---
title: "Trend — cole haan mens shoes - Flapen"
canonical_url: "https://flapen.com/research/us/clothing-shoes-jewelry/cole-haan-mens-shoes/trend"
last_updated: "2026-08-11T08:57:01.188Z"
locale: en
meta:
  description: "Niche score 52/100 · $6.9M/yr market · 33.7M searches/yr · $70.76 avg price. Weak search conversion (0.3%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 52/100 · $6.9M/yr market · 33.7M searches/yr · $70.76 avg price. Weak search conversion (0.3%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — cole haan mens shoes - Flapen"
---

# **cole haan mens shoes**

**Worth a look**

Shows a $6.9M/yr market, but weak search conversion (0.3%) keeps it on the watch list.

Market size 99Growth 20Conversion 4Competition 99Returns 11Price range 42Avg price 86Brand share 60Review moat 27Quality gap 43

**Market size**

**Incredible****$6.9M**

$6.9M/yr · 33.7M searches

**Competition**

**Incredible****4%**

top-5 click share — an open shelf

**Avg price**

**Great****$70.76**

avg listing price — sweet spot $15–$100

**Brand share**

**Good****69%**

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

**Quality gap**

**Okay****4.5★**

avg incumbent rating — lower means beatable quality

**Price range**

**Okay****$9.36–$209.84**

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

**Review moat**

**Okay****3,826.38**

avg incumbent reviews — the moat a new listing must climb

**Growth**

**Bad****-9.1%**

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

**Returns**

**Bad****8.9%**

return rate — above 5% kills the launch gate

**Conversion**

**Bad****0.3%**

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%") [** 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