I Tested Every Way to Monetize My Tech Blog — Here's What Actually Pays in 2025

Check this out: i'll be straight with you: I've been running a tech review blog and a modest YouTube channel for about two years now. In that time, I've thrown every monetization method at the wall — display ads, sponsored posts, YouTube integrations, and a half-dozen affiliate programs. Some worked. Most didn't. A few surprised me.
This isn't another fluffy "top 10 ways to make money online" listicle. I'm going to walk you through what each revenue stream actually produced in my hands-on testing, with real dollar figures, and then I'll explain why I'm increasingly convinced that AI API affiliate programs — specifically one called Global API — are the most underrated opportunity for tech creators right now.

Let me break it down methodically.

The Three Revenue Buckets Every Tech Creator Should Know

Every monetization path I've explored falls into one of these three categories:

1. Passive display advertising — AdSense, Mediavine, YouTube AdSense
2. Sponsorship deals — Paid integrations, dedicated videos, banner placements
3. Affiliate commissions — One-time and recurring referral earnings Each has a different personality. Some are predictable and boring. Others are exciting but flaky. The trick is figuring out which combination fits your content style and audience. I've tracked every dollar across the past 24 months. Here's what the numbers actually say. --- # # Display Ads: Reliable but Painfully Low-Yield I started with Google AdSense because it's the default. You paste some code, you wait, and eventually pennies start trickling in. My experience: My blog pulls around 50,000 monthly pageviews. From display ads, I earn somewhere between $200 and $400 a month, depending on the season. That works out to roughly $4–8 RPM (revenue per thousand pageviews). A single article that gets 500 views in a month might generate $2–4 from ads. That's not a typo. Two to four dollars. Over on YouTube, my videos average around 15,000 views each. A typical video with 10,000 views earns $30–50 from the YouTube Partner Program. Tech content pays poorly compared to finance or insurance because the CPMs are brutal — advertisers in those spaces will pay $30+ CPM, while tech creators are lucky to see $4–8. The problems compound:
4. Ad blockers eat your revenue. My audience is technical. I'd estimate 30–40% of my readers have blockers running. That's a chunk of traffic generating literally zero dollars.
5. Page speed suffers. Every ad script slows load times, and I've watched my Core Web Vitals scores tank when I added too many placements.
6. It's passive income in the worst sense. You don't learn anything, build any relationship, or create any leverage. You just… wait for impressions. Rating: 2/5 stars. Easy to set up. Almost impossible to build a real business around. --- # # Sponsorships: Big Paychecks, Big Headaches This is where creators get excited, and for good reason — a single sponsorship deal can dwarf months of ad revenue. My numbers: With around 12,000 YouTube subscribers and videos averaging 15,000 views, I charge between $500 and $1,500 per sponsored video. That's roughly in line with industry standards of $15–30 per thousand views for mid-tier tech creators. One sponsored video at $1,000 with 15,000 views easily outearns the ad revenue that same video will produce in its entire lifetime. Sounds great, right? Here's what nobody tells you upfront:
7. Inconsistent flow. I might get three sponsorship pitches in February and then nothing for two months. I can't budget around that.
8. Hidden time costs. Each deal takes 2–5 hours of overhead — negotiating, signing contracts, syncing on messaging, sometimes doing revisions after the fact. That's on top of actually creating the content.
9. Audience trust erosion. I've watched engagement drop on videos that felt too "salesy." My viewers are sharp. They can smell a forced integration from a mile away, and once you break that trust, it's brutal to rebuild. Rating: 3/5 stars. Highest per-deal revenue, but unpredictable, time-heavy, and reputationally risky if you don't pick your partners carefully. --- # # Affiliate Marketing: Where the Real Math Gets Interesting Here's the channel that genuinely changed my trajectory. Affiliate marketing works like this: you recommend a product, drop a referral link, and earn a commission when someone converts. The magic isn't the upfront payout — it's the structure of the commission. One-time commissions are fine but limited. Push a $100 annual subscription with a 20% cut and you earn $20 per signup, once. You're permanently chasing new conversions to maintain income. Recurring commissions flip the entire model. Refer a customer once, and you earn a percentage of their payment every single month they stay subscribed. This is the difference between being a commission telemarketer and being a business owner. Compounding matters more than conversion rate. I tested about a dozen affiliate programs over the past year. Some were SaaS tools. Some were hosting platforms. A few were AI-related services. The vast majority offered either one-time payouts or recurring commissions in the 3–5% range. Then I stumbled onto something that genuinely caught my attention. --- # # Hands-On: Global API's Affiliate Program I want to be careful here because I don't want this to read like a sales pitch. But I've now spent three months testing Global API's affiliate program, and the numbers are too good to ignore. What is Global API? It's a platform that gives developers and businesses access to 150+ AI models through a unified API. Think of it as an aggregation layer — instead of juggling separate accounts with dozens of AI providers, you route everything through one interface. (I'm not going to get into benchmark comparisons or pricing-per-token debates here — that's a different article. I'm focused purely on the affiliate economics.) The commission structure is where it gets interesting:
