---
title: "Reviews — inflatable football - Flapen"
canonical_url: "https://flapen.com/research/uk/toys-games/inflatable-football/reviews"
last_updated: "2026-07-31T14:28:20.607Z"
locale: en
meta:
  description: "Niche score 53/100 · £17K/yr market · 42K searches/yr · £8.94 avg price. A small market ($17K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 53/100 · £17K/yr market · 42K searches/yr · £8.94 avg price. A small market ($17K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — inflatable football - Flapen"
---

# **inflatable football**

**Worth a look**

Shows demand growing +307.3% this quarter, but a small market ($17K/yr) keeps it on the watch list.

Market size 4Growth 100Conversion 55Competition 17Returns 98Price range 24Avg price 25Brand share 26Review moat 95Quality gap 97

**Growth**

**Incredible****+307.3%**

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

**Returns**

**Incredible****0.4%**

return rate — above 5% kills the launch gate

**Quality gap**

**Incredible****3.8★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Incredible****91.09**

avg incumbent reviews — the moat a new listing must climb

**Conversion**

**Good****4.6%**

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

**Brand share**

**Okay****89%**

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

**Avg price**

**Okay****£8.94**

avg listing price — sweet spot $15–$100

**Price range**

**Bad****£2.87–£18.81**

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

**Competition**

**Bad****79%**

top-5 click share — a locked-up shelf

**Market size**

**Bad****£17K**

£17K/yr · 42K searches

**Signals**[** Trending**](https://flapen.com/research/niches?market=uk&signal=trending "Search growth > 100% (90d)") [** 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")