Push Notification System with Segmentation and Analytics
Complete push notification implementation with Firebase Cloud Messaging, user segmentation, and metrics.
Implement a push notification system that increases retention and engagement, with intelligent segmentation and respect for user preferences.
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Prompt objective
Implement a push notification system that increases retention and engagement, with intelligent segmentation and respect for user preferences.
Real use case
A delivery app called PedeAí has 120,000 users but only an 18% D7 retention rate. They send the same notification to everyone and the opt-out rate has reached 35%. They need smart push notifications that bring users back without annoying them.
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Prompt
Implement a complete push notification system for [APP NAME], a [REACT NATIVE/FLUTTER] app with [NUMBER] active users.\\\\\\\\n\\\\\\\\n**Context:**\\\\\\\\n- Backend: [NODE.JS/PYTHON] + [FRAMEWORK]\\\\\\\\n- Platforms: iOS + Android\\\\\\\\n- Notification types: [LIST: e.g., promotions, order status, reminders, social]\\\\\\\\n- Sending tool: [FCM/ONE SIGNAL/EXPO NOTIFICATIONS]\\\\\\\\n\\\\\\\\n**1) Technical Setup (Firebase Cloud Messaging):**\\\\\\\\n- iOS setup: APNs certificate, entitlements, Info.plist\\\\\\\\n- Android setup: google-services.json, notification channels\\\\\\\\n- Device token registration on backend\\\\\\\\n- Token updates (token rotation)\\\\\\\\n- Permission handling (request at the right moment)\\\\\\\\n\\\\\\\\n**2) Notification Types:**\\\\\\\\n\\\\\\\\nFor each type, define: payload, click action, deep link, priority:\\\\\\\\n\\\\\\\\n- **Transactional**: order confirmation, delivery status, payment approved\\\\\\\\n- **Engagement**: \\\\\\\\
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