E-Commerce Ads Playbook

Selling products online has unique advertising dynamics. This playbook covers the complete e-commerce advertising strategy.

Core Philosophy

E-commerce is a full-funnel game. You need awareness (prospecting), consideration (engagement), and conversion (retargeting) working together. Over-indexing on any single stage creates inefficiency.

The Product Feed is Your Foundation. Shopping ads, catalog ads, and Performance Max all rely on your product feed. A bad feed means bad ads, regardless of how clever your strategy is.

ROAS is Not Profit. A 4x ROAS sounds great until you factor in COGS, shipping, returns, and overhead. Think in terms of contribution margin, not revenue.

Customer Acquisition vs. Customer Value: Acquiring a customer who buys once at breakeven might be worth it if they have high LTV. Acquiring a discount-seeker at breakeven is just burning money.

Channel Synergy Matters:

• Google captures demand (high intent, searching)
• Meta creates demand (low intent, discovers)
• TikTok builds awareness and trends
• Email/SMS converts at near-zero marginal cost

Required Context

Must Have

1. Business Fundamentals

• Product catalog size (SKU count)
• Average order value (AOV)
• Target ROAS or CAC
• Current monthly revenue
• Monthly ad budget

2. Product Feed Status

• Platform: Shopify, WooCommerce, BigCommerce, etc.
• Feed quality: titles, descriptions, images, GTINs
• Google Merchant Center approval status
• Meta Catalog status

3. Current Advertising

• Channels currently running
• Campaign types active
• Current performance (ROAS, CPA, spend)
• Historical best performers

Strongly Recommended

4. Customer Data

• Customer LTV or repeat purchase rate
• Purchase frequency
• Best-selling products
• Seasonal patterns

5. Business Model

• Direct-to-consumer only or wholesale too
• Margin structure
• Shipping economics
• Return rate

Nice to Have

• Competitor advertising analysis
• Customer acquisition source breakdown
• Brand search volume trends
• Email/SMS performance data

Full-Funnel Framework

The E-Commerce Advertising Stack

┌─────────────────────────────────────────────────────────────────┐
│  AWARENESS (Top of Funnel)                                      │
│  Goal: Build brand, reach new audiences                         │
│  ├── Meta: Broad prospecting, Lookalikes                        │
│  ├── TikTok: Viral content, trends                              │
│  ├── YouTube: Brand videos, product discovery                   │
│  └── Display: Awareness campaigns                               │
│  Budget: 20-30% of total                                        │
├─────────────────────────────────────────────────────────────────┤
│  CONSIDERATION (Middle of Funnel)                               │
│  Goal: Engage interested users, build intent                    │
│  ├── Meta: Engaged audience retargeting                         │
│  ├── Google: Non-brand search, Shopping                         │
│  ├── YouTube: Product demos, reviews                            │
│  └── Email/SMS: Browse abandonment                              │
│  Budget: 30-40% of total                                        │
├─────────────────────────────────────────────────────────────────┤
│  CONVERSION (Bottom of Funnel)                                  │
│  Goal: Convert high-intent users                                │
│  ├── Google: Brand search, PMAX, Shopping                       │
│  ├── Meta: Cart abandoners, purchaser lookalikes                │
│  ├── Email/SMS: Cart abandonment, win-back                      │
│  └── Retargeting: Dynamic product ads                           │
│  Budget: 30-40% of total                                        │
└─────────────────────────────────────────────────────────────────┘

Platform-Specific Strategies

Google Ads for E-Commerce

Campaign Type Hierarchy:

Performance Max Best Practices:

Shopping Feed Optimization Priorities:

Shopping Campaign Structure:

📁 Campaign: Shopping - High Priority (All Products)
  └── Ad Group: All Products
       └── Product Group: All Products

📁 Campaign: Shopping - Medium Priority (Category Breakout)
  ├── Ad Group: Category A
  │    └── Product Group: Category A products
  ├── Ad Group: Category B
  │    └── Product Group: Category B products
  └── Ad Group: Category C
       └── Product Group: Category C products

📁 Campaign: Shopping - Low Priority (SKU Level)
  └── Ad Group: Top Performers
       └── Product Group: Individual SKUs

Meta Ads for E-Commerce

Campaign Structure:

Advantage+ Sales Campaigns (formerly Advantage+ Shopping):

Catalog Ads Best Practices:

