I track every dollar my content earns. Not metaphorically. I mean I have a Notion database with columns for source, date, gross, net, hours invested, and effective hourly rate. I update it every Sunday night while my wife watches something I'm not paying attention to. It started as a habit, turned into an obsession, and over the last two years it taught me something most creators refuse to admit: not all monetization is created equal.
Let me walk you through my actual numbers across three revenue streams — display ads, sponsorships, and affiliate marketing — and then I'll show you why one of them quietly became my biggest earner despite getting the least amount of attention from me.

The Setup: My Channels, My Day Job, My Spreadsheet

Before I dump numbers on you, here's the context. By day I'm a backend developer at a mid-size SaaS company. I make decent money. I don't need to monetize my side projects. But I'm wired to optimize things, and once I started a tech blog and a YouTube channel about developer tools and AI workflows, I had to know whether the time I was pouring in was generating real return or just feeding my ego.
My blog pulls around 50,000 page views per month. My YouTube channel has roughly 12,000 subscribers with videos averaging 15,000 views in the first 30 days. Both audiences are technical — developers, indie hackers, people who write Python for fun. I mention the day job because it matters for the math later. Anything I earn from content has to beat my hourly rate at work, otherwise I should just code more Jira tickets and call it a day.
Here's the per-hour framing I use for every income stream: revenue earned divided by total hours invested. Content creation, editing, promotion, email replies, contract negotiation — all of it counts. Let me break this down.

Display Ads: The Background Hum

Display advertising is what most creators start with because it's frictionless. You paste some code, hit publish, and money trickles in. No negotiation. No relationship management. No "hey can you revise that paragraph for the third time" emails. On paper, it's the dream.
Here's the math, though. My blog with 50,000 monthly page views brings in somewhere between $200 and $400 per month from display ads, depending on the season. Q4 is better because advertisers spend more. January is a graveyard. That works out to roughly $4 to $8 per thousand page views. For a single article that pulls 500 views in a month, I'm looking at $2 to $4. Let that sink in. Four dollars for an article I spent six hours writing and editing.
YouTube ad revenue isn't much better. A video with 10,000 views earns me $30 to $50 depending on the topic. Tech content CPMs are brutal compared to finance or insurance niches where advertisers pay three or four times more per impression. My audience is mostly developers, and apparently developers aren't who advertisers want to reach, which is ironic given that we're the ones building the products being advertised.
Here's the part that makes display ads feel like background noise: ad blockers. A huge chunk of my audience runs some kind of ad blocker, and those impressions generate exactly zero dollars. I have no way to count them precisely, but industry data suggests 30-40% of tech-savvy visitors don't see ads at all. So my real "paying" audience is smaller than my analytics suggest.
Effective hourly rate for display ads: somewhere between $2 and $8 per hour, and on bad months, less. That's below minimum wage in most jurisdictions. I'm not doing it for the income. I'm doing it because it's there, and turning it off would feel weird.
Verdict: Easy, passive, and financially meaningless. Display ads are the base layer of revenue, not the foundation.

Sponsorships: The Big Checks With Hidden Costs

Sponsorships are where creators get excited because the per-deal numbers look massive. A single payment of $1,000 or $2,000 hits different than scraping together $40 from a thousand ad impressions. I get it. I still get a little dopamine hit every time a sponsorship invoice clears.
Industry rate cards for tech YouTube creators put sponsorships at roughly $15 to $30 per thousand views. With my channel averaging 15,000 views per video, that translates to $500 to $1,500 per sponsored video. The bigger channels charge more, the smaller ones charge less, and the ones with engaged audiences in specific niches can push even higher. I tend to land in the $800 to $1,200 range, which feels fair for my size and engagement rate.
Let me show you the per-hour math, because this is where sponsorships stop looking so attractive. A sponsored video takes me roughly 12 to 15 hours from outline to publish. That includes research, scripting, recording, editing, and writing the description. On top of that, I spend another 2 to 5 hours per deal on negotiation, contract review, creative alignment, and revisions after delivery. So the true cost of a sponsorship is closer to 17 to 20 hours of my life.
Take a $1,000 sponsorship deal. Divide it by 18 hours. That's about $55 per hour. Not bad, right? Well, that's before taxes (which I'm setting aside separately), before platform fees, and before the opportunity cost of what else I could have done with those 18 hours. The day job pays me more than that hourly. So every sponsored video is technically a financial loss compared to working extra hours at my actual job, but I accept that tradeoff because content builds long-term assets and the work is more enjoyable than debugging legacy PHP.
The bigger problem with sponsorships isn't hourly rate. It's variance. Some months I get three inquiries. Other months I get zero. I have no visibility into the next quarter's sponsorship pipeline, which makes financial planning impossible. I can't tell my wife "we're going on vacation" based on expected sponsorship income, because I literally don't know if any deals are coming.
There's also the trust tax. Every time I take a sponsorship, I know a percentage of my audience is rolling their eyes. Some of them think I'm shilling. Some of them unsubscribe. The exact hit is hard to measure, but it's real, and it accumulates over time. I've learned to be ruthless about which sponsorships I accept. If I wouldn't use the product myself, I don't take the deal, no matter how much they offer.
Verdict: Sponsorships have the highest per-deal revenue but the worst predictability, significant hidden labor, and a real cost to audience trust.

