---
title: "Products — 255/45r19 - Flapen"
canonical_url: "https://flapen.com/research/us/automotive/255-45r19/products"
last_updated: "2026-08-09T13:33:38.620Z"
locale: en
meta:
  description: "Niche score 54/100 · $107K/yr market · 66K searches/yr. Prices mostly outside the sweet spot ($82.70–$486.47) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 54/100 · $107K/yr market · 66K searches/yr. Prices mostly outside the sweet spot ($82.70–$486.47) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Products — 255/45r19 - Flapen"
---

# **255/45r19**

**Worth a look**

Shows low returns (0.0%), but prices mostly outside the sweet spot ($82.70–$486.47) keeps it on the watch list.

Market size 26Growth 47Conversion 11Competition 78Returns 100Price range 4Avg price 48Brand share 81Review moat 69Quality gap 63

**Returns**

**Incredible****0.0%**

return rate — above 5% kills the launch gate

**Brand share**

**Great****54%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****37%**

top-5 click share — an open shelf

**Review moat**

**Good****728.85**

avg incumbent reviews — the moat a new listing must climb

**Quality gap**

**Good****4.4★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Okay****$190.96**

avg listing price — sweet spot $15–$100

**Growth**

**Okay****+17.5%**

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

**Market size**

**Okay****$107K**

$107K/yr · 66K searches

**Conversion**

**Bad****0.9%**

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

**Price range**

**Bad****$82.70–$486.47**

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")

## Products