---
title: "Reviews — climbing frame - Flapen"
canonical_url: "https://flapen.com/research/uk/toys-games/climbing-frame/reviews"
last_updated: "2026-07-31T09:44:45.506Z"
locale: en
meta:
  description: "Niche score 58/100 · £371K/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 58/100 · £371K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — climbing frame - Flapen"
---

# **climbing frame**

**Worth a look**

Shows low returns (1.0%), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 54Growth 39Conversion 4Competition 83Returns 94Price range 4Avg price 47Brand share 75Review moat 76Quality gap 78

**Returns**

**Great****1.0%**

return rate — above 5% kills the launch gate

**Competition**

**Great****32%**

top-5 click share — an open shelf

**Quality gap**

**Great****4.3★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Great****476.45**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Good****60%**

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

**Market size**

**Good****£371K**

£371K/yr · 587K searches

**Avg price**

**Okay****£197.48**

avg listing price — sweet spot $15–$100

**Growth**

**Okay****+11.6%**

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

**Conversion**

**Bad****0.3%**

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

**Price range**

**Bad****£33.44–£1641.40**

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

**Signals**[** No Dominant Brand**](https://flapen.com/research/niches?market=uk&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=uk&signal=low_review_barrier "Top brand's reviews < 500") [** High Price**](https://flapen.com/research/niches?market=uk&signal=high_price "Avg price > $50")