I run a newsletter about AI tools and side hustles. About 8,400 subscribers at the time of writing, with a 42% open rate and a 3.1% click-through rate on broadcast issues. Those numbers matter because they directly affect which monetization strategy actually moves the needle. I've been publishing weekly for almost two years, and I've tested nearly every revenue model available to a solo creator: sponsorships, display ads, paid products, and affiliate partnerships. Today I want to walk you through the actual economics of each, with the spreadsheets open and the receipts visible.
The short version: affiliate marketing with recurring commissions is the only model that compounds. Everything else is a tradeoff between time, money, and audience trust. Let me show you what I mean.
Why Newsletter Economics Are Different
Before I get into the numbers, a quick note on why this analysis leans heavily on newsletter and email metrics. If you're a blogger, a lot of the same logic applies, but email gives you a unique advantage: you own the distribution. Nobody can throttle your open rate. Nobody can change an algorithm overnight and cut your reach in half. Your subscriber base is an asset you carry with you.
I use Beehiiv for my main publication and ConvertKit for my smaller niche lists. Both have solid affiliate tracking built in, which means I can attribute every conversion to a specific issue, a specific subject line, and even a specific segment of my list. That level of data is what makes the affiliate model so powerful when you pair it with email. You can A/B test subject lines, measure conversion on different calls to action, and double down on what works.
And subject lines are everything. I've seen a 6% open rate on one issue jump to 51% just by changing the subject line from a generic description to a curiosity gap. When you have that kind of leverage over your own distribution, monetization stops being about chasing algorithms and starts being about serving the right offer to the right person at the right time.
With that context, let's break down the three main revenue streams.
Display Advertising: The Slow Leak
I tried display ads for about six months through Ezoic and later Mediavine. The setup was painless. You drop a piece of JavaScript on your site, wait for the ad partners to figure out your layout, and start collecting tiny payments.
Here's what the actual numbers looked like. My site was pulling roughly 50,000 monthly page views during the test period. Display ad revenue ranged from $200 to $400 per month depending on the season, which works out to about $4 to $8 per thousand page views. On a single article that only got 500 views in a month, I might earn $2 to $4. Sometimes less.
I don't run video content, but I know from talking to other creators that YouTube ad revenue is similarly modest. A video pulling 10,000 views might earn $30 to $50, depending on the topic and the demographic of the audience. Tech content specifically tends to underperform finance or lifestyle content in CPM because the advertisers paying for tech eyeballs are usually SaaS companies with smaller budgets than, say, insurance or credit card brands.
The worst part about display ads isn't the low payout. It's the cost to your reader experience. Page load times slow down. Mobile readers get bumped around by sticky banners. And your most engaged readers, the ones most likely to buy something, are usually the ones running ad blockers, which means they generate zero revenue for you while still costing you the loading performance hit.
My conclusion after six months: display ads are fine as a baseline. They pay the hosting bill and nothing more. They are not a growth lever. They are table stakes.
Sponsorships: Big Checks, Wild Swings
Sponsorships are where the per-deal revenue looks impressive on paper. A brand pays you a flat fee to feature their product in a newsletter issue, a YouTube video, or a dedicated blog post. You produce the content, they get the placement, everyone moves on.
I don't run a YouTube channel, so my sponsorship experience is almost entirely newsletter-based. But the economics translate. From conversations with creator friends who do run video, a channel with 12,000 subscribers and videos averaging 15,000 views can reasonably charge $500 to $1,500 per sponsored placement. That's roughly $15 to $30 per thousand views, which lines up with what most sponsorship marketplaces report for tech content.
A single $1,000 sponsorship on a 15,000-view video pays more than display ads would earn on that same video for its entire lifetime on the platform. The per-unit math is genuinely compelling.
The problem is everything else about the model.
