Gabriel Martin

About Gabriel Martin

Gabriel Martin is a YouTube-based content creator and financial professional operating out of Argentina. His channel, @gabrielmartin_yt, focuses on the intersection of industrial engineering principles and financial market analysis. Martin maintains a professional credential as an 'Asesor Financiero Idóneo' (CNV No. 2822 AP), which distinguishes his content from generalist personal finance creators. His editorial strategy centers on the selection and monitoring of publicly traded companies, offering analytical support for viewers navigating investment decisions. The channel functions as a resource for market participants, characterized by a consistent schedule of weekly live-streamed sessions. With 1,311 videos published to date, Martin has established a long-form content repository that prioritizes technical financial education over entertainment-focused trends. His total channel reach stands at 2,954,560 cumulative views, reflecting a dedicated focus on the Latin American financial sector. By positioning himself as a regulated advisor, Martin serves a specific segment of the YouTube ecosystem that prioritizes institutional-grade financial literacy and systematic investment methodologies. The channel does not currently utilize secondary categories, maintaining a singular focus on finance, investments, and economic analysis.

Gabriel Martin's estimated sponsorship rates

The estimated market rate for a sponsored video integration on Gabriel Martin’s YouTube channel ranges from $220 to $367, with a typical valuation of $269 per placement. This pricing is derived from a niche CPM band of $45 to $75, anchored at $55, which reflects the high-intent nature of the finance category. Because financial content often attracts advertisers from high-LTV (lifetime value) sectors—such as brokerage firms, fintech platforms, and investment advisory services—the CPM multipliers applied to this channel are higher than those found in general lifestyle or entertainment niches. Several factors influence this valuation: the creator’s specific professional credentials (CNV certification) increase the perceived authority and trust of the integration, while the consistent weekly live-stream format suggests a high level of audience retention. Furthermore, the channel’s focus on specific stock selection and market monitoring ensures that the audience is composed of active investors, which is a premium demographic for financial services brands. While the subscriber count of 39,600 places the channel in the nano-influencer tier, the engagement quality and the specialized nature of the content provide a stable baseline for these rate estimates. For a detailed breakdown of how these figures are calculated, please refer to our methodology page.

Who should partner with Gabriel Martin?

Gabriel Martin’s audience is primarily composed of individuals seeking professional-grade financial guidance and market analysis within the Spanish-speaking investment community. The channel’s content attracts viewers interested in asset selection, portfolio management, and macroeconomic trends. Given the creator's professional background as an industrial engineer and CNV-certified advisor, the audience segment is likely skewed toward serious retail investors, professionals, and individuals looking for structured investment education rather than speculative trading advice. Brand categories that align with this demographic include fintech applications, online brokerage platforms, personal-finance management software, and institutional investment research services. The audience profile is comparable to that of other finance-focused creators in the 39,000 to 40,000 subscriber range, such as Australian Investment Education, 金玉峰投顧, and Somos Investopi. Like these peers, Martin’s channel serves as a hub for niche-specific education, where the value proposition is rooted in the creator’s ability to interpret complex market data. The absence of secondary content categories ensures that the audience remains highly concentrated, minimizing the 'noise' often found in broader finance channels. This demographic density is a key driver for the channel’s performance in the financial services advertising vertical.

Gabriel Martin's growth and performance

As of the most recent data snapshot on August 21, 2026, Gabriel Martin’s channel reached a total of 39,600 subscribers. The growth history for this creator is currently limited to a single data point, as the channel was first tracked on August 21, 2026, at 38,900 subscribers. Over the recorded 1-day span, the channel showed a net change of 0 subscribers. Because the tracking history is restricted to this snapshot, we do not yet have a longitudinal view of subscriber velocity or long-term growth trends. Furthermore, we do not yet have view-count history or a 30-day average view metric available to assess recent performance fluctuations. Future updates to the InfluencerUnion database will provide a more granular look at the channel's trajectory, including month-over-month subscriber acquisition rates and the impact of specific video releases on total channel growth.

How our pricing estimate works for Gabriel Martin

The valuation and audience tier classifications presented for Gabriel Martin are generated through a proprietary algorithmic model designed to standardize influencer pricing across the creator economy. Our approach calculates the estimated value of a sponsored video integration by multiplying the creator’s average view count—in this case, 4,887 views—by a niche-specific CPM (Cost Per Mille) band. This niche-specific multiplier accounts for the higher advertising demand associated with the finance sector compared to general content categories. The algorithm also incorporates platform-specific variables, such as the format of the content (e.g., long-form video vs. live stream) and the creator's historical engagement patterns. The audience tier is determined by total subscriber count, with the nano-influencer classification assigned to channels within the 10,000 to 50,000 range. For a comprehensive explanation of our data sourcing, confidence intervals, and the specific variables used in our pricing formulas, please consult our methodology page.