---
title: "Trend — altar table - Flapen"
canonical_url: "https://flapen.com/research/us/home-kitchen/altar-table/trend"
last_updated: "2026-08-09T12:53:58.697Z"
locale: en
meta:
  description: "Niche score 55/100 · $241K/yr market · 740K searches/yr · $101.75 avg price. Weak search conversion (0.3%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 55/100 · $241K/yr market · 740K searches/yr · $101.75 avg price. Weak search conversion (0.3%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — altar table - Flapen"
---

# **altar table**

**Worth a look**

Shows no brand lock-in (top 5 brands take 28% of clicks), but weak search conversion (0.3%) keeps it on the watch list.

Market size 45Growth 23Conversion 4Competition 93Returns 74Price range 9Avg price 74Brand share 97Review moat 55Quality gap 65

**Brand share**

**Incredible****28%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****22%**

top-5 click share — an open shelf

**Returns**

**Good****2.1%**

return rate — above 5% kills the launch gate

**Avg price**

**Good****$101.75**

avg listing price — sweet spot $15–$100

**Quality gap**

**Good****4.4★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Good****1,310.06**

avg incumbent reviews — the moat a new listing must climb

**Market size**

**Okay****$241K**

$241K/yr · 740K searches

**Growth**

**Bad****-4.0%**

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

**Price range**

**Bad****$5.14–$953.25**

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

**Conversion**

**Bad****0.3%**

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