A higher price can reduce conversion. A lower price can increase orders while reducing the amount each order contributes to the business.
That is why an ecommerce pricing decision should not begin with “What are competitors charging?” It should begin with the economics of the SKU, then use market evidence and controlled tests to decide whether a different price improves the business.
Control Four Dials Instead of Searching for One Perfect Price
A price change should be evaluated against both sales volume and the dollars left after variable selling costs.
Build the Cost Stack for One Order
A product’s purchase or manufacturing cost is only the beginning. For pricing decisions, identify costs that are triggered or materially affected when another unit sells.
The SBA’s current break-even framework follows the same underlying principle: fixed costs are separated from the difference between selling price and variable cost per unit when estimating break-even volume. :contentReference[oaicite:0]{index=0}
Create a Pricing Floor From Your Own Economics
A useful internal pricing floor can be built from the costs that remain after every sale. It is not a legally required formula and it does not tell you what customers are willing to pay.
If some costs are fixed dollar amounts per unit and others are calculated as a percentage of selling price, this model can help evaluate a proposed price:
The denominator must remain positive. More importantly, the resulting price still needs to make commercial sense in the real market.
See What a Discount Does Before Publishing It
Consider a hypothetical product with $27.80 of per-order costs that are not percentage-based. Assume percentage-based selling costs equal 8% of the selling price.
If the business is modeling a 30% contribution margin, the formula produces an illustrative price of approximately $44.84.
Separate Four Reasons for Changing a Price
This prevents a common pattern in which the store reacts to every competitor price movement even though its own product economics, fulfillment model and customer proposition are different.
Design Promotions Backward From the Minimum Acceptable Result
A discount that exists indefinitely stops functioning as a meaningful experiment. It can also make the supposed “regular” price difficult to defend as a genuine reference price.
Reference Prices Must Be Genuine
The FTC’s current Guides Against Deceptive Pricing say that a comparison with a seller’s former price can be legitimate when that former price was an actual, bona fide price offered openly in the regular course of business for a reasonably substantial period.
The Guides warn that an artificial higher price established only to create the appearance of a later bargain can make the claimed reduction deceptive. They also state that terms and conditions attached to “free,” “2-for-1,” “50% off” and similar offers should be clear. :contentReference[oaicite:1]{index=1}
These are U.S. federal advertising guides. State laws and rules in other countries can impose different or additional requirements, so pricing compliance should be checked in every market where the business sells.
Keep Store, Feed and Checkout Prices Synchronized
A pricing experiment becomes an operational problem if customers see one number in an advertisement and another at checkout.
Google Merchant Center currently requires submitted product prices to match the landing page and checkout. For a sale, Google also requires the submitted sale price to match the sale price displayed to the shopper and be lower than the regular submitted price. Sale-price annotations have additional conditions that vary by market. :contentReference[oaicite:2]{index=2}
Test Price With a Business Metric, Not Conversion Alone
Suppose a lower price increases conversion. That sounds positive until the business checks how much contribution each visitor now generates.
Maintain a Pricing Change Log
A simple record prevents the team from forgetting why a price changed and makes later analysis much easier.
| Date | SKU / group | Old price | New price | Reason | Metric to review |
|---|---|---|---|---|---|
| Example | Product group A | $45.00 | $47.00 | Supplier cost increased | Contribution + conversion |
| Example | SKU B | $30.00 | $27.00 | Temporary demand test | Total contribution |
| Your entry | — | — | — | — | — |
Do Not Automate a Pricing Rule You Do Not Understand
Dynamic and automated pricing tools can react to competitor prices, inventory levels or demand data much faster than a person can.
Automation does not remove the need for guardrails. A poorly configured rule can lower prices below the intended contribution threshold, repeatedly match an unprofitable competitor, create customer confusion or publish prices that do not synchronize correctly across channels.
Before automation, define minimum and maximum permitted prices, the products that may participate, the data source driving changes and the circumstances that require manual review.
Know the variable cost of the order, protect the required contribution, distinguish temporary promotions from structural price changes, maintain genuine reference prices and test demand with controlled experiments. The objective is not the highest possible price or the largest possible sales number — it is a price structure that can support the economics of the store.
Primary pricing references
The margin, break-even, reference-pricing and product-feed principles in this article were checked against current U.S. government and Google Merchant Center documentation.
The Avangard Credit Editorial Team publishes independent educational content about e-commerce payments, business financing, cash flow, borrowing costs, and financial decision-making for online businesses. Content is designed to explain concepts, tradeoffs, risks, and comparison methods using clear language and reputable public information. Avangard Credit is not a lender, broker, bank, financial adviser, tax adviser, or law firm, and does not provide personalized financial, tax, or legal advice.
