---
title: "Trend — wood stove - Flapen"
canonical_url: "https://flapen.com/research/uk/diy-tools/wood-stove/trend"
last_updated: "2026-07-31T14:35:05.075Z"
locale: en
meta:
  description: "Niche score 50/100 · £54K/yr market · 214K searches/yr · £99.97 avg price. Weak search conversion (0.3%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 50/100 · £54K/yr market · 214K searches/yr · £99.97 avg price. Weak search conversion (0.3%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — wood stove - Flapen"
---

# **wood stove**

**Worth a look**

Shows no brand lock-in (top 5 brands take 35% of clicks), but weak search conversion (0.3%) keeps it on the watch list.

Market size 13Growth 7Conversion 3Competition 91Returns 93Price range 18Avg price 75Brand share 96Review moat 88Quality gap 55

**Brand share**

**Incredible****35%**

top-5 brand share — no brand owns this niche

**Returns**

**Great****1.1%**

return rate — above 5% kills the launch gate

**Competition**

**Great****24%**

top-5 click share — an open shelf

**Review moat**

**Great****234.93**

avg incumbent reviews — the moat a new listing must climb

**Avg price**

**Great****£99.97**

avg listing price — sweet spot $15–$100

**Quality gap**

**Good****4.4★**

avg incumbent rating — lower means beatable quality

**Price range**

**Bad****£10.70–£486.76**

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

**Market size**

**Bad****£54K**

£54K/yr · 214K searches

**Growth**

**Bad****-35.0%**

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

**Conversion**

**Bad****0.3%**

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

**Signals**[** No Dominant Brand**](https://flapen.com/research/niches?market=uk&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=uk&signal=low_review_barrier "Top brand's reviews < 500") [** High Price**](https://flapen.com/research/niches?market=uk&signal=high_price "Avg price > $50")