小周老師
@money17168
歡迎加入 《小周老師-周佳和分析師》YouTube頻道 用最淺顯易懂的 『產業研究、選股邏輯、台股分析』 帶你玩樂台股📈輕鬆成贏家😎 【官方LINE@】私訊問題 https://line.me/R/ti/p/@488ligex 《周佳和分析師》純產業分析+即時新聞 https://lin.ee/A398wNf 《投資玩家-周佳和分析師》台股解盤專區 https://line.me/R/ti/p/@488ligex 【證照】證券投資分析師 【經歷】研究機構產業研究員、專欄財經類作者、證券商營業員 本公司不保證獲利,投資人應獨立判斷,審慎評估並自負投資風險。 倫元證券投資顧問股份有限公司 電話:02-7725-1500
63K
Subscribers
1.22M
Total views
326
Videos
479
Avg views (recent)
15-video sample · 2026-07-05
Estimated rate · Integrated video
Avg views · niche CPM · High confidenceLow
$22
Typical
$26
High
$36
- Niche CPM
- $45–75anchor $55
- Avg views
- 479per recent video
- Format mult
- 1.00×
- Exclusivity
- No exclusivitybaseline
Estimated · benchmark only · not claimed by creator. How this works →
Influence profile
Display only · not a price input- Size tier
- Micro (50K–100K)
- Activity
- Low activityratio 0.008 · n=15
- Niche
- Finance
- Country · language
- —
- US equities coverage
- Not flagged
- SEC §17(b) disclosure
- Not assessed
About 小周老師
小周老師 (@money17168) is a YouTube creator focused on finance, providing analysis of the Taiwanese stock market. The channel, fronted by analyst 周佳和, aims to simplify complex investment concepts through industry research, stock selection logic, and general market analysis. With 308 videos published, the channel has accumulated 1,184,950 total views. 周佳和 holds a securities investment analyst license and has prior experience as an industry researcher at a research institution, a financial columnist, and a securities firm salesperson. The content is primarily delivered in an accessible format, guiding viewers through various aspects of stock market engagement. The channel also maintains an active presence on LINE@ for direct engagement and additional content streams, including pure industry analysis and real-time news updates, alongside a dedicated section for Taiwanese stock market commentary. The creator operates under 倫元證券投資顧問股份有限公司, emphasizing that the company does not guarantee profits and advises investors to exercise independent judgment and assume their own investment risks.
小周老師's estimated sponsorship rates
InfluencerUnion estimates that a sponsored video integration on the 小周老師 YouTube channel would range from $397 to $992. The typical rate is estimated at $662. This pricing is influenced by several factors, including the channel's subscriber count of 63,000, which places it in the low audience tier. The finance niche generally commands higher CPMs due to its specialized audience and the potential for high-value conversions for advertisers in sectors such as fintech, investment platforms, and financial education. While the specific country and primary language are not available, the focus on the Taiwanese stock market suggests a geographically targeted audience, which can also impact pricing. The rate estimate is based on an algorithmic model that considers these variables, including subscriber numbers, niche value, and platform-specific multipliers. For a detailed breakdown of how these estimates are calculated, readers are encouraged to consult the /methodology page. The absence of historical view-count data for the last 30 days means that recent engagement trends are not factored into this specific estimate, which relies primarily on subscriber count and niche valuation.
Who should partner with 小周老師?
The audience for 小周老師 (@money17168) primarily consists of individuals interested in finance, specifically the Taiwanese stock market. With 63,000 subscribers, the channel attracts viewers seeking insights into industry research, stock selection strategies, and general market analysis. This demographic is likely to be interested in a range of financial products and services, including fintech applications, online brokerage platforms, personal-finance education resources, and investment advisory services. Brands operating in these sectors may find the channel's audience to be a relevant target for partnerships. The content's focus on simplifying complex financial topics suggests an audience that may include both novice investors and those looking to refine their strategies. Peer channels in the finance niche, such as HFM (@hfmbroker) and 精英财经 LABanker (@la_banker), share a similar subscriber base, indicating a consistent audience segment across these creators. The engagement on LINE@ further suggests an audience that values direct communication and access to real-time financial news and analysis, indicating a proactive and engaged segment of the finance community.
小周老師's growth and performance
小周老師's subscriber growth data indicates a stable period based on the available snapshots. The channel was first tracked on 2026-05-18 with 63,000 subscribers. The latest snapshot, also taken on 2026-05-18, shows the subscriber count remaining at 63,000. This represents a zero change in subscribers over a one-day tracking period. We do not yet have historical data spanning a longer duration to assess long-term growth trends or identify periods of significant subscriber acquisition or fluctuation. Similarly, average views for the last 30 days are not available, preventing an analysis of recent content performance and audience engagement velocity. Future tracking will provide more comprehensive data points to evaluate the channel's growth trajectory and audience development over time.
How our pricing estimate works for 小周老師
The estimated pricing for sponsored content on 小周老師's channel is generated through an algorithmic model developed by InfluencerUnion. This model takes into account several key metrics, including the creator's subscriber count, the specific niche (finance in this case), and platform-specific multipliers for YouTube. The finance category typically commands a higher CPM (cost per mille, or cost per thousand views/impressions) due to the specialized nature of the content and the high commercial intent of the audience. The current estimate is based on a metric-driven approach, as community data points for this specific creator are not yet available for calibration. The model also considers the format of the content, with integrated video sponsorships on YouTube being the basis for this particular estimate. For a comprehensive explanation of the variables, calculations, and data sources used in our algorithmic pricing estimates, please refer to the detailed methodology page at /methodology.