---
title: "Trend — bird feeder camera - Flapen"
canonical_url: "https://flapen.com/research/uk/home-garden/bird-feeder-camera/trend"
last_updated: "2026-07-31T14:35:18.099Z"
locale: en
meta:
  description: "Niche score 61/100 · £464K/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 · £464K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — bird feeder camera - Flapen"
---

# **bird feeder camera**

**Worth a look**

Shows beatable incumbent ratings (4.1★), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 58Growth 26Conversion 24Competition 80Returns 53Price range 52Avg price 87Brand share 87Review moat 89Quality gap 90

**Quality gap**

**Great****4.1★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Great****213.22**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Great****48%**

top-5 brand share — no brand owns this niche

**Avg price**

**Great****£68.24**

avg listing price — sweet spot $15–$100

**Competition**

**Great****35%**

top-5 click share — an open shelf

**Market size**

**Good****£464K**

£464K/yr · 350K searches

**Returns**

**Good****2.9%**

return rate — above 5% kills the launch gate

**Price range**

**Good****£5.20–£169.57**

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

**Growth**

**Okay****+0.8%**

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

**Conversion**

**Bad****1.9%**

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

**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")