Vinted algorithm: what really pushes a listing up the search

The Vinted algorithm ranks listings using criteria Vinted publishes itself: time since the item was uploaded, engagement (impressions, clicks, favourites), price, condition, the item's attributes, description, location, how often you list, and the buyer's history. Freshness and complete fields are the two levers you control most.

Below you will see what is official, what is only observed, what is a myth, and what to do for each signal.

What does Vinted officially say about its algorithm?

Vinted has a help page dedicated to its content recommendations, published to meet European transparency rules. It is the only reliable source on the subject. Everything else, including what you read on forums, is interpretation.

The page lists the parameters used by the recommendation and ranking systems:

• time elapsed since the item was added;
• engagement: impressions, favourites, clicks;
• the seller's and buyer's location, and language;
• price;
• attributes: category, brand, size, colour, photos;
• the item's condition;
• how often listings are posted;
• seller type (private or Pro);
• filters and the search query;
• the description;
• the member's history and the members they follow.

Vinted doesn't give the weight of each criterion. Nobody outside knows it. Be wary of anyone claiming "the number one factor counts for 40%": it can't be verified.

Search and feed: is it the same ranking?

No. There are two logics. When a buyer types a search, Vinted sorts the listings that match their query and filters. When they scroll their feed, Vinted suggests items based on their assumed taste: history, favourites, members they follow.

That changes your strategy. For search, you need to be findable: the right words, the right fields. For the feed, you need to appeal to the right profile: first photo, sensible price, exact category.

Which signals push a Vinted listing up, and what should you do about each?

Here is each signal, what we actually know about it, and the concrete action that follows.

Freshness: why does a recent listing come first?

It is the first parameter Vinted mentions: "time elapsed since the item was added". At equal relevance, a recent listing is more likely to be shown than one posted three weeks ago. Hence reposting: deleting the listing and recreating it identically so it becomes "new" again.

Reposting has a cost: the recreated listing starts again without its favourites and views. On a listing that already has 15 favourites, think first. A price drop, which notifies members who favourited the item, is often a better first move.

Engagement: how do you actually improve it?

Impressions, clicks and favourites act as a signal. You don't act on them directly, but you act on what triggers them: the first photo (sharp, whole item, clean background) and the price shown under the thumbnail. If a listing has lots of views and no favourites, the problem is often the price. If it has few views, it is the photo, the title or the fields.

Attributes and filters: the most underrated signal

A buyer who filters "size M, colour green" will never see your jumper if the colour isn't filled in. It isn't even a ranking question: you are excluded from the results. Filling in material, colour and brand is the least glamorous and most profitable job.

Price: does Vinted favour cheaper listings?

Price is one of the parameters, but Vinted doesn't say which way it works. What we observe: a price well above comparable items gets few clicks, so little engagement. Price therefore acts at least indirectly. Sit within the market range, not necessarily at the bottom.

Listing frequency: is posting everything at once bad?

Vinted mentions "how often listings are posted" without saying what effect to expect. In practice, posting 5 listings a day for a week gives you seven waves of freshness. Posting 35 listings on Sunday evening gives you a single wave, and your listings all age together.

What are the myths about the Vinted algorithm?

Three ideas get shared a lot without any public proof.

The magic posting time. You read everywhere "post at 6pm" or "on Sunday evening". It is plausible (there are more buyers at certain times), but Vinted has never confirmed it and no public data shows it. If you want to test, post comparable items at different times for three weeks and compare views after 24 hours.

Hashtags by the dozen. A list of 30 keywords at the bottom of the description doesn't work miracles, and some sellers report that it hurts readability. We looked at it in our article on Vinted tags and hashtags.

The "shadowban" as soon as you repost. No public rule penalises reposting as such. However, repetitive, large-scale behaviour can draw the attention of anti-abuse systems. Keep a human pace. If your account is limited, our guide on blocked or restricted accounts goes through the known causes.

How much visibility do you lose by doing nothing?

A listing that doesn't move sinks, and you can measure it on your own account. Look at a listing's views on day one, then after a week, then after three weeks. On most accounts, the curve flattens quickly.

Example: you have 80 listings at €12 on average, so €960 of stock. If three quarters are more than 15 days old and get almost no views, that is €720 of clothes that exist on Vinted without really being seen. The problem isn't the listing, it is its age.

The answer is a routine: spot listings that are stalling, repost them in batches, adjust prices. Here is a version that fits into a week.

Doing that by hand for 80 listings is an hour a week of deleting, recreating and re-uploading photos. That is exactly the task Revendor runs in the background, at a pace you set.

Does a paid Bump get around the algorithm?

Partly. A Vinted Bump puts an item higher in the feed and search results for 3 or 7 days, or until it sells. The price depends on the item's price, the duration and the reach, and is shown at checkout.

It is advertising. It buys visibility, it doesn't make the listing better. A listing with a poor photo and a price that is too high is still a listing nobody clicks, even at the top. Keep it for items where the margin comfortably covers the cost.

What should you remember to work with the algorithm?

Three things are enough: complete fields to be findable, a first photo and a price that trigger the click, and listings that stay fresh. The rest is fine-tuning. If a listing still won't sell despite all that, the problem is often elsewhere: our 10-point checklist helps you find it.