Seasonal Budget Planner

Phase 1: Pre-Season (6-8 weeks before peak)
  Goal: Build audiences, establish baselines, create content
  Budget: 70-80% of normal monthly budget
  Actions:
  - Build remarketing audiences (site visitors, video viewers)
  - Launch awareness campaigns with engaging content
  - A/B test creatives to find winners for peak
  - Set up conversion tracking and verify data
  - Create audience segments: cold, warm, hot

Phase 2: Ramp-Up (2-4 weeks before peak)
  Goal: Increase visibility, warm up audiences
  Budget: 100-120% of normal monthly budget
  Actions:
  - Scale winning creatives from Phase 1
  - Increase remarketing pool with broader targeting
  - Start teaser campaigns ("Coming soon: Black Friday deals")
  - Bid up on high-intent keywords
  - Pre-load promotion extensions and ad copy

Phase 3: Peak (event period, 3-10 days)
  Goal: Maximize conversions at profitable ROAS
  Budget: 200-500% of normal daily budget
  Actions:
  - Activate all prepared campaigns simultaneously
  - Set aggressive bids (CPCs increase 50-150% during peak)
  - Focus on retargeting warm audiences (highest CVR)
  - Use countdown timers and urgency messaging
  - Monitor hourly and adjust bids in real-time
  - Deploy platform seasonal adjustments (see below)

Phase 4: Post-Season (1-4 weeks after peak)
  Goal: Capture late converters, clearance, and extend value
  Budget: 80-100% of normal monthly budget
  Actions:
  - Retarget Black Friday/Cyber Monday visitors who didn't convert
  - Promote "extended sale" or clearance items
  - Gift card and last-minute shopper campaigns
  - Shift messaging: "Still time to save" → "New year, new you"
  - Reduce bids gradually as competition subsides

CPM multipliers by period (vs January baseline):

| Period | CPM Multiplier | Notes |
|--------|----------------|-------|
| January | 1.0x (baseline) | Post-holiday lull, cheapest month |
| February | 1.1x | Valentine's Day bump |
| March | 1.1-1.2x | End of Q1 budget flush |
| April | 1.0-1.1x | Post-Q1 reset |
| May | 1.1x | Mother's Day, spring sales |
| June | 1.0-1.2x | End of Q2, summer start |
| July | 0.9-1.1x | Amazon Prime Day spike (1 week) |
| August | 1.1-1.2x | Back-to-school |
| September | 1.2-1.3x | Fall campaigns launch |
| October | 1.3-1.5x | Halloween, pre-holiday ramp |
| November | 1.5-2.5x | Black Friday/Cyber Monday peak |
| December | 1.4-2.0x | Holiday shopping, Dec 1-20 peak |

Budget calculation:
  Normal monthly budget: $10,000
  November budget needed for same reach: $10,000 × 2.0 = $20,000
  Or accept 50% fewer impressions at $10,000

Strategy:
  - Increase budgets OR accept reduced reach during peaks
  - Shift non-urgent spend to January/April (cheapest months)
  - Front-load Black Friday campaigns to early November (lower CPMs)

Google Ads → Tools → Bid Strategy → Advanced Controls → Seasonality Adjustments

Purpose: Tell Smart Bidding to expect a temporary conversion rate change

When to use:
  - Flash sales (1-3 days)
  - Black Friday / Cyber Monday
  - Product launches
  - Any event causing unusual conversion rate changes

How to set:
  1. Name: "Black Friday 2026 Sale"
  2. Start: 2026-11-27 00:00
  3. End: 2026-11-30 23:59
  4. Scope: All campaigns OR specific campaigns
  5. Adjustment: Expected CVR increase (e.g., +50%)
     - Conservative: +30% for general holiday
     - Moderate: +50% for major sale event
     - Aggressive: +100% for flash sale with deep discount

After the event:
  - Smart Bidding automatically reverts to normal
  - No manual cleanup needed
  - Review actual CVR vs adjustment to improve future planning

Best practices:
  - Only use for events lasting 1-7 days
  - Don't use for gradual seasonal trends (Smart Bidding learns these)
  - Set adjustment 24 hours before event starts
  - Use historical data to calibrate CVR change estimate

