---
title: "Search terms — coffee pot - Flapen"
canonical_url: "https://flapen.com/research/ae/kitchen/coffee-pot/search-terms"
last_updated: "2026-08-02T07:02:46.131Z"
locale: en
meta:
  description: "Niche score 51/100 · $60K/yr market · 68K searches/yr · $53.95 avg price. Soft demand (-29.3% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 51/100 · $60K/yr market · 68K searches/yr · $53.95 avg price. Soft demand (-29.3% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — coffee pot - Flapen"
---

# **coffee pot**

**Worth a look**

Shows a sweet-spot price point ($53.95 avg), but soft demand (-29.3% this quarter) keeps it on the watch list.

Market size 15Growth 10Conversion 21Competition 83Returns 42Price range 63Avg price 92Brand share 91Review moat 68Quality gap 88

**Avg price**

**Great****$53.95**

avg listing price — sweet spot $15–$100

**Brand share**

**Great****44%**

top-5 brand share — no brand owns this niche

**Quality gap**

**Great****4.1★**

avg incumbent rating — lower means beatable quality

**Competition**

**Great****32%**

top-5 click share — an open shelf

**Review moat**

**Good****797.05**

avg incumbent reviews — the moat a new listing must climb

**Price range**

**Good****$12.80–$147.49**

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

**Returns**

**Okay****3.7%**

return rate — above 5% kills the launch gate

**Conversion**

**Bad****1.7%**

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

**Market size**

**Bad****$60K**

$60K/yr · 68K searches

**Growth**

**Bad****-29.3%**

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

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