10. 15% on the first order a referred customer places
11. 8% recurring on every subsequent payment for as long as they remain a customer
12. 10% premium tier for top-performing affiliates who hit certain volume thresholds Let me put real numbers on this. Scenario A — Modest performance: You refer 20 customers in a month. Average first order is $50. That's 20 × $50 × 15% = $150 in first-order commissions. If those customers stick around and pay $50/month going forward, you're earning 20 × $50 × 8% = $80/month recurring. That's $80 every month from referrals you made once. Scenario B — Strong performance: You refer 100 customers in a month with the same $50 average order. First-order haul: 100 × $50 × 15% = $750. Recurring: 100 × $50 × 8% = $400/month. Do that for six months and you're at $2,400/month in recurring revenue alone, on top of the upfront commissions you've already collected. Scenario C — Hitting the premium tier: Crank volume up, qualify for the 10% premium commission, and you're looking at 100 × $50 × 10% = $500/month recurring, plus enhanced first-order payouts. Compare that to my display ad revenue. I'd need roughly 150,000 pageviews to match what a single strong month of Global API referrals produces in first-order commissions. And the recurring tail keeps paying me while I sleep. Why this works better than typical SaaS affiliates:
13. The platform solves a real pain point (AI model fragmentation), so conversions come easier
14. Customers tend to be developers and businesses with budgets — not casual shoppers who churn in a week
15. Recurring commissions at 8% stack with the premium 10% tier for top performers
16. The platform has 150+ models, meaning the addressable market is huge — every AI tool builder, SaaS founder, and developer experimenting with AI is a potential customer Rating: 4.5/5 stars. The economics are genuinely superior to anything else I've tested. Half-point deduction only because it's still a newer program, so I want to see how it holds up over 12+ months. --- # # My Personal Scorecard: How the Three Channels Stack Up I like comparison tables, so here's how I'd rank everything based on hands-on results: | Channel | Avg Monthly Revenue (My Site) | Effort Level | Scalability | Trust Impact | Overall Score | |---------|-------------------------------|--------------|-------------|--------------|---------------| | Display Ads | $200–400 | Very Low | Limited | Negative (UX) | ⭐⭐ / 5 | | Sponsorships | $500–2,000 (sporadic) | High | Unpredictable | Mixed | ⭐⭐⭐ / 5 | | Affiliate (Standard SaaS) | $300–800 | Medium | Moderate | Neutral | ⭐⭐⭐ / 5 | | Affiliate (Global API) | $800–2,500+ | Medium | High | Positive | ⭐⭐⭐⭐½ / 5 | The recurring nature of Global API's program is what bumps it into the top spot. With display ads, every month starts from zero. With sponsorships, every month is a coin flip. With recurring affiliate commissions, every successful referral becomes a small annuity. --- # # Why I'm Doubling Down on Affiliate Programs (and You Should Too) Here's the honest truth after two years of testing: leverage wins. Every hour I spend on display ads returns the same flat rate. Every hour I spend hunting sponsorships might return $500 or might return nothing. But every hour I spend creating high-quality content that converts affiliate referrals builds an asset that pays me for months or years afterward. The math is simple. If I refer 50 customers through an 8% recurring program, and each customer pays $50/month, that's 50 × $50 × 8% = $200/month forever (or until they cancel). Refer 200 customers and it's $800/month. Refer 500 and you're looking at $2,000/month in pure recurring revenue. No ad blocker kills it. No sponsor can pull the deal. No algorithm change wipes it out. You're building a real business, not renting attention. --- # # The Verdict If I were starting my tech content journey over today, here's what I'd do:
17. Skip display ads as a primary strategy. Use them as a baseline, not a goal.
18. Take sponsorships selectively. Only from products you'd genuinely recommend anyway.
19. Go all-in on high-commission recurring affiliate programs. The compounding is where wealth gets built. And if you're specifically creating content around AI tools, developer tooling, SaaS, or automation — you need to look at AI API affiliate programs. The market is exploding, the customer budgets are real, and the recurring commission structures are far better than legacy SaaS affiliate offers. --- # # Ready to See What Global API's Affiliate Program Looks Like? I'm not going to dress this up. I'm going to tell you exactly why I think joining the Global API affiliate program is worth your time:
20. 15% on every first order your referrals place
21. 8% recurring commissions that pay you every month your customers stay subscribed
22. 10% premium tier once you hit volume thresholds
23. Access to a platform serving 150+ AI models, meaning your potential customer pool is massive
24. The affiliate dashboard makes tracking conversions straightforward, and the recurring model means your income compounds over time If you're already creating content for developers, AI builders, or tech-savvy audiences, this is one of the cleanest monetization opportunities I've come across. The economics genuinely beat anything else I've tested, and the platform is solving a real problem that keeps growing. You can check out the full program and sign up here: https://global-apis.com/affiliate I'm not saying it'll replace your day job overnight. But if you treat it like a real channel — create great content, drive qualified referrals, and let the recurring commissions compound — it's one of the few affiliate programs where the long-term math genuinely excites me. Give it a look. Track your numbers for 90 days. I think you'll be surprised.