---
title: "Search terms — underlayment for laminate flooring - Flapen"
canonical_url: "https://flapen.com/research/us/tools-home-improvement/underlayment-for-laminate-flooring/search-terms"
last_updated: "2026-08-08T14:26:46.623Z"
locale: en
meta:
  description: "Niche score 53/100 · $661K/yr market · 277K searches/yr · $75.37 avg price. Soft demand (-0.5% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 53/100 · $661K/yr market · 277K searches/yr · $75.37 avg price. Soft demand (-0.5% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — underlayment for laminate flooring - Flapen"
---

# **underlayment for laminate flooring**

**Worth a look**

Shows a fragmented shelf (top 5 take 31% of clicks), but soft demand (-0.5% this quarter) keeps it on the watch list.

Market size 67Growth 25Conversion 40Competition 84Returns 31Price range 60Avg price 84Brand share 38Review moat 78Quality gap 50

**Competition**

**Great****31%**

top-5 click share — an open shelf

**Avg price**

**Great****$75.37**

avg listing price — sweet spot $15–$100

**Review moat**

**Great****436.78**

avg incumbent reviews — the moat a new listing must climb

**Market size**

**Good****$661K**

$661K/yr · 277K searches

**Price range**

**Good****$14.80–$155.47**

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

**Quality gap**

**Good****4.5★**

avg incumbent rating — lower means beatable quality

**Conversion**

**Okay****3.2%**

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

**Brand share**

**Okay****82%**

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

**Returns**

**Okay****4.5%**

return rate — above 5% kills the launch gate

**Growth**

**Bad****-0.5%**

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") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Search terms