What a 20-Year eBay Seller
Looks for Before Listing Any Product

Most eBay sellers list first and think later. The listing goes live, impressions are low, conversion is zero, and two weeks in they’re adjusting the price hoping that’s the problem. It rarely is. Here’s the process that happens before a single listing goes live — and why most sellers skip the steps that matter most.

Before this goes live — there’s a process most sellers skip entirely
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maibo.uk

I listed my first product on eBay in 2008. At the time, the process was simple because the platform was simpler — get a photo, write a description, set a price. The competition was thinner, the algorithm more forgiving, and the buyers less sophisticated. None of that is true anymore.

Today, before any product goes live on our eBay store, it goes through a sequence of checks that we’ve built and refined over 18 years of getting things wrong and correcting them. Some of these checks take two minutes. Some take longer. All of them exist because at some point we listed without doing them and paid for the omission in suppressed rankings, poor conversion, or platform penalties.

What follows is the actual process — not the idealised version, the actual one. Most sellers who struggle with visibility and conversion are skipping the majority of it.

Step 1 — Market Research Before Product Decision

The first check happens before the product is even sourced. We use ZIK Analytics to understand the market before committing to stock — not after.

What we’re looking for: sell-through rate, average sale price over the last 30 days, number of active sellers in the category, and — critically — how many of those sellers are actually making sales versus simply having listings. A category with 200 active listings and only 12 sellers recording sales in the last month tells you something very specific: it looks competitive but it’s actually a graveyard. The 12 sellers who are converting have something the other 188 don’t. You need to know what that is before you list.

The second layer of market research is eBay’s own completed listings — filtering sold items for the last 90 days and looking at the price distribution. If most sales are clustering at a price point you can’t profitably reach, that’s the answer to whether you should enter the category. If there’s a gap — sold items at premium prices, suggesting buyers reward quality or reputation over minimum price — that’s where to focus.

This step takes 20–30 minutes per product. Most sellers skip it entirely. They source first, then list, then discover the market economics when the listing doesn’t convert. That sequence is the wrong way around.

Step 2 — Title Construction: Customer Language, Not Product Language

The eBay listing title is 80 characters. It is the primary field Cassini — eBay’s search algorithm — uses to match your listing to buyer searches. Those 80 characters are the most commercially important text in the entire listing, and most sellers fill them with product language rather than buyer language.

Product language sounds like: “HyperX Cloud III Gaming Headset 3.5mm Wired Over-Ear Black Red.” That’s accurate. It’s also incomplete. Buyer language includes the terms people actually search — and those terms vary significantly by category and buyer type.

The process: before writing any title, search the product on eBay and look at the top-converting listings — not the top-ranking ones, the ones with the most sold indicators. What words are they using that the weaker listings aren’t? Then cross-reference with ZIK’s keyword data for the category. The pattern that emerges tells you which terms buyers in this specific category actually use. A gaming headset buyer searches differently to a professional audio buyer. A parent buying earphones for a child searches differently to an audiophile. The title needs to speak to your actual buyer, not to a generic description of the product.

One rule that never changes across categories: every character in the title should earn its place. Filler words — “amazing,” “great,” “top quality,” “fast dispatch” — consume space that belongs to searchable terms. eBay buyers don’t search for “amazing gaming headset.” They search for “HyperX Cloud III PC PS5 wired headset mic.” That’s what the title should reflect.

Step 3 — Item Specifics: The Field Most Sellers Treat as Optional

eBay’s item specifics — brand, model, MPN, connectivity type, colour, compatibility, condition — are weighted heavily by Cassini for two reasons: they enable precise filtering by buyers, and they signal listing quality to the algorithm. A listing with 3 item specifics completed versus 9 completed is a different product in Cassini’s eyes, even if the titles are identical.

We complete every available item specific field, including the ones that feel redundant. MPN — Manufacturer Part Number — is particularly important in electronics because it enables buyers searching for a specific product variant to find your listing through eBay’s catalogue matching rather than keyword search alone. A buyer who knows exactly what they want and types the MPN into the search bar will find a listing with the correct MPN filed. They won’t find one where it’s been left blank.

This step takes five minutes per listing. The number of sellers who skip it — leaving item specifics at default or partially filled — is the reason that a well-optimised new listing from a less-established seller can outrank a poorly-optimised listing from a seller with years of history. The algorithm rewards completeness regardless of account age.

White background. Clean shot. Product fills the frame. No excuses for anything less.
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maibo.uk

Step 4 — Photography: Why We Never Use Images From the Internet

This is the one that surprises people most when I explain it, because pulling manufacturer images from Google seems like the obvious, efficient solution. It is neither.