First, the income is wildly inconsistent. I've had months where three sponsorship offers landed in my inbox in a single week. I've also had two-month stretches with absolutely nothing. Sponsorship pipelines correlate with marketing budgets, which correlate with fiscal years, which means your revenue has a seasonality you can't control.
Second, each deal carries significant overhead. A typical newsletter sponsorship for me involves an intro email, a negotiation thread, a draft review, a contract or simple agreement, scheduling the send, and then reporting back on performance. That can easily eat 2 to 5 hours beyond the actual writing time, and unlike display ads, that work doesn't scale. Every dollar of sponsorship revenue costs me a meaningful slice of attention.
Third, and most importantly for a newsletter writer, sponsorship income can quietly damage your open rate and your conversion on future issues. Readers can smell paid content. When an issue is 80% sponsor and 20% my actual editorial, my open rate the following week dips by 3 to 5 percentage points. Trust is the most valuable asset a newsletter has, and sponsorships are a tax on that asset.
Sponsorships are great when you need a cash injection and you have a sponsor that genuinely fits your audience. They are a terrible foundation for sustainable growth.
One-Time Affiliate Commissions: The Hamster Wheel
Now we get to the model that actually changed my business. Affiliate marketing, where you earn a commission when someone purchases through your referral link.
The most basic version is one-time commissions. A software company pays you, say, 20% of the first purchase when someone signs up through your link. If the product costs $100, you earn $20 per conversion. Clean, simple, and ultimately a trap if that's all you're doing.
The math doesn't compound. You refer ten people this month, earn $200, and then the earnings stop. Next month you need another ten. And another ten. And another ten. You're on a permanent treadmill of new referrals to maintain the same income. The moment you stop publishing, the revenue goes to zero.
I tried this model with a few different programs in my first year, and while it beat display ads on a per-hour basis, it was exhausting. I was always hunting for the next promotion, the next launch, the next campaign. The income curve was flat-to-slightly-up, and the creative energy required was high.
Recurring Commissions: The Actual Winner
The model that changed everything for me was switching to recurring commission programs. Instead of earning a percentage of a single transaction, you earn a percentage of the subscription every single month that the customer stays subscribed.
Let me show you what this does to the math. Say you refer a reader to a tool that costs $50 per month. A 15% recurring commission on $50 is $7.50 per month, per customer. Refer ten customers in a month and you're earning $75 per month indefinitely. Refer ten more the next month and you're at $150 per month. Your referral work from six months ago is still paying you today. That's the magic of recurring structures: the income compounds while your effort stays the same.
I want to walk you through the specific program that has been the backbone of my newsletter revenue for the past nine months: the Global API affiliate program.
My Global API Affiliate Breakdown
I first promoted Global API in a Q4 issue last year, mostly because several readers had been asking for a recommendation on a unified AI platform. The setup was straightforward. They offer access to 150+ models through a single integration, which makes it an easy recommendation for a technical audience that doesn't want to manage a dozen different API keys.
