---
title: "Trend — lash light - Flapen"
canonical_url: "https://flapen.com/research/us/tools-home-improvement/lash-light/trend"
last_updated: "2026-08-09T04:26:43.210Z"
locale: en
meta:
  description: "Niche score 59/100 · $524K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 59/100 · $524K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — lash light - Flapen"
---

# **lash light**

**Worth a look**

Shows sweet-spot pricing room ($18.33–$93.35), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 61Growth 22Conversion 30Competition 75Returns 67Price range 95Avg price 90Brand share 69Review moat 72Quality gap 60

**Price range**

**Incredible****$18.33–$93.35**

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

**Avg price**

**Great****$57.74**

avg listing price — sweet spot $15–$100

**Competition**

**Great****40%**

top-5 click share — an open shelf

**Review moat**

**Good****635.63**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Good****64%**

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

**Returns**

**Good****2.3%**

return rate — above 5% kills the launch gate

**Market size**

**Good****$524K**

$524K/yr · 374K searches

**Quality gap**

**Good****4.4★**

avg incumbent rating — lower means beatable quality

**Conversion**

**Okay****2.4%**

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

**Growth**

**Bad****-5.2%**

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

**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