---
title: "Trend — ball bearing bow - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/ball-bearing-bow/trend"
last_updated: "2026-08-06T16:20:13.016Z"
locale: en
meta:
  description: "Niche score 52/100 · $120K/yr market · 201K searches/yr · $161.87 avg price. Weak search conversion (0.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 52/100 · $120K/yr market · 201K searches/yr · $161.87 avg price. Weak search conversion (0.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — ball bearing bow - Flapen"
---

# **ball bearing bow**

**Worth a look**

Shows beatable incumbent ratings (3.9★), but weak search conversion (0.4%) keeps it on the watch list.

Market size 28Growth 12Conversion 5Competition 75Returns 83Price range 17Avg price 54Brand share 84Review moat 92Quality gap 96

**Quality gap**

**Incredible****3.9★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Great****153.75**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Great****51%**

top-5 brand share — no brand owns this niche

**Returns**

**Great****1.6%**

return rate — above 5% kills the launch gate

**Competition**

**Good****40%**

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

**Avg price**

**Good****$161.87**

avg listing price — sweet spot $15–$100

**Market size**

**Okay****$120K**

$120K/yr · 201K searches

**Price range**

**Bad****$11.12–$499.82**

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

**Growth**

**Bad****-27.0%**

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

**Conversion**

**Bad****0.4%**

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

**Signals**[** Low Review Barrier**](https://flapen.com/research/niches?market=us&signal=low_review_barrier "Top brand's reviews < 500") [** Quality Gap**](https://flapen.com/research/niches?market=us&signal=quality_gap "Avg rating < 4.0") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Trend