---
title: "Trend — wespenfalle - Flapen"
canonical_url: "https://flapen.com/research/de/garten/wespenfalle/trend"
last_updated: "2026-08-10T14:01:39.719Z"
locale: en
meta:
  description: "Niche score 71/100 · €241K/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 71/100 · €241K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — wespenfalle - Flapen"
---

# **wespenfalle**

**Worth a look**

Shows demand growing >1,000% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 45Growth 100Conversion 76Competition 43Returns 97Price range 40Avg price 53Brand share 71Review moat 74Quality gap 96

**Growth**

**Incredible****>1,000%**

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

**Returns**

**Incredible****0.6%**

return rate — above 5% kills the launch gate

**Quality gap**

**Incredible****3.9★**

avg incumbent rating — lower means beatable quality

**Conversion**

**Great****7.2%**

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

**Review moat**

**Good****549.92**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Good****62%**

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

**Avg price**

**Good****€12.38**

avg listing price — sweet spot $15–$100

**Market size**

**Okay****€241K**

€241K/yr · 269K searches

**Competition**

**Okay****59%**

top-5 click share — leaders hold, buyers still browse

**Price range**

**Okay****€4.96–€21.70**

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

**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%") [** Quality Gap**](https://flapen.com/research/niches?market=de&signal=quality_gap "Avg rating < 4.0")

## Trend