eBay Product Research: What Should Sellers Analyse?

Most product research is confirmation bias with a spreadsheet. Someone likes a product, finds a number that supports it, and skips the maths that would have said no.

Three gates. A product has to clear all three.

Gate 1: demand

Use sold listings. Never active listings.

Active listings tell you what sellers hope to sell. Sold listings tell you what buyers bought. These are completely different datasets and confusing them is the most common research error.

What to look at:

• Sell-through rate. Sold divided by total listed. Below about 30% means most listings are not selling.
• Price achieved versus asking price.
• Volume, over at least twelve months.
• Seasonality. A category that looks strong in November may be dead for eleven months.

Gate 2: competition

Volume alone is meaningless without knowing who you are competing with.

• How many sellers are active in this category?
• Is it concentrated — a few sellers taking most of the sales?
• Do the top listings belong to established sellers with long feedback histories?
• Is there a dominant brand you cannot compete with?
• Are the existing listings actually good?

That last question is the interesting one. A moderately-demanded category served badly is a better opportunity than a high-demand category served well.

Gate 3: margin — where most products fail

Calculate all of it:

The last two are what turn an apparently profitable product into a loss. A 12% return rate on a thin-margin item can consume the entire margin, and promoted listing fees are a real per-sale cost once you are competing.

Model it per unit, honestly, before buying anything.

Validate small

Buy a small quantity. List it properly. Sell twenty units.

The data from twenty real sales is worth more than any research tool, because it includes the return rate, the message volume and the postage reality that no tool models.

Accept a no

Sometimes the research says do not. That is the research working — the cost is your time rather than a pallet of stock.

The sellers who lose money are rarely the ones who researched badly. They are the ones who researched, saw a marginal answer, and bought anyway.

Researching products before you commit sets out the process, and eBay vs Amazon for sellers covers where to sell once you have chosen what.