finanzen.net
YouTubefinanceDE

finanzen.net

@finanzennet

finanzen.net ist das größte Börsen- und Finanzportal Deutschlands. In regelmäßigen Abständen bieten wir kostenlose Webinare zum Thema Trading an. Die Aufzeichnung der Webinare sowie andere interessante Videos zum Thema Traden und Börse veröffentlichen wir in unserem YouTube-Channel.

16K

Subscribers

1.46M

Total views

794

Videos

Avg views (30d)

as of 2026-05-12

Integrated video price

Algorithmic estimate

Low

$101

Typical

$168

High

$252

Range is the pure algorithmic estimate from audience size, niche CPM, geo and format multipliers. How this works →

Pricing model

Algorithmic estimate

Pure algorithmic estimate, $101 – $252 per integrated placement. No community data points yet. See methodology →

About finanzen.net

finanzen.net operates as a YouTube channel associated with what is described as Germany's largest stock market and finance portal. The channel primarily focuses on financial education, offering content related to trading and general stock market topics. Its content strategy includes publishing recordings of free webinars, alongside other videos pertinent to trading and the broader financial landscape. With 794 videos published to date, the channel has accumulated a total of 1,456,350 views. The content is delivered in German, aligning with its stated position as a key financial resource within Germany. The channel's subscriber base is currently at 16,000, placing it within a specific tier among finance-focused creators on the platform. Its programming is designed to provide educational resources for individuals interested in financial markets, from basic trading concepts to more in-depth analyses, leveraging its connection to a prominent financial information portal.

finanzen.net's estimated sponsorship rates

The estimated rate for an integrated video on the finanzen.net YouTube channel ranges from $101 to $252, with a typical rate projected at $168. This estimate is derived from an algorithmic model that considers various factors, including the channel's subscriber count, its specific niche within the finance category, and platform-specific multipliers for YouTube video integrations. The channel's audience size, currently at 16,000 subscribers, places it in the low audience tier for pricing considerations. Niche CPM (Cost Per Mille) rates for the finance category tend to be higher than average due to the perceived value and purchasing power of audiences interested in financial products and services. The German geographic focus may also influence rates, reflecting the economic landscape and advertiser demand within that region. The format of an integrated video typically involves a dedicated segment within a longer piece of content, which can command a different rate compared to shorter, standalone advertisements. For instance, channels like VERMÖGENSFABRIK and 超保守的な資産管理チャンネル, operating in similar finance niches with comparable subscriber counts, would likely see their rates influenced by these same parameters. The specific pricing formula and its components are detailed further on our /methodology page.

Who should partner with finanzen.net?

The audience for finanzen.net primarily consists of individuals interested in financial markets, stock trading, and personal finance education, predominantly within Germany. The channel's content, which includes webinar recordings and other educational videos on trading and the stock market, attracts viewers seeking to enhance their financial literacy and investment strategies. This demographic is typically engaged with content related to investment platforms, market analysis tools, and financial news. Brands that would find this audience particularly valuable include fintech applications, online brokerage services, personal finance education platforms, investment advisory firms, and publishers of financial news and analysis. Given the channel's focus on the German market, advertisers targeting a German-speaking audience with an interest in finance would find this channel relevant. Peer channels such as VERMÖGENSFABRIK (@vermoegensfabrik) and 超保守的な資産管理チャンネル (@familyofficecom), which also operate in the finance niche with similar subscriber counts, likely share a comparable audience profile, attracting viewers with an active interest in managing and growing their assets. The engagement with educational financial content suggests an audience that is often proactive in seeking information and making informed decisions about their money.

finanzen.net's growth and performance

finanzen.net's subscriber growth history currently reflects a single data point. The channel was first tracked on 2026-05-12, at which time it had 16,000 subscribers. The latest snapshot, taken on the same date, shows the subscriber count remaining at 16,000. This provides a snapshot of its current standing but does not offer a historical trend for analysis. Over the one-day span for which data is available, there has been a delta of +0 subscribers. We do not yet have view-count history or average views for the last 30 days to provide a more comprehensive growth assessment. Future tracking will allow for a more detailed analysis of subscriber accumulation and content performance over time.

How our pricing estimate works for finanzen.net

The estimated pricing for finanzen.net's content integrations is generated through an algorithmic model developed by InfluencerUnion. This model takes into account several key variables to produce a data-driven rate projection. Core components include the creator's subscriber count, which for finanzen.net stands at 16,000, placing it in the low audience tier. The model also incorporates a niche CPM (Cost Per Mille) specific to the finance category, reflecting advertiser demand and audience value within this sector. Furthermore, platform-specific multipliers are applied, accounting for the unique characteristics and engagement patterns of YouTube video content. Geographic factors, such as the creator's base in Germany, also play a role in calibrating the estimate. It is important to note that this estimate is currently based on a metric_estimate, with zero community data points contributing to its calibration. For a comprehensive explanation of the specific formulas, data inputs, and ongoing calibration processes that inform our pricing estimates, please refer to our detailed methodology page at /methodology.