---
title: "Trend — black pillar candles - Flapen"
canonical_url: "https://flapen.com/research/us/home-kitchen/black-pillar-candles/trend"
last_updated: "2026-08-09T21:04:39.415Z"
locale: en
meta:
  description: "Niche score 53/100 · $74K/yr market · 61K searches/yr · $23.03 avg price. A small market ($74K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 53/100 · $74K/yr market · 61K searches/yr · $23.03 avg price. A small market ($74K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — black pillar candles - Flapen"
---

# **black pillar candles**

**Worth a look**

Shows a sweet-spot price point ($23.03 avg), but a small market ($74K/yr) keeps it on the watch list.

Market size 18Growth 23Conversion 61Competition 84Returns 24Price range 79Avg price 95Brand share 92Review moat 66Quality gap 50

**Avg price**

**Incredible****$23.03**

avg listing price — sweet spot $15–$100

**Brand share**

**Great****43%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****31%**

top-5 click share — an open shelf

**Price range**

**Great****$5.98–$50.94**

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

**Review moat**

**Good****865.91**

avg incumbent reviews — the moat a new listing must climb

**Conversion**

**Good****5.3%**

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

**Quality gap**

**Good****4.5★**

avg incumbent rating — lower means beatable quality

**Returns**

**Bad****5.4%**

return rate — above 5% kills the launch gate

**Growth**

**Bad****-4.2%**

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

**Market size**

**Bad****$74K**

$74K/yr · 61K searches

**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 Returns**](https://flapen.com/research/niches?market=us&signal=high_returns "Return rate > 5%")

## Trend