---
title: "Trend — collagum collagen powder for teeth - Flapen"
canonical_url: "https://flapen.com/research/us/health-household/collagum-collagen-powder-for-teeth/trend"
last_updated: "2026-08-11T11:35:44.651Z"
locale: en
meta:
  description: "Niche score 64/100 · $30K/yr market · 16K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 64/100 · $30K/yr market · 16K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — collagum collagen powder for teeth - Flapen"
---

# **collagum collagen powder for teeth**

**Worth a look**

Shows demand growing +230.1% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 7Growth 98Conversion 77Competition 22Returns 98Price range 90Avg price 95Brand share 53Review moat 98Quality gap 80

**Growth**

**Incredible****+230.1%**

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

**Review moat**

**Incredible****39.7**

avg incumbent reviews — the moat a new listing must climb

**Returns**

**Incredible****0.4%**

return rate — above 5% kills the launch gate

**Avg price**

**Incredible****$25.38**

avg listing price — sweet spot $15–$100

**Price range**

**Great****$13.94–$32.77**

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

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Conversion**

**Great****7.5%**

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

**Brand share**

**Good****74%**

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

**Competition**

**Bad****74%**

top-5 click share — a locked-up shelf

**Market size**

**Bad****$30K**

$30K/yr · 16K searches

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** Low Review Barrier**](https://flapen.com/research/niches?market=us&signal=low_review_barrier "Top brand's reviews < 500")

## Trend