---
title: "Search terms — pond vacuum - Flapen"
canonical_url: "https://flapen.com/research/uk/home-garden/pond-vacuum/search-terms"
last_updated: "2026-07-31T19:49:55.294Z"
locale: en
meta:
  description: "Niche score 60/100 · £122K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 60/100 · £122K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — pond vacuum - Flapen"
---

# **pond vacuum**

**Worth a look**

Shows demand growing +151.7% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 28Growth 96Conversion 22Competition 39Returns 96Price range 39Avg price 85Brand share 48Review moat 57Quality gap 96

**Growth**

**Incredible****+151.7%**

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

**Quality gap**

**Incredible****3.9★**

avg incumbent rating — lower means beatable quality

**Returns**

**Incredible****0.7%**

return rate — above 5% kills the launch gate

**Avg price**

**Great****£72.10**

avg listing price — sweet spot $15–$100

**Review moat**

**Good****1,207.29**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Okay****76%**

top-5 brand share — brands hold most of the demand

**Competition**

**Okay****62%**

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

**Price range**

**Okay****£10.24–£230.00**

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

**Market size**

**Okay****£122K**

£122K/yr · 96K searches

**Conversion**

**Bad****1.8%**

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

**Signals**[** Trending**](https://flapen.com/research/niches?market=uk&signal=trending "Search growth > 100% (90d)") [** Quality Gap**](https://flapen.com/research/niches?market=uk&signal=quality_gap "Avg rating < 4.0") [** High Price**](https://flapen.com/research/niches?market=uk&signal=high_price "Avg price > $50")