---
title: "Search terms — paydirt - Flapen"
canonical_url: "https://flapen.com/research/us/patio-lawn-garden/paydirt/search-terms"
last_updated: "2026-08-07T21:12:55.237Z"
locale: en
meta:
  description: "Niche score 57/100 · $423K/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 · $423K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — paydirt - Flapen"
---

# **paydirt**

**Worth a look**

Shows beatable incumbent ratings (3.5★), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 56Growth 14Conversion 37Competition 63Returns 97Price range 44Avg price 90Brand share 31Review moat 81Quality gap 100

**Quality gap**

**Incredible****3.5★**

avg incumbent rating — lower means beatable quality

**Returns**

**Incredible****0.7%**

return rate — above 5% kills the launch gate

**Avg price**

**Great****$58.44**

avg listing price — sweet spot $15–$100

**Review moat**

**Great****385.28**

avg incumbent reviews — the moat a new listing must climb

**Competition**

**Good****47%**

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

**Market size**

**Good****$423K**

$423K/yr · 244K searches

**Price range**

**Okay****$22.30–$197.04**

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

**Conversion**

**Okay****3.0%**

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

**Brand share**

**Okay****86%**

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

**Growth**

**Bad****-23.0%**

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

**Signals**[** Low Review Barrier**](https://flapen.com/research/niches?market=us&signal=low_review_barrier "Top brand's reviews < 500") [** Quality Gap**](https://flapen.com/research/niches?market=us&signal=quality_gap "Avg rating < 4.0") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Search terms