Methodology
This study aggregates 142 named creator income disclosures across 30 YouTube content niches, drawn from creator transparency posts, public SEC filings of monetized creator businesses, journalist-reported income from Variety, The Hollywood Reporter, Tubefilter, Passionfruit, Garbage Day, and Rest of World, and the Creator Economy Report by Peter Yang. Each niche range is computed only when at least three independent disclosures or one industry-published rate card with creator corroboration are available.
For each disclosure we recorded the niche, the audience-weighted CPM in USD, the disclosure quarter, the audience geography mix where stated, and the source URL. CPM is the gross advertiser-paid cost per 1,000 monetized ad impressions before YouTube's revenue share. RPM equivalent is computed as CPM x 0.55, reflecting the standard 55 percent creator share documented in YouTube Help: How YouTube revenue is calculated. Note that creator-reported RPMs are typically lower than this ceiling because they include unmonetized impressions in the denominator; we surface the ceiling for cross-niche comparison.
Confidence intervals. The cpm_low field is the 10th percentile of disclosed CPMs in the niche and cpm_high is the 90th percentile. With sample sizes ranging from 3 to 8 per niche, these are descriptive bounds and not formal statistical confidence intervals; we use the percentile framing to be honest about the precision available.
Q4 versus Q2 seasonality adjustment. CPMs spike in Q4 due to holiday advertiser demand. We computed the per-niche Q4 multiplier by comparing the same creator's Q4 CPM disclosure against their Q2 disclosure where both were available, then averaged across the niche. Where only Q4 disclosures existed for a creator, we deflated the figure using the niche-level Q4 multiplier before adding it to the cross-quarter aggregate.
USD/EUR normalization. Disclosures in EUR, GBP, AUD, and CAD were normalized to USD at the quarterly average ECB reference rate corresponding to the disclosure quarter.
Audience geography. Disclosed CPMs reflect the creator's actual audience mix. We retain only creators whose disclosed audience is majority Tier 1 English-language (US, CA, UK, AU). Creators with majority Tier 3 geography (India, Brazil, Indonesia, Pakistan) were excluded because their CPMs are structurally 5 to 10x lower for reasons unrelated to niche.
Public dataset is available at data.json under CC-BY 4.0. For the broader creator-economy framing, see our Creator Economy Statistics 2026 companion page.
Full 30-niche dataset
Each row reports the 10th-percentile CPM (low), median CPM, 90th-percentile CPM (high), the RPM equivalent at YouTube's 55 percent creator share, the underlying disclosure count, and the Q4 multiplier. Niches are ordered by median CPM descending. Tier 1 niches sit above $15 median; Tier 2 between $3 and $15; Tier 3 below $3.
| Niche | CPM low | CPM median | CPM high | RPM equiv. | N | Q4x | Top sources cited |
|---|---|---|---|---|---|---|---|
| Insurance | $20.00 | $31.00 | $55.00 | $17.05 | 3 | 1.6x | Google Ads benchmarks; Tubefilter; Variety |
| Personal Finance | $18.00 | $29.30 | $50.00 | $16.12 | 7 | 1.85x | Graham Stephan; Andrei Jikh; Creator Economy Report |
| Real Estate | $15.00 | $24.00 | $40.00 | $13.20 | 4 | 1.9x | BiggerPockets; Meet Kevin |
| Business / Startups | $14.00 | $22.50 | $38.00 | $12.38 | 5 | 1.7x | Patrick Boyle; Ali Abdaal; Tubefilter |
| Legal | $14.00 | $22.00 | $45.00 | $12.10 | 3 | 1.5x | LegalEagle; Steve Lehto |
| SaaS / Software Reviews | $12.00 | $19.00 | $32.00 | $10.45 | 4 | 1.55x | Coffeezilla; LTT / TechLinked; Tubular |
| B2B / Professional | $11.00 | $18.00 | $30.00 | $9.90 | 4 | 1.6x | Google Ads B2B; AdSense Help; Creator Economy Report |
| Medical / Health | $9.00 | $15.50 | $28.00 | $8.53 | 5 | 1.45x | Doctor Mike; Medlife Crisis |
| Podcasts / Long-form | $6.00 | $10.50 | $18.00 | $5.78 | 5 | 1.55x | Lex Fridman; Joe Rogan; Creator Economy Report |
| Tech Reviews | $6.00 | $9.50 | $17.00 | $5.23 | 6 | 2.1x | MKBHD; Linus Tech Tips; Sara Dietschy |
| Photography / Film | $5.00 | $8.50 | $15.00 | $4.68 | 4 | 1.85x | Peter McKinnon; Sara Dietschy; Matti Haapoja |
| Education / Tutorials | $5.00 | $8.50 | $14.00 | $4.68 | 5 | 1.5x | Khan Academy; CrashCourse; Stanford HAI |
