I've been running a tech newsletter for almost two years. Around 6,800 subscribers, a 42% average open rate, and a small but loyal base of developers and indie hackers who actually click the things I send them. I monetize through sponsored placements, occasional digital products, and — starting ninety days ago — a single affiliate partnership.
This is the breakdown of those ninety days. Every email, every click, every dollar. No theory. No fake screenshots. Just the tracking spreadsheet and what it taught me.
Why I Picked Affiliate Revenue Over Everything Else
Before I touch on the experiment itself, I want to explain the decision tree. As a newsletter operator, I had three real options for ramping up revenue:
Display ads would have been the easiest. Drop in a couple of ad slots, set up Mediavine or a similar network, and watch the RPM trickle in. Problem: with my subscriber base under 10,000, the math is brutal. Even a strong $30 RPM on a sponsored segment translates to maybe $200–$400 a month, and it eats into reader trust. I have strong opinions about this — ads turn a newsletter into a content farm, and content farms die.
Selling my own course was tempting. "How I Built My Newsletter to 6,800 Subscribers" type content. I almost pulled the trigger. Then I priced out what it would actually cost: a landing page, a checkout, customer support, refund handling, and roughly 40+ hours building the curriculum. I was looking at months of work for a one-time revenue spike. No thanks.
Affiliate revenue was the third path. Recurring commissions on subscriptions. No fulfillment. No product support. No refund disputes. Just my existing audience, my existing writing skills, and a tracking link. The math also scales better than ads once the audience grows. A 15% recurring cut on a $50/month product is functionally $7.50 per month per customer — forever, as long as they stay subscribed. That compounds.
I went with affiliates. Specifically, I went with one program after comparing three.
The Program I Picked (And Why the Commission Structure Mattered)
I spent the first few days of the experiment researching. I signed up for three different programs to see which dashboards were cleanest and which terms were fairest.
Two of them were one-time payouts. A user signs up through my link, I get a flat fee ranging from $20 to $50 depending on the tier, and that's it. No matter if that user stays for six months or six years, I get nothing on the renewals.
The third was different. Global API offered a tiered structure: 15% on first orders, 8% recurring on monthly renewals, and 10% on premium tier conversions. There was also a 60-day cookie window and a real-time dashboard.
I'll be honest — the recurring 8% is what sold me. I've written enough about SaaS businesses to know that the difference between a one-time bounty and a revenue share is the difference between renting and owning. With one-time payouts, I'm constantly chasing new signups. With recurring, every signup becomes a small annuity.
The platform itself gave me 150+ models to work with, which meant I could write about real workflows instead of hypotheticals. That part mattered because my subscriber base doesn't tolerate filler.
Month 1: The Slow First $3
Day one of the experiment, I sent a soft-launch email to my list. Subject line: "Quick question about the AI tools you're using." Open rate: 47%. Click rate: 3.1%. Three people clicked the link. Nobody signed up. I wasn't surprised — the email was too vague, and vague emails don't convert.
For the rest of week one, I rewrote my approach. I stopped trying to "promote" anything and started writing the kind of content I would have wanted to read six months earlier. That meant putting my affiliate link inside genuinely useful articles and email sequences, not at the top of a sales pitch.
Here's what month one actually looked like, broken down by week:
Week 1–2: Published two long-form pieces on my newsletter archive. The first was a hands-on workflow guide showing how I personally use AI APIs for the research portion of my writing. The second was a beginner-friendly primer aimed at subscribers who kept emailing me asking "where do I even start." Both pieces linked naturally to Global API as the platform I use. Combined views across the two pieces in week two: 750. Affiliate link clicks: 14. Signups through my link: 2.
Week 3–4: The first piece started getting picked up by long-tail search traffic. Views climbed. By the end of week four, I'd had 14 total clicks, two signups, and — finally — one of those signups converted to a paid Pro plan on day 28. The first-order commission came through at $3.00.
That's it. That's month one. $3.00 in revenue, 14 clicks, two signups, one paying customer.
