---
title: "Products — th350 shifter - Flapen"
canonical_url: "https://flapen.com/research/us/automotive/th350-shifter/products"
last_updated: "2026-08-09T16:41:38.897Z"
locale: en
meta:
  description: "Niche score 50/100 · $180K/yr market · 112K searches/yr · $215.10 avg price. Weak search conversion (0.8%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 50/100 · $180K/yr market · 112K searches/yr · $215.10 avg price. Weak search conversion (0.8%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Products — th350 shifter - Flapen"
---

# **th350 shifter**

**Worth a look**

Shows a thin review moat (55 avg reviews), but weak search conversion (0.8%) keeps it on the watch list.

Market size 36Growth 22Conversion 9Competition 81Returns 43Price range 17Avg price 44Brand share 84Review moat 97Quality gap 78

**Review moat**

**Incredible****55.16**

avg incumbent reviews — the moat a new listing must climb

**Brand share**

**Great****51%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****34%**

top-5 click share — an open shelf

**Quality gap**

**Great****4.3★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Okay****$215.10**

avg listing price — sweet spot $15–$100

**Returns**

**Okay****3.6%**

return rate — above 5% kills the launch gate

**Market size**

**Okay****$180K**

$180K/yr · 112K searches

**Growth**

**Bad****-6.5%**

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

**Price range**

**Bad****$12.00–$515.28**

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

**Conversion**

**Bad****0.8%**

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

**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