DOLLAR GRATISS

About DOLLAR GRATISS

DOLLAR GRATISS, operating under the handle @ftomystory on YouTube, is an Indonesian-language creator based in Indonesia. The channel focuses on finance, with a strong emphasis on cryptocurrency and related digital economy topics. Content explores various methods of generating income online, including mobile mining, airdrops, general cryptocurrency discussions, stock market insights, and fintech developments. The creator maintains a clear disclaimer that all content is for informational and educational purposes only, not financial advice or investment recommendations. With 2,349 videos published, DOLLAR GRATISS has accumulated a total of 4,044,229 views, catering to an audience interested in the practical applications of digital finance and the broader creator economy.

DOLLAR GRATISS's estimated sponsorship rates

The estimated rate for a sponsored video integration on the DOLLAR GRATISS YouTube channel ranges from $113 to $284, with a typical rate around $189. This estimate places DOLLAR GRATISS in the low audience tier. Several factors contribute to this rate. The channel's primary focus on finance and secondary focus on cryptocurrency represents a niche with potentially higher CPMs due to advertiser interest in this sector. The geographic location of the creator in Indonesia and the primary language being Indonesian also influence the rate, as regional market dynamics and advertiser demand for specific linguistic audiences play a role. The extensive library of 2,349 videos indicates consistent content production, which can be a positive signal for brand partnerships. For a detailed breakdown of how these rates are calculated, including specific multipliers for platform and format, please refer to our /methodology page.

Who should partner with DOLLAR GRATISS?

The audience for DOLLAR GRATISS is primarily interested in finance and cryptocurrency, with a specific focus on methods for generating income online. This demographic is likely to engage with content related to fintech applications, digital currency developments, and investment strategies within the digital economy. Brands in categories such as cryptocurrency exchanges, blockchain-based platforms, mobile payment solutions, personal finance apps, and online investment education platforms would find this audience particularly relevant. The channel's content on topics like central bank digital currency (CBDC), digital currency trends, and various earning opportunities from the internet aligns with the interests of individuals seeking to understand and participate in the evolving digital financial landscape. Peers in a similar niche and subscriber tier include JONBER_미국주식이야기 (@jonber_usstockstory) and Global Value (@beststock), both with 18,000 subscribers, indicating a consistent audience size across these finance-focused channels.

DOLLAR GRATISS's growth and performance

DOLLAR GRATISS was first tracked on 2026-05-18, at which point the channel had 18,000 subscribers. The latest snapshot, also taken on 2026-05-18, shows the subscriber count remaining at 18,000. This provides a snapshot of the channel's subscriber base over a one-day period, indicating a delta of +0 subscribers within this initial tracking window. We do not yet have historical data on average views for the last 30 days to provide a more comprehensive view of recent engagement trends. Future tracking will provide a more detailed understanding of subscriber and view growth over time.

How our pricing estimate works for DOLLAR GRATISS

The pricing estimate for DOLLAR GRATISS is generated through an algorithmic model. This model calculates an estimated rate by considering several key factors: the creator's subscriber count, the prevailing CPM (cost per mille) for their specific niche (finance and crypto), and platform-specific or format-specific multipliers. The current estimate is primarily based on this metric-driven approach, as we do not yet have community-contributed pricing data for this creator. The algorithm provides a range from a low to a high estimate, with a typical rate representing the most probable value. For a comprehensive explanation of the data points, calculations, and multipliers used in our algorithmic pricing methodology, please visit our /methodology page.