The price is right: an insider's look at how pricing works at sellpy

When you are scrolling through millions of second-hand items on Sellpy, you might occasionally wonder how the prices actually get set. Who decides what a vintage Levi's jacket is worth compared to a brand-new fast-fashion t-shirt?

Whether you are a buyer looking for a great deal or a seller wanting to maximize your closet clean-out, understanding the mechanics of our pricing model is the ultimate hack. At Sellpy, we believe in total transparency. Here is an exclusive, insider's look at exactly how our pricing works.

1. The power of the algorithm

We don't just guess what an item should cost. Our prices are set by a highly intelligent algorithm trained on millions of items previously sold on Sellpy. Because we have years of historical data on what shoppers are actually willing to pay, the algorithm can pinpoint the fair market value for almost any item—allowing us to offer affordable, realistic finds in all price ranges.

2. The big three: brand, condition, and category

When our team processes your blue bag, the algorithm looks at three major factors:

• Brand: premium, sought-after brands (like Toteme, Acne Studios, or Nike) trigger a higher starting price than basic high-street labels.
• Condition: a brand-new item with tags is priced higher than an item in "Good" condition with visible wear.
• Category: heavy winter coats and genuine leather boots carry a higher baseline value than lightweight summer tank tops.

3. The dynamic price drop

Sellpy prices are not static. The system keeps items moving—if an item doesn't sell right away, the algorithm gradually and automatically drops the price over time. This is why the "Favorite" button (the heart icon) is so important: you'll get an instant notification the moment the price drops on an item you love.

4. You are always in control

While our algorithm sets the optimal starting price, you are never locked in. Once your items are processed and registered in your seller profile, you have full control to manually adjust prices up or down before they go live.