Chrome extension income: thinking in ranges by install count

Where installs actually sit

From 65,655 extensions in our crawl, observed 3 Oct 2026. Rows don't cover every band: 11,709 sat between 100 and 999 users, and 9,637 showed no count.

So a tool with 10,000 users is in the top 12% of what we've crawled. Sobering. For the full picture of how extensions earn, read our main earning guide.

Our crawl had store data for 65,655 extensions as of 3 Oct 2026. The shape should hold, but these aren't store-wide counts.

The Chrome extension income sum

Write it out. Mark every guess, and compare it with what founders report as revenue:

Income per month = users × share who pay (guess) × monthly price

Say you have 10,000 users and charge a monthly plan. If you guess a low share pays and a higher share pays, you get two numbers. That pair is your range.

Keep the guessed share in the same sentence as the result. It stops a guess turning into a fact by the third retelling.

What moves the share who pay

• Work tools tend to convert better than fun tools, because someone's job depends on the task.
• A clear free limit gives people a reason to upgrade.
• Daily use keeps subscribers from forgetting and cancelling.
• Trust signals like a refund policy and a support address help a cautious buyer.

None of these come with a published conversion rate, and any article that hands you one without a link to where it came from is asking you to plan your rent on somebody else's hunch.

A worked range, with every guess labelled

Here's the sum run for a made-up tool with 10,000 users and a monthly plan. The share who pay is a guess in both lines, and so is the share of users who are active.

Multiply the paying users by your monthly price and you have your range. Notice how far apart the two lines end up. That gap is normal. It's the honest size of what nobody knows yet.

Once you have real paying users, replace both guesses with your own numbers. A range built on your own data beats any average from someone else's niche.

Costs come out first

Income isn't what you keep. Before you plan around a range, list what comes off the top.

• Payment fees from your provider, usually a percentage plus a fixed amount per sale.
• Hosting, if the tool calls your server.
• AI or API costs, which scale with use, not with users.
• Tools and services, like email, analytics and error tracking.
• Your time, for support, updates and fixes after Chrome changes.

AI tools deserve a special look. Heavy users can cost far more than light ones, so a flat monthly price can lose money on your best customers. Our guide to Chrome extension profit goes through the costs in detail.

Income by pricing model

How you charge changes the shape of income over time, not just the size.

In our 3 Oct 2026 crawl, the most common payment hosts linked from listings were ExtensionPay (164), Gumroad (138) and Lemon Squeezy (111). That tells you plenty of small builders use these routes. It doesn't tell you what any of them earn. Our monetization guide compares the models side by side.

Moving each input

Each part of the sum has its own levers. It helps to work on one at a time.

1. More usersa clearer listing, a search page for each problem, honest community answers.
2. More active usersa useful first run, so people don't install and forget.
3. A higher share who paya clear free limit tied to heavy use.
4. A better pricecharge for the outcome, and test one change at a time.

Write down which input you're working on each month. Our New launches page is a handy way to see how young tools in your niche are doing on the first input. It keeps you from changing everything at once and learning nothing.

Income by niche: where the base is bigger

Since income starts with users, it helps to know how big the audience is in your niche. Here are a few we track, from our 3 Oct 2026 crawl.

A smaller niche can still earn well. LinkedIn lead tools have a far smaller audience than PDF tools, but their users are sales people whose jobs depend on the task. A higher share may pay, and at a higher price. Our LinkedIn lead tools niche page lists every tool in the group.

Mistakes that inflate an income estimate

It's easy to fool yourself with the sum. Watch for these.

1. Using store users as active usersThey're installs, and many sit idle.
2. Borrowing someone else's conversion ratefrom a different niche.
3. Forgetting churn, so subscribers seem to pile up forever.
4. Ignoring costs, especially AI calls.
5. Planning on the hopeful line

Fix these and your range will be lower but much more useful.

Checking your range after launch

Once you have paying users, compare reality with your guesses every month. Replace each guess with a real number as soon as you have it. After three months, you'll have your own conversion rate, which is worth more than any figure from a blog post, this one included.

Users aren't all active

The store's user count is a rounded figure, and it isn't the same as people who opened the tool this week. Google's metrics page says the dashboard Users stat counts installations and doesn't track activity.

Treat it as an upper bound for your sum.

Watch the window for a week, then count who walks in.