---
title: "Trend — harley floorboards - Flapen"
canonical_url: "https://flapen.com/research/us/automotive/harley-floorboards/trend"
last_updated: "2026-08-10T22:49:59.618Z"
locale: en
meta:
  description: "Niche score 54/100 · $151K/yr market. Prices mostly outside the sweet spot ($28.14–$1328.02) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 54/100 · $151K/yr market. Prices mostly outside the sweet spot ($28.14–$1328.02) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — harley floorboards - Flapen"
---

# **harley floorboards**

**Worth a look**

Shows a thin review moat (71 avg reviews), but prices mostly outside the sweet spot ($28.14–$1328.02) keeps it on the watch list.

Market size 32Growth 39Conversion 7Competition 95Returns 29Price range 6Avg price 60Brand share 90Review moat 96Quality gap 82

**Review moat**

**Incredible****70.92**

avg incumbent reviews — the moat a new listing must climb

**Competition**

**Incredible****19%**

top-5 click share — an open shelf

**Brand share**

**Great****45%**

top-5 brand share — no brand owns this niche

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Good****$145.94**

avg listing price — sweet spot $15–$100

**Growth**

**Okay****+11.5%**

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

**Market size**

**Okay****$151K**

$151K/yr · 189K searches

**Returns**

**Okay****4.7%**

return rate — above 5% kills the launch gate

**Conversion**

**Bad****0.5%**

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

**Price range**

**Bad****$28.14–$1328.02**

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

**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