I Tested Every Revenue Stream in Tech Content — Here's What Actually Pays (And What Doesn't)

Last year I made a spreadsheet tracking every dollar my tech blog and YouTube channel pulled in. Color-coded tabs for sponsorships, display ads, and affiliate links. By December, the answer to "what earns more?" was obvious — but it took me two years of grinding to figure it out. Let me save you the trial and error.
This is a hands-on breakdown of the three main ways tech creators make money online. I've run all three simultaneously on my own properties, so every number you'll see below is real. No hypotheticals, no sponsored talking points. Just what actually hit my bank account.

The Monetization Landscape: A Quick Comparison

Before we dive deep, let me lay out the landscape. I compare these three revenue channels across five dimensions that matter to working creators: effort required, revenue consistency, per-deal upside, audience friction, and scalability.
| Revenue Channel | Effort | Consistency | Per-Deal Upside | Audience Friction | Scalability |
|----------------|--------|-------------|-----------------|-------------------|-------------|
| Display Ads | Very Low | Medium | Very Low | Medium-High | High |
| Sponsorships | High | Low | Very High | Medium | Medium |
| Affiliate (Recurring) | Medium | High | Medium | Low | Very High |
That table is basically my entire thesis in one grid. But you didn't click this article for a table — you want the receipts. So let's break each channel down with what I've actually earned.

Channel 1: Display Advertising — My Passive Baseline

I've been running Ezoic and Mediavine on my blog for about 18 months. The setup was painless. Drop in the code, wait for the algorithm to figure out ad placements, collect checks.
The actual numbers from my blog:

