---
title: "Trend — dock wheels - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/dock-wheels/trend"
last_updated: "2026-08-06T00:05:59.159Z"
locale: en
meta:
  description: "Niche score 64/100 · $118K/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 · $118K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — dock wheels - Flapen"
---

# **dock wheels**

**Worth a look**

Shows a thin review moat (45 avg reviews), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 28Growth 89Conversion 41Competition 75Returns 84Price range 21Avg price 65Brand share 73Review moat 98Quality gap 63

**Review moat**

**Incredible****44.71**

avg incumbent reviews — the moat a new listing must climb

**Growth**

**Great****+94.0%**

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

**Returns**

**Great****1.5%**

return rate — above 5% kills the launch gate

**Competition**

**Great****40%**

top-5 click share — an open shelf

**Brand share**

**Good****61%**

top-5 brand share — brands hold most of the demand

**Avg price**

**Good****$131.40**

avg listing price — sweet spot $15–$100

**Quality gap**

**Good****4.4★**

avg incumbent rating — lower means beatable quality

**Conversion**

**Okay****3.3%**

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

**Market size**

**Okay****$118K**

$118K/yr · 27K searches

**Price range**

**Bad****$35.55–$336.87**

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

**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")

## Trend