Exact match found

When we can’t read a figure we estimate it, and we say so beside it. Shopify doesn’t publish any store’s sales, so we read what’s public and turn it into a range. All of it can be wrong.

• Stock counters. Some product pages carry a stock counter that has gone below zero. We add up how far below and read that as units sold. Shopify doesn’t say that’s what it means, and it can include test orders. One order can hold several units.
• Best-selling order. Shopify lists best sellers by all-time orders, and a store with no sales newest first. We take products with equal orders to go newest first too, which Shopify doesn’t state. So when the list turns newer on the way down, the product above has probably sold more. We count those turns and widen the count into a range, or say it could be far more. A figure for a whole store is scaled up from one other store’s counters, so it’s rough.
• Reviews. With neither of those, we turn a product’s reviews into a rough rate of orders. Reviews can be imported, so they count for less.
• One post’s reach. With none of those, we take the seller’s biggest post, its views or what its likes suggest, and apply order rates other sellers reported. Those are mostly success stories, so the real number could be near zero.
• Sales with none of that. We turn the demand estimate into a very rough monthly number of orders, moved up or down by the product’s place in its store’s best sellers. Nothing has checked it against real sales.
• Demand. With too little to score, we go by what its listings have sold, how many stores and posts show it, and the store’s reviews and rank, on the same scales as the real score. These are weak signs, so an estimate like this stops at moderate.
• Supplier price. With no price on a listing, we take what similar listings ask. With none of those, we take what that kind of product usually costs on CJ Dropshipping, going by an AI’s reading of your product. The real one may be far off.
• Shipping. With no quote, we take the cheapest line CJ Dropshipping quotes to the US for the listing’s stated weight, or for that kind of product’s usual weight. It’s another seller’s price, so yours will differ.
• Selling price and profit. With no price for this product, we take what similar stores charge, and only with none of those a price worked out from the cost. The profit follows from that, and it can come out as a loss.

When signals disagree, the stronger one leads and we never average them. Money is at list prices, before ads, refunds and costs.