Retargeting Windows:

TikTok for E-Commerce

When to Use TikTok:

TikTok E-Commerce Strategy:

TikTok Shop Integration:

If available in your market:

• Link products to videos
• Enable live shopping
• Use affiliate creators
• Run Shop Ads campaigns

Campaign Builds by Budget Level

Starter: $5,000-$15,000/month

Focus: Profitable acquisition, limited testing

Strategy:

• Let PMAX handle most prospecting
• Meta for catalog retargeting
• Build email list aggressively
• No TikTok, no YouTube yet

Growth: $15,000-$50,000/month

Focus: Scaling winners, channel diversification

Strategy:

• Segment PMAX by category
• Test manual Shopping for top products
• Meta manual campaigns for creative testing
• TikTok for younger demos / viral potential

Scale: $50,000-$200,000/month

Focus: Full-funnel, multi-channel optimization

Strategy:

• Incrementality testing to validate channels
• MMM or attribution modeling
• Creative testing program (weekly)
• International expansion

Enterprise: $200,000+/month

Focus: Marginal efficiency, incrementality

Strategy:

• Dedicated measurement team
• Marketing mix modeling
• Brand lift studies
• Retail media (Amazon, etc.)
• Influencer partnerships

Key Metrics & Benchmarks

E-Commerce KPIs

ROAS vs. Profit Reality Check

Revenue: $100
ROAS: 4x ($25 ad spend)
COGS: $40 (40%)
Shipping: $8
Returns: $5 (5% rate)
Payment processing: $3 (3%)
Ad spend: $25

Contribution margin: $100 - $40 - $8 - $5 - $3 - $25 = $19 (19%)

True unit economics matter more than ROAS.

Channel Benchmarks (E-Commerce)

Output Format

E-Commerce Strategy Document

═══════════════════════════════════════════════════════════════════
E-COMMERCE ADVERTISING STRATEGY
═══════════════════════════════════════════════════════════════════
Brand: [Brand Name]
Monthly Budget: $[Budget]
AOV: $[AOV]
Target ROAS: [X]x
Created: [Date]
═══════════════════════════════════════════════════════════════════

📊 STRATEGIC OVERVIEW
────────────────────────────────────────────────────────────────────

CURRENT STATE:
- Monthly ad spend: $[X]
- Blended ROAS: [X]x
- Channels: [List]
- Key challenges: [List]

TARGET STATE:
- Monthly ad spend: $[X]
- Target ROAS: [X]x
- Channel mix: [Breakdown]
- Key objectives: [List]

═══════════════════════════════════════════════════════════════════

💰 BUDGET ALLOCATION
────────────────────────────────────────────────────────────────────

| Channel | Monthly Budget | % of Total | Primary Objective |
|---------|----------------|------------|-------------------|
| Google Ads | $[X] | [X]% | [Objective] |
| Meta Ads | $[X] | [X]% | [Objective] |
| TikTok | $[X] | [X]% | [Objective] |
| Other | $[X] | [X]% | [Objective] |
| **Total** | **$[X]** | **100%** | |

FUNNEL ALLOCATION:

| Stage | Budget | Channels |
|-------|--------|----------|
| Awareness (TOF) | $[X] ([X]%) | [Channels] |
| Consideration (MOF) | $[X] ([X]%) | [Channels] |
| Conversion (BOF) | $[X] ([X]%) | [Channels] |

═══════════════════════════════════════════════════════════════════

🎯 GOOGLE ADS STRATEGY
────────────────────────────────────────────────────────────────────

CAMPAIGN STRUCTURE:

| Campaign | Budget | Bid Strategy | Target |
|----------|--------|--------------|--------|
| Brand Search | $[X]/day | Target ROAS | [X]x |
| Performance Max | $[X]/day | Target ROAS | [X]x |
| Standard Shopping | $[X]/day | Manual / Target ROAS | [X]x |
| Non-Brand Search | $[X]/day | Target CPA | $[X] |

PMAX SETUP:
- Asset groups: [X] (by [category/product type])
- Audience signals: [List]
- Brand exclusions: [Yes/No] - [Details]
- Final URL expansion: [On/Off]

SHOPPING PRIORITIES:
1. [Top priority product category]
2. [Second priority]
3. [Third priority]

FEED OPTIMIZATION NEEDS:
- [Feed issue #1]
- [Feed issue #2]