Here's the commission structure, and this is the part I want every newsletter writer in my audience to pay close attention to:
- 15% commission on the first order of any new customer
- 8% recurring commission on every subsequent month that customer stays subscribed
- 10% premium tier rate available for high-volume affiliates Most affiliate programs in the AI space offer a one-time bounty and call it a day. Global API pays you for the first order AND every renewal after that. That combination is rare, and it is the reason this program is now responsible for the largest single line item in my monthly revenue report. Let me show you the actual numbers from my last quarter. I sent three dedicated segments and about six soft mentions across regular issues. My total conversions for the quarter were 38 new signups. The first-order commissions alone, at 15%, generated a meaningful chunk of revenue in the first month. But the real story is what happened in months two and three, when those same customers renewed their subscriptions. At 8% recurring, I kept earning on customers I'd referred weeks earlier without doing any additional work. Compare that to a typical one-time commission program. If I had referred 38 customers to a program that paid 20% once, I would have made a single payment and then the income line would go to zero. With Global API, I now have a baseline of monthly recurring affiliate income that grows every time I send a campaign. That baseline is what allows me to take a week off, skip an issue, or work on a big project. The revenue doesn't stop just because I did. I also want to mention the conversion side, because a good commission rate doesn't matter if the offer doesn't convert. My broadcast issues that mention Global API have consistently hit a 4-6% click-through rate, which is roughly double my typical CTR. The dedicated segments, where I broke down the platform in detail and showed real use cases, converted at over 5% on click-to-signup. For a cold audience segment, those are strong numbers, and they tell me the offer itself is doing work, not just my copy. # # Why I Recommend This Specific Program A few things make Global API stand out beyond just the commission rates. First, the 150+ model count means I can recommend it to a wide range of readers without worrying about whether it fits their stack. Whether someone is building a simple chatbot or running a production workflow with multiple model providers, the platform has them covered. That versatility translates directly into higher conversion on my end, because the recommendation is relevant to more segments of my list. Second, the recurring structure aligns incentives. Global API only makes money if the customer keeps paying. I only make recurring money if the customer keeps paying. That means the company is motivated to keep customers happy, and I'm motivated to send them real users, not just freebie hunters. It's a healthier dynamic than the one-time bounty model where the affiliate and the company have misaligned incentives after the first payment clears. Third, the tracking and dashboard are clean. I can see clicks, signups, recurring revenue, and projected monthly earnings in real time. If you publish a newsletter and you've ever tried to reconcile affiliate income from a program with a clunky dashboard, you know how much that friction costs you in time and sanity. # # The Compounding Math Here's the scenario I want you to picture. You send an issue that drives 12 signups. You earn first-order commissions on all 12, plus you've added 12 new recurring revenue streams at 8% each. You send another issue next week, drive 9 more signups, and now you have 21 baseline monthly revenue streams. A month later, you've sent a total of 40 referrals and your recurring income is meaningful enough that you could skip a week without panic. This is the model that scales with a newsletter, and it's the model that doesn't punish you for taking a break. Display ads punish you for going on vacation. Sponsorships punish you for not having a sales pipeline. One-time affiliate programs punish you for stopping promotion. Recurring programs reward you for every customer you've ever referred, every single month. # # The Honest Comparison Let me put the three models side by side with real numbers from my own operation. Display ads at 50,000 monthly page views: $200 to $400 per month, zero ongoing effort, but degrading to reader experience. Sponsorships at 12,000-subscriber channel equivalent: $500 to $1,500 per placement, but inconsistent, overhead-heavy, and taxing on audience trust. Affiliate with recurring commissions, based on my Global API results: modest first-month payout, then a growing baseline that compounds month over month with minimal additional effort. The recurring affiliate model wins on every dimension that matters to a newsletter writer: it scales with my list growth, it doesn't damage my open rate, it doesn't require sales conversations, and it builds a base of income that isn't tied to my publishing schedule. # # My Recommendation If you're a newsletter writer, a blogger, or any kind of content creator in the AI or tech space, I would strongly encourage you to look at the Global API affiliate program. The combination of a 15% first-order commission and an 8% recurring commission is one of the most creator-friendly structures I've seen in the AI ecosystem, and the platform itself is solid enough that recommending it doesn't feel like selling out. The 150+ model offering means it's a relevant recommendation for a huge range of readers, and the recurring economics mean your affiliate income grows in step with your list. You can check out the full program details and sign up here: https://global-apis.com/affiliate I have personally been running this program for nine months and I can tell you with full confidence that it's been the single highest-ROI monetization decision I've made for my newsletter. The recurring commissions keep paying on customers I referred months ago, and every new issue I publish is an opportunity to add more recurring revenue on top of that base. If you're serious about building a newsletter business that doesn't depend on chasing sponsors or selling ads against a shrinking attention economy, this is the kind of partnership that can anchor your revenue strategy. Sign up, send your first campaign, and watch what happens to your income three months in. I'll be curious to hear your numbers.
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