---
title: "Trend — silicone scar sheets - Flapen"
canonical_url: "https://flapen.com/research/sa/health/silicone-scar-sheets/trend"
last_updated: "2026-08-05T23:19:01.958Z"
locale: en
meta:
  description: "Niche score 56/100 · $224K/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 56/100 · $224K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — silicone scar sheets - Flapen"
---

# **silicone scar sheets**

**Worth a look**

Shows low returns (1.5%), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 43Growth 25Conversion 47Competition 56Returns 86Price range 32Avg price 82Brand share 77Review moat 49Quality gap 79

**Returns**

**Great****1.5%**

return rate — above 5% kills the launch gate

**Avg price**

**Great****$81.92**

avg listing price — sweet spot $15–$100

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Brand share**

**Great****58%**

top-5 brand share — no brand owns this niche

**Competition**

**Good****51%**

top-5 click share — leaders hold, buyers still browse

**Review moat**

**Okay****1,579**

avg incumbent reviews — the moat a new listing must climb

**Conversion**

**Okay****3.8%**

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

**Market size**

**Okay****$224K**

$224K/yr · 73K searches

**Price range**

**Okay****$15.70–$282.65**

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

**Growth**

**Bad****-0.1%**

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

**Signals**[** No Dominant Brand**](https://flapen.com/research/niches?market=sa&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=sa&signal=low_review_barrier "Top brand's reviews < 500") [** High Price**](https://flapen.com/research/niches?market=sa&signal=high_price "Avg price > $50")

## Trend