Graham Stephan
@grahamstephan
As a 34 year old real estate investor who started working in real estate shortly after turning 18, with over $120,000,000 in residential sales since 2008, I've created this channel to share my successes, failures, and experiences in real estate, personal finance, and investing news. I'm also obsessed with frugality and credit card churning...a lot. So Subscribe! Because all the cool kids are doing it. Feel free to follow me on Snapchat / Instagram: GPStephan
5.17M
Subscribers
1.4B
Total views
1.59K
Videos
364.5K
Avg views (recent)
8-video sample · 2026-06-13
Estimated rate · Integrated video
Avg views · niche CPM · High confidenceLow
$10,205
Typical
$12,756
High
$18,223
- Niche CPM
- $28–50anchor $35
- Avg views
- 364,458per recent video
- Format mult
- 1.00×
- Exclusivity
- No exclusivitybaseline
Estimated · benchmark only · not claimed by creator. How this works →
Influence profile
Display only · not a price input- Size tier
- Mega (1M+)
- Activity
- Healthyratio 0.070 · n=8
- Niche
- Real Estate
- Country · language
- United States
- US equities coverage
- Not flagged
- SEC §17(b) disclosure
- Not assessed
About Graham Stephan
Graham Stephan operates a real estate and personal finance education channel with 5.16 million YouTube subscribers and over 1.39 billion total views across 1,546 published videos. Based in the United States, Stephan positions himself as a practitioner-educator, drawing on documented experience in residential real estate sales exceeding $120 million since 2008. His channel content spans real estate investment strategy, personal finance principles, investing news analysis, and credit card optimization tactics—areas he describes as central to his professional focus and personal interests.
The channel's scale places it among the largest real estate education creators on YouTube. Stephan's stated approach emphasizes sharing both successes and failures from his real estate career, framing the channel as a resource for viewers interested in residential property investment and financial optimization. His secondary focus on credit card churning and frugality strategies reflects a niche within personal finance that attracts a specific audience segment. The channel's 1.39 billion cumulative view count indicates sustained audience engagement over its operational history, though granular view velocity data is not yet available in our tracking system.
Graham Stephan's estimated sponsorship rates
Graham Stephan's estimated sponsorship rate for integrated YouTube video placements ranges from $10,403 (low) to $26,006 (high), with a typical rate of $17,338 per video. This pricing reflects his audience tier classification and the economics of real estate and finance content on YouTube.
Several factors support this rate structure relative to peer creators in the real estate niche. Stephan's 5.16 million subscriber base substantially exceeds most direct competitors—BiggerPockets operates at 1.26 million subscribers, while Noelle Randall and Vlog do Rodrigão each maintain audiences around 1.06-1.16 million. This 4-5x subscriber advantage creates proportionally higher reach for brand integrations. Real estate and personal finance content typically commands moderate-to-strong CPM rates due to audience purchasing power and brand relevance to financial services, investment platforms, and property-tech companies. The estimate is algorithmic and does not incorporate community-reported rates or direct negotiation data; actual rates may vary based on campaign specifics, audience geography, and advertiser requirements. Refer to our methodology page for the precise calculation framework.
Who should partner with Graham Stephan?
Graham Stephan's audience consists primarily of individuals interested in residential real estate investment, personal finance education, and wealth-building strategies. The 5.16 million subscriber base reflects appeal across multiple related segments: aspiring real estate investors, current property owners seeking optimization tactics, personal finance enthusiasts, and credit card optimization practitioners.
Brand categories well-aligned with this audience include real estate platforms and marketplaces, mortgage and lending services, property management software, investment education providers, personal finance applications, credit card issuers and rewards programs, and fintech platforms targeting real estate professionals. The secondary finance category indicates crossover appeal to broader investing and wealth management content consumers. Relative to peer creators like BiggerPockets (1.26 million subscribers), which operates a multi-format real estate education ecosystem, Stephan's channel maintains a more focused creator-led format centered on his personal experience and commentary. This positioning attracts audiences valuing individual practitioner perspectives over institutional educational frameworks. The emphasis on credit card churning and frugality within personal finance represents a distinct sub-niche that differentiates the channel's appeal within the broader real estate and finance creator landscape.
Graham Stephan's growth and performance
Our tracking system initiated monitoring of Graham Stephan's channel on May 12, 2026, at 5.16 million subscribers. The latest snapshot, recorded on the same date, shows no change in subscriber count over this one-day observation window. This single data point provides insufficient basis for growth-rate analysis. Historical growth trajectory, seasonal patterns, and longer-term subscriber velocity remain unavailable in our current dataset. Continued tracking will establish whether the channel maintains, accelerates, or decelerates subscriber acquisition over subsequent measurement periods.
How our pricing estimate works for Graham Stephan
The estimated sponsorship rate is calculated algorithmically using subscriber count, niche-specific CPM benchmarks, and platform/format multipliers. The model does not incorporate actual negotiated rates, historical campaign data, or community-reported pricing; it represents a data-driven estimate based on observable channel metrics and real estate finance content economics. The estimate's basis is metric-derived, meaning it relies on channel dimensions rather than direct advertiser feedback. Our methodology page provides detailed documentation of the calculation framework, including CPM assumptions, multiplier logic, and confidence intervals. Rates may vary significantly based on audience geography, engagement metrics, content category, campaign duration, and advertiser-specific requirements.