---
title: "Search terms — 2023 kia sportage floor mats - Flapen"
canonical_url: "https://flapen.com/research/us/automotive/2023-kia-sportage-floor-mats/search-terms"
last_updated: "2026-08-07T13:55:20.793Z"
locale: en
meta:
  description: "Niche score 46/100 · $121K/yr market · 39K searches/yr · $99.25 avg price. Doesn't clear our bar today. Data updated Jul 2026."
  "og:description": "Niche score 46/100 · $121K/yr market · 39K searches/yr · $99.25 avg price. Doesn't clear our bar today. Data updated Jul 2026."
  "og:title": "Search terms — 2023 kia sportage floor mats - Flapen"
---

# **2023 kia sportage floor mats**

**Skip it**

A deep review moat (4,116 avg reviews) — this niche doesn't clear our bar today.

Market size 28Growth 28Conversion 39Competition 74Returns 27Price range 46Avg price 75Brand share 84Review moat 25Quality gap 37

**Brand share**

**Great****51%**

top-5 brand share — no brand owns this niche

**Avg price**

**Great****$99.25**

avg listing price — sweet spot $15–$100

**Competition**

**Good****41%**

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

**Price range**

**Okay****$31.60–$179.49**

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

**Conversion**

**Okay****3.1%**

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

**Quality gap**

**Okay****4.5★**

avg incumbent rating — lower means beatable quality

**Market size**

**Okay****$121K**

$121K/yr · 39K searches

**Growth**

**Okay****+2.8%**

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

**Returns**

**Okay****4.8%**

return rate — above 5% kills the launch gate

**Review moat**

**Bad****4,115.51**

avg incumbent reviews — the moat a new listing must climb

**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")

## Search terms