Dividend Data

About Dividend Data

Dividend Data is a US-based YouTube channel focused on dividend growth investing, a strategy centered on generating cash flow through dividend-paying stocks without liquidating positions. The channel, operating under the handle @dividenddata, provides regular content for its 173,000 subscribers, covering various aspects of this investment approach. Content frequently includes monthly analyses of the creator's personal dividend stock portfolio, offering transparency into their investment journey. Weekly videos delve into a range of topics, such as individual stock reviews, current dividend news, broader investing theory, and Q&A sessions. The channel also features content that distills lessons from prominent figures in the investing world. With 382 videos published to date, Dividend Data has accumulated 13,868,385 total views, establishing itself as a consistent source of information within the finance content category on YouTube. The channel emphasizes the compounding effect of reinvesting dividends and positions dividend investing as a potential pathway to financial independence.

Dividend Data's estimated sponsorship rates

The estimated cost for an integrated video on the Dividend Data YouTube channel ranges from $623 to $1,557, with a typical rate of $1,038. This pricing places Dividend Data within the mid-tier audience classification. The specific rate for a brand integration is influenced by several factors, including the creator's audience size of 173,000 subscribers, the high-value nature of the finance niche, and the specific format and placement of the integration within a YouTube video. Finance content generally commands higher CPMs (cost per mille) due to the affluent and engaged demographic it attracts, making creators like Dividend Data valuable for brands targeting financially literate audiences. The channel's focus on detailed portfolio analysis and investment theory further enhances its appeal to specific advertisers. For a comprehensive understanding of how these rates are calculated, including the interplay of audience demographics, engagement metrics, and content type, refer to the detailed methodology page.

Who should partner with Dividend Data?

Dividend Data's audience of 173,000 subscribers is primarily interested in finance, with a specific focus on dividend growth investing and broader personal finance strategies. This demographic typically includes individuals seeking to build long-term wealth, generate passive income, and understand complex investment concepts. Brands in categories such as fintech apps, online brokerages, personal-finance education platforms, and wealth management services would find a highly relevant and engaged audience on this channel. The content's emphasis on portfolio analysis, stock reviews, and investment theory suggests an audience that is actively researching and making financial decisions. Peers in this niche, such as Nick Invests (@nickinvestsus) with 174,000 subscribers and Investor's Business Daily (@investorsbusinessdaily) with 175,000 subscribers, cater to similar demographics, indicating a competitive but robust market for finance-related content. The channel's US base further refines the target audience for geographically specific campaigns, although the primary language of the audience is not yet available.

Dividend Data's growth and performance

Dividend Data's subscriber growth history is currently limited to a single snapshot. The channel was first tracked on 2026-05-22, at which point it had 173,000 subscribers. As of the latest snapshot on 2026-05-22, the subscriber count remained at 173,000. This represents a delta of +0 subscribers over a one-day tracking period. We do not yet have historical data to analyze long-term subscriber trends or significant growth spurts. Average views for the last 30 days are also not available at this time. Further tracking will provide a more comprehensive understanding of the channel's growth trajectory and audience acquisition patterns.

How our pricing estimate works for Dividend Data

The estimated pricing for brand integrations on Dividend Data is derived from an algorithmic model. This model considers several key factors, including the creator's subscriber count, the typical CPM (cost per mille) for the finance niche, and specific multipliers applied based on the platform (YouTube) and content format (integrated video). The current estimate is based on a metric_estimate, with zero community data points contributing to its calibration. This means the pricing is primarily a projection based on industry averages and the creator's quantitative metrics rather than direct market feedback from similar collaborations. For a detailed explanation of the variables and calculations involved in generating these price estimates, including how niche value, audience engagement, and content type influence the final figure, please refer to our comprehensive methodology page at /methodology.