Actions determine how your automation responds once a review matches your trigger conditions. Choose from template-based responses with AI enhancements or fully AI-generated replies crafted from scratch.
Response quality tip: The secret to great automated responses is matching the response method to the review type. Use templates for consistent scenarios and AI generation for complex, varied feedback.

​
Template-Based Responses

Response Settings Template-based actions use your pre-written response templates as the foundation, with optional AI enhancements to add variety and personalization.

​
Choose Your Template Folder

Select from your organized template folders to match the automation’s purpose:

Positive Feedback Templates

Use for: 4-5 star thank you messages
  • Store 5-25 variations of gratitude messages
  • Include feature announcements or updates
  • Add subtle requests for referrals or social shares

Issue Resolution Templates

Use for: Bug reports and technical issues
  • Acknowledge the problem empathetically
  • Provide troubleshooting steps or workarounds
  • Include contact information for escalation

Feature Request Templates

Use for: User suggestions and enhancement requests
  • Thank users for their input
  • Explain your development process
  • Set realistic expectations for timelines

Billing Support Templates

Use for: Subscription and payment questions
  • Clarify pricing and billing cycles
  • Provide clear paths to account management
  • Address common subscription concerns
Template organization strategy: Create template folders that mirror your automation categories. This makes selecting the right responses intuitive and keeps your workflow organized.

​
AI Enhancement Options

Transform your static templates into dynamic, personalized responses:

​
Standard Reply (No Enhancement)

Use your template exactly as written – perfect for consistent, formal responses:
AI Rewriting Example Let AI rephrase your templates for each response while preserving the core message:
Your template:
Thank you for your 5-star review! We're thrilled you're enjoying the app. 
Your feedback motivates our team to keep improving.
AI variations:
  • “Thanks so much for the fantastic review! It’s amazing to hear you love the app. Feedback like yours inspires us to keep pushing forward.”
  • “We really appreciate your 5-star rating! Knowing you’re having a great experience with the app makes our day. Your support means everything to our team.”
  • “What a wonderful review – thank you! We’re so happy you’re enjoying the app. Your positive feedback gives our team the energy to keep innovating.”

​
AI Translation

AI Translation Example Automatically translate your templates to match each reviewer’s language:
Automatic language detection:
  1. AppReply detects the review’s language
  2. Translates your template to match
  3. Preserves tone, intent, and key information
  4. Posts in the reviewer’s native language
Supported languages: 94+ languages including:
  • European: Spanish, French, German, Italian, Portuguese
  • Asian: Chinese, Japanese, Korean, Hindi, Arabic
  • Emerging: Vietnamese, Thai, Indonesian, Turkish

​
AI-Generated Responses

AI Generated Response Let AI craft completely custom replies from scratch, tailored to each review’s unique content and context:

​
Writing Effective AI Instructions

The quality of AI-generated responses depends heavily on your instructions. Think of them as briefing a new team member:
Follow this framework for best results:
TONE & STYLE:
Be empathetic and professional. Use a friendly but not overly casual tone.

CONTENT REQUIREMENTS:
- Thank the user for their feedback
- Address their specific concern mentioned in the review
- If it's a bug report, acknowledge the issue and mention our team is investigating
- Always end with an invitation to contact support for immediate help

AVOID:
- Generic responses that could apply to any app
- Overly promotional language
- Making promises about specific fix timelines

​
AI Response Examples

​
Choosing the Right Response Method

Match your response method to the scenario for optimal results:
Perfect for:
  • High-volume, similar responses (thank you messages)
  • Scenarios where you want consistency with variety
  • Responses with specific required information
  • When you have proven templates that work well
Success rate: 95% user satisfaction when templates are well-written

​
Response quality & testing

​
Quality assurance checklist

​
Advanced Strategies

The most successful automation strategies combine multiple response methods strategically rather than relying on a single approach. For complex, detailed reviews that mention specific features or technical issues, AI-generated responses provide the flexibility to address each unique situation with personalized replies. Meanwhile, common scenarios like thank-you messages or standard feature requests work perfectly with template-based responses enhanced by AI rewriting to maintain variety. International users benefit most from template-based responses combined with AI translation, ensuring your core messaging remains consistent while being culturally and linguistically appropriate. Consider adjusting your response method based on review sentiment and length as well. Short, positive reviews (under 50 characters) work well with brief template responses, while longer, detailed feedback deserves the personalized attention that AI-generated responses provide. This tiered approach ensures you’re matching the effort level to the user’s investment in providing feedback.

​
A/B Testing for Optimization

Systematic testing is crucial for optimizing your automation performance over time. Create two similar automations targeting the same review types but using different response methods – for example, one using template-based responses with AI rewriting and another using fully AI-generated responses. Run both for several weeks while tracking key metrics like user engagement, follow-up questions, and response sentiment analysis. Pay particular attention to user replies to your automated responses. If users frequently ask follow-up questions or seem confused, your response method may need adjustment. Conversely, positive user reactions, thank-you replies, or rating improvements indicate successful automation strategies. Test different AI instruction styles within your generated responses as well – some users prefer more formal, professional tones while others respond better to casual, friendly approaches.

​
Multi-Language Market Strategy

For global apps, develop a sophisticated language-based automation hierarchy. Start with detailed, culturally-aware automations for your primary markets using native-language templates, then create broader international automations using English templates with AI translation for secondary markets. This ensures your most important user bases receive optimized responses while still providing quality support to all users. Consider cultural context beyond just language translation. German users often expect more detailed, structured responses about data privacy and GDPR compliance, while Japanese users typically prefer more formal, respectful language structures. Create market-specific automation rules that not only translate but also adapt tone and content to cultural expectations, significantly improving user satisfaction in international markets.

​
Troubleshooting common issues

Solutions:
  • Add more specific instructions for AI responses
  • Include context about your app and user base
  • Use AI rewriting instead of standard templates
  • Reference specific review content in instructions
Master these response methods, and your automations will create replies that feel personal, helpful, and authentically from your team – even when responding to hundreds of reviews automatically.

Templates

Learn to create response templates that power your automations

Triggers

Master the conditions that target exactly the right reviews