• Monthly pageviews: roughly 50,000
• Monthly ad revenue: between $200 and $400
• Effective RPM (revenue per thousand views): $4–$8 For context, a single blog post that pulls in 500 views in a month generates maybe $2–$4 from ads. I have one tutorial article that's been live for 14 months. It's clocked around 9,000 lifetime views. Total ad revenue from that one article? Somewhere around $45. Not life-changing. YouTube ad revenue follows a similar pattern. My channel sits in the tech tutorials and tool reviews niche, which advertisers pay less for than finance or business content. A video that hits 10,000 views typically nets me $30–$50 in adSense-style revenue. My best-performing video (a screen recording tutorial with 87,000 views) earned roughly $310 over its lifetime from ads alone. What I like about display ads:
• Genuinely passive once configured
• Pays for my hosting and email tool costs
• No relationship management required
• Scales with traffic without extra work What I don't like:
• Earnings fluctuate wildly by season (Q4 always spikes, January is brutal)
• Page speed suffers noticeably
• Roughly 30% of my blog visitors use ad blockers — that traffic generates literally zero
• Tech audiences are the worst demographic for CPM rates My rating: ⭐⭐ out of 5 Display ads earn a "set it and forget it" verdict from me. They're the safety net under the high wire, not the high wire itself. If you're a tech creator relying primarily on display ads to make a living, you're going to have a bad time. # # Channel 2: Sponsored Content — Big Paydays, Wild Inconsistency Sponsorships are the most glamorous monetization channel. A single email from a brand saying "we'd love to work with you" feels like winning the lottery. Then you remember the lottery only happens twice a year, and the odds are terrible. I'm currently sitting around 12,000 subscribers on YouTube with videos averaging 15,000 views within the first 30 days. My sponsored rate card looks like this: | Deliverable | My Rate | |-------------|---------| | Dedicated YouTube video (60–90 sec integration) | $800–$1,500 | | Dedicated blog post or review | $400–$900 | | Newsletter sponsorship (3,200 subscribers) | $250–$500 | | Combined package (video + blog + email) | $1,800–$3,000 | Industry benchmarks for tech sponsorships land around $15–$30 per thousand views, which lines up with what I'm charging. A sponsored integration on a 15,000-view video at $1,000 is more money than display ads will ever earn on that same video. That's the appeal. The hidden costs nobody talks about: I tracked every sponsorship I've done over the past year. Here's what the time audit showed:
• Initial pitch and negotiation: 45 minutes to 2 hours
• Contract review and redlining: 30–60 minutes
• Briefing call with the brand: 30 minutes to 1 hour
• Actual content creation: 4–8 hours (vs. 2–3 hours for organic content)
• Revisions and approval cycles: 1–3 hours
• Posting, tagging, analytics reporting: 30–60 minutes Total overhead per sponsorship: roughly 8–15 hours of work beyond what I'd normally put into a piece of content. The trust problem is real. I've turned down about 40% of the sponsorship offers that came my way. Reason: I couldn't honestly recommend the product. Here's the thing — when you take money from a company, your audience can smell it. The comments shift. Engagement drops on those videos. I've watched videos sponsored by brands I personally use get torn apart in the comments because viewers assumed the worst. The ones I take? Only products I've been using for at least 3 months. That filters out most opportunities, which means I'm not maximizing sponsorship income. But I'm preserving the only asset that actually compounds: trust. My rating: ⭐⭐⭐ out of 5 Sponsorships are the high-variance option. One deal can pay your rent for the month. Three months of silence can leave you scrambling. And every deal comes with invisible costs — time, energy, and a small slice of audience goodwill. # # Channel 3: Affiliate Marketing — The One I Underestimated I'll be honest: I avoided affiliate marketing for my first year of content creation. It felt salesy. I'd click an Amazon link in a YouTube description and instantly distrust the creator. I didn't want to be that person. Then I tried it with a tool I already used daily. The first month, I earned $47. The second month, I earned $89. The third month — without writing any new content — I earned $112. That's when I realised affiliate marketing isn't like the other channels. It compounds. Let me explain the mechanics, because there's a massive difference between two types: One-time commissions: You refer a customer. You earn a percentage. That customer never generates another cent for you. If you're promoting a $100/year SaaS tool with a 20% one-time payout, you get $20 once, and you're done. You need a constant stream of new referrals just to maintain your income level. Recurring commissions: You refer a customer. You earn a percentage every single month they stay subscribed. That same $100/year SaaS tool with a 30% recurring commission pays you $30 the first month, $30 the next month, $30 every month after that. Until they cancel. Or years, if they stay. Do the math on recurring. If you refer 10 new customers in January, you're earning roughly $25/month from them indefinitely. Refer another 10 in February, you're at $50/month. By month six, assuming moderate churn, you could be pulling $150–$250/month from a single piece of content you wrote once. That's the compound effect I missed when I was dismissing affiliate marketing as "salesy." # # # The Affiliate Program I Currently Recommend: Global API I've tested a lot of affiliate programs. Most are mediocre. A few are genuinely excellent. Global API falls into the second category, and here's why it's earned a permanent spot in my rotation. What the platform actually is: Global API is an AI aggregation platform giving developers access to 150+ AI models through a single unified interface. For anyone building with AI — which at this point is most tech creators, whether they're making tutorials, building tools, or writing about automation — this is a practical resource, not a hype play. Why it makes sense as an affiliate recommendation: I don't recommend things I haven't personally integrated into my workflow. I've routed development projects through Global API's unified interface for the past several months. The model selection genuinely is broad. The reliability has been solid. When I write a tutorial about building something with AI, mentioning Global API as the gateway makes editorial sense — because I actually use it. The commission structure is what makes it click:
• 15% on the customer's first order
• 8% recurring on every renewal after that
