---
title: "Products — white suit set for women - Flapen"
canonical_url: "https://flapen.com/research/us/clothing-shoes-jewelry/white-suit-set-for-women/products"
last_updated: "2026-08-09T07:32:12.102Z"
locale: en
meta:
  description: "Niche score 50/100 · $26K/yr market · 304K searches/yr · $51.06 avg price. High returns (18.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 50/100 · $26K/yr market · 304K searches/yr · $51.06 avg price. High returns (18.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Products — white suit set for women - Flapen"
---

# **white suit set for women**

**Worth a look**

Shows a fragmented shelf (top 5 take 9% of clicks), but high returns (18.4%) keeps it on the watch list.

Market size 7Growth 28Conversion 2Competition 98Returns 0Price range 65Avg price 93Brand share 95Review moat 66Quality gap 92

**Competition**

**Incredible****9%**

top-5 click share — an open shelf

**Brand share**

**Incredible****37%**

top-5 brand share — no brand owns this niche

**Avg price**

**Great****$51.06**

avg listing price — sweet spot $15–$100

**Quality gap**

**Great****4.0★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Good****848.64**

avg incumbent reviews — the moat a new listing must climb

**Price range**

**Good****$9.97–$140.04**

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

**Growth**

**Okay****+2.6%**

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

**Market size**

**Bad****$26K**

$26K/yr · 304K searches

**Conversion**

**Bad****0.2%**

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

**Returns**

**Bad****18.4%**

return rate — above 5% kills the launch gate

**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")

## Products