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The Best Seasonal Campaign Structure for November–December

The Best Seasonal Campaign Structure for November–December

The November–December period remains the highest-value advertising season of the year. Global shoppers spend nearly 30% of their annual online budgets during these two months, and ad competition increases accordingly. With costs rising sharply around key shopping days, having a structured, predictable campaign system is essential to avoid overspending and missing revenue opportunities.

Pie chart showing that mobile devices accounted for 54.5% of U.S. online holiday spending in 2024, with smaller shares for desktop and tablet

U.S. online holiday sales grew from ~US$222 billion in 2023 to US$241.4 billion in 2024 (+8.7 %)

Below is a proven campaign structure designed specifically for the holiday surge, ensuring stable delivery, optimized audiences, and clear budget sequencing.

1. Pre-Peak Warm-Up (Early November)

The goal of early November is simple: warm your audiences before competition spikes.

What to run

  • Awareness campaigns focused on reach or video views

  • Low-cost engagement (landing page views, post engagement)

  • Audience-building campaigns that expand retargeting pools

Why it works

  • CPMs in early November can be up to 25–40% lower than the days right before Black Friday.

  • Engagement-based remarketing pools often grow 3–5x faster during this period due to higher shopping intent.

Recommended segmentation

  • Cold audiences (broad, lookalikes)

  • Warm audiences (website visitors, engagers)

This warm-up stage becomes the foundation of your peak-period conversions.

2. Black Friday–Cyber Monday (BF/CM) Push

This is the most competitive and profitable stretch of the season.

What to run

  • Conversion campaigns optimized for purchases

  • High-intent retargeting with short-time windows (1–7 days)

  • Offer-based creative variations to match urgency

Key considerations

  • BF/CM CPMs can increase up to 2–3x.

  • Conversion rates rise sharply—many brands see 2x–4x higher daily purchase volume.

  • Retargeting typically delivers the highest ROAS of the entire season.

Funnel setup

  • Cold: Keep only top-performing cold campaigns active to maintain efficiency.

  • Warm: Use all fresh November traffic with tailored messaging.

  • Hot (1–3 days): Prioritize urgency and scarcity.

3. Early December Cooldown + Retargeting Recovery

After Cyber Week, ad costs usually dip for 7–10 days.

What to run

  • Mid-funnel retargeting for users from the November warm-up

  • Restocked or evergreen product creatives

  • Add-to-cart retargeting with incentives

Why it works

  • Conversion rates stabilize but remain 10–20% higher than non-holiday months.

  • Ad competition decreases, lowering cost per purchase.

This period helps recover missed buyers who were overwhelmed by BF/CM noise.

4. Last-Minute Shopping Window (Mid–Late December)

This window captures shoppers who purchase later or need last-minute gifts.

What to run

  • Urgency-based messaging (shipping deadlines, bundles)

  • Gift-focused creative

  • Retargeting of all December website visitors

Performance notes

  • Many brands see a 20–35% spike in daily conversions** during shipping deadline week.

  • CPMs rise again as advertisers fight for remaining high-intent buyers.

5. Post-Holiday Remarketing (Late December)

Once gift-opening ends, interest in self-purchases rises.

What to run

  • Upsell and cross-sell campaigns

  • Post-purchase flows

  • Interest rebound retargeting for users who browsed but did not buy earlier

Why this matters

  • Retargeting audiences built in November–December remain extremely warm.

  • Many users shift into “self-buying mode,” often increasing purchase likelihood by 15–25%.

Recommended Campaign Structure Summary

  • Early November: Warm-up and audience building

  • BF/CM: Peak conversion push

  • Early December: Cooldown retargeting

  • Mid–Late December: Last-minute buyers

  • Late December: Post-holiday remarketing

This structure helps maintain stability while adapting to predictable cost and behavior shifts.

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