A price-menu example, not a market average
For illustration only, a creator might test a five-image set at $8 and a three-set bundle at $20. The bundle reduces the total price compared with buying three $8 sets separately. Whether that offer attracts buyers must be measured; neither price is a guaranteed selling price.
A custom request needs a separate quote because it may require new planning, shooting and editing. Include extra costs in the quote and agree the permitted scope before work begins. Do not promise services you cannot or do not want to provide.
Price from the amount you retain
If a platform takes 15%, a $10 eligible sale leaves $8.50 before your fixed costs and tax. To retain a chosen amount before those costs, divide it by the percentage you keep. For example, retaining $10 at a 15% commission requires about $11.77 in sales, subject to actual rounding.
Allocate the seller-plan charge and production costs to your trial budget. The first sale may not cover all monthly costs; a zero-sales month still has those costs.
Test prices without inventing demand
Keep the offer, preview and traffic source stable while testing a price when possible. Count completed purchases, refunds and revenue after fees. A lower price may generate more purchases, fewer purchases or no difference; it is not automatically the best choice.
Record how long each test runs and how many people saw the listing. Small samples can change sharply after one purchase. Avoid calling a short experiment proof of a universal best price.
- Use a clear start and end date.
- Track buyers and transactions separately.
- Include discounts and refunds in the result.
- Compare the time required to deliver each offer.
- Review renewal and repeat purchases before scaling a subscription offer.
Keep the menu understandable
Start with a manageable number of offers. State exactly what is included and avoid a long list of ambiguous upgrades. Add a custom-order option only when you can handle the communication and delivery work.
Previous versions described going rates and optimal prices without publishing a supporting dataset. Those assertions have been removed; this guide provides a pricing method and clearly labelled examples.