---
title: "Reviews — 1911 magazine - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/1911-magazine/reviews"
last_updated: "2026-08-09T23:26:38.216Z"
locale: en
meta:
  description: "Niche score 51/100 · $98K/yr market · 399K searches/yr · $61.10 avg price. Weak search conversion (0.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 51/100 · $98K/yr market · 399K searches/yr · $61.10 avg price. Weak search conversion (0.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — 1911 magazine - Flapen"
---

# **1911 magazine**

**Worth a look**

Shows no brand lock-in (top 5 brands take 46% of clicks), but weak search conversion (0.4%) keeps it on the watch list.

Market size 24Growth 20Conversion 5Competition 79Returns 72Price range 65Avg price 89Brand share 89Review moat 30Quality gap 62

**Brand share**

**Great****46%**

top-5 brand share — no brand owns this niche

**Avg price**

**Great****$61.10**

avg listing price — sweet spot $15–$100

**Competition**

**Great****36%**

top-5 click share — an open shelf

**Returns**

**Good****2.1%**

return rate — above 5% kills the launch gate

**Price range**

**Good****$10.02–$140.23**

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

**Quality gap**

**Good****4.4★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Okay****3,456.58**

avg incumbent reviews — the moat a new listing must climb

**Market size**

**Bad****$98K**

$98K/yr · 399K searches

**Growth**

**Bad****-10.0%**

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

**Conversion**

**Bad****0.4%**

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

**Signals**[** No Dominant Brand**](https://flapen.com/research/niches?market=us&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=us&signal=low_review_barrier "Top brand's reviews < 500") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Reviews