Create a doc/spreadsheet page for each niche with:
Niche Idea:
Target Customer:
Core Keyword:
Related Keywords (5–10):
Location: (Your target country/region)
Time Range Tested: (12 months / 5 years)
Trend Direction: (Up / Flat / Down)
Seasonality: (High / Medium / Low)
Peak Months:
Breakout Related Queries:
Best Regions:
Notes (Opportunities / Risks):
Verdict: (Green / Yellow / Red)
Google Trends works best with specific search terms (not broad niche titles).
Core keyword (main product term)
Problem keyword (pain point)
Audience keyword (who it’s for)
Example (Niche: Desk comfort for remote workers):
Core: “ergonomic footrest”
Problem: “back pain from sitting”
Audience: “home office setup”
Action (per niche):
Write 10 keywords, including:
3 product terms
3 problem terms
2 audience terms
2 feature terms
In Google Trends:
Set Location (ex: United States)
Set Time range to:
Past 12 months (recent reality)
then Past 5 years (long-term direction)
Set Category if relevant (optional)
Set Search type:
Start with Web Search
Then check YouTube Search if your niche is visual/product-driven
Action:
Write down your default settings so you use the same setup for every niche.
Enter your core keyword.
Look at:
Is the line mostly up, flat, or down?
Is interest steady, or does it spike randomly?
Are there long periods near zero? (bad sign)
Interpretation:
Steady or rising = good base demand
Spiky with long dead zones = trend/fad risk
Declining for 5 years = avoid or pivot keyword/niche
Action:
Label the trend:
Up
Flat
Down
Spiky/Fad
Click “+ Compare” and add:
a second product keyword
a feature keyword
a competitor-ish keyword (if known)
a broader category keyword
Example:
“collagen powder” vs “collagen gummies” vs “marine collagen” vs “collagen peptides”
What you’re looking for:
Which term is most searched
Which is growing fastest
Which is stable year-round
Action (per niche):
Pick your “winner keyword” (best balance of volume + growth + stability).
Switch between:
12 months view: to see seasonal spikes
5 years view: to see if spikes repeat yearly
Common seasonal patterns:
Fitness: Jan–Feb spikes
Outdoor: spring/summer spikes
Gifts: Nov–Dec spikes
School: Aug–Sep spikes
Action:
Record:
peak months
low months
whether the pattern repeats annually
Scroll to Interest by subregion.
This helps you:
target ads by state/region
tailor messaging
confirm if demand is widespread or isolated
Action:
Write down:
Top 5 regions
Any surprising strong areas
Interpretation:
Widespread interest = broader market
Concentrated interest = niche targeting opportunity
Go to:
Related topics
Related queries
Then switch from:
“Top” → “Rising”
This is where you find:
breakout product ideas
emerging keyword variations
new sub-niches
Action (per niche):
Copy 5 rising queries
Star anything marked “Breakout”
Add them to your keyword list for later (SEO + ads)
To check for fads:
Set time range to Past 5 years
Look for:
sudden rise + sudden drop
one huge spike and then nothing
inconsistent interest without pattern
Green flags:
slow upward slope
consistent peaks each year
stable baseline demand
Red flags:
“rocket then crash”
one-time viral spike
heavy volatility
Action:
Mark the niche:
Evergreen
Seasonal
Trend/Fad risk
Compare:
broader category term (ex: “dog anxiety”)
vs
product term (ex: “calming dog bed”)
Why this matters:
Sometimes the category is rising, but a specific product is flat.
That tells you to build a store around the problem, not one product.
Action:
Write one sentence:
“The market is growing around ___, so our store should focus on ___.”
Score each niche 1–5:
Trend direction (up vs down)
Stability (consistent vs spiky)
Seasonality risk (manageable vs extreme)
Keyword opportunities (many rising queries vs few)
Geo spread (broad vs narrow)
Verdict:
✅ Green: good to proceed
⚠️ Yellow: proceed with seasonal plan or niche angle shift
❌ Red: pivot keywords or drop niche
For each niche, use what you learned to decide:
your primary SEO keyword
your ad targeting regions
the best months to scale
what products to prioritize
what content to create first (blogs, guides, collections)
Example outputs:
“Peak interest is May–July, so we launch in March and scale ads in April.”
“Breakout query shows ‘mini’ version rising—add compact versions first.”
For each niche, you should finish with:
✅ 10 tested keywords
✅ 12-month + 5-year trend screenshot/notes
✅ 1 winner keyword selected
✅ seasonality identified
✅ 5 rising queries saved
✅ final verdict + trends score