---
title: "Trend — hula hoop kids - Flapen"
canonical_url: "https://flapen.com/research/uk/sports-outdoors/hula-hoop-kids/trend"
last_updated: "2026-07-31T13:33:58.443Z"
locale: en
meta:
  description: "Niche score 67/100 · £54K/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 67/100 · £54K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — hula hoop kids - Flapen"
---

# **hula hoop kids**

**Worth a look**

Shows beatable incumbent ratings (3.8★), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 13Growth 72Conversion 58Competition 80Returns 95Price range 42Avg price 29Brand share 89Review moat 84Quality gap 97

**Quality gap**

**Incredible****3.8★**

avg incumbent rating — lower means beatable quality

**Returns**

**Incredible****1.0%**

return rate — above 5% kills the launch gate

**Brand share**

**Great****46%**

top-5 brand share — no brand owns this niche

**Review moat**

**Great****321.08**

avg incumbent reviews — the moat a new listing must climb

**Competition**

**Great****35%**

top-5 click share — an open shelf

**Growth**

**Good****+56.0%**

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

**Conversion**

**Good****5.0%**

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

**Price range**

**Okay****£3.51–£23.16**

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

**Avg price**

**Okay****£9.43**

avg listing price — sweet spot $15–$100

**Market size**

**Bad****£54K**

£54K/yr · 113K searches

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