---
title: "Trend — skylight shades - Flapen"
canonical_url: "https://flapen.com/research/us/home-kitchen/skylight-shades/trend"
last_updated: "2026-08-07T06:20:13.289Z"
locale: en
meta:
  description: "Niche score 57/100 · $237K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Aug 2026."
  "og:description": "Niche score 57/100 · $237K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Aug 2026."
  "og:title": "Trend — skylight shades - Flapen"
---

# **skylight shades**

**Worth a look**

Shows demand growing +197.0% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 45Growth 97Conversion 7Competition 64Returns 33Price range 31Avg price 72Brand share 78Review moat 41Quality gap 68

**Growth**

**Incredible****+197.0%**

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

**Brand share**

**Great****57%**

top-5 brand share — no brand owns this niche

**Avg price**

**Good****$108.54**

avg listing price — sweet spot $15–$100

**Quality gap**

**Good****4.3★**

avg incumbent rating — lower means beatable quality

**Competition**

**Good****47%**

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

**Market size**

**Okay****$237K**

$237K/yr · 370K searches

**Review moat**

**Okay****2,351.23**

avg incumbent reviews — the moat a new listing must climb

**Returns**

**Okay****4.3%**

return rate — above 5% kills the launch gate

**Price range**

**Okay****$6.91–$278.28**

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

**Conversion**

**Bad****0.6%**

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

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** 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