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VintedQuick answerPart of: The Complete Vinted Reseller Guide

Best Time to List on Vinted

Nobody outside Vinted has the data. Here is the test that gives you yours.

By reva editorial teamUpdated 4 min readCzytaj po polskuЧитать по-русски
A two-week Vinted timing test worksheet comparing a morning listing group and an evening listing group by favourites per view
Key takeaways
  • Vinted publishes no engagement-by-hour data, so any universal peak-hour chart is a guess; your own market is the only one you can measure.
  • The test needs 8–12 similar items, two time bands, a swap at day seven, and favourites per view as the score.
  • No price changes and no Bumps during the test — both would swamp the hour effect.
  • A no-difference result is still a result: it frees the schedule to fit your day.

The best time to list on Vinted has no published answer: Vinted does not release engagement-by-hour data, so every peak-hours chart in circulation is a guess. What a reseller can do is measure their own market. This page is the measurement kit — setup, schedule, worksheet, reading rules — and nothing else: no ranking theory, no borrowed percentages. What Vinted does document about ranking is covered in how the Vinted algorithm works; here we only test the hour.

What you need before you start

A clean test needs discipline more than gear:

  • 8–12 items from one category in one price band, all ready to photograph and list today, all in season — a winter jacket listed in April measures the season, not the clock.
  • Two time bands: mornings 8:00–10:00 and evenings 19:00–21:00, your local time. Two bands, not four: each extra band multiplies the rows faster than a fortnight can carry.
  • One row per item in a notebook or spreadsheet — the worksheet below.
  • Two locks: prices stay untouched for the whole fortnight, and no Bumps — paid promotion is a documented input on Vinted's platform page, and it would drown the hour effect in its own signal.

The two-week schedule

The two-week timing test protocol
  1. 1Pick 8–12 itemsSame category, similar price band, all ready to list now, all in season.
  2. 2Split into two groupsGroup A lists 8:00–10:00, group B 19:00–21:00, your local time. Alternate the groups across days of the week.
  3. 3Log the first 24 hoursFor each listing: upload time, then views and favourites 24 hours later. One row per item.
  4. 4Swap at day 7Group A moves to evening, group B to morning. This cancels day-of-week effects.
  5. 5Compare favourites per viewNot raw views: favourites per view measures what happens after the click.
Two weeks, your own market. No percentages invented anywhere.

List each item inside its band, not at a chased exact minute, and alternate which group takes the morning slot across weekdays so one busy Tuesday cannot tilt the set. The swap at day seven is the load-bearing wall: whatever Mondays do to your sales, they do it to both groups across the fortnight.

The worksheet

Item Band (week 1) Day listed Upload time Views at 24 h Favourites at 24 h Fav/view
A1 morning Mon 09:05 34 3 0.09
A2 morning Tue 08:40 28 2 0.07
B1 evening Mon 19:30 51 7 0.14
B2 evening Wed 20:15 44 4 0.09

The rows show the format, not results. Log every listing 24 hours after upload, then stop looking — re-checking the app adds nothing to a measurement. The last column is the score: views only say the listing was seen, favourites per view say what being seen was worth. A band that wins views but not favourites handed you a busier feed, not better buyers; a band that wins both is a real candidate.

Reading your results without fooling yourself

Small samples produce confident nonsense, so read with the brakes on:

  • A clear win is a big gap. If evening listings took roughly twice the favourites per view of morning listings across ten items, list in the evening. A 10% difference on eight items is a coin toss.
  • One star can skew it. A single branded item with ten favourites dwarfs nine unbranded ones. Check the result survives without your best item.
  • Week one versus week two. If group A wins week one and loses week two, the answer is no difference — write that down and stop optimising the clock.

No difference is a useful result: it means the hour is free to suit your routine, and listing when you actually have time beats keeping a superstition.

While the test runs

The test answers one narrow question while you keep selling. If listings stall across the board, the funnel diagnosis is in why Vinted items don't sell; checking resale demand tests the category before the next buy, and what Vinted shows about sold prices keeps the price side of the experiment honest. The framework around it all is the Vinted reseller guide.

Frequently asked questions

How many items does the timing test need?
Eight to twelve is the working minimum: enough items to survive one odd result, few enough to actually finish the fortnight. Keep them in one category and one price band, and stop adding items once the test starts — a mid-test addition measures the new item, not the hour.
Why favourites per view instead of raw views?
The hour can only change who sees a listing, and views already count that. Favourites per view asks what the visit was worth — whether the photos and price held the buyer who arrived. A time band that wins views but not favourites gave you a busier feed, not better buyers.
Can I cut the test short if one group pulls ahead in week one?
No. The swap at day seven exists because one week can be lifted by a payday, a weather change or a single lucky item. If the week-one winner loses week two, the honest result is no difference — which frees your schedule rather than wasting it.
Does the test work for any category?
It works for any in-season category; it measures nothing for a seasonal item listed out of season, because season swallows the hour. Run it on what you actually sell, and if you sell across categories, run one test per category rather than mixing winter jackets with phone cases.

Sources

  1. Vinted UK: Our platform (ranking factors, §8) checked 13 Sept 2026
  2. Vinted UK Help: Recommended content on Vinted checked 13 Sept 2026
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