---
title: "Trend — people counter"
canonical_url: "https://flapen.com/research/us/sports-outdoors/people-counter/trend"
last_updated: "2026-08-12T13:05:50.259Z"
locale: en
meta:
  description: "Amazon product research for people counter: $17K/mo market, demand, competition, pricing, reviews & the verdict. Know if it's worth selling — Flapen."
  "og:description": "Amazon product research for people counter: $17K/mo market, demand, competition, pricing, reviews & the verdict. Know if it's worth selling — Flapen."
  "og:title": "Trend — people counter"
---

# **People Counter**

**Worth a look**

Shows low returns (1.1%), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 41Growth 20Conversion 51Competition 63Returns 94Price range 18Avg price 71Brand share 70Review moat 58Quality gap 88

**Returns**

**Great****1.1%**

return rate — above 5% kills the launch gate

**Quality gap**

**Great****4.1★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Good****$113.24**

avg listing price — sweet spot $15–$100

**Brand share**

**Good****63%**

top-5 brand share — brands hold most of the demand

**Competition**

**Good****47%**

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

**Review moat**

**Good****1,167.52**

avg incumbent reviews — the moat a new listing must climb

**Conversion**

**Good****4.2%**

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

**Market size**

**Okay****$210K**

$210K/yr · 44K searches

**Growth**

**Bad****-9.7%**

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

**Price range**

**Bad****$5.12–$487.40**

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

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

## Trend