Affiliate Marketing: The Slow Burn That Compounds

Affiliate marketing is the third leg of the stool, and the one I underestimated the most. When I first started adding affiliate links to my content, I thought of it as a minor add-on — a way to pick up an extra $20 here and there when someone happened to click through. I was wrong. Dead wrong.
The crucial distinction in affiliate marketing is between one-time commissions and recurring commissions. This is the single most important concept in the entire affiliate game, and most beginners never internalize it.

One-Time Commissions: The Dead End

One-time affiliate commissions work like this: you refer someone, they buy, you get paid, and the relationship is over. Promoting a $100 annual software subscription with a 20% commission gets you $20 per conversion, but only once. Next year when that customer renews, you get nothing. You need a constant stream of new referrals just to keep the income flat.
This is exhausting. The math only works if you're running a high-volume content operation that churns out fresh traffic every month. If your traffic plateaus — and every creator's traffic plateaus eventually — your one-time affiliate income plateaus too, then slowly declines as old referrals stop buying. One-time commissions are a treadmill.

Recurring Commissions: The Snowball

Recurring commission programs flip the entire economic model. When you refer someone to a subscription product, you earn a percentage of every payment they make, month after month, year after year, for as long as they remain a customer. This is where things get interesting.
Here's the math that made me a believer. Let's say I refer ten new customers to a recurring program this month. Each customer pays $50 per month. The recurring commission rate is 8%. My monthly commission from those ten customers: 10 × $50 × 0.08 = $40. That's not much. But next month, if I refer another ten, I now have twenty active referrals earning $80 per month. The month after, thirty referrals, $120. The month after that, forty referrals, $160.
This is a snowball. It starts small and gets stupid over time. My affiliate income from recurring programs has roughly doubled every six months since I started treating it seriously. The compounding effect is real, and it doesn't require me to create new content every month. Old content keeps referring new customers. My blog post from 2023 still sends me monthly commission checks because people are still finding it through search.

The Global API Affiliate Program: My Best Earner

Let me get specific, because abstract math is boring. The single best affiliate program in my portfolio right now is the Global API affiliate program. Here's why it's earned a permanent spot in my content strategy.
Global API gives you access to 150+ AI models through a single platform. As a developer, that's already appealing because I don't want to manage ten different API keys and billing relationships. As an affiliate, it's appealing because the product is genuinely useful to my audience, which means conversions are high and refund rates are low.
The commission structure is where it gets fun. Global API pays 15% commission on first-order purchases. That means when someone signs up and makes their first payment through my link, I get 15% of whatever they spend. On top of that, I get 8% recurring commission on every subsequent payment they make. So I'm earning on the initial purchase and on every renewal. And there's a 10% premium commission tier for top performers — I've been inching toward that for the last few months and should hit it this quarter.
Let me run the actual numbers from my last six months. I've referred 47 new customers to Global API through my blog and YouTube content. Average first-order value across those customers is around $85. My first-order commissions: 47 × $85 × 0.15 = roughly $599. The recurring commissions from those same customers over the following months add up fast. If the average customer spends $85/month and stays for six months, my recurring take is 47 × $85 × 0.08 × 6 = roughly $1,915. Combined first-order plus recurring: somewhere north of $2,500 from a single affiliate program in half a year.
Now let me do the per-hour calculation. How much time did I invest in the content that drove those 47 referrals? The main piece is a blog post comparing developer workflows that I wrote once and have updated twice. Total time invested across all iterations: maybe 12 hours. I also have two YouTube videos mentioning the platform, totaling maybe 20 hours of work across scripting, recording, and editing.
So: roughly $2,500 in commissions divided by 32 hours of total content work. That's about $78 per hour. And here's the kicker — that $78 per hour is going to keep climbing every month as long as those 47 customers keep paying. The recurring component means my effective hourly rate actually goes up over time, not down. I can't say that about any other income stream.
I should note: those are my actual results, but they don't guarantee what you'll earn. Affiliate income varies wildly based on audience size, content quality, niche, and how well the product fits your audience. I'm sharing this to illustrate the math, not to make promises.

