---
title: "Reviews — umstandshose kurz - Flapen"
canonical_url: "https://flapen.com/research/de/fashion/umstandshose-kurz/reviews"
last_updated: "2026-08-10T09:16:57.036Z"
locale: en
meta:
  description: "Niche score 60/100 · €22K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 60/100 · €22K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — umstandshose kurz - Flapen"
---

# **umstandshose kurz**

**Worth a look**

Shows demand growing +710.0% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 6Growth 100Conversion 14Competition 90Returns 29Price range 62Avg price 82Brand share 73Review moat 90Quality gap 72

**Growth**

**Incredible****+710.0%**

90-day search growth — must beat 0% to launch

**Competition**

**Great****25%**

top-5 click share — an open shelf

**Review moat**

**Great****209.79**

avg incumbent reviews — the moat a new listing must climb

**Avg price**

**Great****€17.80**

avg listing price — sweet spot $15–$100

**Brand share**

**Good****61%**

top-5 brand share — brands hold most of the demand

**Quality gap**

**Good****4.3★**

avg incumbent rating — lower means beatable quality

**Price range**

**Good****€7.23–€27.94**

cheapest to priciest tracked listing — scored on the share inside $15–$100

**Returns**

**Okay****4.7%**

return rate — above 5% kills the launch gate

**Conversion**

**Bad****1.1%**

search→purchase rate — share of searches ending in a sale

**Market size**

**Bad****€22K**

€22K/yr · 115K searches

**Signals**[** Trending**](https://flapen.com/research/niches?market=de&signal=trending "Search growth > 100% (90d)") [** No Dominant Brand**](https://flapen.com/research/niches?market=de&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=de&signal=low_review_barrier "Top brand's reviews < 500")

## Reviews