This workflow is designed for marketing and customer success teams who want to increase the volume of positive public reviews for their product or service. By identifying optimal timing for review requests and using AI to craft personalized messages, teams can significantly improve review collection rates while maintaining an authentic customer voice.
The process begins by detecting positive customer interactions that signal high satisfaction, such as excellent customer service experiences, successful feature implementations, high CSAT scores, or recent renewals. These moments when customers are experiencing peak satisfaction are the ideal times to request a review. Once triggered, AI generates a personalized request email that acknowledges the specific positive experience and includes direct links to relevant review platforms.
Finally, the workflow manages sending the request from the most appropriate team member (typically the person who had the recent positive interaction with the customer) and tracking review submission to send thank-you messages when appropriate. This systematic approach ensures consistent review collection while maintaining personalization, ultimately building a strong repository of social proof to influence prospective customers.
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Use this example as a starting point, not a fixed recipe.
Copy the flow above as a prompt, markdown, skill, or mermaid diagrom. Adjust the steps, tools, agent and human involvement to fit your real workflow. Then test where users actually get value or drop off.
Create a personalized review request email for {customerName} at {companyName} that references their recent positive experience: {positiveInteraction}. The email should:
1. Start with a warm greeting that acknowledges the specific interaction
2. Express appreciation for their business
3. Make a polite request for a review, explaining its importance
4. Include direct links to 1-2 relevant review platforms
5. Keep the tone grateful and respectful, not demanding
Ensure the email is concise (under 200 words) and makes the review process sound quick and easy.