Trading cards are seasonal, and the data shows it
Across 39 toy and card subjects, interest clusters in a few months of the year. The pattern is consistent enough to plan around.
Published 2026-10-30
Toy and card interest is not flat across the year. When we sum monthly pageviews across every subject in the index, a seasonal shape appears: 07 (6,922,341), 08 (5,522,203), 09 (4,515,488) are the strongest months in the series.
That matches what retailers describe: Q4 gift buying, new set releases, and the convention calendar all land in the same window.
The Pokémon curve
The Pokémon Trading Card Game article has held between roughly 25,000 and 47,000 monthly reads for two years, with a peak in 2024-11. That stability is unusual in this index. It is what a mature hobby looks like next to a fad: a smaller amplitude and a much longer tail.
Why seasonality matters more than the trend
A shop that stocks a rising subject in the wrong month can lose money on a product that is genuinely popular. A shop that stocks a stable subject in the right month makes a reliable margin. The calendar is a bigger lever than the trend list.
What we will publish next
A monthly seasonal index: the same subjects, normalized by their own 12-month average, so the seasonal shape is visible without the trend noise. It will live at /fad-index/ alongside the main table.
Turn the seasonal signal into a buying calendar
Before your next order, build a one-page seasonal plan for each subject you stock. Start with the monthly pageview table and divide each month by that subject’s annual average, so every subject sits on the same scale. Mark the months that run above average and the months that fall below. Next, annotate those marks with the events your shop already knows: set releases, convention weekends, gift-buying periods, and local tournament dates. Use that annotated calendar to split orders into a peak build and a trough hold: commit deeper to subjects whose high months match your sales floor, and keep stable subjects on a steadier replenishment rhythm. For each subject, write a reorder trigger and a review date, then check sell-through after the peak passes. If a subject is rising but its peak month does not match your customer base, wait for the seasonal window instead of chasing the trend. Review the page monthly and move one subject at a time.
A monthly checklist you can run before reordering
Use this checklist at your next buying meeting, working from the seasonal index rather than memory. For each stocked subject, pull its monthly pageview line and divide by its own annual average. Flag every month above average and every month below. Add the shop events that explain those flags: set releases, convention weekends, gift periods, and local tournament dates. Sort subjects into peak-build and trough-hold groups. For peak-build subjects, set a reorder trigger tied to sell-through and a review date after the peak. For trough-hold subjects, set a steadier replenishment rhythm. Check whether a rising subject’s high months match your customer base; if they do not, wait for the seasonal window. After the peak, compare sell-through with the plan and note what changed. Review the page monthly, adjust the calendar, and move one subject at a time so you can see which change worked. Keep the checklist with your order sheet so the seasonal signal becomes a routine buying step.