---
title: "Search terms — wohnwand - Flapen"
canonical_url: "https://flapen.com/research/de/kueche-haushalt-wohnen/wohnwand/search-terms"
last_updated: "2026-08-10T17:33:42.581Z"
locale: en
meta:
  description: "Niche score 56/100 · €343K/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 56/100 · €343K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — wohnwand - Flapen"
---

# **wohnwand**

**Worth a look**

Shows a fragmented shelf (top 5 take 20% of clicks), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 53Growth 9Conversion 1Competition 95Returns 93Price range 11Avg price 32Brand share 94Review moat 81Quality gap 80

**Competition**

**Great****20%**

top-5 click share — an open shelf

**Brand share**

**Great****41%**

top-5 brand share — no brand owns this niche

**Returns**

**Great****1.1%**

return rate — above 5% kills the launch gate

**Review moat**

**Great****376.06**

avg incumbent reviews — the moat a new listing must climb

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Market size**

**Good****€343K**

€343K/yr · 2.0M searches

**Avg price**

**Okay****€291.38**

avg listing price — sweet spot $15–$100

**Price range**

**Bad****€24.14–€740.56**

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

**Growth**

**Bad****-32.4%**

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

**Conversion**

**Bad****0.1%**

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

**Signals**[** 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") [** High Price**](https://flapen.com/research/niches?market=de&signal=high_price "Avg price > $50")

## Search terms