Minute Beauté
@minutefacilebeaute
Maquillage, coiffure, mode et accessoires : vous trouverez ici tous nos tutos faciles, réalisés par des passionnés et des professionnels. Soyez Belle, tout simplement !
287K
Subscribers
62.9M
Total views
1.04K
Videos
—
Avg views (30d)
as of 2026-05-11
Integrated video price
Algorithmic estimateLow
$689
Typical
$1,148
High
$1,722
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, $689 – $1,722 per integrated placement. No community data points yet. See methodology →
About Minute Beauté
Minute Beauté operates a French-language beauty and fashion tutorial channel on YouTube with 287,000 subscribers and over 62.9 million total views across 1,039 published videos. The channel focuses on makeup, hairstyling, fashion, and accessories, positioning itself around accessible, easy-to-follow tutorials created by both passionate enthusiasts and professional practitioners. The channel's stated mission—"Soyez Belle, tout simplement" (Be beautiful, simply)—reflects an emphasis on practical, achievable beauty and style guidance rather than aspirational or luxury-focused content.
The creator publishes consistently across a broad library of video content, suggesting an established production cadence. With a subscriber base in the mid-tier range and a cumulative view count exceeding 62 million, the channel has built measurable audience engagement within the French-speaking beauty community. The dual focus on makeup and fashion allows for cross-category brand partnerships, particularly with beauty product lines, cosmetics retailers, fashion accessories brands, and styling platforms that target francophone audiences.
Minute Beauté's estimated sponsorship rates
Minute Beauté's estimated sponsorship rate for integrated YouTube video placements ranges from $689 to $1,722, with a typical rate of $1,148. This estimate is based on the channel's 287,000 subscriber count combined with niche-specific CPM benchmarks for beauty content and YouTube's standard monetization multipliers.
The creator sits within the mid-tier audience classification, positioning rates competitively against peers of similar scale. Comparable beauty creators in the same subscriber range—including Asmaa secrets de beauté (285,000 subs), 오션 OCEAN (284,000 subs), and Emilia Ungureanu Makeup & Beauty School (305,000 subs)—operate within overlapping rate bands. Beauty content typically commands moderate CPM rates relative to finance or tech niches, though French-language content targeting European and North African markets may carry distinct advertiser demand patterns.
Rates are algorithmic estimates calibrated against subscriber count and category benchmarks; actual pricing may vary based on audience demographics, engagement metrics, video length, placement prominence, and brand-specific requirements. For detailed methodology, see the rates calculation framework on our methodology page.
Who should partner with Minute Beauté?
Minute Beauté's 287,000-subscriber base is primarily francophone, reflecting the channel's French-language tutorial format and beauty-focused content strategy. The audience composition skews toward individuals seeking practical, accessible beauty and fashion guidance—a demographic typically receptive to cosmetics brands, beauty tools, hair-care products, fashion accessories, and styling platforms.
Brand categories well-suited to this audience include makeup and cosmetics lines, hair-care and styling products, beauty tool retailers, fashion accessories brands, online fashion platforms, and beauty education services. The channel's emphasis on tutorials and how-to content suggests an audience actively seeking product recommendations and technique guidance, making it relevant for brands offering solutions in makeup application, hair styling, wardrobe building, and personal grooming.
The creator's positioning alongside peers such as TheFauxChanel Makeup (313,000 subs) and Byul Byul Beauty (268,000 subs) indicates a competitive landscape within the mid-tier beauty tutorial space. Minute Beauté's professional-and-enthusiast production model may appeal to brands seeking authentic, community-driven endorsements rather than celebrity-driven partnerships. Geographic and linguistic targeting data is not yet available; however, the French-language format suggests primary reach within France, Belgium, Switzerland, Canada, and other francophone regions.
Minute Beauté's growth and performance
Minute Beauté was first tracked on May 11, 2026, at 287,000 subscribers. The latest snapshot, also dated May 11, 2026, shows no change in subscriber count over this one-day observation window. This single-day span is insufficient to establish growth trends or trajectory. Average view counts for the last 30 days are not yet available in our dataset.
To assess meaningful growth patterns, longer-term historical data collection is required. Subscribers interested in this creator's growth trajectory should monitor future snapshots for subscriber velocity, view-rate trends, and content performance metrics.
How our pricing estimate works for Minute Beauté
Minute Beauté's estimated sponsorship rates are calculated algorithmically using a model that multiplies subscriber count by category-specific CPM (cost per thousand impressions) benchmarks, then applies platform and format multipliers. The beauty niche carries distinct CPM characteristics relative to other categories; YouTube integrated placements use standard video-monetization multipliers. The estimate is labeled as metric_estimate, indicating it is derived from subscriber count and niche calibration rather than direct community data (zero community data points contributed to this calculation).
This approach provides a data-driven baseline for rate expectations but does not account for individual creator variables such as audience demographics, engagement rates, video length, placement prominence, or brand-specific negotiation factors. Actual rates may differ materially. For a complete explanation of the algorithmic model, weighting factors, and adjustment variables, see the methodology page.