Sam Doshi
Founder, RevenueLab
Sam is the founder of RevenueLab. He builds the calculators, runs the benchmarks, and writes the long-form guides on this site. Every page is written or reviewed by Sam personally — no ghostwriters, no contractor mills, no AI-generated bylines. If a number on this site is wrong, it's his fault, and you can tell him directly via the contact page.
Areas of expertise
- YouTube monetization
- Creator economy
- SaaS unit economics
- Ecommerce & DTC
- Freelance pricing
Articles by Sam
We pulled RPM ranges across 60 countries and ran the numbers on why tier-1 markets pay 10× tier-3, what creators in each region actually clear, and the structural reasons CPMs land where they do.
The two highest-leverage moves to grow YouTube revenue without more views — shift to higher-CPC sub-niches for 3–5× RPM, and run an outbound sponsor pipeline using these copy-paste scripts.
Sponsorship CPM ranges across YouTube, TikTok, Instagram, and newsletters — pulled from 400+ disclosed deals — plus the integration depth, exclusivity, and audience-quality multipliers that actually move the number.
A from-the-ground-up breakdown of the Shorts ad-pool math — what creators are actually clearing per million Shorts views by niche and country, why the spread is 10×, and where Shorts fit in a serious channel P&L.
Every YouTube monetization threshold in 2026 — YPP Lite at 500 subs, full Partner Program at 1,000, Shorts pathway, payment schedule, and the 4 most common rejection reasons.
A breakdown of typical YouTube RPM ranges across 12 niches — from finance and B2B SaaS at the top to gaming and entertainment at the bottom — and the levers that move them.
A step-by-step framework for pricing freelance work — covering desired salary, real billable hours, business expenses, and the markup most freelancers forget.
What ratios investors look for, why 3:1 isn't always the right target, and how payback period interacts with LTV:CAC across PLG, SMB, and enterprise SaaS.
Median Shopify conversion rates by vertical, the metrics that matter more than CR (AOV, repeat rate, contribution margin), and a teardown of why most stores miss their forecast.
A structured approach to modeling ROAS before scaling Google Ads — break-even CPA, gross-margin-adjusted ROAS, and the assumptions most spreadsheets get wrong.
How the Shorts revenue-share pool is calculated, what RPMs creators are actually seeing, and where Shorts fit alongside long-form for serious channel revenue.
Referral fees, FBA fulfillment, storage, returns, and ad spend — the line items that turn a 'profitable' Amazon SKU into a money loser, and how to model them honestly.
How paid newsletters actually pencil — conversion rates from free to paid, churn assumptions, and when sponsorship-led models out-earn subscription-led ones.
The four agency pricing models compared on margin, scalability, client risk, and team economics — with a framework for choosing the right one at each stage.
A framework for choosing a SaaS pricing model — when per-seat caps your growth, when usage-based makes revenue volatile, and how hybrid models stitch the two together.
Real-world sponsorship rate ranges by audience size and platform — plus how integration depth, exclusivity, and usage rights move the number up or down.