---
title: "Trend — rectangle trampoline - Flapen"
canonical_url: "https://flapen.com/research/uk/sports-outdoors/rectangle-trampoline/trend"
last_updated: "2026-07-31T22:48:17.220Z"
locale: en
meta:
  description: "Niche score 52/100 · £40K/yr market · 160K searches/yr · £180.36 avg price. Weak search conversion (0.1%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 52/100 · £40K/yr market · 160K searches/yr · £180.36 avg price. Weak search conversion (0.1%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — rectangle trampoline - Flapen"
---

# **rectangle trampoline**

**Worth a look**

Shows low returns (0.1%), but weak search conversion (0.1%) keeps it on the watch list.

Market size 10Growth 63Conversion 2Competition 77Returns 100Price range 7Avg price 49Brand share 71Review moat 72Quality gap 58

**Returns**

**Incredible****0.1%**

return rate — above 5% kills the launch gate

**Competition**

**Great****38%**

top-5 click share — an open shelf

**Review moat**

**Good****623.31**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Good****63%**

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

**Growth**

**Good****+40.4%**

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

**Quality gap**

**Good****4.4★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Okay****£180.36**

avg listing price — sweet spot $15–$100

**Market size**

**Bad****£40K**

£40K/yr · 160K searches

**Price range**

**Bad****£64.80–£540.44**

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

**Conversion**

**Bad****0.1%**

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

**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")