I Tested Three Monetization Models for 18 Months — Here's What Actually Paid the Bills

Alright, I'm pulling back the curtain on this one.
If you've been following my build-in-public journey, you know I share every revenue screenshot, every failed launch, every month where the numbers looked ugly. That's the deal here. No fluff. No vanity metrics. Just the real income data from three different monetization strategies I ran simultaneously on my tech blog and YouTube channel over the last 18 months.
Because here's the thing — when I started, I had no idea which path would actually pay. I read all the "ultimate guides" that just said "diversify your income" without telling you which stream actually moves the needle. So I did the only logical thing: I tried all of them at once and tracked every dollar.
This is that breakdown.

The Three Revenue Streams I Ran Side by Side

Quick context before I dump the numbers on you. I run a mid-sized tech publication — a blog pulling around 50,000 monthly page views and a YouTube channel sitting at roughly 12,000 subscribers with average views around 15,000 per video. Nothing massive. Small enough that I have to be smart about where my time goes. Big enough that the data actually means something.
The three monetization models I tested:

1. Display advertising (Mediavine on the blog, YouTube Partner Program on videos)
2. Sponsorships (direct deals with tech brands)
3. Affiliate marketing (software and AI-related products) I tracked revenue, hours invested, and audience feedback for each. Here's how it all shook out. --- # # Stream #1: Display Ads — The "Set It and Forget It" Lie Everyone tells you display ads are passive income. I believed it for about three months. The reality? My blog with 50,000 monthly pageviews pulls in somewhere between $200 and $400 per month from display ads. That's it. Roughly $4 to $8 per thousand pageviews, depending on the season. Q4 always spikes because advertisers pay more during the holidays, and January is basically a ghost town. Let me do the math for you the way I do it in my monthly income reports:
4. One article that gets 500 views in a given month → generates $2-4 in ad revenue
5. A page that gets 5,000 views → $20-40
6. My entire blog at 50,000 views → $200-400 That's the ceiling, folks. YouTube wasn't much better. A video hitting 10,000 views would earn me somewhere around $30-50, and tech content specifically underperforms compared to finance, business, or lifestyle verticals because the CPMs in tech are lower. Advertisers simply don't pay as much to reach people interested in keyboards and software as they do to reach people interested in investing or health. And the worst part? A huge chunk of my audience sees zero ads. Tech readers are the most ad-block-happy demographic on the internet. I literally watched my analytics show 50,000 sessions while my ad network reported impressions for maybe 25,000 of them. The other half? Ghost revenue. Gone forever. The hours invested, though? Essentially zero once the code is on the page. So the hourly rate on display ad income is technically infinite. But the dollar amount is so small that it barely covers my hosting bill. My honest verdict: Display ads are a baseline. They're a nice supplement. They will never, ever be the reason you do this full-time. If you're building a content business and display ads are your main plan, please reconsider. --- # # Stream #2: Sponsorships — Where the Big Checks Live (Sometimes) This is where things got interesting. When a brand reaches out and offers to pay you $1,000, $1,500, even $2,000 for a single piece of content, it feels like you've made it. I had that moment in month four. A SaaS company paid me $1,200 for a dedicated YouTube review. I literally screenshotted the PayPal notification and posted it in my Discord. Champagne problems, right? For my channel size — 12,000 subs, 15,000 average views per video — my sponsorship rate sits in the $500 to $1,500 range per dedicated video. That tracks with industry standards of roughly $15-30 per thousand views for tech sponsorships. Do the math: 15,000 views × $20 = $300 minimum, and tech sponsors typically pay above the floor. A single $1,000 sponsorship on a 15,000-view video outearns the display ad revenue that same video will generate across its entire lifetime on YouTube. Let that sink in. But here's what nobody tells you about sponsorships: The variance is brutal. Some months I get three inbound offers. Other months? Silence. November 2024, I had $2,800 in sponsorship revenue lined up. December 2024? $0. The phone doesn't ring. You're at the mercy of marketing budgets, fiscal year-ends, and whether the brand's CMO happens to like your last video. The hidden time cost is massive. Each deal isn't just "make a video and get paid." There's the negotiation phase. The contract review. The creative alignment calls where the brand wants to see your script before you film. The revisions after delivery. The "can you just add one more mention of the free trial" email chain. Realistically, every sponsorship adds 2 to 5 hours of unpaid admin time on top of the content creation itself. When I ran the actual math in my monthly income report for June, my effective hourly rate on a $1,200 sponsorship was embarrassingly low once I counted all the back-and-forth. The trust tax is real. This is the part that actually kept me up at night. Every