---
title: "Search terms — dado blades for 10 table saw - Flapen"
canonical_url: "https://flapen.com/research/us/tools-home-improvement/dado-blades-for-10-table-saw/search-terms"
last_updated: "2026-08-08T23:39:04.527Z"
locale: en
meta:
  description: "Niche score 50/100 · $609K/yr market · 247K searches/yr · $97.99 avg price. Soft demand (-18.1% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 50/100 · $609K/yr market · 247K searches/yr · $97.99 avg price. Soft demand (-18.1% this quarter) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Search terms — dado blades for 10 table saw - Flapen"
---

# **dado blades for 10 table saw**

**Worth a look**

Shows no brand lock-in (top 5 brands take 59% of clicks), but soft demand (-18.1% this quarter) keeps it on the watch list.

Market size 65Growth 16Conversion 31Competition 57Returns 56Price range 37Avg price 76Brand share 76Review moat 76Quality gap 35

**Brand share**

**Great****59%**

top-5 brand share — no brand owns this niche

**Review moat**

**Great****484.8**

avg incumbent reviews — the moat a new listing must climb

**Avg price**

**Great****$97.99**

avg listing price — sweet spot $15–$100

**Market size**

**Good****$609K**

$609K/yr · 247K searches

**Competition**

**Good****51%**

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

**Returns**

**Good****2.8%**

return rate — above 5% kills the launch gate

**Price range**

**Okay****$14.69–$246.76**

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

**Quality gap**

**Okay****4.5★**

avg incumbent rating — lower means beatable quality

**Conversion**

**Okay****2.5%**

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

**Growth**

**Bad****-18.1%**

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

**Signals**[** No Dominant Brand**](https://flapen.com/research/niches?market=us&signal=no_dominant_brand "Top brand's click share < 20%") [** High Price**](https://flapen.com/research/niches?market=us&signal=high_price "Avg price > $50")

## Search terms