Retargeting Ad Sequence Planner
Advertising & Paid MediaintermediateClaude 3.5 Sonnet or GPT-4o. Both excel at structured strategy frameworks and can generate detailed, actionable sequences. Claude handles complex multi-segment logic slightly better; GPT-4o produces more creative messaging variations. For budget-conscious teams, Claude is more cost-effective for longer, detailed outputs.
When to Use This Prompt
Use this prompt when planning a multi-touch retargeting campaign across multiple audience segments. It's ideal for CMOs and paid media managers who need a structured, data-driven approach to retargeting strategy without starting from scratch. Perfect for Q-planning or campaign optimization.
The Prompt
You are an expert performance marketing strategist specializing in retargeting campaigns. Create a comprehensive retargeting ad sequence strategy for the following scenario:
## Campaign Context
- Product/Service: [DESCRIBE YOUR OFFERING]
- Target Audience: [PRIMARY CUSTOMER PERSONA]
- Average Customer Journey Length: [NUMBER OF DAYS]
- Primary Conversion Goal: [SPECIFIC ACTION: purchase, signup, demo request, etc.]
- Current Conversion Rate: [PERCENTAGE]
- Budget: [MONTHLY BUDGET]
## Audience Segments
Identify and create retargeting sequences for these user segments:
1. Website visitors who didn't convert
2. Shopping cart abandoners (if applicable)
3. Past customers (upsell/cross-sell)
4. Email list subscribers who haven't purchased
5. [ADDITIONAL CUSTOM SEGMENT]
## Your Task
For each segment, design a 5-7 touch retargeting sequence that includes:
**For each touch point, specify:**
- Day/timing of the ad
- Platform (Facebook, Google, LinkedIn, Instagram, etc.)
- Ad format (static image, carousel, video, collection)
- Core message/angle
- Primary CTA
- Estimated frequency cap
**Sequence Strategy Requirements:**
- Vary messaging across touches (urgency, social proof, feature benefits, scarcity)
- Include at least one video or dynamic product ad
- Build in frequency caps to prevent ad fatigue
- Suggest lookalike audience expansion at touch 4-5
- Include a final "win-back" offer for non-converters
- Recommend budget allocation across touches (percentage breakdown)
## Output Format
Provide the sequence as a structured table with columns: Touch #, Day, Platform, Format, Message Angle, CTA, Frequency Cap, Estimated CPM Impact.
Then provide:
- Key performance metrics to track for each segment
- A/B testing recommendations
- Expected lift in conversion rate
- Red flags to monitor
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Tips for Best Results
- 1.Customize the [BRACKETS] with specific numbers and details—vague inputs produce generic sequences. Include actual conversion rates and budget figures for more precise recommendations.
- 2.Request platform-specific variations by adding 'Optimize for [PLATFORM] algorithm priorities' to get platform-native best practices built into each touch.
- 3.Ask for creative copy examples after the sequence: 'Now write 3 headline variations for Touch 4 that emphasize urgency without being pushy.'
- 4.Use the output as a starting template, not final strategy. Request iterations: 'Revise for B2B SaaS with longer sales cycles' or 'Add a loyalty/retention sequence for existing customers.'
Example Output
## Retargeting Sequence Strategy
### Segment 1: Website Visitors (Non-Converters)
| Touch # | Day | Platform | Format | Message Angle | CTA | Frequency Cap | CPM Impact |
|---------|-----|----------|--------|---------------|-----|----------------|------------|
| 1 | Day 1 | Google Display | Static Image | Product reminder + benefit | "Shop Now" | 3x/day | Standard |
| 2 | Day 3 | Facebook | Video | Social proof (customer testimonial) | "See What Others Love" | 2x/day | +15% |
| 3 | Day 5 | Instagram | Carousel | Feature comparison vs. alternatives | "Compare Options" | 2x/day | Standard |
| 4 | Day 7 | Google Search | Text Ad | Limited-time offer (10% off) | "Claim Discount" | 5x/day | +25% |
| 5 | Day 10 | Facebook | Dynamic Product | Personalized product recommendations | "Complete Your Order" | 2x/day | +10% |
| 6 | Day 14 | LinkedIn | Static Image | ROI/business value angle | "Learn More" | 1x/day | +20% |
| 7 | Day 21 | Email + Retargeting | Final offer (15% off, 48-hour window) | Scarcity + urgency | "Last Chance" | 1x/day | Standard |
**Budget Allocation:** Touch 1: 15% | Touch 2: 20% | Touch 3: 15% | Touch 4: 25% | Touch 5: 15% | Touch 6: 5% | Touch 7: 5%
**Key Metrics to Track:**
- Click-through rate by touch (target: 1.2-2.5%)
- Conversion rate by touch (expect 30-50% lift by touch 4)
- Cost per conversion by segment
- View-through conversion rate
- Return on ad spend (target: 3:1 minimum)
**A/B Testing Recommendations:**
- Test offer timing: Day 4 vs. Day 7 for discount introduction
- Test message angles: Benefit-driven vs. scarcity-driven on Touch 3
- Test video length: 15-second vs. 30-second on Touch 2
**Expected Lift:** 35-45% improvement in conversion rate vs. single-touch retargeting. ROAS improvement of 2.2x to 3.5x within 30 days.
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Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.