---
title: "Search terms — altimeter - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/altimeter/search-terms"
last_updated: "2026-08-06T04:44:21.400Z"
locale: en
meta:
  description: "Niche score 50/100 · $76K/yr market · 68K searches/yr. Prices mostly outside the sweet spot ($5.75–$986.39) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 50/100 · $76K/yr market · 68K searches/yr. Prices mostly outside the sweet spot ($5.75–$986.39) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — altimeter - Flapen"
---

# **altimeter**

**Worth a look**

Shows beatable incumbent ratings (3.8★), but prices mostly outside the sweet spot ($5.75–$986.39) keeps it on the watch list.

Market size 19Growth 40Conversion 16Competition 75Returns 24Price range 9Avg price 79Brand share 72Review moat 93Quality gap 97

**Quality gap**

**Incredible****3.8★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Great****130.05**

avg incumbent reviews — the moat a new listing must climb

**Avg price**

**Great****$88.00**

avg listing price — sweet spot $15–$100

**Competition**

**Good****40%**

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

**Brand share**

**Good****62%**

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

**Growth**

**Okay****+12.1%**

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

**Returns**

**Bad****5.3%**

return rate — above 5% kills the launch gate

**Market size**

**Bad****$76K**

$76K/yr · 68K searches

**Conversion**

**Bad****1.3%**

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

**Price range**

**Bad****$5.75–$986.39**

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

**Signals**[** Quality Gap**](https://flapen.com/research/niches?market=us&signal=quality_gap "Avg rating < 4.0") [** High Returns**](https://flapen.com/research/niches?market=us&signal=high_returns "Return rate > 5%") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Search terms