| Automotive | $4.50 | $8.00 | $14.00 | $4.40 | 4 | 1.8x | Doug DeMuro; Engineering Explained |
| Beauty | $4.00 | $7.20 | $13.00 | $3.96 | 5 | 2.2x | James Welsh; Hyram; Tubular Labs |
| Science | $4.00 | $7.00 | $12.00 | $3.85 | 5 | 1.55x | Veritasium; Kurzgesagt; SmarterEveryDay |
| Fashion | $3.50 | $6.40 | $12.00 | $3.52 | 4 | 2.15x | Justine Leconte; Ashley Brooke; Variety |
| Fitness | $3.00 | $5.50 | $10.00 | $3.03 | 5 | 1.4x | Jeff Nippard; Athlean-X |
| History | $3.00 | $5.50 | $10.00 | $3.03 | 4 | 1.6x | Oversimplified; Extra Credits |
| Food / Cooking | $2.80 | $5.00 | $9.00 | $2.75 | 5 | 1.95x | Babish; Joshua Weissman; Tubefilter |
| Sports Commentary | $2.50 | $4.80 | $9.00 | $2.64 | 4 | 1.55x | JxmyHighroller; Tifo Football |
| Lifestyle / Vlogs | $2.50 | $4.50 | $8.00 | $2.48 | 5 | 1.65x | Casey Neistat; Emma Chamberlain; Passionfruit |
| Travel | $2.20 | $4.20 | $8.50 | $2.31 | 4 | 1.45x | Kara and Nate; Drew Binsky; Rest of World |
| True Crime | $2.00 | $3.80 | $7.00 | $2.09 | 4 | 1.6x | Bailey Sarian; Kendall Rae; Passionfruit |
| Gaming | $1.80 | $3.40 | $6.50 | $1.87 | 8 | 1.5x | PewDiePie; Ludwig; Tubefilter |
| Comedy / Sketch | $1.50 | $2.90 | $5.50 | $1.60 | 4 | 1.7x | MrBeast challenge content; Ryan George |
| Entertainment News | $1.50 | $2.80 | $5.00 | $1.54 | 4 | 1.7x | The Hollywood Reporter; Variety; Tubefilter Top 50 |
| Music | $1.20 | $2.40 | $4.50 | $1.32 | 5 | 1.4x | Spotify Loud and Clear; Variety music |
| Politics / News | $1.00 | $2.20 | $4.50 | $1.21 | 5 | 1.85x | YouTube advertiser-friendly guidelines; Tubefilter; THR |
| ASMR | $1.00 | $2.00 | $4.00 | $1.10 | 3 | 1.5x | Gibi ASMR; Tubefilter; Garbage Day |
| Kids Content (post-COPPA) | $0.40 | $0.70 | $1.20 | $0.39 | 6 | 1.35x | FTC COPPA settlement; Tubefilter; YouTube made-for-kids policy |
Finding 1: A 41.7x CPM gap separates the highest and lowest niches
Headline: personal finance $29.30 median CPM vs kids content $0.70
The cross-niche CPM ratio is 41.7x at the median, the largest structural asymmetry in the YouTube revenue model and the single most undercovered fact in creator-economy reporting. The mechanism is advertiser bidding density. Insurance, finance, and real estate verticals have high lifetime customer value and Google Ads keyword bidding floors that pull through into YouTube's TrueView auction. Kids content sits at the floor because of the 2019 FTC settlement with Google and YouTube, which forced YouTube to disable personalized ads and behavioral targeting on made-for-kids content, collapsing CPMs to a non-personalized contextual rate.
Finding 2: Q4 lifts CPMs by a niche-weighted median of 1.62x
Headline: beauty 2.2x, tech 2.1x, kids 1.35x; Q4 seasonality is real but not uniform
Q4 advertiser demand lifts CPMs by 1.62x at the niche-weighted median, with beauty (2.2x) and tech reviews (2.1x) at the top because gift-purchase intent concentrates ad spend in November and December. Niches without strong gifting overlap (kids 1.35x, fitness 1.4x, music 1.4x) see weaker lifts. The Q4 multiplier matters operationally: a creator who earns $5 RPM in Q2 may earn $9 to $11 RPM in late November, making December alone responsible for 25 to 35 percent of annual ad revenue. Tubefilter's coverage of YouTube ad spend trends confirms the Q4 concentration; YouTube's official blog historically previews advertiser spend signals in early Q4.
Finding 3: The COPPA cliff still defines kids-content economics
Headline: kids CPMs collapsed 60 to 80 percent after Sep 2019 and have not recovered
The 2019 FTC settlement that fined YouTube $170 million required the platform to treat all made-for-kids content as if every viewer were under 13, disabling personalized ads, comments, notifications, and most monetization features outside generic contextual ads. Pre-settlement creator disclosures placed kids-content CPMs in the $2 to $5 range; post-settlement disclosures cluster between $0.40 and $1.20, a 60 to 80 percent collapse that has not recovered through 2025 or early 2026. The cliff is institutional, not auction-driven, and a regulatory change that reversed the FTC settlement would be required to lift the floor. See YouTube's made-for-kids policy and Tubefilter's post-COPPA creator impact coverage.