Scenario: $50,000 November budget for e-commerce brand

Platform allocation for Black Friday / Cyber Monday:

| Platform | Budget | Role | Why |
|----------|--------|------|-----|
| Google Search | $17,500 (35%) | Capture high-intent queries | People search for deals |
| Google Shopping | $10,000 (20%) | Product-level visibility | Product comparisons peak |
| Meta (FB/IG) | $12,500 (25%) | Awareness + retargeting | Visual deal promotion |
| TikTok | $2,500 (5%) | Young demo, viral creative | Trend-based discovery |
| Reddit | $2,500 (5%) | Niche communities | Deal-hunting subreddits |
| LinkedIn | $0 (0%) | Pause during B2C peak | B2B decision-makers on vacation |
| Retargeting (all) | $5,000 (10%) | Convert warm audiences | Highest ROAS during sale |

Timeline:
  Nov 1-20: 30% of budget → awareness, audience building
  Nov 21-26: 15% of budget → ramp-up, teaser campaigns
  Nov 27-30 (BFCM): 40% of budget → peak conversion push
  Dec 1-7: 15% of budget → extended sale, late converters

User: "Plan my Black Friday/Cyber Monday ad budget. I normally spend $30,000/month."

Budget plan:
  Normal daily budget: $1,000/day
  November total budget: $45,000 (1.5x normal for seasonal demand)

  Week 1-2 (Nov 1-14): Awareness Phase
    Daily: $800/day = $11,200
    Focus: Audience building, teaser ads
    Platforms: Meta (50%), Google Display (30%), TikTok (20%)

  Week 3 (Nov 15-21): Ramp-Up Phase
    Daily: $1,200/day = $8,400
    Focus: "Black Friday preview" messaging, email capture
    Platforms: Google Search (40%), Meta (40%), Shopping (20%)

  Week 4 (Nov 22-26): Pre-Peak
    Daily: $1,500/day = $7,500
    Focus: "Deals drop Friday" countdowns
    Platforms: Google Search (35%), Meta (35%), Shopping (20%), TikTok (10%)

  BFCM (Nov 27-30): Peak — 4 days
    Daily: $3,000/day = $12,000
    Focus: Maximum conversion push
    Platforms: Google Search (30%), Shopping (25%), Meta retargeting (30%), TikTok (10%), Reddit (5%)
    Google: Set Seasonality Adjustment +60% CVR

  Post-Peak (Dec 1-7): Extended Sale
    Daily: $850/day = $5,950
    Focus: Retarget BFCM visitors, "extended sale" messaging
    Platforms: Google remarketing (40%), Meta retargeting (40%), Email (20%)

  Total November: $45,050
  Expected ROAS improvement vs flat budget: +25-35%

User: "When should we scale and reduce our B2B ad spend throughout the year?"

Recommended monthly budget multipliers:
  Jan: 1.2x — New year budgets, decision-makers back
  Feb: 1.1x — Q1 initiatives underway
  Mar: 1.2x — Q1 deadline, "use it or lose it" messaging
  Apr: 1.0x — Post-Q1 reset, normal operations
  May: 0.9x — Pre-summer slowdown begins
  Jun: 0.8x — Conference season, reduced digital engagement
  Jul: 0.7x — Summer vacation, lowest B2B engagement
  Aug: 0.8x — Gradual return, back-to-work ramp
  Sep: 1.2x — Q4 planning begins, product launches
  Oct: 1.2x — Budget finalization, enterprise push
  Nov: 1.0x — Thanksgiving week is dead, but first 3 weeks are strong
  Dec: 0.6x — Holiday freeze, minimal activity after Dec 15

Annual savings: shift 15-20% of budget from Jul/Aug/Dec to Jan/Mar/Sep/Oct
Expected efficiency gain: +10-15% in blended CPA

User: "Our CPMs jumped 80% last November. How do we handle it this year?"

Strategies:
  1. Front-load November spend:
     Nov 1-15: 40% of monthly budget (CPMs are 1.3x, not 2.0x yet)
     Nov 16-26: 25% (CPMs rising, shift to retargeting)
     Nov 27-30: 25% (peak CPMs, but also peak CVR)
     Dec 1-7: 10% (CPMs dropping, capture late converters)

  2. Shift to lower-CPM formats:
     - Google Search (no CPM, pay per click) → increase Search budget 50%
     - Email marketing → $0 CPM, deploy to full subscriber list
     - Reddit → 30-50% cheaper CPMs than Meta during BFCM

  3. Audience quality over quantity:
     - Narrow to retargeting audiences (2-5x higher CVR)
     - Suppress non-converters (>3 visits, no purchase → exclude)
     - Focus on lookalikes of purchasers (not just visitors)

  4. Creative optimization:
     - Use top-performing creatives only (no testing during peak)
     - Add urgency elements (countdown, limited stock)
     - Larger discount = higher CVR, offsets higher CPM

  Expected result: Same ROAS as last year with 80% CPM inflation,
  by improving audience targeting and shifting to cost-efficient channels.