Seasonality Reader

Upload a Google Trends, Search Console or GA4 export with dates. See your peak and quiet months, how strong the seasonality is, year-over-year change and when to publish before each peak.

or paste the CSV below
Google Trends: "Interest over time" → download (Past 5 years). Search Console: Performance → last 16 months → Export → use the Dates file. GA4: Reports → Acquisition with a Date or Month dimension → Share → Download CSV.
Leave empty to pick clicks, sessions or the Trends interest column automatically.

How to use the Seasonality Reader

  1. 1

    Export at least 12 months of data (2+ years is better) from Google Trends, Search Console or GA4.

  2. 2

    Upload or paste the CSV and click Read seasonality.

  3. 3

    Publish or refresh content 6–8 weeks before each peak month.

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Frequently asked questions

What does the seasonal index mean?

100 is an average month. A month with 140 gets 40% more searches or traffic than average; 70 gets 30% less.

Why publish 6–8 weeks before a peak?

Google needs time to find, index and rank new or updated pages. Publishing early means you are ranking when demand rises.

Can I use weekly or daily data?

Yes. Values are averaged per calendar month, so daily, weekly and monthly exports all work.

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