---
title: "Search terms — mop sink - Flapen"
canonical_url: "https://flapen.com/research/us/tools-home-improvement/mop-sink/search-terms"
last_updated: "2026-08-08T23:54:41.217Z"
locale: en
meta:
  description: "Niche score 52/100 · $285K/yr market · 101K searches/yr. Soft demand (-21.7% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 52/100 · $285K/yr market · 101K searches/yr. Soft demand (-21.7% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — mop sink - Flapen"
---

# **mop sink**

**Worth a look**

Shows a thin review moat (124 avg reviews), but soft demand (-21.7% this quarter) keeps it on the watch list.

Market size 50Growth 14Conversion 23Competition 64Returns 57Price range 14Avg price 58Brand share 78Review moat 94Quality gap 88

**Review moat**

**Great****123.97**

avg incumbent reviews — the moat a new listing must climb

**Quality gap**

**Great****4.1★**

avg incumbent rating — lower means beatable quality

**Brand share**

**Great****57%**

top-5 brand share — no brand owns this niche

**Competition**

**Good****47%**

top-5 click share — leaders hold, buyers still browse

**Avg price**

**Good****$152.27**

avg listing price — sweet spot $15–$100

**Returns**

**Good****2.7%**

return rate — above 5% kills the launch gate

**Market size**

**Good****$285K**

$285K/yr · 101K searches

**Conversion**

**Bad****1.8%**

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

**Growth**

**Bad****-21.7%**

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

**Price range**

**Bad****$58.64–$345.32**

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

**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")

## Search terms