---
title: "Products — hexagon led lights - Flapen"
canonical_url: "https://flapen.com/research/uk/lighting/hexagon-led-lights/products"
last_updated: "2026-07-31T10:01:11.084Z"
locale: en
meta:
  description: "Niche score 57/100 · £157K/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 57/100 · £157K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Products — hexagon led lights - Flapen"
---

# **hexagon led lights**

**Worth a look**

Shows a thin review moat (203 avg reviews), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 33Growth 15Conversion 17Competition 82Returns 74Price range 54Avg price 88Brand share 89Review moat 90Quality gap 76

**Review moat**

**Great****202.88**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Great****46%**

top-5 brand share — no brand owns this niche

**Avg price**

**Great****£65.39**

avg listing price — sweet spot $15–$100

**Competition**

**Great****33%**

top-5 click share — an open shelf

**Quality gap**

**Great****4.3★**

avg incumbent rating — lower means beatable quality

**Returns**

**Good****2.0%**

return rate — above 5% kills the launch gate

**Price range**

**Good****£10.82–£167.79**

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

**Market size**

**Okay****£157K**

£157K/yr · 173K searches

**Conversion**

**Bad****1.4%**

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

**Growth**

**Bad****-19.8%**

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

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