Professor Leonard

About Professor Leonard

Professor Leonard operates a mathematics education channel on YouTube with 1,170,000 subscribers and 94,260,922 total views across 1,212 published videos. The channel positions itself as a free resource for quality mathematics instruction, with content organized into course-specific playlists. According to the channel description, the creator emphasizes accessibility and relies on viewer support through Patreon and ad-revenue sharing to fund ongoing video production.

The channel's approach centers on structured, playlist-based learning rather than algorithmic discovery—a deliberate design choice that reflects educational rather than entertainment priorities. With over 94 million total views accumulated across more than 1,200 videos, the channel demonstrates sustained audience engagement in a niche that typically requires consistent, high-effort content production. The creator explicitly requests viewer support through multiple channels: Patreon subscriptions, ad-revenue allowlisting (disabling ad blockers), and implicit encouragement of platform engagement. This multi-channel monetization strategy is common among educational creators whose content serves students and educators seeking structured, curriculum-aligned material rather than viral entertainment.

Professor Leonard's estimated sponsorship rates

Professor Leonard's estimated sponsorship rate for integrated YouTube video placements ranges from $1,853 (low) to $4,633 (high), with a typical rate of $3,089. This estimate is derived from the channel's 1,170,000 subscriber count combined with algorithmic modeling of education-niche CPM (cost per thousand impressions) and YouTube format multipliers. The rate places the creator in the high audience tier, reflecting both raw subscriber volume and the niche composition of the education category.

Education creators typically command CPM rates that vary significantly based on audience geography, viewer intent, and advertiser demand. Mathematics education content attracts institutional buyers (edtech platforms, tutoring services, test-prep companies) alongside consumer-facing advertisers, which can elevate rates relative to pure entertainment channels of similar size. Peer creators in the same niche—including STUDY 4U (1,180,000 subscribers), El Profe Grillo de las Matemáticas (1,120,000 subscribers), and GreatStack (1,230,000 subscribers)—operate at comparable scale, though individual rates depend on audience geography and engagement metrics not fully captured in subscriber count alone.

The estimate reflects algorithmic calibration without direct community data from sponsored campaigns; actual rates may vary based on campaign length, exclusivity terms, and advertiser category. See our /methodology page for details on how estimates are calculated.

Who should partner with Professor Leonard?

Professor Leonard's 1,170,000 subscribers represent a consolidated audience in mathematics education, likely spanning high school and early undergraduate levels based on typical course-structure playlists. The 94,260,922 total views indicate cumulative reach well beyond the active subscriber base, suggesting the channel also captures search-driven traffic from students seeking specific topic explanations or exam preparation.

Brand categories aligned with this audience include: edtech platforms and learning management systems, test-preparation services (SAT, ACT, AP exams), tutoring and supplemental education providers, mathematics software and graphing-calculator manufacturers, and institutional education technology vendors. Secondary opportunities exist in productivity software, note-taking applications, and student-focused financial services (student loans, education savings accounts).

The audience composition likely skews toward students in formal education systems (high school and early college) and educators seeking supplementary classroom resources. This differs from entertainment-focused education channels; Professor Leonard's viewers are typically seeking structured, curriculum-aligned content rather than casual learning. Peer audiences in the same tier—such as STUDY 4U and GreatStack—show similar institutional and student-focused demand patterns. The free-access model and Patreon support structure indicate an audience willing to engage with educational content without paywall friction, which appeals to budget-conscious student demographics and institutional buyers seeking cost-effective supplementary resources.

Professor Leonard's growth and performance

We have only a single snapshot of subscriber data, recorded on 2026-05-12 at 1,170,000 subscribers, with no prior tracking history to establish growth velocity. The span between first and latest tracked data is 1 day with zero net subscriber change. Average view counts for the last 30 days are not yet available. Without historical data across multiple time periods, we cannot characterize growth rate, acceleration, or seasonal patterns. To establish meaningful growth analysis, we would need snapshots spanning weeks or months. Readers interested in tracking this creator's trajectory should monitor future updates to this profile.

How our pricing estimate works for Professor Leonard

The estimated sponsorship rate is calculated algorithmically based on subscriber count (1,170,000), niche CPM modeling for the education category, and YouTube video format multipliers. The estimate does not rely on direct community data from actual sponsored campaigns; instead, it applies a standardized formula calibrated to education-niche benchmarks. The low, typical, and high range reflects variance in CPM based on audience geography, viewer intent signals, and advertiser competition within the education space. For a detailed explanation of how CPM is estimated, how format and platform multipliers are applied, and how confidence intervals are set, see our /methodology page. Note that actual rates depend on factors beyond subscriber count—including audience location, engagement metrics, content category specificity, and campaign terms—and may differ from algorithmic estimates.