Fewer than twelve months?

Missing late-year cells default to zero—pad with real data when possible.

Southern hemisphere seasons?

Months stay calendar-based; interpret peaks relative to your market manually.

Can I use clicks instead of volume?

Yes if the twelve cells represent comparable relative demand.

Leap years or 53-week years?

Not modeled—this is a simple monthly shape tool.

Keyword Research

Live

Keyword Seasonality Analyzer

Detect seasonal demand cycles across your keyword set.

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Monthly volume CSV

Header: keyword,jan,feb,...,dec

Per-keyword

hiking boots

seasonal

Peak Jul (10,200) · Trough Feb (3,100) · Peak/Trough 3.3× · CV 0.41

trail running shoes

year-round

Peak May (6,300) · Trough Dec (5,200) · Peak/Trough 1.2× · CV 0.06

ugly christmas sweater

highly-seasonal

Peak Dec (12,000) · Trough Jun (30) · Peak/Trough 400.0× · CV 2.26

ski resorts

highly-seasonal

Peak Dec (11,200) · Trough Jul (300) · Peak/Trough 37.3× · CV 0.86

swimsuits

highly-seasonal

Peak Jul (13,200) · Trough Dec (2,100) · Peak/Trough 6.3× · CV 0.69

Start here · What seasonality means here

Each row is keyword followed by twelve numeric cells read as January through December (slice ignores any extra trailing columns).

Coefficient of variation (standard deviation / mean) drives pattern badges: year-round when CV < 0.2, seasonal when CV < 0.6, otherwise highly-seasonal. The UI also surfaces peak and trough month names, volumes, their peak/trough ratio, and a 12-bar sparkline highlighting the peak month.

Use relative volumes from your keyword tool—absolute accuracy matters less than month-to-month shape.

When to use this tool

Retail and fashion
Plan swimsuit pushes versus coat campaigns with explicit peak labels.
Travel and events
See ski vs summer resort demand curves side by side.
B2B vs B2C blends
Separate stable SaaS head terms from volatile consumer gifts.
Budget pacing
Align paid spend ramps with highly-seasonal keywords before organic catches up.

Examples

Walk through these with the form above — they are practice scenarios, not live data.

Ugly sweater spike

Try this

Import a row with tiny numbers Jan–Sep and a December spike.

What to look for

Badge becomes highly-seasonal with a large peak/trough ratio.

Flat line

Try this

Use nearly identical monthly numbers for a broad informational term.

What to look for

year-round with low CV and muted bars.

Short tutorial

Follow in order the first time you use the tool; later you can skip to the step you need.

Step 1 — Export 12-month series
Pull consistent geography and device settings per keyword.
Step 2 — Format header row
Start with keyword then jan through dec labels as in the sample.
Step 3 — Paste all keywords
Each line becomes its own card with stats.
Step 4 — Sort strategies by pattern
Prioritize highly-seasonal terms when briefing upcoming quarters.
Step 5 — Extend forecasting
Send stable winners to search volume estimator and noisy ones to keyword trend forecaster or serp volatility tracker.

More detail

New here? Skim Start here first, then run one Examples scenario in the form above.

Keyword Seasonality Analyzer does one job: detect seasonal demand cycles across your keyword set. It lives under Keyword Research on SEOToolkits, where the beginner idea is simple: Keyword research is how SEOs understand the words people use and the intent behind those words.

FAQ

Fewer than twelve months?: Missing late-year cells default to zero—pad with real data when possible.
Southern hemisphere seasons?: Months stay calendar-based; interpret peaks relative to your market manually.
Can I use clicks instead of volume?: Yes if the twelve cells represent comparable relative demand.
Leap years or 53-week years?: Not modeled—this is a simple monthly shape tool.