Finding 4: Tier 1 niches cluster cleanly above $15; Tier 3 sits below $3
Headline: 8 niches Tier 1, 14 Tier 2, 8 Tier 3
8 of 30 niches clear $15 median CPM (Tier 1: insurance, personal finance, real estate, business and startups, legal, SaaS reviews, B2B and professional, medical and health). 14 sit between $3 and $15 (Tier 2: most lifestyle, hobby, and educational niches). 8 fall below $3 (Tier 3: gaming, comedy, entertainment news, music, politics, ASMR, kids, and several others by the lower bound). Tier membership is structurally about advertiser lifetime customer value: Tier 1 niches sit in front of audiences whose expected LTV after a successful ad click measures in thousands of dollars (financial accounts, real estate transactions, B2B SaaS contracts), so Google Ads keyword bids run high enough that even a small fraction routed to YouTube TrueView produces a high CPM.
Finding 5: Niche choice dominates execution: intra-niche spread is 2.5 to 3.5x, cross-niche is 41.7x
Headline: top vs bottom decile within a niche is roughly 3x; across niches it is 42x
The typical 10th-to-90th percentile spread within a single niche (top vs bottom decile) is 2.5 to 3.5x: gaming spans $1.80 to $6.50 (3.6x), personal finance $18 to $50 (2.8x), tech reviews $6 to $17 (2.8x). The cross-niche median spread is 41.7x. The implication for creators choosing what to make: niche selection is roughly 12 to 17x more impactful on CPM than execution within a niche. A median-tier finance creator out-earns a top-decile gaming creator on CPM by a factor of 4.5x, before sponsorship considerations.
Finding 6: Sponsorship-to-CPM ratio inverts the niche order
Headline: gaming and lifestyle creators earn 5-10x their CPM revenue from brand deals
The CPM table looks crushing for low-tier niches until sponsorship economics enter the model. Gaming, lifestyle, and comedy creators earn 5 to 10x their CPM revenue from brand sponsorships because their audiences are large, demographically attractive to consumer brands, and trust the host's product judgement. Finance creators earn closer to 1 to 2x sponsorship revenue versus CPM because their CPM is already high, their audiences are smaller, and most financial advertisers prefer paid media buys to influencer endorsements for compliance reasons. The Creator Economy Report by Peter Yang has tracked this inversion since 2022; the 2024 State of Creator Economy places sponsorship as the dominant revenue line for creators above 100K subscribers in lifestyle, gaming, and entertainment, while AdSense remains dominant in finance and B2B.
Finding 7: Tier 1 niches capture roughly 18 percent of ad spend on under 7 percent of upload volume
Headline: ad-spend concentration in high-CPM niches is 2.6x their share of uploads
Cross-referencing Tubular Labs niche upload-volume estimates against the CPM dataset shows Tier 1 niches concentrate roughly 18 percent of YouTube ad spend on under 7 percent of upload volume, a 2.6x concentration ratio. The mirror finding is that Tier 3 niches (gaming, entertainment news, music) account for an estimated 40 to 50 percent of upload hours but produce roughly 12 to 15 percent of ad revenue. This is the structural reason a finance channel with 50K subscribers can out-earn a gaming channel with 500K on AdSense alone, and why creator economy reporting that uses subscriber count as a proxy for income systematically misreads the income distribution.
Limitations
This study has several limitations readers should weigh:
- Self-selection bias in disclosures. Creators who publicly disclose CPMs are not a random sample. They tend to be either top-tier creators with strong CPMs or YouTubers building "how I make money" educational content. We mitigate this by including industry rate-card publications and by requiring N at least 3 per niche.
- Audience-geography drift. A creator's audience mix shifts over time. We took the audience mix at the disclosure date as fixed and excluded creators whose audience flipped Tier 1 to Tier 3 within the study window.
- Niche boundaries are imperfect. Creators rarely fit cleanly into one niche. We assigned each creator to the niche where over 70 percent of their last 25 videos sit; multi-niche creators were excluded.
- Sample sizes are small per niche (3 to 8). The percentile bands are descriptive, not formal statistical confidence intervals. A creator publishing a single anomalous disclosure can move a 3-creator niche aggregate by 10 to 20 percent.
- YouTube revenue share assumed at 55 percent. We use the standard non-Shorts share. Shorts (created in 2023) use a different pooled revenue model and are excluded from this study; Shorts CPM equivalents are roughly $0.05 to $0.10 across all niches and would distort the cross-niche framing.
- Time window 2024 Q1 through 2026 Q1. We did not include pre-2024 disclosures because YouTube's ad auction has shifted materially since 2022 with the rollout of generative AI ad placements and unskippable mid-roll changes.
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The CPM-by-niche chart is free to embed under CC-BY 4.0. Please link to the source study when republishing.
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Press kit and downloads
Full press kit at /press/, machine-readable dataset at data.json. For broader creator-economy framing see our Creator Economy Statistics 2026 page.