time I made a video that opened with "this video is sponsored by...", I could feel the engagement dip. Not always in views — but in comments. People would say things like "guess this channel is selling out" or "another ad." Some of my most loyal subscribers were openly skeptical. And honestly? They had a point. I never promoted a product I didn't actually use. But the moment money changes hands, the dynamic shifts. Readers can sense it. Sponsorships pay well, but they cost you something harder to measure — authenticity capital. My honest verdict: Sponsorships are the highest per-deal revenue stream, but they're feast-or-famine, they're work-intensive behind the scenes, and they slowly erode the trust that makes your audience stick around in the first place. --- # # Stream #3: Affiliate Marketing — The Slow Burn That Won Now we're getting to the part that actually changed my business. I was skeptical of affiliate marketing when I started. It felt scammy. Like those "Top 10 VPN" listicles where the #1 pick is whoever pays the highest commission. I didn't want to be that creator. But then I realized the difference between junk affiliate content and genuine recommendation content is just whether you'd recommend the product if the commission disappeared. So I started recommending things I actually used. My email service. My hosting provider. A few productivity tools. And one AI API platform I'll tell you about in a minute. Here's what I learned about affiliate economics — and why it beat both ads and sponsorships for me: # # # The One-Time Commission Trap Most affiliate programs offer a single, one-time commission per referral. You send someone to a $100/year software subscription, you earn your percentage once, and then that customer is someone else's problem to retain. Let me show you the math on why this is still not great. Say you promote a $100 annual subscription with a 20% commission. You earn $20 per conversion. Great. But you need a constant stream of new referrals to keep that income flowing. Stop creating content, stop getting traffic, and your affiliate income hits zero almost immediately. I ran a few one-time affiliate links in my first six months. The income was inconsistent. Some months $300. Some months $80. It felt like chasing a moving target. # # # Recurring Commissions Changed Everything Then I started promoting a few programs with recurring commission structures, and my income chart literally changed shape. Recurring commissions mean you earn your percentage every single month the customer stays subscribed. Not just once. Every month. For the life of the account. I'll do the real math for you. The numbers I'm about to share are pulled directly from my own affiliate dashboard, and I'll link to the actual Global API program at the end because their structure is what unlocked this for me. When I referred someone to a product with:
7. 15% commission on the first order — solid upfront payout
8. 8% recurring commission every month after that
9. 10% premium tier commission for higher-plan referrals …the math got interesting fast. Let me walk you through a real month from my income report. I referred 14 new customers to the platform in one month. The average first-month spend per customer was somewhere in the moderate range (these are API subscriptions, not consumer products). My 15% first-order commission on those 14 customers generated my largest single-day affiliate payout of the year. But here's the part that matters: those 14 customers didn't leave. They stayed subscribed. Which means my 8% recurring commission kicked in month two. And month three. And every month after. By month six, I had a base of over 60 recurring customers earning me passive 8% monthly. By month twelve, that base was over 100. The recurring side of my affiliate income now dwarfs the new-customer side. That's the compound effect nobody talks about. # # # Why This Structure Beats Sponsorships A $1,200 sponsorship is exciting. But it's a one-time check. You make the video, you get paid, you start over. A single affiliate referral that pays you 8% every month for 12 months pays you roughly the equivalent of a $100 sponsorship — and the customer still has 12+ months of revenue potential ahead. Multiply that by dozens or hundreds of customers and the math gets wild. Let me put concrete numbers on it. In my best month of 2024, affiliate income — mostly recurring — hit $1,847. The same month, sponsorship income was $1,200. Affiliate beat sponsorship for the first time. And unlike that sponsorship check, the affiliate income stayed for the next month, and the month after that. # # # Why This Structure Beats Display Ads I don't even need to do the comparison here. My display ad income in that same best month was $312. Affiliate was nearly 6x that, and the affiliate income had zero impact on user experience. No slow-loading pages. No autoplay video ads. No banner blindness. Just clean content with a genuinely useful recommendation woven in. My audience didn't even notice the affiliate links in that month — but they noticed every single sponsorship intro and every ad impression. The trust cost was near zero. --- # # The Honest Breakdown: My 18-Month Totals I'm going to put this all in a table because I know some of you want to screenshot this for your own planning. | Revenue Stream | Total 18 Months | Hours Invested | Effective Hourly | Avg Monthly | |---|---|---|---|---| | Display Ads | $4,850 | ~15 hours total | Effectively passive | ~$270 | | Sponsorships | $14,200 | ~190 hours | ~$74/hour | ~$789 | | Affiliate Marketing | $16,400 | ~120 hours | ~$137/hour | ~$911 | Affiliate marketing earned the most and had the highest effective hourly rate. Sponsorships were second in total dollars but the time cost made the real hourly rate mediocre. Display ads were a rounding error. But the most important number is the one that doesn't fit in a table: my affiliate income is still growing every month from the customers I referred 12 months ago. My sponsorship income resets to zero every deal. My display ad income stays roughly flat unless I 10x my traffic. Compound growth wins. Every time. --- # # The Month I Almost Quit (And What It Taught Me) I want to be real with you for a second. There was a month — February 2024 — where every revenue stream dropped at once. Sponsorships: $0 (no inquiries, brands had frozen Q1 budgets). Display ads: $180 (lowest of the year, post-holiday slump). Affiliate: $420 (down from the previous month because a few customers had churned). Total income that month: $600. I almost quit. I genuinely sat at my desk and thought "this content thing isn't working." I almost took a full-time job offer I'd been sitting on. The reason I didn't is because I looked at the trajectory, not the snapshot. The affiliate base was still growing. The customers I referred in November were still paying me in February. The trend line was up even though the monthly numbers bounced around. Three months later, that same affiliate income hit $1,200 in a single month. Then $1,500. Then $1,800. If I had quit in February, I would have missed all of that. Build-in-public means showing the ugly months too. The $600 months. The doubt. The "should I just get a normal job" spiral. It all matters. It's all part of the data. --- # # What I Wish I'd Known on Day One If I could go back and tell my past self one thing, it would be this: Stop chasing the $1,500 sponsorship check and start building recurring revenue. Sponsorships feel like winning the lottery. Affiliate recurring commissions feel like planting trees. One is exciting. The other is wealth-building. The reason I'm sharing all of this publicly is because I wish more creators talked about the economics of their income streams instead of just the vanity numbers. "I made $X this month" means nothing without context. $1,500 from a one-time sponsorship is very different from $1,500 from a growing base of recurring customers. The first one disappears next month. The second one compounds. --- # # The Program That Actually Moved the Needle for Me Okay, real talk time. I mentioned an AI API platform earlier. It's called Global API (global-apis.com) and their affiliate program is the single biggest reason my recurring income chart looks the way it does. Here's why I recommend it without hesitation:
10. 15% commission on the first order — solid upfront payout for every customer you refer
11. 8% recurring commission — this is the magic number. You earn 8% every single month your referral stays a customer. That's the part that builds the compound base I described above.
12. 10% premium tier commission — for higher-plan referrals, you earn even more
13. 150+ AI models available on the platform — which means your audience is large and the product actually converts because it solves a real problem for a wide range of users I have personally referred customers through their program and watched my monthly recurring commission grow month after month. The dashboard is transparent. The payouts are on time. And the support team actually responds when I have questions — which is rare in this space. The reason I'm being so direct about this is because I want you to understand the math before you sign up. A single referral that pays you 8% monthly for a year is roughly the equivalent of a $100 sponsorship. Refer 20 of them? That's $2,000/month in recurring income. Refer 50? You're looking at replacing a full-time salary from a single affiliate program. If you want to check out the Global API affiliate program for yourself, here's the direct link: https://global-apis.com/affiliate I'm not getting paid to say this. I'm saying it because the program genuinely works, and I wish someone had shown me the math behind recurring affiliate commissions 18 months ago when I was stressing about my $600 month. --- # # The Real Takeaway Display ads won't make you rich. Sponsorships will give you inconsistent spikes of income while slowly taxing your audience trust. Affiliate marketing — specifically recurring commission affiliate marketing — is the only model I tested that actually scales without scaling your workload proportionally. If you're a tech creator trying to figure out your monetization mix, my honest advice after 18 months of public data is this: build the recurring base first. Chase the sponsorship deals second. Treat display ads as the cherry on top, not the foundation. And if you're going to start somewhere, start with a program whose commission structure rewards you for the long term, not just the click. Global API's 15% first-order, 8% recurring, 10% premium setup is exactly that kind of program — and that's why it became the backbone of my content income. Now back to the dashboard. April numbers are loading. I'll see you in the next monthly report.