. The latest snapshot, also on May 27, 2026, shows the same subscriber count. This limited data set, spanning only one day, indicates a delta of zero subscribers during this very short tracking period. Consequently, we do not yet have historical data to analyze long-term growth trends, subscriber acquisition rates, or significant shifts in audience size. Information regarding average views over the last 30 days is also not available at this time. As more data becomes available, InfluencerUnion will be able to provide a more comprehensive analysis of 金融汪's audience growth trajectory and engagement metrics over time.

How our pricing estimate works for 金融汪

InfluencerUnion's rate estimates are generated through a proprietary algorithmic model designed to provide data-driven pricing guidance for creator collaborations. For 金融汪, the estimated range of $92 to $153 for an integrated YouTube video is derived by considering several key variables. These include the creator's subscriber count, the specific niche CPM (Cost Per Mille, or cost per thousand views) for the finance category, and platform-specific multipliers for YouTube content. The finance niche typically commands a higher CPM due to the demographic value of its audience. The model also accounts for the content format, with integrated videos on YouTube generally reflecting higher production value and engagement potential. The current estimate for 金融汪 utilizes a subscriber-fallback basis for view counts, which contributes to a low confidence score in this particular instance, as recent view history was unavailable. This algorithmic approach ensures consistency and objectivity across all creator profiles. For a comprehensive explanation of the specific formulas, data inputs, and confidence scoring system used in our estimations, please refer to the detailed methodology page at /methodology.