Most "7-figure" stores you see flexing on X are doing a fraction of the volume they claim. Screenshots get faked, revenue gets rounded up, and "we did $2M" quietly means $2M in total sales across three years. If you are going to compete with a store, or copy its product, you need the real number. Not the flex number. The real one.
Here is a trick that reveals almost any Shopify store's true daily order volume, for the price of a coffee. It works because most stores number their orders sequentially, and every customer sees their own order number.
The method
- Order the cheapest thing they sell. Shipping protection, a digital add-on, a sample, a $2 to $3 nothing item. You are not buying a product, you are buying a timestamped order number.
- Write down your order number. It is on the confirmation page and the email. Say it is #1047.
- Wait exactly 24 hours. Precision matters, because you are measuring a rate, not a total.
- Order the same cheap item again. New order, new number. Say it is #1283.
- Subtract. 1283 minus 1047 = 236 orders in 24 hours. That is their real daily volume.
From one number you can back into almost everything: multiply daily orders by their average order value for daily revenue, watch the number over a week to see if they are climbing or dying, and compare it against their "we did $50K today" claims. The math rarely agrees with the marketing.
What 236 orders a day actually tells you
| You learn | How to read it |
|---|---|
| Exact daily order volume | 236 orders a day is a real, mid-scale store. Not the empire the ads imply, not nothing either |
| Estimated daily revenue | 236 times their AOV. If they sell a $40 product, that is roughly $9,400 a day gross, before ad spend and product cost |
| Whether a product is saturated | Very high volume on a product you were about to launch means the market is already flooded, expect brutal CPMs. Low volume can mean early opportunity or a dud, confirm with the trend |
| Best timing to launch against them | A number climbing fast means the wave is still building, ride it. A number that peaked and is falling means the trend is dying, do not jump on a sinking product |
Read it right: the traps
Order numbers are powerful but not always clean. Sanity-check before you trust the number:
- Vanity start numbers. New stores often start order numbers at #1000 or even #5000 to look established. That does not affect the gap between two orders, which is all you care about, so the method still works. You are measuring the difference, not the absolute.
- Order-number randomizers. A minority of stores install apps that scramble or pad order numbers specifically to hide this. Tell-tale sign: wildly inconsistent gaps, or non-sequential formats. If the numbers look random, abandon the read for that store.
- One reading is a snapshot, not a trend. A single 24-hour gap can land on their best or worst day. Take three readings across a week and average them. That is the difference between a data point and a decision.
- Multi-channel skew. The count includes every order, not just the ones from the ad you saw. A big number might be email, retention, or a viral moment, not cold traffic you can replicate.
How I actually use this
Before I commit creative and budget to a product, I want to know if the pond is already fished out. If three competitors are each pushing 200-plus orders a day on the same product, the market is saturated and my CPMs will pay for their head start. If the volume is modest and climbing, the wave is still building and there is room to ride it. That read decides whether I launch, and the launch itself runs on the 4-day scaling method. Intelligence first, spend second.
This is standard competitive research using information every customer already receives. Keep it to the cheapest legitimate order, do not abuse refunds, and treat the number as a signal to combine with product trends and ad-library data, not gospel on its own.