---
title: "Reviews — arrow saw - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/arrow-saw/reviews"
last_updated: "2026-08-06T16:37:33.098Z"
locale: en
meta:
  description: "Niche score 56/100 · $337K/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 56/100 · $337K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — arrow saw - Flapen"
---

# **arrow saw**

**Worth a look**

Shows a thin review moat (54 avg reviews), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 53Growth 23Conversion 31Competition 60Returns 63Price range 41Avg price 82Brand share 81Review moat 97Quality gap 72

**Review moat**

**Incredible****53.85**

avg incumbent reviews — the moat a new listing must climb

**Avg price**

**Great****$79.91**

avg listing price — sweet spot $15–$100

**Brand share**

**Great****54%**

top-5 brand share — no brand owns this niche

**Quality gap**

**Good****4.3★**

avg incumbent rating — lower means beatable quality

**Returns**

**Good****2.5%**

return rate — above 5% kills the launch gate

**Competition**

**Good****49%**

top-5 click share — leaders hold, buyers still browse

**Market size**

**Good****$337K**

$337K/yr · 170K searches

**Price range**

**Okay****$8.93–$217.23**

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

**Conversion**

**Okay****2.5%**

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

**Growth**

**Bad****-4.2%**

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

**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