---
title: "Trend — shed fan - Flapen"
canonical_url: "https://flapen.com/research/us/patio-lawn-garden/shed-fan/trend"
last_updated: "2026-08-10T08:05:54.911Z"
locale: en
meta:
  description: "Niche score 69/100 · $87K/yr market · 62K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 69/100 · $87K/yr market · 62K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — shed fan - Flapen"
---

# **shed fan**

**Worth a look**

Shows demand growing +146.0% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 22Growth 96Conversion 30Competition 90Returns 74Price range 37Avg price 90Brand share 95Review moat 41Quality gap 90

**Growth**

**Incredible****+146.0%**

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

**Brand share**

**Incredible****38%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****25%**

top-5 click share — an open shelf

**Quality gap**

**Great****4.1★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Great****$58.93**

avg listing price — sweet spot $15–$100

**Returns**

**Good****2.0%**

return rate — above 5% kills the launch gate

**Review moat**

**Okay****2,417.98**

avg incumbent reviews — the moat a new listing must climb

**Price range**

**Okay****$15.11–$241.58**

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

**Conversion**

**Okay****2.4%**

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

**Market size**

**Bad****$87K**

$87K/yr · 62K searches

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** No Dominant Brand**](https://flapen.com/research/niches?market=us&signal=no_dominant_brand "Top brand's click share < 20%") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Trend