The monthly revenue review you can run entirely on the free plan

It is the last Sunday of the month and you know roughly what came in, in the way you know roughly how much petrol is in the car. Roughly is fine for a while. It stops being fine the moment you have to decide whether to raise a price, retire a product or spend a month building the next one, because all three of those questions have answers already sitting in your own sales data.

Why the number in your head is usually wrong

Revenue you remember is revenue with the good days in front. You remember the launch week and the person who bought three things at once. You do not remember the eleven quiet Tuesdays, and you certainly do not remember which product they belonged to. Memory is a highlight reel, and highlight reels make you build more of whatever felt exciting rather than more of whatever sold.

The awkward truth about the Free plan is that it does not include the full analytics view, so you cannot sit and read views against buyers per product the way a Starter or Pro creator can. That is a real limit and it is worth saying plainly rather than talking around. What Free does include is arguably the more valuable half: the customer list builds itself from every purchase, membership and free download, it shows lifetime value per person, and it exports in full to CSV. Sales data is what a review actually runs on.

So the trade is an hour of your own time in place of a subscription, at least until the store is big enough that the hour costs more than the plan. You can see where the line sits for you on the pricing page.

Guessing versus a dated review

The point of doing this on a fixed date is not tidiness. It is that a monthly cadence gives you something to compare against, and comparison is the only way a single month means anything.

The hour, step by step

Block out sixty minutes on the same date each month. The first time will take longer because you are building the sheet; after that it is genuinely about an hour.

What an hour actually turns up

Imagine three months of exports side by side. The £12 workbook earns steadily and unremarkably every month. The £89 intensive earned nothing in month one, a lot in month two and nothing in month three. Read as three separate months, that looks like an unreliable product you should probably drop. Read as one sheet, it looks like a product that sells when you talk about it and sits still when you do not, which is a marketing schedule problem rather than a pricing problem.

Then you sort by email and find that a third of the people who bought the intensive had bought the workbook first. That single fact reprices both products. The workbook is not a small earner, it is the thing that produces intensive buyers, and pricing it lower on purpose may now be the correct decision. Nothing in a dashboard headline would have shown you that, and nothing about it required a paid plan.

The mistake most people make

They review revenue and ignore people. Revenue is a single number that goes up or down and tells you almost nothing about why, whereas the same file sorted by email tells you whether you are building an audience or renting one. A month where revenue held steady but repeat buyers doubled is a good month. A month where revenue jumped on a wave of first-time buyers who never returned is a month you cannot repeat on purpose. The second mistake is exporting without a routine, so that the files never line up and you can never compare. If you have an old list from somewhere else, you can bring it in first by importing a CSV so that your history starts complete rather than at zero.

The review is dull, which is exactly why it works. Nobody is going to be inspired by an hour with a spreadsheet on a Sunday, and nobody needs to be. Twelve of those hours give you a year of evidence about what people actually buy from you, and that evidence will outlast any plan, platform or launch you happen to be running at the time.