---
title: "Reviews — screened bottom board 10 frame - Flapen"
canonical_url: "https://flapen.com/research/us/patio-lawn-garden/screened-bottom-board-10-frame/reviews"
last_updated: "2026-08-10T08:10:18.278Z"
locale: en
meta:
  description: "Niche score 66/100 · $73K/yr market · 16K 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 · $73K/yr market · 16K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Reviews — screened bottom board 10 frame - Flapen"
---

# **screened bottom board 10 frame**

**Worth a look**

Shows a thin review moat (38 avg reviews), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 18Growth 90Conversion 77Competition 71Returns 96Price range 46Avg price 90Brand share 66Review moat 98Quality gap 40

**Review moat**

**Incredible****37.63**

avg incumbent reviews — the moat a new listing must climb

**Returns**

**Incredible****0.9%**

return rate — above 5% kills the launch gate

**Growth**

**Great****+98.0%**

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

**Avg price**

**Great****$59.78**

avg listing price — sweet spot $15–$100

**Conversion**

**Great****7.5%**

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

**Competition**

**Good****43%**

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

**Brand share**

**Good****66%**

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

**Price range**

**Okay****$25.13–$189.58**

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

**Quality gap**

**Okay****4.5★**

avg incumbent rating — lower means beatable quality

**Market size**

**Bad****$73K**

$73K/yr · 16K searches

**Signals**[** 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