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How seasonality really affects paid search for ecommerce

Adil Jain|Strategy|2026-04-25

Seasonality in ecommerce paid search is one of those topics where the advice is usually either too simplistic or too generic. Yes, increase budgets before peak periods. Yes, reduce bids during slow months. But the details of how you do this - and what you should and should not change - matter significantly.

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Most ecommerce businesses know their seasonal shape intuitively. Christmas is big. January is slow. Summer may peak or trough depending on category. The question is not whether to adjust paid search activity for seasonality - of course you should. The question is how to do it in a way that does not disrupt smart bidding learning, waste budget during ramp-up, or leave money on the table by acting too late.

Start increasing budgets before demand peaks

Smart bidding needs time to adjust to increased budget levels. A campaign that suddenly receives three times its usual daily budget in the first week of peak season will go through a learning period at exactly the time you need it performing optimally. The better approach is incremental budget increases starting two to three weeks before your peak period. This gives the algorithm time to calibrate to the new scale before demand is at its highest. For Black Friday and Christmas, this means budget increases should start in late October and early November respectively.

Do not change bidding strategy during peak

Switching from Target ROAS to Maximise Conversion Value, or adjusting Target ROAS significantly, right before or during peak season triggers a new learning period. Your campaign will be re-optimising at the worst possible time. Make bidding strategy changes either weeks before peak or in the quieter post-peak period. During the peak itself, make only minor adjustments - small ROAS target changes of 10 to 15 percent at most, not structural changes to the bidding approach.

Seasonality adjustments in Google Ads

Google provides a Seasonality Adjustment feature specifically for this situation. You tell the algorithm that conversion rates will be X percent higher during a specific date range, and it adjusts its bid calculations accordingly rather than waiting to observe the change. For short peaks of one to five days - a flash sale, a bank holiday promotion - this is genuinely useful. For longer seasonal periods, adjusting your ROAS target directly is a better approach.

Post-peak wind-down

The post-peak period is where many accounts leave money on the table by cutting back too aggressively too quickly. Demand does not fall off a cliff the day after Christmas. There is usually a tail of returns-related searches, gift card redemptions, and post-holiday shopping that represents real commercial opportunity. Monitor conversion rates daily in the post-peak period and only reduce budgets proportionally as data shows demand declining. Blanket cuts on January 2nd typically sacrifice profitable traffic.

Learning from each season

Document your seasonal adjustments - what you changed, when, and what the performance effect was. Build a seasonal calendar that guides the next year's planning. The businesses that manage paid search seasonality best are the ones with institutional memory about what worked and what did not, not the ones reacting fresh each year.

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