---
title: "Search terms — white dress - Flapen"
canonical_url: "https://flapen.com/research/uk/fashion/white-dress/search-terms"
last_updated: "2026-07-31T17:15:36.302Z"
locale: en
meta:
  description: "Niche score 61/100 · £20K/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 61/100 · £20K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — white dress - Flapen"
---

# **white dress**

**Worth a look**

Shows a fragmented shelf (top 5 take 6% of clicks), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 5Growth 96Conversion 2Competition 99Returns 13Price range 80Avg price 83Brand share 95Review moat 61Quality gap 86

**Competition**

**Incredible****6%**

top-5 click share — an open shelf

**Growth**

**Incredible****+159.1%**

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

**Brand share**

**Incredible****36%**

top-5 brand share — no brand owns this niche

**Quality gap**

**Great****4.1★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Great****£18.29**

avg listing price — sweet spot $15–$100

**Price range**

**Great****£5.80–£55.98**

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

**Review moat**

**Good****1,070.76**

avg incumbent reviews — the moat a new listing must climb

**Returns**

**Bad****8.3%**

return rate — above 5% kills the launch gate

**Market size**

**Bad****£20K**

£20K/yr · 608K searches

**Conversion**

**Bad****0.2%**

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

**Signals**[** Trending**](https://flapen.com/research/niches?market=uk&signal=trending "Search growth > 100% (90d)") [** No Dominant Brand**](https://flapen.com/research/niches?market=uk&signal=no_dominant_brand "Top brand's click share < 20%") [** High Returns**](https://flapen.com/research/niches?market=uk&signal=high_returns "Return rate > 5%")