---
title: "Trend — pool umbrella for above ground pool - Flapen"
canonical_url: "https://flapen.com/research/us/patio-lawn-garden/pool-umbrella-for-above-ground-pool/trend"
last_updated: "2026-08-10T21:06:07.326Z"
locale: en
meta:
  description: "Niche score 66/100 · $64K/yr market · 19K 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 66/100 · $64K/yr market · 19K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — pool umbrella for above ground pool - Flapen"
---

# **pool umbrella for above ground pool**

**Worth a look**

Shows demand growing +249.2% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 16Growth 99Conversion 62Competition 65Returns 80Price range 71Avg price 89Brand share 59Review moat 25Quality gap 94

**Growth**

**Incredible****+249.2%**

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

**Quality gap**

**Great****4.0★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Great****$62.33**

avg listing price — sweet spot $15–$100

**Returns**

**Great****1.8%**

return rate — above 5% kills the launch gate

**Price range**

**Good****$23.33–$131.30**

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

**Competition**

**Good****46%**

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

**Conversion**

**Good****5.4%**

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

**Brand share**

**Good****69%**

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

**Review moat**

**Bad****4,222.1**

avg incumbent reviews — the moat a new listing must climb

**Market size**

**Bad****$64K**

$64K/yr · 19K searches

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Trend