---
title: "Search terms — feigenbaum winterhart - Flapen"
canonical_url: "https://flapen.com/research/de/garten/feigenbaum-winterhart/search-terms"
last_updated: "2026-08-10T04:12:49.812Z"
locale: en
meta:
  description: "Niche score 59/100 · €91K/yr market · 77K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 59/100 · €91K/yr market · 77K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — feigenbaum winterhart - Flapen"
---

# **feigenbaum winterhart**

**Worth a look**

Shows low returns (0.0%), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 23Growth 79Conversion 27Competition 53Returns 100Price range 15Avg price 92Brand share 47Review moat 93Quality gap 80

**Returns**

**Incredible****0.0%**

return rate — above 5% kills the launch gate

**Review moat**

**Great****138.78**

avg incumbent reviews — the moat a new listing must climb

**Avg price**

**Great****€53.60**

avg listing price — sweet spot $15–$100

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Growth**

**Great****+70.0%**

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

**Competition**

**Good****53%**

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

**Brand share**

**Okay****77%**

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

**Conversion**

**Okay****2.2%**

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

**Market size**

**Bad****€91K**

€91K/yr · 77K searches

**Price range**

**Bad****€6.38–€559.94**

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

**Signals**[** 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