Bruno OM
YouTubefinanceBR

Bruno OM

@canalbrunoom

Aos 40 anos eu tinha R$500 na conta e um medo: chegar à velhice dependendo de aposentadoria do governo, dos meus filhos ou da sorte. Hoje, depois de quase 10 anos, posso dizer: Consegui! Alcancei a liberdade financeira! O medo sobre o futuro não existe mais e eu sei o que deu certo no caminho das pedras e o que eu faria de diferente. Aqui no canal eu compartilho números e decisões táticas da minha própria carteira, os FIIs e ações que escolhi e o porquê os escolhi, quanto recebo de dividendo todo mês e - principalmente - os erros que cometi pra você não repeti-los. Acredite, eu não vou te passar lista pronta de “compre isso” ou “venda agora essa ação”, você vai aprender a analisar mercado, ler oportunidades e tudo que você precisa para tomar as suas próprias decisões e construir um futuro que não depende de nada nem ninguém. Você já investe mas ainda não sente segurança em dar um próximo passo? Esse canal é pra você! 🫵 ⏯️ Vídeo novo toda SEGUNDA, QUARTA E SEXTA, às 19h!

863K

Subscribers

69.6M

Total views

1.35K

Videos

Avg views (recent)

not yet captured

Estimated rate · Integrated video

Subs-based fallback · Low confidence

Low

$4,699

Typical

$5,743

High

$7,832

Niche CPM
$45–75anchor $55
Avg views
104,423tier-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
Macro (500K–1M)
Activity
Activity unknownavg views not yet captured
Niche
Finance
Country · language
Brazil
US equities coverage
Not flagged
SEC §17(b) disclosure
Not assessed

About Bruno OM

Bruno OM, operating under the handle @canalbrunoom on YouTube, is a finance content creator based in Brazil. The channel focuses on personal finance, investment strategies, and the journey to financial independence. With 863,000 subscribers and a total of 69,551,632 views across 1,351 published videos, Bruno OM shares insights derived from personal experience. The creator's content often details specific investment decisions, including choices in FIIs (Real Estate Investment Trusts) and stocks, monthly dividend income, and lessons learned from past errors. The channel's narrative is built around the creator's own path from having limited savings at age 40 to achieving financial freedom, aiming to guide viewers through similar challenges. The primary language of the content is not specified in the provided data, but the creator's country of origin is Brazil.

Bruno OM's estimated sponsorship rates

The estimated rate for a video integration on the @canalbrunoom YouTube channel ranges from $4,699 to $7,832, with a typical rate around $5,743. This pricing is influenced by several factors, including the channel's macro audience tier, which signifies a substantial reach within the finance niche. The finance category generally commands a higher CPM band, estimated between $45 and $75, with an anchor CPM of $55, reflecting the value advertisers place on reaching an audience interested in financial products and services. While the subscriber count of 863,000 is a key determinant, the algorithmic estimate also considers a views basis of 104,423, derived from a subscriber fallback model due to the absence of recent average view data. This approach provides a robust estimate even without a complete view-count history, positioning Bruno OM's rates competitively within the financial content landscape. For a detailed breakdown of the pricing methodology, readers are encouraged to consult the /methodology page.

Who should partner with Bruno OM?

The audience for @canalbrunoom primarily consists of individuals interested in personal finance and investment strategies, particularly within the Brazilian market. With 863,000 subscribers, the channel attracts viewers seeking guidance on achieving financial independence, managing investments in FIIs and stocks, and understanding dividend income. This demographic is highly relevant for brands in fintech, online brokerage services, personal-finance education platforms, and wealth management. The content's focus on practical, experience-based advice resonates with an audience looking for actionable financial strategies. In terms of audience size, @canalbrunoom is comparable to other macro-tier finance creators such as ZipTrader (@ziptrader), which has 865,000 subscribers, and Stock Market INDIA (@stockmarketindia) with 856,000 subscribers. These channels collectively cater to a global audience with a strong interest in financial literacy and market insights, making them valuable platforms for advertisers targeting financially engaged consumers.

Bruno OM's growth and performance

As of the latest available data, @canalbrunoom had 863,000 subscribers. Our tracking for this channel began on 2026-05-30, at which point the subscriber count was also 863,000. The most recent snapshot, taken on the same date, shows no change in subscriber count, indicating a delta of +0 subscribers over a one-day tracking period. We do not yet have historical data to assess long-term growth trends or fluctuations in subscriber numbers. Additionally, average views for the last 30 days are not available at this time, limiting our ability to analyze recent audience engagement patterns. Future snapshots will provide a more comprehensive view of the channel's growth trajectory and audience development.

How our pricing estimate works for Bruno OM

The estimated pricing for content integration on @canalbrunoom is generated through an algorithmic model developed by InfluencerUnion. This model calculates a rate based on several key factors, including the creator's subscriber count, the specific niche CPM (Cost Per Mille) band for finance content, and platform-specific multipliers for YouTube video integrations. The finance niche, with its high advertiser demand, typically commands a CPM band of $45-75. For @canalbrunoom, a subscriber fallback mechanism was used to estimate views at 104,423, due to the absence of recent average view data, providing a low confidence basis for this specific view metric. This approach ensures a consistent estimation even when complete data sets are not available. For a detailed explanation of the variables, calculations, and confidence levels used in our algorithmic pricing, please refer to our comprehensive methodology page at /methodology.