The Pool Problem: Why Unlimited Subscription Models Are a Losing Bet for Most Writers
A Great Deal for Readers. A Math Problem for Writers.
Here's the pitch that's worked on millions of readers: pay one flat monthly fee, get unlimited access to everything. It sounds generous. It feels fair. And for readers, it genuinely is a pretty good deal.
For writers, though, the arithmetic underneath that deal is worth examining closely—because the 'unlimited access' model contains a structural flaw that quietly limits how much most creators can actually earn, no matter how good their work is.
How the Revenue Pool Actually Works
Let's use Medium's Partner Program as a case study, since it's the most documented version of this model in the creator space.
Medium charges subscribers a flat monthly fee (currently around $5/month or $50/year). A portion of each subscriber's payment goes into a pool. That pool gets distributed to writers based on engagement metrics—primarily reading time from paying members.
The critical thing to understand: you're not earning from your readers. You're earning a share of the collective pool based on your relative performance against every other writer on the platform.
This means your earnings aren't determined by how much your audience values your work in isolation. They're determined by how your engagement metrics compare to everyone else's engagement metrics, in the same month, across the entire platform. A viral post by someone else literally reduces your share of the pie.
A writer named Dana, who spent three years building a loyal readership in the genealogy research niche on Medium, described it this way in a conversation with EOS Writer: "I had 4,000 followers who genuinely loved my content. My open rates were insane. But my earnings were embarrassing because I was being measured against people writing about AI and crypto who were getting millions of impressions. The pool doesn't care that my readers were loyal. It cares about volume."
The Niche Creator Penalty
This is where the model becomes particularly brutal for specialists.
If you write about, say, sustainable aquaculture, antique watch restoration, or academic philosophy, you're probably not going to generate the raw read-time volume that a generalist tech blogger does. But your readers might be far more engaged, far more likely to act on your recommendations, and far more willing to pay specifically for your content.
Under a pooled model, none of that loyalty translates into proportionally higher earnings. Your 500 deeply engaged readers are worth the same as any other 500 readers in the pool math—except they're probably generating less raw read-time than someone with a more casual, high-volume audience.
Substack's model is somewhat different—it's a direct subscription tool rather than a pooled revenue system—but it introduces its own version of the same problem. When readers pay for 'bundles' or discover content through Substack's recommendation network, the platform increasingly mediates the relationship between writer and reader in ways that benefit high-volume creators disproportionately. Recommendations flow toward newsletters with large existing subscriber counts. Discovery favors the already-discovered.
What the Numbers Look Like in Practice
Let's run a simple comparison.
Scenario A: You have 500 true fans on a pooled platform. Your monthly earnings from the pool, even with strong engagement, might realistically land between $200 and $600—depending on what else is happening across the platform that month. Your income is variable, platform-dependent, and disconnected from the direct value your readers place on your work.
Scenario B: Those same 500 readers pay $10/month directly to access your on-chain published content, with payments handled via smart contract. Your monthly gross: $5,000. Even after platform fees and gas costs, you're in a completely different income bracket—and your earnings don't fluctuate based on whether someone else had a good month.
That's not a hypothetical gap. Writers who've made this transition report it regularly.
Marco, a freelance technology writer who migrated from Medium to a direct on-chain model in 2023, told us his per-reader earnings increased by roughly 8x in the first six months after switching—despite his total audience actually being smaller than it was on Medium. "I stopped optimizing for impressions and started optimizing for the people who actually cared," he said. "Those are very different audiences, and the economics are completely different too."
Why Direct Monetization Changes the Game
Blockchain-based publishing platforms built around direct monetization—token-gated content, smart contract subscriptions, NFT-based access passes—bypass the pool problem entirely by design.
When a reader pays directly for your content, the transaction is between you and them. There's no platform algorithm deciding how to redistribute that payment based on relative engagement scores. There's no viral post by a stranger eating into your monthly check. The value your readers assign to your work is the value you receive.
Smart contracts also enable structures that traditional platforms can't replicate. You can build tiered access models—a free tier, a paid tier, a premium tier—with rules that execute automatically and transparently. You can set up revenue splits for collaborative pieces. You can create time-locked content or early-access perks for your most loyal subscribers. All of it runs without a platform intermediary taking a cut of the logic.
The Honest Tradeoff
None of this means pooled subscription platforms are worthless. For writers just starting out, they offer discoverability infrastructure that's genuinely hard to replicate from scratch. The Medium Partner Program has helped a lot of writers find their first audience.
But there's a point in every writer's growth where the pooled model stops serving them—where the audience is real, the loyalty is proven, and the platform's math is the main thing standing between the writer and what they've actually earned.
Knowing where that inflection point is, and having an on-chain alternative ready when you hit it, is the kind of financial planning most platforms would prefer you didn't do.
Do it anyway.