Laufey
@laufey
Laufey (pronounced lay-vay) has captivated a generation with virtuosic songs of love and self-discovery by manifesting her vision of jazz-and classical-infused pop music. She has become a bridge for the older music she adores, from Chet Baker to Carole King to Ravel, by offering her bold interpretation to a younger crop of listeners who have become deeply connected over time. Raised between Reykjavik and Washington, D.C., she learned piano and cello as a child, later studying at Berklee College of Music. There, she wrote her debut EP, 2021’s Typical of Me, whose striking single “Street by Street” debuted at No. 1 on Icelandic Radio—the first of many achievements that have grown to include two GRAMMY® Awards, 5 billion global streams, a social media audience of 25 million, the biggest jazz LP debut in Spotify history and an album in Billboard’s Top 5, a growing pile of Platinum plaques, a Forbes 30 Under 30 designation, and being named one of TIME’s 2025 Women of the Year.
3.42M
Subscribers
1.22B
Total views
537
Videos
—
Avg views (30d)
as of 2026-05-11
Integrated video price
Algorithmic estimateLow
$3,201
Typical
$5,335
High
$8,003
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, $3,201 – $8,003 per integrated placement. No community data points yet. See methodology →
About Laufey
Laufey is a classically trained singer-songwriter who has built a YouTube presence of 3.42 million subscribers through a distinctive fusion of jazz, classical, and pop music. Raised between Reykjavik and Washington, D.C., she studied piano and cello from childhood before attending Berklee College of Music, where she developed the artistic foundation for her debut EP Typical of Me (2021). Her work bridges generational listening habits by reinterpreting influences ranging from Chet Baker and Carole King to Maurice Ravel for contemporary audiences. Her channel has accumulated 1.22 billion total views across 537 published videos, reflecting sustained engagement with her catalog of original compositions and interpretations. The specificity of her musical identity—virtuosic instrumental arrangements paired with introspective songwriting about love and self-discovery—has differentiated her within the crowded music streaming landscape. Her trajectory illustrates how niche classical-adjacent production can achieve mainstream YouTube scale when paired with consistent output and a clearly articulated artistic vision.
Laufey's estimated sponsorship rates
Laufey's estimated sponsorship rate for an integrated YouTube video ranges from $3,201 to $8,003, with a typical rate of $5,335. This positioning reflects her subscriber base of 3.42 million and classification within the high audience tier. Her rate sits in the upper-middle range relative to direct peers: ACV Entertainment (3.44M subs), SBM (3.46M subs), 周杰倫 Jay Chou (3.38M subs), Kuya Magik (3.3M subs), and MERO (3.56M subs) operate at comparable scale. The rate estimate is algorithmic and does not yet incorporate community-sourced deal data; as more sponsorship transactions are reported by creators and brands, the estimate will refine. Music category creators typically command rates influenced by audience CPM, which varies significantly by geography, listener demographics, and brand vertical. Laufey's classical-and-jazz-inflected positioning may attract premium-tier brands in luxury goods, financial services, and music education, which historically pay above-category averages. Actual rates depend on deliverables (video length, placement prominence, exclusivity terms) and negotiation.
Who should partner with Laufey?
Laufey's 3.42 million subscribers represent a high-tier music audience with demonstrated affinity for instrumental sophistication and introspective songwriting. Her content appeals to listeners aged roughly 16–35 with above-average education levels and interest in classical music, jazz history, and contemporary pop production. This demographic typically engages with brands in several verticals: music education platforms and instrument retailers (piano, cello, music theory software); streaming services and music discovery apps; luxury consumer goods and lifestyle brands targeting affluent, culturally engaged audiences; and financial services or investment platforms that use classical music or intellectual positioning in their marketing. Her peers—ACV Entertainment, SBM, and MERO—operate in overlapping music spaces but with different regional and stylistic emphases, suggesting that Laufey's niche within the broader music category is defensible. Sponsorship opportunities align best with brands seeking association with artistic credibility, technical mastery, and emotional authenticity rather than viral or trend-driven content.
Laufey's growth and performance
Laufey's subscriber count was 3.42 million on the first tracked date (May 11, 2026) and remained at 3.42 million on the latest snapshot (May 11, 2026), a span of one day with zero net change. This single-day observation window is insufficient to characterize growth trajectory. Historical view-count data over the past 30 days is not yet available in our system. Longer-term growth patterns and seasonal fluctuations cannot be assessed from current data. As additional snapshots accumulate, InfluencerUnion will be able to report monthly and annual growth rates, subscriber velocity, and engagement trends.
How our pricing estimate works for Laufey
Laufey's estimated sponsorship rate is calculated algorithmically using her subscriber count (3.42 million), niche category (music), and platform-specific multipliers for YouTube video integrations. The formula applies a category-level CPM estimate adjusted for audience tier, geography, and format. The estimate is not based on reported sponsorship deals; we have zero community data points for this creator. As brands and creators report actual rates to InfluencerUnion, the estimate will be recalibrated toward observed market prices. For a detailed explanation of the pricing model, multipliers, and confidence intervals, see our /methodology page.