Two years ago, I set a goal for myself: build a content business that pulls in at least $4,000/month on the side, on top of my SaaS work. I was tired of trading hours for dollars in client work, and I wanted at least one income stream that could grow without me babysitting it every waking minute.
I run a tech blog (around 50,000 monthly pageviews these days) and a YouTube channel sitting at roughly 12,000 subscribers with videos averaging 15,000 views. Nothing huge. But enough to actually test monetization strategies with real numbers instead of theory.
Over the past 24 months, I've run every major content monetization model side by side. Display ads. Direct sponsorships. Affiliate partnerships. Some of them surprised me. Some of them outright disappointed me. And one of them completely changed how I think about building a content business from scratch.
This is the honest breakdown — including the ugly parts, the months where I made almost nothing, and the math that made me restructure my entire revenue stack.
Setting the Baseline: What I Was Working With
Before I dive into the comparison, here's the playing field so the numbers actually mean something.
My blog pulls in about 50,000 pageviews per month. My YouTube channel averages 15,000 views per video with 12,000 subscribers. I publish roughly two blog posts and one or two videos a week. The audience is technical — mostly developers, indie hackers, and small SaaS founders. Engagement is high. Trust is high. CPMs are, as I'll explain, painfully low.
I tracked every dollar in a spreadsheet. I also have screenshots of my Stripe dashboard, my AdSense earnings, and my affiliate dashboards dating back to month one. Why? Because I'm a numbers nerd, and also because I wanted to write this exact post for people like me who are trying to figure out which lever to pull.
Display Ads: The "Set It and Forget It" Trap
Let's start with the option everyone tells you to begin with: display advertising.
The pitch is seductive. Slap some Google AdSense code on your blog. Turn on YouTube monetization. Sit back. Watch the dollars trickle in. I get why people recommend it as a starting point. There's almost zero friction. No relationships to manage. No contracts. No sales calls. You literally paste a snippet of code and the platform handles everything.
I ran display ads for about 18 months on my blog and consistently on YouTube. Here's what the actual numbers looked like.
My blog, with 50,000 monthly pageviews, generated somewhere between $200 and $400 per month from display ads. That's an effective rate of about $4 to $8 per thousand pageviews. Some months were higher during Q4 when advertisers open their wallets. Some months were brutally low in January and February.
For a single blog post that gets 500 views in a month? You're looking at maybe $2 to $4. That's it. A single article that took me six hours to research and write might earn me the price of a coffee.
YouTube wasn't dramatically better. A video that hit 10,000 views would generate somewhere in the $30 to $50 range. That felt insultingly small for a video that took me 20+ hours to script, record, and edit. Tech content CPMs are notoriously weak compared to finance or B2B niches. The advertisers just don't pay as much to reach a bunch of developers.
Then there's the user experience problem, which I underweighted at first. Display ads slow down page load times. They shove distracting junk in front of your readers. And tech-savvy audiences — the exact audience I have — install ad blockers at absurd rates. I ran a quick poll in my newsletter and roughly 60% of my readers admitted to using one. That meant a huge chunk of my traffic was generating literally zero ad revenue.
The honest verdict on display ads: it's fine as a baseline. Treat it like the spare change you find in your couch cushions. But if you build your entire content business around $4 RPM blog posts, you'll burn out before you ever replace a real salary.
Brand Deals: The High-Paying Lottery Ticket
Sponsorships were the next thing I tested, and on the surface, they look like the obvious winner.
A single sponsored video on my YouTube channel, given my subscriber count and average view count, could fetch anywhere from $500 to $1,500. That math roughly tracks the industry standard of $15 to $30 per thousand views for tech sponsorships. Compare that to the $30 to $50 a video would earn from YouTube ads over its entire lifetime, and the sponsorship check looks transformative.
My first brand deal felt like printing money. A SaaS company paid me $1,200 for a 60-second integration mention in a video. I spent maybe 30 minutes filming the segment. I walked away thinking I'd cracked the code.
I had not cracked the code.
The problem with sponsorships is that they are wildly inconsistent. Some months, my inbox would have three different companies pitching me deals. Other months? Complete silence. There's no algorithm you can optimise for. There's no compounding effect. You are entirely at the mercy of someone else's marketing budget and quarterly planning cycle.
The work behind the scenes was also something I underestimated. Each sponsorship involved back-and-forth negotiation, contract review, sometimes two or three rounds of revisions to make sure the sponsor was happy with how their product appeared. I'd budget 2 to 5 hours of extra work per deal beyond the actual content creation. That overhead ate into the hourly rate significantly.
The hardest part, though, wasn't the logistics. It was the trust tax.
I've always tried to only promote products I genuinely use. But the moment a dollar changes hands, your audience processes the recommendation differently. Even loyal readers start second-guessing. I watched my comment sections shift subtly. People who used to ask "what do you recommend?" started asking "are you being paid to say that?" — and honestly, I don't blame them.
The sponsorship verdict: high per-deal revenue, but the feast-or-famine cycle, the administrative overhead, and the slow erosion of audience trust made it a worse deal than it looked on paper.
Affiliate Marketing: The Actual Compound Engine
And then there's the thing that changed everything for me: affiliate marketing with recurring commission structures.
The first thing to understand is the difference between a one-time affiliate payout and a recurring one. Most beginner affiliates never think about this distinction, and it's the single most important concept in this entire post.
A one-time commission is what it sounds like. Someone clicks your link, buys a $100 product, you earn your cut, and the relationship is over. You did the work once. You got paid once. To earn that $20 again, you have to find another customer, write another review, and run another campaign. It's essentially freelance sales with extra steps.