═══════════════════════════════════════════════════════════════════

📱 META ADS STRATEGY
────────────────────────────────────────────────────────────────────

CAMPAIGN STRUCTURE:

| Campaign | Budget | Audience | Objective |
|----------|--------|----------|-----------|
| Advantage+ Sales - Prospecting | $[X]/day | Broad + signals | Sales |
| Catalog - Retargeting | $[X]/day | Website visitors | Sales |
| Manual - Testing | $[X]/day | [Audience] | Sales |

AUDIENCE STRATEGY:

| Stage | Audiences | Budget Split |
|-------|-----------|--------------|
| Prospecting | Broad, Lookalikes | [X]% |
| Retargeting | ATC 7d, VC 14d | [X]% |
| Retention | Purchasers 30-90d | [X]% |

CREATIVE STRATEGY:
- Formats: [UGC, Catalog, Static, Video]
- Test cadence: [X] new creatives/week
- Winning patterns: [List]

═══════════════════════════════════════════════════════════════════

📈 GROWTH ROADMAP
────────────────────────────────────────────────────────────────────

PHASE 1: Foundation (Weeks 1-4)
- [ ] [Action item]
- [ ] [Action item]
- [ ] [Action item]

PHASE 2: Optimization (Weeks 5-8)
- [ ] [Action item]
- [ ] [Action item]
- [ ] [Action item]

PHASE 3: Scale (Weeks 9-12)
- [ ] [Action item]
- [ ] [Action item]
- [ ] [Action item]

═══════════════════════════════════════════════════════════════════

📊 SUCCESS METRICS
────────────────────────────────────────────────────────────────────

| Metric | Current | Target | Timeline |
|--------|---------|--------|----------|
| Blended ROAS | [X]x | [X]x | [Weeks] |
| New Customer CPA | $[X] | $[X] | [Weeks] |
| Monthly Revenue | $[X] | $[X] | [Weeks] |
| CVR | [X]% | [X]% | [Weeks] |

═══════════════════════════════════════════════════════════════════

Common Scenarios

Scenario 1: "Just starting with e-commerce ads"

Recommendation:

1. Fix your product feed first (titles, images, GTINs)
2. Start with Google PMAX + Brand Search
3. Add Meta retargeting for cart abandoners
4. Build email list from day one
5. Don't spread budget across too many channels

Scenario 2: "Good ROAS but can't scale"

Diagnosis: Likely at diminishing returns on current channels Solutions:

1. Add new channel (TikTok, YouTube)
2. Test new audiences on existing channels
3. Expand geographically
4. Launch new products
5. Improve AOV to afford higher CPAs

Scenario 3: "Meta performance tanked after iOS 14"

Adaptation:

1. Implement Conversions API (CAPI)
2. Use Advantage+ sales campaigns
3. Broaden targeting (let algorithm optimize)
4. First-party data: email lists, CRM audiences
5. Longer attribution windows
6. Incrementality testing to validate true value

Scenario 4: "Shopping campaigns not spending"

Troubleshooting:

1. Check Merchant Center for disapprovals
2. Review feed quality (missing GTINs, bad images)
3. Check bid/budget competitiveness
4. Review product eligibility
5. Check negative keywords aren't blocking

Scenario 5: "High ROAS but low volume"

Diagnosis: Over-optimized for efficiency, missing growth Solutions:

1. Increase budgets on winners
2. Loosen ROAS targets temporarily
3. Add prospecting campaigns
4. Test broader audiences
5. Accept lower efficiency for growth

Limitations

I can provide:

• Full-funnel strategy framework
• Channel allocation recommendations
• Campaign structure guidance
• Benchmark data and targets
• Optimization priorities

I cannot provide:

• Product feed technical implementation
• Platform-specific pixel/API setup
• Actual campaign builds in platforms
• Creative production
• Real-time competitive analysis

For best results, also involve:

• Developer for tracking implementation
• Creative team for assets
• Platform specialists for complex setups

Quality Checklist

Before delivering strategy:

• Budget allocation matches business stage
• Google and Meta strategies are complementary, not duplicative
• Feed optimization addressed
• Retargeting windows properly sequenced
• New customer vs. existing customer split considered
• ROAS targets realistic for margins
• Measurement plan included
• Phased roadmap with clear priorities
• Success metrics defined