---
title: "Trend — panama hat for men - Flapen"
canonical_url: "https://flapen.com/research/uk/fashion/panama-hat-for-men/trend"
last_updated: "2026-07-31T22:29:19.896Z"
locale: en
meta:
  description: "Niche score 64/100 · £127K/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 64/100 · £127K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — panama hat for men - Flapen"
---

# **panama hat for men**

**Worth a look**

Shows demand growing +135.1% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 29Growth 96Conversion 17Competition 93Returns 24Price range 81Avg price 95Brand share 86Review moat 51Quality gap 76

**Growth**

**Incredible****+135.1%**

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

**Avg price**

**Incredible****£23.53**

avg listing price — sweet spot $15–$100

**Competition**

**Great****22%**

top-5 click share — an open shelf

**Brand share**

**Great****49%**

top-5 brand share — no brand owns this niche

**Price range**

**Great****£5.59–£61.23**

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

**Quality gap**

**Great****4.3★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Good****1,455.52**

avg incumbent reviews — the moat a new listing must climb

**Market size**

**Okay****£127K**

£127K/yr · 407K searches

**Returns**

**Bad****5.1%**

return rate — above 5% kills the launch gate

**Conversion**

**Bad****1.3%**

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

**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%") [** High Returns**](https://flapen.com/research/niches?market=uk&signal=high_returns "Return rate > 5%")