---
title: "Trend — underwater scooter - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/underwater-scooter/trend"
last_updated: "2026-08-11T04:26:31.960Z"
locale: en
meta:
  description: "Niche score 53/100 · $1.8M/yr market · 733K searches/yr. Pricing outside the sweet spot ($518.93 avg) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 53/100 · $1.8M/yr market · 733K searches/yr. Pricing outside the sweet spot ($518.93 avg) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — underwater scooter - Flapen"
---

# **underwater scooter**

**Worth a look**

Shows demand growing +130.6% this quarter, but pricing outside the sweet spot ($518.93 avg) keeps it on the watch list.

Market size 91Growth 96Conversion 6Competition 53Returns 19Price range 0Avg price 0Brand share 16Review moat 94Quality gap 85

**Growth**

**Incredible****+130.6%**

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

**Review moat**

**Great****113.71**

avg incumbent reviews — the moat a new listing must climb

**Market size**

**Great****$1.8M**

$1.8M/yr · 733K searches

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Competition**

**Good****53%**

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

**Returns**

**Bad****6.7%**

return rate — above 5% kills the launch gate

**Brand share**

**Bad****94%**

top-5 brand share — brand-locked demand

**Conversion**

**Bad****0.5%**

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

**Avg price**

**Bad****$518.93**

avg listing price — sweet spot $15–$100

**Price range**

**Bad****$88.42–$2952.72**

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

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** High Returns**](https://flapen.com/research/niches?market=us&signal=high_returns "Return rate > 5%") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Trend