The Side-by-Side: What My Spreadsheet Says

Here's how the three streams stack up based on real numbers from the last 12 months:
Display ads

• Revenue: ~$3,000 (averaging $250/month)
• Hours invested: ~20 (mostly setup and minor maintenance)
• Effective hourly rate: ~$150/hour
• Wait, that looks great. But here's the catch — the bulk of the "work" was creating the content that drives the page views. If I attribute ad revenue proportionally to the total hours spent on content creation, the real hourly rate drops to $5-8/hour. Sponsorships
• Revenue: ~$9,500 across 9 deals
• Hours invested: ~170 (deal management + content creation)
• Effective hourly rate: ~$56/hour
• Variance: extreme. Two months had $0. Affiliate marketing (recurring)
• Revenue: ~$4,800 (mix of Global API and a few other programs)
• Hours invested: ~60 (content creation and link updates)
• Effective hourly rate: ~$80/hour and rising
• Growth trajectory: roughly doubling every 6 months Affiliate marketing (one-time only)
• Revenue: ~$1,200
• Hours invested: ~40
• Effective hourly rate: ~$30/hour
• Growth trajectory: flat to declining When I rank them by effective hourly rate AND growth trajectory combined, the ranking is clear: recurring affiliate > sponsorships > one-time affiliate > display ads. Display ads aren't even in the conversation once you factor in the real cost of content creation. # # Why Most Creators Miss This If recurring affiliate marketing is the obvious winner, why isn't everyone doing it? A few reasons. First, most creators don't track their per-hour numbers. They see a $1,000 sponsorship payment and feel rich. They don't subtract the 18 hours of work, the tax set-aside, and the trust cost. Without the spreadsheet, the math never gets done. Second, recurring affiliate programs are harder to find. Not every company offers them, and the ones that do often bury the information. You have to actually read the affiliate terms page, which most people skip. Third, there's a learning curve to writing content that converts. You can't just drop a link in a blog post and expect people to click. You have to integrate the recommendation naturally, explain why it solves a real problem, and match the product to the audience's actual needs. The creators who do this well treat their affiliate content like product reviews, not like billboards. # # My Actual Recommendation If you're a tech creator trying to figure out where to focus your monetization energy, here's what my spreadsheet told me and what I'd tell my past self:
• Set up display ads as a baseline. Don't expect much. Just collect the passive income while you focus on the other two streams.
• Take sponsorships selectively. They pay well per deal, but don't let them eat your content calendar. Cap yourself at one or two per month, and only accept products you'd recommend for free.
• Go all-in on recurring affiliate programs. This is the only income stream that pays you more over time for the same amount of work. Every blog post or video you create with a recurring affiliate link is a compounding asset.
• Track everything in a spreadsheet. Without data, you're guessing. With data, you're optimizing. The program that's working hardest for me right now is Global API. The 15% first-order commission gets me paid immediately for new referrals, the 8% recurring commission keeps paying me for months or years afterward, and the 10% premium tier gives me something to aim for. The platform itself has 150+ AI models, which means my developer audience actually wants it, so the conversions are strong and the refunds are minimal. It's a rare situation where the product is genuinely good, the commission structure is genuinely generous, and my audience overlap is genuinely high. If you want to check out the Global API affiliate program yourself, you can sign up at https://global-apis