---
title: "Trend — taylormade bag - Flapen"
canonical_url: "https://flapen.com/research/us/sports-outdoors/taylormade-bag/trend"
last_updated: "2026-08-11T12:25:38.325Z"
locale: en
meta:
  description: "Niche score 54/100 · $73K/yr market · 107K searches/yr · $171.39 avg price. Weak search conversion (0.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 54/100 · $73K/yr market · 107K searches/yr · $171.39 avg price. Weak search conversion (0.4%) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — taylormade bag - Flapen"
---

# **taylormade bag**

**Worth a look**

Shows no brand lock-in (top 5 brands take 46% of clicks), but weak search conversion (0.4%) keeps it on the watch list.

Market size 18Growth 69Conversion 5Competition 86Returns 86Price range 25Avg price 51Brand share 89Review moat 82Quality gap 24

**Brand share**

**Great****46%**

top-5 brand share — no brand owns this niche

**Competition**

**Great****29%**

top-5 click share — an open shelf

**Returns**

**Great****1.5%**

return rate — above 5% kills the launch gate

**Review moat**

**Great****365.76**

avg incumbent reviews — the moat a new listing must climb

**Growth**

**Good****+50.1%**

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

**Avg price**

**Good****$171.39**

avg listing price — sweet spot $15–$100

**Price range**

**Okay****$27.73–$316.71**

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

**Quality gap**

**Bad****4.6★**

avg incumbent rating — lower means beatable quality

**Market size**

**Bad****$73K**

$73K/yr · 107K searches

**Conversion**

**Bad****0.4%**

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")

## Trend