At a glance
Listings with <2 Photos is a listing-health metric tracked from Vinted data. It is the share of your active listings carrying fewer than two photos. On a visual resale marketplace, buyers judge condition and authenticity almost entirely from images, so single-photo listings convert poorly and attract more buyer-protection complaints when the item arrives differently than expected. This card flags the catalogue slice most in need of a quick reshoot.
| What it counts | The percentage of active listings with fewer than two photos over the selected period. |
| Sample type | Backend API data from Vinted, refreshed on the standard data refresh. |
| Why it matters | Photos carry the buying decision on Vinted. Listings with too few images get fewer favourites and sales, and raise the risk of “not as described” complaints because buyers cannot judge condition properly. |
| Reading the value | Lower is better. A share above the safe band means a meaningful slice of the catalogue is under-photographed and is likely converting below its potential. |
| Currency | percent |
| Time window | Real time |
| Alert trigger | Fires when the share of under-photographed listings rises above the configured ceiling. |
| Sentiment key | vin_photo_count_health |
| Roles | owner, marketing |
Calculation
Calculated automatically from your Vinted data. Vortex IQ counts active listings with fewer than two photos and divides by total active listings. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A representative reading of Listings with <2 Photos for a typical Pro seller on Vinted. A shop with 480 active listings reads 18% under-photographed, past the safe band, meaning around 86 items show a single photo. Most are accessories uploaded quickly with just a front shot. Buyers cannot see the back, the label, or any wear, so these listings under-perform. The action is to batch-reshoot the worst offenders with at least front, back, label, and any flaw, prioritising the higher-value items first. Better photo coverage typically lifts favourites and lowers complaints over the following weeks. For deeper investigation, use Vortex Mind to see which categories are thinnest on photos; for natural-language exploration, ask Ask Viq.Sibling cards merchants should reference together
| Card | Why merchants reach for it |
|---|---|
vin_attribute_completeness | Listing-health sibling: attribute coverage, the other discovery driver. |
vin_favourites_to_views_rate | Listing-health sibling: engagement that photos directly lift. |
vin_listing_quality_score | Listing-health sibling: composite quality that includes photos. |
vin_buyer_protection_complaint_rate | Fulfilment sibling: complaints that rise with poor photos. |
vin_active_listings | Listing-health sibling: the active base this share is measured against. |
Reconciling against Vinted
Where to look in Vinted’s own dashboard: Vinted shows the photo count on each listing’s edit screen. There is no native under-photographed report, so reconcile by sampling listings flagged here and confirming the photo count on the listing. Why the Vortex IQ value may legitimately differ:| Reason | Direction | What to do |
|---|---|---|
| Active scope. The share is measured against active listings only; drafts and sold items are excluded. | Lower | Compare on the active set. |
| Threshold definition. Vortex IQ uses a fewer-than-two threshold; you may judge “enough photos” differently. | Variable | Align on the photo-count threshold. |
| Refresh timing. A just-edited listing may not reflect until the next refresh. | Marginal | Allow for short refresh lag after edits. |