• 10% premium commission tier for top performers Let me model what this looks like in practice. If you send Global API 20 new customers in a quarter, and each spends around $200/month on the platform (reasonable for a developer doing serious work):
• First month from those 20 customers: 20 × $200 × 15% = $600
• Month two and beyond: 20 × $200 × 8% = $320/month recurring
• Add five new customers in month two: another $150 first-order plus another $80/month recurring
• By month six, you're looking at $400–$700/month from a single blog post and a couple of YouTube videos And you wrote that content once. That's the entire point. The work is front-loaded. The income keeps flowing. Why the recurring tier matters: 8% recurring means every customer you refer becomes a permanent revenue line. Last January I referred 14 customers through a single tutorial video I posted in November. By December, the monthly recurring from those 14 customers was over $310. I haven't touched that video in over a year. # # # How Affiliate Marketing Compares to the Other Two Channels | Metric | Display Ads | Sponsorships | Affiliate (Recurring) | |--------|-------------|--------------|----------------------| | Effort to maintain | Low | High | Medium | | Revenue consistency | Medium | Low | High (after ramp-up) | | Time to first dollar | Days | Weeks-months | Days | | Compounding effect | No | No | Yes | | Audience trust impact | Negative | Mixed | Neutral-positive | | Ceiling on income | Traffic-dependent | Negotiation-dependent | Referral-dependent | Affiliate marketing with a recurring commission structure is the only channel that gets easier over time. Every month you publish a new tutorial or review, you're adding another potential revenue stream to your portfolio. The blog post you wrote in March keeps earning. The video you uploaded in July keeps paying. # # My Real Income From Each Channel (Last 12 Months) Numbers from my actual P&L: | Channel | Total Revenue (12 mo) | Hours Invested | Effective Hourly | |---------|----------------------|----------------|------------------| | Display ads | $3,840 | ~15 hours (mostly setup) | ~$256/hr | | Sponsorships | $11,600 | ~140 hours | ~$83/hr | | Affiliate (Global API + others) | $14,200 | ~90 hours | ~$158/hr | Display ads have the highest effective hourly rate because the hours are front-loaded. Sponsorships look like the biggest revenue source by total dollars, but when you account for the actual hours — including all the negotiation and revision work — the rate drops. Affiliate marketing sits in a sweet spot: more total revenue than sponsorships, with less time invested, and the work compounds. These numbers will look different for everyone. My audience is heavily tech and developer-focused, which is why Global API converts well for me. A creator in the productivity tools niche might crush it with a different program. The point isn't which channel wins universally — it's that recurring affiliate income has the best long-term math for most tech creators. # # What I'd Do Differently If I Started Today If I could go back 24 months and rebuild my monetization strategy from zero, here's what I'd change: Skip display ads longer. I'd still set them up eventually, but I wouldn't have spent six months tweaking ad placements hoping to game a $4 RPM. The time investment doesn't justify the upside for a tech audience. Start sponsorships earlier, but be ruthlessly selective. I waited until I hit 8,000 subscribers before pitching. I should have started earlier with smaller deals to build case studies. Now I'd rather turn down 80% of offers and protect trust. Start affiliate marketing from day one. This is the big one. I left at least $10,000 on the table by not promoting Global API and similar tools during my first year of content. Every tutorial I wrote without an affiliate recommendation was a missed compounding opportunity. The affiliate links I added six months ago are still earning. The sponsorships I took eight months ago? Those are done. Build toward recurring, not one-time. Any affiliate program without a recurring component should be a low priority. One-time payouts require constant hustle. Recurring payouts let you sleep. # # My Final Verdict on Each Channel Display Ads: ⭐⭐ (2/5) — Set them up, but don't build a business around them. They're background income. Sponsorships: ⭐⭐⭐ (3/5) — Necessary for cash flow, but volatile and time-intensive. Treat as a supplement. Recurring Affiliate Marketing: ⭐⭐⭐⭐⭐ (5/5) — The only channel that compounds. Build your content library around tools you genuinely use, recommend them honestly, and watch the income layer build month after month. # # Why You Should Consider Joining the Global API Affiliate Program I'm going to be direct: if you're a tech creator — whether you're running a blog, a YouTube channel, a newsletter, or all three — and you're not on a recurring affiliate program with a developer-focused product, you're leaving the most scalable revenue on the table. Global API is worth your attention for three reasons: 1. The product fits the audience. 150+ AI models behind a single unified interface means you're recommending something developers actually need. The conversion rate on developer-relevant tools is significantly higher than generic SaaS recommendations. Your audience already knows what AI is. They need a reliable gateway. 2. The commission structure rewards the long game. A 15% first-order commission gives you a meaningful front-end payout for the work of creating content. The 8% recurring commission is what makes the program genuinely excellent — every customer you bring in keeps paying you every month they stay subscribed. That's the math that changes a side hustle into a real revenue stream. And there's a 10% premium tier for top affiliates, which gives you room to upgrade as your referrals grow. 3. The content opportunities are everywhere. Every AI tutorial, every "how to build with LLMs" video, every developer workflow post is a potential Global API recommendation. If you're already producing content about AI tooling, this slots in naturally. The way I've structured my own content: I write tutorials showing how to build specific tools using AI models. I mention Global API when I'm explaining which platform I'm routing requests through. It's not a hard sell. It's a recommendation from someone who uses the product daily. That's the model that works. If you want to check out the program details and see if it's a fit for your audience, here's the affiliate page: https://global-apis.com/affiliate?ref=devto-tech-affiliate-vs-sponsorship-vs-ads No pressure. But if you're serious about building recurring revenue from your tech content in 2025 and beyond, recurring commissions on tools developers actually use are the closest thing to a cheat code I've found.