The first problem is legal: manufacturer product images are copyright protected. Using them without licence exposes you to VeRO — eBay’s Verified Rights Owner programme — where brand owners actively monitor and report unauthorised use of their imagery. A VeRO report can remove your listing and, if it happens repeatedly, create account-level flags. It’s an avoidable risk that costs you nothing to eliminate.

The second problem is commercial. When you use the same manufacturer image as twenty other sellers, your listing looks identical to theirs in the search results thumbnail. The buyer’s first point of differentiation — before they’ve read the title or the price — is the image. If yours looks the same as every other listing in the category, you’ve surrendered your first and most visible opportunity to stand out.

Our standard: white background, non-negotiable. The product photographed against white is eBay’s preferred format, performs better in search thumbnails, and communicates professionalism in a way that dark backgrounds or lifestyle shots don’t for marketplace electronics. The product fills as much of the frame as possible — buyers want to see what they’re buying, not a product floating in empty space. Multiple angles: front, back, packaging, any included accessories. Every image is our photograph of our actual stock — what the buyer receives is what they see.

The investment is a basic lightbox setup and a decent phone camera. The return is every listing looking consistently professional and the legal exposure of borrowed imagery eliminated permanently.

Step 5 — Description: The Part Nobody Reads and Everyone Gets Wrong

eBay listing descriptions are not read by most buyers. Research consistently shows that the majority of purchase decisions on eBay are made from the title, price, photos, and seller rating — before the buyer has scrolled to the description at all.

This leads most sellers to either write a perfunctory two-line description or paste the manufacturer spec sheet wholesale. Both are mistakes — for different reasons.

The buyers who do read the description are the buyers who are nearly convinced but not quite. They’ve seen the title, the price, the photos — and they have one remaining question. The description’s job is to answer that question before they have to ask it. For electronics, those questions are almost always the same: Is this genuine? What’s the condition exactly? What’s included? How does dispatch work? What if something goes wrong?

A description that answers those questions clearly and honestly converts that near-convinced buyer. A description that’s a manufacturer spec sheet leaves them with the same question they arrived with. A description that’s empty signals to them — correctly — that the seller hasn’t thought carefully about the product or the buyer.

The other function of the description that sellers consistently undervalue: dispute prevention. A clear, accurate description of condition, contents, and any product-specific limitations is your first line of defence in a “not as described” case. We have won disputes that less careful sellers would have lost because our description stated something precisely that the buyer later disputed. The description is a legal document as much as a marketing one.

Step 6 — Pricing: Against the Market, Not Against the Cost

Most sellers set prices by adding their desired margin to their cost. This produces a price that makes sense to the seller and is entirely disconnected from what the market will actually pay.

The process we use: the market research from Step 1 has already told us the price distribution of recent sold items. We price relative to that distribution — not relative to our cost. If our cost structure doesn’t allow us to price competitively within the range where sales are actually happening, we don’t list. We either negotiate the cost or we don’t enter the category. Listing at a price that the market has demonstrated it won’t pay is not a strategy — it’s inventory sitting.

The second pricing consideration is Cassini. The algorithm evaluates your price relative to comparable listings in the category. A listing priced significantly above the category average but converting at normal rates signals to Cassini that buyers find the total proposition compelling despite the premium — which reinforces the listing’s ranking. A listing priced at the category average with zero conversion signals the opposite. Cassini uses conversion data, not just price data. A strong seller reputation, complete item specifics, and professional photos justify a modest price premium. Listing at premium price with weak supporting signals does not.

Step 7 — The Content Nobody Thinks About Until It’s Too Late

Most sellers put all their energy into the listing and none into what happens around it. By “content” I don’t mean the description — I mean the broader signals that tell Cassini and the buyer whether you’re a credible seller in this category.

Your feedback profile is content. A seller with 200 feedbacks in audio electronics who lists a new audio product is immediately more credible to both the algorithm and the buyer than a seller with 200 feedbacks in phone cases doing the same. Category relevance in your transaction history matters. If you’re entering a new category, the early listings need to work harder on every other signal to compensate for the lack of category-specific history.

Your store policies are content. Returns policy, dispatch time, payment options — these are visible to buyers and factored into Cassini’s ranking. A 30-day free returns policy is not just customer-friendly; it’s a ranking signal. Sellers who treat policy settings as an afterthought are leaving ranking points on the table.

Your response rate to buyer questions is content. Listings that generate questions and receive fast, accurate answers convert at higher rates than listings where questions go unanswered for 48 hours. Cassini tracks buyer engagement patterns at the listing level. A listing that buyers interact with and then purchase is a better-performing listing than one that gets impressions and no engagement.

None of this is complicated. All of it requires treating each listing as a commercial investment rather than an item you’re trying to move as quickly as possible. The sellers who think about content — the full picture of signals that surround the listing — consistently outperform those who focus only on the listing itself.

18 years of eBay listings. Every single one went through the same process.
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maibo.uk