---
title: "Trend — loveseat cushion - Flapen"
canonical_url: "https://flapen.com/research/us/patio-lawn-garden/loveseat-cushion/trend"
last_updated: "2026-08-10T04:42:07.370Z"
locale: en
meta:
  description: "Niche score 58/100 · $48K/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 58/100 · $48K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — loveseat cushion - Flapen"
---

# **loveseat cushion**

**Worth a look**

Shows a sweet-spot price point ($55.31 avg), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 12Growth 70Conversion 10Competition 84Returns 47Price range 84Avg price 91Brand share 84Review moat 80Quality gap 67

**Avg price**

**Great****$55.31**

avg listing price — sweet spot $15–$100

**Competition**

**Great****31%**

top-5 click share — an open shelf

**Brand share**

**Great****51%**

top-5 brand share — no brand owns this niche

**Price range**

**Great****$9.49–$108.33**

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

**Review moat**

**Great****403.51**

avg incumbent reviews — the moat a new listing must climb

**Growth**

**Good****+51.6%**

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

**Quality gap**

**Good****4.3★**

avg incumbent rating — lower means beatable quality

**Returns**

**Okay****3.2%**

return rate — above 5% kills the launch gate

**Market size**

**Bad****$48K**

$48K/yr · 107K searches

**Conversion**

**Bad****0.8%**

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

**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