How to Price Your Products Using Your Sales Data

To price a product using your sales data, start with a floor built from your real costs, then look at how your sales actually changed the last time the price moved. That reaction, called price elasticity, tells you whether a higher or lower price would make more total profit. Competitor prices and gut feel can give you a starting range, but only your own sales history tells you what your customers will pay.

Why Most Products Are Priced by Guesswork

Most products get priced once, at launch, with cost-plus math and a glance at what similar products sell for. That's a reasonable starting point, but it never answers the question that matters: would this product make more money at $79 or at $89? Nothing about cost-plus or a competitor's price tag can tell you.

It matters more than it looks. In McKinsey's "The Power of Pricing" analysis, a 1% price rise with volume holding steady produced roughly an 8% increase in operating profit for the average S&P 1500 company, a bigger effect than a 1% cut in variable costs or a 1% increase in volume. Pricing is usually the biggest profit lever a store has, and the one it spends the least time on.

Step 1: Set Your Price Floor

Before thinking about what customers will pay, know what a sale actually costs you. Add up, per unit:

• Landed product cost (including inbound shipping and any duties or tariffs)
• Payment processing and platform or marketplace fees
• Outbound shipping and packaging you don't pass on to the customer
• A returns allowance, since some share of what you sell comes back. Return rates range from single digits in beauty to 20-40% in apparel, depending on the category.

That total is your floor. Price at or below it and every sale loses money before you've paid for ads or your own time. The free profit margin calculator works this out for a Shopify product in a minute.

Step 2: Find Your Starting Range

Look at what comparable products sell for, but treat it as a range to test inside, not an answer. A competitor's price reflects their costs, their brand and their customers, not yours. Two stores selling the same item can each be right at different prices if their customers arrived through different channels. Competitive pricing strategy covers when it makes sense to sit below, at or above that range.

Step 3: Read What Your Sales History Already Tells You

Every time a product's price has changed, your customers told you something about how much they care about price. Here's how to read it, with a worked example.

Worked example. A product costs you $20 all-in. At $49 it sold 100 units a month. After you raised it to $59, it sold 55 units a month.

	At $49	At $59
Units per month	100	55
Revenue	$4,900	$3,245
Profit per unit	$29	$39
Total monthly profit	$2,900	$2,145

The higher price made $10 more on every unit and still lost $755 a month, because sales fell faster than price rose. Using the midpoint method, units fell about 58% while price rose about 18%, an elasticity of roughly -3.1. That's highly elastic: these customers are very price-sensitive, and this product probably belongs at or even below $49, not above it.

Now imagine the same increase had only dropped sales to 85 units. Profit at $59 would have been $3,315, well above the $2,900 at $49, and the right move would be to keep the higher price and maybe test further. The same $10 increase can be a mistake or a win. Only the product's own sales data tells you which. The full method, including the midpoint formula, is in the price elasticity of demand formula.