Auto Start Test
@autostarttest
🚗🔋🚴 I test anything with a motor (or at least a plug)! Independent reviews of cars, electric bikes and weird/fun gadgets – brutally honest, slightly chaotic, always entertaining. If it charges, I’ll probably break it test it. 😎⚡ 🤝 Partners & Collaborations From global EV brands to innovative tech startups — these are the companies that trusted Auto Start Test for real-world reviews. Featuring: ENGWE, XPENG , Rain-X, Ottocast, FitVille, VTOMAN and more.📬 Business contact: leszeklewandowski79@gmail.com CG-314424
13.2K
Subscribers
5.79M
Total views
692
Videos
—
Avg views (30d)
as of 2026-05-12
Integrated video price
Algorithmic estimateLow
$50
Typical
$83
High
$125
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, $50 – $125 per integrated placement. No community data points yet. See methodology →
About Auto Start Test
Auto Start Test, operating under the handle @autostarttest on YouTube, is a United Kingdom-based creator specializing in the automotive and technology sectors. The channel focuses on independent reviews of vehicles, particularly electric cars and electric bikes, alongside various tech gadgets. As of the latest data, Auto Start Test has accumulated 13,200 subscribers and a total of 5,791,599 views across 692 published videos. The content is characterized by a direct and evaluative approach to product testing, often highlighting the durability and functionality of items with motors or charging capabilities. The creator's bio indicates a focus on 'brutally honest, slightly chaotic, always entertaining' reviews. Collaborations and partnerships have included brands such as ENGWE, XPENG, Rain-X, Ottocast, FitVille, and VTOMAN, indicating engagement with both established and emerging companies in the EV and tech accessory markets. The channel's content strategy appears to center on practical, real-world assessments of consumer electronics and transportation technology.
Auto Start Test's estimated sponsorship rates
The estimated rate for an integrated video on the Auto Start Test YouTube channel ranges from $50 to $125, with a typical rate projected at $83. This estimate places Auto Start Test in the 'low' audience tier, reflecting its current subscriber count of 13,200. The pricing model considers several factors that influence creator compensation within the automotive and tech niches. These include the specific format of the integration, the overall reach of the channel, and the engagement metrics associated with its content. While Auto Start Test's subscriber base is still developing, its focus on detailed product reviews in a high-value niche like electric vehicles and consumer technology can command a competitive CPM. The channel's origin in the United Kingdom may also influence pricing, as regional advertising markets can vary. The rate is further informed by the volume of content produced, with 692 videos contributing to a substantial content library that demonstrates consistent output and expertise in its subject matter. For a comprehensive understanding of how these rates are calculated, refer to the /methodology page.
Who should partner with Auto Start Test?
The audience for Auto Start Test primarily consists of individuals interested in automotive technology, electric vehicles, electric bikes, and general consumer tech gadgets. Given the channel's focus on independent reviews, the viewership likely includes early adopters, tech enthusiasts, and consumers researching purchases in these categories. Specific brand categories that align with this audience profile include electric vehicle manufacturers, e-bike companies, automotive accessory providers, and developers of innovative tech products. The channel's content, which often involves testing and evaluating product performance, appeals to viewers seeking detailed, practical insights before making investment decisions. While specific demographic data is not available, the nature of the content suggests an audience that values technical specifications, real-world performance, and objective assessments. In the broader automotive niche, Auto Start Test's subscriber count of 13,200 places it among peers such as ビータの車大発見 (@vita-auto, 12,900 subs) and Car reviews (@carreviews20, 12,800 subs), indicating a shared audience interest in vehicle-related content. The channel's engagement with brands like ENGWE and XPENG further suggests an audience receptive to new and established players in the EV and personal mobility sectors.
Auto Start Test's growth and performance
Auto Start Test's growth trajectory has been tracked since May 12, 2026. On this date, the channel recorded 13,200 subscribers. The latest snapshot, also taken on May 12, 2026, shows the subscriber count remaining at 13,200. This provides a snapshot over a one-day period, indicating no change in subscriber count within this brief timeframe. We do not yet have historical data spanning a longer period to assess long-term growth trends or significant fluctuations. Information regarding average views over the last 30 days is also not available at this time. Future tracking will provide more comprehensive data on subscriber acquisition rates and overall channel expansion, allowing for a more detailed analysis of its growth performance within the automotive and tech content landscape.
How our pricing estimate works for Auto Start Test
The pricing estimates provided for Auto Start Test are generated through an algorithmic model. This model takes into account several key factors to determine a fair market rate for sponsored content. Primary inputs include the creator's subscriber count, which for Auto Start Test is 13,200, and an estimated CPM (Cost Per Mille) specific to the automotive and technology niches. This niche CPM reflects the advertising value of an audience interested in these specialized topics. Additionally, platform-specific multipliers for YouTube and format-specific multipliers for integrated video content are applied to refine the estimate. The current estimate is based on a 'metric_estimate' calibration, meaning it is derived from available data points and industry benchmarks, without the benefit of community-contributed pricing data from this specific creator. This approach aims to provide a data-driven, objective valuation for brand collaborations. For a detailed explanation of the variables, calculations, and data sources used in our algorithmic pricing, please consult the full methodology page at /methodology.