부코드, AI 활용해서 투자하기
YouTubefinance

부코드, AI 활용해서 투자하기

@부코드ai

평생직장이라 생각하며 목숨을 바쳐 다녔습니다. 출근도, 퇴근도 1시간씩 먼저 해가며 인정받고 승진하기 위해 안간힘을 썼습니다. 그러나 30대 중반이 된 지금. 삶의 여유는 고사하고, ' 혹시 회사에서 잘리는 것은 아닐까? ' 전전긍긍하는 제 자신이 안쓰러웠습니다. 회사가 전부라 생각하며 죽어라 일만 했을 20대, 30대 직장인이 있다면 부디 저처럼 후회하지 마세요. 준비하세요. 재테크, 투자, 사업, 부수입, 한 살이라도 젊었을 때 꼭 알아야 할 것들, 그토록 후회하고 지금에서야 제가 공부하고 있는 것들을 공유하기 위해 이 채널을 만들었습니다. 하루라도 빨리 준비하셔서 멋진 30대, 40대를 준비하시길 응원합니다.

36.5K

Subscribers

2.61M

Total views

119

Videos

Avg views (recent)

not yet captured

Estimated rate · Integrated video

Subs-based fallback · Low confidence

Low

$260

Typical

$317

High

$433

Niche CPM
$45–75anchor $55
Avg views
5,767tier-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
US equities coverage
Not flagged
SEC §17(b) disclosure
Not assessed

About 부코드, AI 활용해서 투자하기

부코드, AI 활용해서 투자하기 (@부코드ai) is a YouTube channel focused on finance and business, with a subscriber base of 36,500. The channel has published 119 videos, accumulating 2,612,795 total views. The creator's content is primarily in an unknown language, and the country of origin is also not yet determined. The channel's bio indicates a focus on personal finance, investment strategies, business ventures, and supplementary income streams, drawing from the creator's personal experience of career reflection in their mid-30s. The content aims to provide guidance to younger professionals (20s and 30s) on preparing for financial independence and career resilience, sharing insights on topics the creator wishes they had known earlier. This positions 부코드, AI 활용해서 투자하기 as a resource for individuals seeking to navigate career and financial planning beyond traditional employment paths.

부코드, AI 활용해서 투자하기's estimated sponsorship rates

The estimated rate for an integrated video on the 부코드, AI 활용해서 투자하기 YouTube channel ranges from $260 to $433, with a typical rate of $317. This pricing places the channel within the nano-influencer tier, reflecting its current subscriber count of 36,500. The finance niche typically commands a higher CPM band, estimated between $45 and $75, with an anchor CPM of $55. This elevated CPM compared to general content categories is a significant factor in the rate calculation, as financial topics often attract advertisers seeking engaged audiences with disposable income or an interest in financial products and services. The rate estimate is based on a projected view count of 5,767, derived from a subscriber fallback model due to the absence of recent average view data. The confidence level for this view basis is currently low, which can influence the precision of the rate estimate. Factors such as audience engagement, content quality, and the specific integration requirements can further refine these figures. For a detailed breakdown of the algorithmic pricing model, including how subscriber counts, niche CPMs, and platform multipliers are applied, readers are directed to the /methodology page.

Who should partner with 부코드, AI 활용해서 투자하기?

The audience for 부코드, AI 활용해서 투자하기 is primarily interested in finance and business topics, aligning with the channel's content focus on investment, personal finance, and alternative income streams. Given the creator's narrative of career reflection and preparation for financial independence, the audience likely consists of young to mid-career professionals in their 20s and 30s who are actively seeking strategies for wealth building, career diversification, and financial security. Specific brand categories that would resonate with this audience include fintech apps, online brokerages, personal-finance education platforms, investment advisory services, and business development tools. The channel's emphasis on AI in investing also suggests an audience interested in technological applications within finance. Peer channels in this niche, such as Smart Stock Investment (@smartstockinvestment4127) and タイツの社会・経済分析チャンネル (@all_tesla), also cater to similar demographics interested in stock market analysis, economic trends, and investment strategies. The shared subscriber count of 36,500 with several peers indicates a competitive yet engaged segment of the creator economy focused on financial literacy and investment insights.

부코드, AI 활용해서 투자하기's growth and performance

부코드, AI 활용해서 투자하기 has been tracked since May 26, 2026, when its subscriber count was recorded at 36,500. The latest snapshot, taken on the same date, shows the subscriber count remains at 36,500. Over this one-day tracking period, the channel has experienced a delta of +0 subscribers. We do not yet have historical data spanning a longer period to assess subscriber growth trends or fluctuations. Similarly, average view data for the last 30 days is not available at this time. Future tracking will provide more comprehensive insights into the channel's growth trajectory and audience engagement patterns over time. This initial data point serves as a baseline for ongoing monitoring of the channel's performance.

How our pricing estimate works for 부코드, AI 활용해서 투자하기

The pricing estimate for 부코드, AI 활용해서 투자하기 is generated through an algorithmic model that considers several key factors. This estimate is not a fixed rate but rather a data-driven projection of potential earnings for an integrated video on the YouTube platform. The core components of the calculation include the channel's subscriber count, which serves as a primary indicator of reach, and a niche-specific CPM (Cost Per Mille) band. For finance content, the CPM is typically higher, reflecting the value advertisers place on this engaged demographic. Platform and format multipliers are also applied to adjust for the specific characteristics of YouTube content and video integrations. The estimated view count of 5,767, used as a basis for this calculation, is derived from a subscriber fallback model due to the current absence of recent average view data, resulting in a low confidence level for this specific input. For a comprehensive explanation of how these variables are weighted and combined to produce the final rate estimate, including details on our data sources and analytical approach, please refer to our detailed methodology page at /methodology.