Substack Pricing Calculator
Enter your audience size and an expected conversion rate to compare estimated revenue across common price points. Free, no signup.
Compare price points
At this rate, that's 100 paid subscribers, regardless of price.
| Price/mo | Monthly revenue | Yearly revenue |
|---|---|---|
| $4 | $400 | $4,800 |
| $5 | $500 | $6,000 |
| $6 | $600 | $7,200 |
| $7 | $700 | $8,400 |
| $8 | $800 | $9,600 |
| $9 | $900 | $10,800 |
| $10 | $1,000 | $12,000 |
| $12 | $1,200 | $14,400 |
| $15 | $1,500 | $18,000 |
| $20 | $2,000 | $24,000 |
Assumes the same conversion rate at every price point, which isn't realistic - higher prices typically convert somewhat lower. Use this to compare the math, not as a prediction of what you'd actually see at each price.
Why this table shouldn't be read as a prediction
The table deliberately holds your conversion rate constant across every price point from $4 to $20, which isn't how pricing actually works in practice - higher prices typically convert a smaller share of your audience, even if the revenue per subscriber is higher. Real price sensitivity is specific to your own audience and can only be learned by actually testing a price change, not calculated in advance.
What this table is genuinely useful for is seeing the math side by side: how much total revenue would change at each price point if conversion held steady, so you can reason about the trade-off before deciding whether a price test is worth running at all.
Questions
Will my conversion rate really stay the same at every price?
No - this is the table's main simplification. Higher prices typically convert a smaller percentage of your audience in practice. The table holds the rate constant on purpose, to isolate the pure math, not to predict real behavior.
What's the best price for a Substack subscription?
There's no universal answer - it depends on your niche, audience size, and perceived value. Many newsletters cluster around $5-$10/month, but that's a common pattern, not a rule.
Should I test a price change based on this table?
Use it to understand the revenue trade-off in theory, then validate with a real test on your own audience if you're considering a change - actual conversion behavior can only be learned from real data.
How can I see what actually happens after a price change?
NotesIQ tracks your real subscriber growth over time automatically, so you can compare your actual trend before and after a price change instead of relying on an assumption.