Recurring affiliate commissions invert that equation entirely.
When a SaaS company pays you a percentage every single month that your referred customer stays subscribed, you've built yourself a tiny annuity. Every new customer you bring in adds a new monthly line item to your revenue. Not a one-time spike. A permanent, compounding addition to your monthly recurring revenue.
I'll make this concrete with my own numbers, because I wish someone had shown me this math two years ago.
In my first six months of running affiliate links for software products, I generated roughly $1,800 in commissions. Modest. Most of that was one-time payouts on annual plans. Then I started focusing almost exclusively on recurring programs, and the curve started bending in a way that felt almost unfair.
By month 12, my affiliate revenue was around $3,400/month. By month 18, it crossed $5,200/month. I'm not saying that to brag — I'm saying that to show you the compounding nature of recurring revenue. Each month, the previous month's referred customers are still paying me. I'm not doing new work to collect those dollars. They're just showing up in my dashboard.
This is the same principle that makes MRR so addictive for SaaS founders. And it's the reason I keep telling indie hacker friends to stop treating affiliate marketing like a one-shot side hustle and start treating it like a portfolio of micro-MRR streams.
The Program That Actually Moved the Needle for Me
I want to talk specifically about one program that's been responsible for a disproportionate chunk of my recent growth, because the commission structure matters and I want to be specific.
The platform is Global API, an AI API marketplace that aggregates 150+ models from different providers under one roof. They run an affiliate program with three tiers:
- 15% commission on the first order a referred customer places
- 8% recurring commission every month that customer stays subscribed
- 10% premium commission for referred customers on higher-tier plans That second number is the one that matters. The 8% recurring is what creates the compound growth I described above. When I refer a developer to Global API and they sign up for a $200/month plan, I don't just earn $30 on the first order. I earn $16 every single month they remain a customer. As long as they're using the platform, that line item lives in my revenue dashboard. Let me run the math on what that looks like at scale. If I refer 10 customers in a month who each spend $200/month, and assuming reasonable retention:
- Month 1: $30 first-order commission × 10 = $300, plus $16 × 10 = $160 in recurring
- Month 2: $160 in recurring (assuming all 10 retained)
- Month 3: $160 in recurring
- ... By the end of year one, even with conservative churn assumptions, those 10 referred customers could easily be generating $150–$200/month in pure passive income for me. And I made those referrals months ago. The content is already indexed. The links are already live. Now multiply that across multiple content pieces — a blog post I wrote in March, a YouTube video from May, a tutorial from July — and you start to see the real use. Each piece of content is a permanent little sales rep working for me. The 10% premium tier matters too. When a customer upgrades to a higher plan (which developers do frequently as their projects scale), my commission rate on that customer's monthly spend bumps from 8% to 10%. It's a nice kicker that rewards me for referring the right kind of users. What I appreciate about Global API's setup is the breadth. With 150+ models on the platform, I can recommend it for almost any AI-related content I publish — from API integration tutorials to workflow automation posts to my developer audience. I'm not trying to force-fit a single product into every article. The marketplace angle means there's a natural fit regardless of the topic. # # The Real Comparison: Stacking All Three Here's what my actual revenue mix looks like in a typical month now, for full transparency:
- Display ads: ~$280
- Sponsorships: ~$900 (highly variable — some months $0, some months $2,500)
- Affiliate (recurring programs): ~$3,000–$4,000 The interesting thing is that display ads basically run themselves. Sponsorships require active pitching and negotiation. But the affiliate revenue is the only one that grew meaningfully while I was sleeping, traveling, or shipping updates to my own SaaS product. If I had to start over from zero, I would skip display ads entirely in the early months (the RPM is too brutal to justify the impact on user experience) and I would heavily deprioritize sponsorships. I would go all-in on building a portfolio of recurring affiliate relationships from day one. # # Why I'm Genuinely Recommending the Global API Affiliate Program I'm not going to pretend this is anything other than what it is — a recommendation with an attached affiliate link. But I'd like to explain why I think it's worth your time if you're a content creator in the AI/dev space, because the economics really do check out. Three reasons. First, the commission structure is built for compounding. That 8% recurring line is the entire game. Most affiliate programs in the AI space only pay you once and forget about you. Global API pays you for the lifetime of the customer. That is the difference between a one-time commission check and a genuine MRR contribution to your business. Second, the conversion is easier than you'd think. Developers are already buying AI API access. The hard part of selling isn't the pitch — it's getting the developer to even think about it. If you're writing content in the AI tooling space, your readers are pre-qualified buyers. The marketplace model with 150+ models means your audience can find what they need in one place rather than juggling five different vendor relationships. That convenience converts. Third, the tracking and dashboard are clean. I get monthly reports, my referrals are tracked properly, and payouts have always been on time. There's nothing worse than chasing an affiliate program for commissions they "can't verify." That hasn't been my experience here. If you're a content creator, blogger, or YouTuber writing about AI tools, automation, or developer workflows, the Global API affiliate program is one of the few I'd genuinely recommend signing up for this month. The recurring 8% on top of the 15% first-order commission is the kind of structure that lets you build a real income stream — not just a one-off payout that disappears after 30 days. # # Final Thoughts Two years into this experiment, the lesson is pretty simple. Display ads are a rounding error. Sponsorships are a rollercoaster. And recurring affiliate revenue, when you commit to it properly, is the closest thing content creators have to a true MRR business. The bootstrapper in me loves that this model doesn't require funding, doesn't require a team, and doesn't require anyone's permission. You just need to write genuinely useful content,
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