---
title: "Reviews — union jack t shirt - Flapen"
canonical_url: "https://flapen.com/research/uk/fashion/union-jack-t-shirt/reviews"
last_updated: "2026-07-31T16:01:22.961Z"
locale: en
meta:
  description: "Niche score 62/100 · £33K/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 62/100 · £33K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — union jack t shirt - Flapen"
---

# **union jack t shirt**

**Worth a look**

Shows demand growing +162.9% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 8Growth 96Conversion 24Competition 87Returns 58Price range 59Avg price 41Brand share 75Review moat 90Quality gap 83

**Growth**

**Incredible****+162.9%**

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

**Review moat**

**Great****190.84**

avg incumbent reviews — the moat a new listing must climb

**Competition**

**Great****28%**

top-5 click share — an open shelf

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Brand share**

**Great****60%**

top-5 brand share — no brand owns this niche

**Price range**

**Good****£4.72–£29.97**

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

**Returns**

**Good****2.7%**

return rate — above 5% kills the launch gate

**Avg price**

**Okay****£10.90**

avg listing price — sweet spot $15–$100

**Conversion**

**Bad****1.9%**

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

**Market size**

**Bad****£33K**

£33K/yr · 155K searches

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