---
title: "Trend — lacoste sonnenbrille herren - Flapen"
canonical_url: "https://flapen.com/research/de/fashion/lacoste-sonnenbrille-herren/trend"
last_updated: "2026-08-07T08:16:37.165Z"
locale: en
meta:
  description: "Niche score 54/100 · €81K/yr market · 129K searches/yr · €66.59 avg price. Weak search conversion (0.9%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 54/100 · €81K/yr market · 129K searches/yr · €66.59 avg price. Weak search conversion (0.9%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — lacoste sonnenbrille herren - Flapen"
---

# **lacoste sonnenbrille herren**

**Worth a look**

Shows demand growing +104.5% this quarter, but weak search conversion (0.9%) keeps it on the watch list.

Market size 20Growth 93Conversion 12Competition 84Returns 23Price range 73Avg price 87Brand share 32Review moat 48Quality gap 72

**Growth**

**Great****+104.5%**

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

**Avg price**

**Great****€66.59**

avg listing price — sweet spot $15–$100

**Competition**

**Great****31%**

top-5 click share — an open shelf

**Price range**

**Good****€9.59–€126.03**

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

**Quality gap**

**Good****4.3★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Okay****1,729.56**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Okay****86%**

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

**Returns**

**Bad****5.5%**

return rate — above 5% kills the launch gate

**Market size**

**Bad****€81K**

€81K/yr · 129K searches

**Conversion**

**Bad****0.9%**

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

**Signals**[** Trending**](https://flapen.com/research/niches?market=de&signal=trending "Search growth > 100% (90d)") [** High Returns**](https://flapen.com/research/niches?market=de&signal=high_returns "Return rate > 5%") [** High Price**](https://flapen.com/research/niches?market=de&signal=high_price "Avg price > $50")

## Trend