🔍 Helium 10 Market Validation

Learn the tools while validating the desk organizer. Exercises = real research.

⏱️ ~2 hours total

🧲 Magnet — Keyword Research

Discovers what people actually search for on Amazon. Enter a seed keyword, get related searches with volume data. This tells you if demand exists in the words customers use.

Exercise 1: Core Keyword Volume ~20 min

Search these keywords in Magnet:

desk organizer wood desk organizer wooden desk organizer desk organizer with light LED desk organizer desk caddy desk valet pen holder wood

Go to Helium 10 → Magnet
Enter each keyword, note Search Volume and Competing Products
Look at "Magnet IQ Score" — higher = better opportunity
Check related keywords that Magnet suggests — any surprises?
Export results if useful

📊 Record for Claude:

"desk organizer" volume:

"wood desk organizer":

"desk organizer with light":

"LED desk organizer":

Best related keyword found:

Its volume:

🔬 Xray — Product Research

Chrome extension that overlays competitor data on Amazon search results. Shows estimated revenue, sales, price, reviews. This tells you what price points actually move volume.

Exercise 2: Price Band Analysis ~30 min

Install Helium 10 Chrome Extension if not already
Go to Amazon, search "wood desk organizer"
Click the Helium 10 extension icon → Xray
Sort by Revenue (descending) — who's actually making money?
Note the price of top 10 revenue generators
Look for gaps: anyone above $50 with good sales?
Repeat for "desk organizer with light"

📊 Record for Claude:

Top seller price:

Top seller monthly rev:

Price where volume clusters:

Anything above $50 selling?

Avg review count top 10:

Lowest reviews in top 10:

Exercise 3: Competition Depth ~20 min

Still in Xray results for "wood desk organizer"
Count how many listings on page 1 have >1000 reviews
Count how many have <100 reviews but still show sales
Note if top results are big brands or small sellers
Check "Listing Quality Score" if available

📊 Record for Claude:

Listings with >1000 reviews:

Listings <100 reviews selling:

Dominated by brands?

🧠 Cerebro — Reverse ASIN Lookup

Enter a competitor's ASIN, see every keyword they rank for. This tells you what's actually driving their traffic — and what opportunities they're missing.

Exercise 4: Competitor Keyword Mining ~30 min

From Xray, pick the top 3 revenue sellers in "wood desk organizer"
Copy their ASINs (in the URL after /dp/)
Go to Helium 10 → Cerebro
Paste all 3 ASINs (comma-separated)
Look at "Keyword Phrase" results — sort by Search Volume
Filter for keywords where at least 2/3 competitors rank
Note any keywords you didn't think of

📊 Record for Claude:

ASIN 1 (top seller):

ASIN 2:

ASIN 3:

Top shared keyword:

Surprising keyword found:

Any rank for "light" keywords?

Exercise 5: Review Mining ~20 min

Go to each competitor's listing on Amazon
Filter reviews to 1-3 stars only
Read the top 10-15 negative reviews
Note recurring complaints
Ask: does your product solve any of these?

📊 Record for Claude:

Complaint 1:

Complaint 2:

Complaint 3:

Your product solves any?

⚖️ Go / Pivot / Kill Decision

Based on what you found, click the result for each criterion:

Lighting keywords have search volume? >500/mo = go
Products above $50 showing sales? Any velocity = go
Low-review listings (<500) making sales? Means you can break in
Negative reviews match your differentiators? You solve their pain
Category not dominated by big brands? Small sellers can compete

📋 Copy This to Claude

After completing exercises, click "Generate Summary" then paste to Claude for analysis.