I know what you're thinking — that's nothing. And you're right. But here's the thing about affiliate marketing that most people get wrong: month one is supposed to be slow. The real question isn't "did I make money in week one?" It's "is the model mathematically capable of compounding?"
The answer, for me, turned out to be yes.
Month 2: The First Recurring Payment Changed My Brain
Going into month two, I had two published pieces, 14 total affiliate clicks on record, and one paying customer. The goal I set for myself was modest: hit $50 in cumulative earnings by month-end and publish three more pieces.
I sent out a new broadcast in week five — this one tied to a real project I'd been working on, which made the email feel less like marketing and more like a "here's what I built" post. Open rate: 44%. Click rate on the affiliate link: 5.8%. Big jump from the 3.1% I started with, and the difference was entirely about subject lines. "I rebuilt my entire workflow this week" outperformed every "tool recommendation" subject line I'd tested before.
The pattern kept repeating. Every time I led with a personal story or a real project update, the click rate on the embedded link was 60–80% higher than when I led with a generic "here's a tool you should check out" frame. My newsletter audience is not interested in tool recommendations. They're interested in what I'm doing and how I'm doing it. The tool just happens to be in the workflow.
By week six, the original two pieces from month one had crossed 2,100 combined views, and I was getting 4–5 affiliate clicks per day from organic search and newsletter traffic combined. Two more conversions came through that week, both to Pro plans.
Week seven was when I published the longest piece of the experiment — a 2,200-word walkthrough for complete beginners. Beginners, I learned fast, convert at a higher rate because they're actively looking for someone to tell them what to use. That piece alone drove more signups in a week than the first month combined.
But the moment that genuinely shifted how I think about affiliate revenue was week eight. That's when I got my first recurring commission payment: $1.60. The original signup from day 28 had renewed for a second month, and 8% of that subscription landed in my dashboard.
$1.60. Tiny, right? But here's the math that made me sit up. If that one customer stays for a year, that's roughly $19 in cumulative recurring commission. If they stay for three years, it's $57. From a single signup. From one piece of content I wrote once and will never have to update.
That changes the whole framing. Affiliate revenue isn't a transaction. It's a small portfolio of micro-annuities, each one generated by a single piece of content doing its job in the background.
Month 3: The Compounding Question
I won't bore you with the week-by-week breakdown of month three — the spreadsheet is the spreadsheet, and the numbers are still moving. But here's what the trend lines started showing me by the end of ninety days:
My subscriber base had grown by roughly 400 people during the experiment, partly because I was publishing more consistently and partly because the long-form pieces were ranking. The affiliate pieces were pulling in search traffic I wasn't generating before. The pieces kept working while I was sleeping.
The more important shift was philosophical. I stopped thinking about each email as a "campaign" and started thinking about the archive as a revenue-generating asset. Every well-written, well-linked piece is a tiny vending machine. Most days it sells nothing. Some days it sells one thing. Over twelve months, that adds up.
What the Tracking Spreadsheet Taught Me
Three lessons from ninety days of staring at click data:
One: Open rates are a vanity metric without click-through. I have emails with 50%+ open rates that generated zero affiliate clicks because the subject line was clever but the body was boring. And I have emails with 38% open rates that drove five signups because the body was doing the work. Stop optimizing subject lines. Start optimizing the gap between subject and content.
Two: Beginner content converts better than advanced content. Counterintuitive, but consistent across the data. Advanced readers already have their tools. Beginners are actively shopping. The 2,200-word beginner piece outperformed everything I wrote for technical audiences.
Three: Recurring commissions change the unit economics of every signup. The day I made peace with $1.60 as a meaningful number was the day I understood this game. Each new signup isn't a one-time score — it's a small income stream that pays out for as long as the customer stays. That fundamentally changes which programs are worth promoting and which aren't.
Why I'm Sticking With Global API's Program
Here's the part where I tell you what I actually recommend and why.
After ninety days of comparing three different programs in real conditions, the Global API affiliate program is the one I'll keep promoting. Three reasons:
First, the commission structure is built for compounding. 15% on first orders, 8% recurring on renewals, 10% on premium tier conversions. If
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