Growth
Seasonal content strategy: capturing annual spikes
Search interest for "new year fitness resolutions" spikes every December and January. "Back to school productivity" spikes every August. "Holiday gift guides" spike every October and November. Creators who plan ahead for these recurring spikes capture meaningfully more of the available attention than creators who post about the topic only once it's already trending.
Common spike windows
| Niche | Spike window | Publish by |
|---|---|---|
| Fitness | Late Dec – Jan | Mid-December |
| Education/productivity | Late July – Aug | Early July |
| Gift guides | Sept – Nov | August |
| Tax/finance | Jan – Apr | December |
A simple approach
1. Map roughly 6 months ahead which topics spike when, specific to your niche.
2. Publish 4-6 weeks before the peak, so it has time to gain traction before search interest actually peaks.
3. Reuse and update last year's version rather than starting from scratch each time.
4. Mix seasonal with evergreen content — a purely seasonal strategy leaves real gaps in the off-season.
Why timing matters as much as the content
Posting a "January fitness guide" on January 2nd usually misses the window — interest starts building in mid-December. Posting it November 1st is too early. Mid-December tends to be closer to the real sweet spot.
The most reliable way to find your own seasonal patterns is checking which of your own past posts got 2-3x normal engagement at specific times of year — mayy.ai can surface that directly from your history, so your seasonal calendar is built from your real data, not a generic industry guess.
See this for your own accounts
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