---
title: "Reviews — body mounts - Flapen"
canonical_url: "https://flapen.com/research/us/automotive/body-mounts/reviews"
last_updated: "2026-08-09T23:05:43.014Z"
locale: en
meta:
  description: "Niche score 58/100 · $152K/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 58/100 · $152K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — body mounts - Flapen"
---

# **body mounts**

**Worth a look**

Shows no brand lock-in (top 5 brands take 40% of clicks), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 32Growth 20Conversion 17Competition 92Returns 59Price range 44Avg price 82Brand share 95Review moat 95Quality gap 80

**Brand share**

**Great****40%**

top-5 brand share — no brand owns this niche

**Review moat**

**Great****109.29**

avg incumbent reviews — the moat a new listing must climb

**Competition**

**Great****23%**

top-5 click share — an open shelf

**Avg price**

**Great****$81.42**

avg listing price — sweet spot $15–$100

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Returns**

**Good****2.6%**

return rate — above 5% kills the launch gate

**Price range**

**Okay****$7.88–$200.60**

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

**Market size**

**Okay****$152K**

$152K/yr · 141K searches

**Growth**

**Bad****-10.8%**

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

**Conversion**

**Bad****1.3%**

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