---
title: "Trend — bench table - Flapen"
canonical_url: "https://flapen.com/research/us/home-kitchen/bench-table/trend"
last_updated: "2026-08-09T20:39:15.998Z"
locale: en
meta:
  description: "Niche score 54/100 · $129K/yr market · 241K searches/yr · $358.06 avg price. Weak search conversion (0.1%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 54/100 · $129K/yr market · 241K searches/yr · $358.06 avg price. Weak search conversion (0.1%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — bench table - Flapen"
---

# **bench table**

**Worth a look**

Shows no brand lock-in (top 5 brands take 31% of clicks), but weak search conversion (0.1%) keeps it on the watch list.

Market size 29Growth 19Conversion 2Competition 95Returns 93Price range 4Avg price 22Brand share 96Review moat 84Quality gap 77

**Brand share**

**Incredible****31%**

top-5 brand share — no brand owns this niche

**Competition**

**Incredible****19%**

top-5 click share — an open shelf

**Returns**

**Great****1.1%**

return rate — above 5% kills the launch gate

**Review moat**

**Great****313.24**

avg incumbent reviews — the moat a new listing must climb

**Quality gap**

**Great****4.3★**

avg incumbent rating — lower means beatable quality

**Market size**

**Okay****$129K**

$129K/yr · 241K searches

**Avg price**

**Bad****$358.06**

avg listing price — sweet spot $15–$100

**Growth**

**Bad****-12.4%**

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

**Price range**

**Bad****$35.97–$1589.33**

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

**Conversion**

**Bad****0.1%**

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