---
title: "Trend — zipline trolley - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/zipline-trolley/trend"
last_updated: "2026-08-11T01:13:28.448Z"
locale: en
meta:
  description: "Niche score 51/100 · $65K/yr market · 50K searches/yr · $64.11 avg price. A small market ($65K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 51/100 · $65K/yr market · 50K searches/yr · $64.11 avg price. A small market ($65K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — zipline trolley - Flapen"
---

# **zipline trolley**

**Worth a look**

Shows a sweet-spot price point ($64.11 avg), but a small market ($65K/yr) keeps it on the watch list.

Market size 16Growth 79Conversion 25Competition 50Returns 68Price range 22Avg price 88Brand share 67Review moat 87Quality gap 37

**Avg price**

**Great****$64.11**

avg listing price — sweet spot $15–$100

**Review moat**

**Great****255.82**

avg incumbent reviews — the moat a new listing must climb

**Growth**

**Great****+69.7%**

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

**Returns**

**Good****2.3%**

return rate — above 5% kills the launch gate

**Brand share**

**Good****65%**

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

**Competition**

**Okay****55%**

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

**Quality gap**

**Okay****4.5★**

avg incumbent rating — lower means beatable quality

**Conversion**

**Okay****2.0%**

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

**Price range**

**Bad****$9.96–$390.60**

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

**Market size**

**Bad****$65K**

$65K/yr · 50K searches

**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")

## Trend