FixEye
YouTubeAE

FixEye

@fixeye

Люблю снимать видео! Обзоры, игры, майнкрафт, сплошное развлечение для всех! Буду рад каждому! :) Регистрация в перечне РКН: https://vk.cc/cHXJZH newfixeye@gmail.com 9e65a7de-61c9-4b6d-a676-bb7a1e2b56aa

11.8M

Subscribers

4.64B

Total views

1.9K

Videos

Avg views (recent)

not yet captured

About FixEye

FixEye is a Russian-language gaming creator based in the United Arab Emirates, operating the YouTube channel @fixeye. The channel has published 1,904 videos and accumulated 4.64 billion total views across its lifetime. Content focuses on game reviews, gameplay commentary, and Minecraft-related material, positioned as entertainment for a broad audience. The creator maintains an active presence and is registered in the Russian Communications Regulatory Authority (РКН) registry, as documented in their channel bio. FixEye operates within the Russian-speaking gaming creator ecosystem, where gaming and entertainment content consumption remains substantial. The channel's scale—11.8 million subscribers—places it among the larger gaming channels in the Russian-language YouTube space, competing directly with similarly-sized peers in the same category.

FixEye's estimated sponsorship rates

FixEye's estimated sponsorship rate for an integrated YouTube video ranges from $8,496 (low) to $21,240 (high), with a typical rate of $14,160. This pricing reflects the creator's high audience tier classification and subscriber base of 11.8 million. The rate estimate is algorithmic, derived from subscriber count, niche-specific CPM assumptions for gaming content, and platform-format multipliers; it has not yet been calibrated against direct brand-deal data from the creator. Gaming content in Russian-language markets typically commands lower CPM rates than English-language equivalents, which moderates the per-subscriber rate relative to similarly-sized English creators. Geographic location (UAE) and language (Russian) also influence advertiser demand and pricing. Brands considering partnerships should note that actual rates may vary based on audience demographics, engagement metrics, content category alignment, and negotiation factors not captured in the algorithmic estimate.

Who should partner with FixEye?

FixEye's 11.8 million subscribers represent a high-tier audience in the gaming and entertainment category. The audience is primarily Russian-speaking, reflecting the creator's primary language and content strategy. Gaming content audiences typically attract brands in several verticals: gaming hardware and peripherals, software platforms, energy drinks and snacks, mobile gaming apps, streaming services, and entertainment merchandise. Secondary entertainment positioning may also appeal to general consumer brands seeking broad reach within the gaming demographic. Peer creators at similar scale—including Karim Juega (11.8 million subscribers), Slogo (11.7 million), windy31 (11.5 million), and MrLololoshka (11.3 million)—compete for overlapping advertiser budgets in the gaming space. ЕвгенБро, at 12.3 million subscribers, represents the upper boundary of this peer cohort. The Russian-language gaming audience skews younger and is concentrated in Eastern European and Russian-speaking diaspora markets, which shapes both advertiser interest and content monetization dynamics.

FixEye's growth and performance

FixEye was first tracked on 2026-05-11 at 11,800,000 subscribers. The latest snapshot, also recorded on 2026-05-11, shows no change in subscriber count over the 1-day observation window. This single-day span is insufficient to establish meaningful growth trends. Average view counts for the last 30 days are not yet available. Longer-term growth assessment requires additional historical data points across weeks and months.

How our pricing estimate works for FixEye

The algorithmic price estimate is calculated using subscriber count (11,800,000), a niche-specific CPM assumption for gaming content, and platform-format multipliers for YouTube integrated sponsorships. The estimate has not yet been calibrated against community-reported brand-deal data (0 data points available). For a detailed explanation of the CPM assumptions, multiplier logic, and how peer-based calibration refines estimates over time, see the /methodology page. Rates are provided as a range (low, typical, high) to reflect uncertainty inherent in algorithmic estimation. Actual sponsorship fees depend on audience demographics, engagement rates, content category fit, and direct negotiation between creator and brand.