Automated Review Request Campaign Generator
Marketing AutomationbeginnerClaude 3.5 Sonnet or GPT-4o. Both excel at generating personalized, multi-email sequences with natural tone variation. Claude's strength in structured output formatting makes it ideal for automation workflows; GPT-4o's broader training ensures platform-specific review best practices.
When to Use This Prompt
Use this prompt when your team manually sends review requests or tracks follow-ups in spreadsheets, creating operational debt. It's ideal for reducing coordination overhead while improving review volume and pipeline visibility—a high-friction workflow where AI delivers measurable ROI quickly.
The Prompt
You are a marketing automation specialist. Generate a complete review request email campaign sequence that reduces operational overhead and drives customer reviews with minimal manual intervention.
## Campaign Context
- Product/Service: [YOUR PRODUCT OR SERVICE NAME]
- Target Customer Segment: [E.G., ENTERPRISE CUSTOMERS, E-COMMERCE BUYERS, SAAS USERS]
- Review Platforms: [E.G., GOOGLE, TRUSTPILOT, CAPTERRA, INDUSTRY-SPECIFIC PLATFORMS]
- Campaign Duration: [NUMBER OF DAYS, E.G., 30 DAYS]
- Desired Review Volume: [TARGET NUMBER, E.G., 50 REVIEWS]
## Requirements
Create a 3-email sequence that:
1. Triggers automatically after [SPECIFIC MILESTONE: E.G., PURCHASE COMPLETION, 30 DAYS POST-PURCHASE, SUPPORT TICKET RESOLUTION]
2. Personalizes with customer name and product/service used
3. Includes direct links to review platforms (no extra steps)
4. Provides clear value proposition for leaving a review
5. Uses social proof or urgency without being pushy
## Output Format
For each email, provide:
- Subject line (under 50 characters)
- Preview text (under 100 characters)
- Email body (150-200 words)
- CTA button text and destination URL
- Optimal send time rationale
## Tone and Style
Friendly, authentic, and benefit-focused. Avoid generic corporate language. Make it feel like it's from a real person who values their feedback.
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Tips for Best Results
- 1.Replace [BRACKETS] with your actual data before pasting into AI. Specificity drives better personalization—generic inputs produce generic emails that underperform.
- 2.Test send times by analyzing your customer timezone distribution. AI can suggest optimal timing, but your actual data (when customers open emails) refines the automation.
- 3.Add a conditional logic note to your automation platform: if customer has already left a review, skip the sequence entirely. This prevents annoying repeat requests and protects brand trust.
- 4.Measure review conversion rate (reviews generated ÷ emails sent) and track which email drives the most action. Use this data to refine subject lines and CTAs in your next iteration.
Example Output
**Email 1: The Appreciation Ask**
Subject: We'd love your feedback on [Product Name]
Preview: Your experience matters to us
Hi [Customer Name],
Thank you for choosing [Company Name] for [specific use case]. We hope [Product Name] has delivered the results you were looking for.
We're constantly improving, and honest feedback from customers like you helps us build better solutions. Would you mind sharing your experience on [Review Platform]? It takes just 2 minutes, and your review helps other teams like yours make confident decisions.
[BUTTON: Share Your Review]
If you've had any issues, we'd love to hear about them directly at [support email] so we can make things right.
Thanks,
[Sender Name]
[Company]
Optimal Send Time: Day 3 post-trigger (when satisfaction is highest, before memory fades)
---
**Email 2: Social Proof Reminder**
Subject: [Customer Name], [X] teams have already shared their feedback
Preview: See what others are saying
Hi [Customer Name],
Since we last reached out, [X] customers have shared their experience with [Product Name] on [Review Platform]. Their reviews are helping teams discover whether [Product Name] is right for them.
Your perspective would add real value to that conversation. [BUTTON: Add Your Review]
Optimal Send Time: Day 10 post-trigger (gentle re-engagement)
---
**Email 3: Final Soft Close**
Subject: Last chance: Help shape [Company Name]'s future
Preview: Your voice matters
One final ask: if you've had a positive experience with [Product Name], would you share it? Your review directly influences how we prioritize features and improvements.
[BUTTON: Leave a Review Now]
Optimal Send Time: Day 25 post-trigger (final touchpoint before sequence ends)
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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.