---
title: "Products — bike wheels - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/bike-wheels/products"
last_updated: "2026-08-06T12:31:48.287Z"
locale: en
meta:
  description: "Niche score 54/100 · $60K/yr market · 357K searches/yr · $92.71 avg price. Weak search conversion (0.2%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 54/100 · $60K/yr market · 357K searches/yr · $92.71 avg price. Weak search conversion (0.2%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Products — bike wheels - Flapen"
---

# **bike wheels**

**Worth a look**

Shows no brand lock-in (top 5 brands take 37% of clicks), but weak search conversion (0.2%) keeps it on the watch list.

Market size 15Growth 64Conversion 2Competition 86Returns 70Price range 21Avg price 78Brand share 95Review moat 62Quality gap 47

**Brand share**

**Incredible****37%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****29%**

top-5 click share — an open shelf

**Avg price**

**Great****$92.71**

avg listing price — sweet spot $15–$100

**Returns**

**Good****2.2%**

return rate — above 5% kills the launch gate

**Growth**

**Good****+41.7%**

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

**Review moat**

**Good****1,023.67**

avg incumbent reviews — the moat a new listing must climb

**Quality gap**

**Okay****4.5★**

avg incumbent rating — lower means beatable quality

**Price range**

**Bad****$6.23–$417.73**

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

**Market size**

**Bad****$60K**

$60K/yr · 357K searches

**Conversion**

**Bad****0.2%**

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

**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")

## Products