Prompt
I'm building a consumer app and want channel fallback when push fails
Latest observation
Oct 16, 2026
OpenAI APIWeb search: off
For a consumer app, channel fallback usually means: if a higher-priority channel like push fails or isn’t available, you automatically try another channel such as email, SMS, or in-app.
A practical fallback strategy:
-
Try push first
- Best for real-time, low-cost delivery.
- If the device token is invalid, user opted out, or push provider returns a hard failure, treat it as unavailable.
-
Use immediate fallback rules
- Retry push for transient failures only:
- timeouts
- rate limits
- 5xx errors
- If it still fails, fall back to the next channel.
- Retry push for transient failures only:
-
Define fallback priorities Example:
- Push
- In-app notification
- SMS
The order depends on urgency and user preferences.
-
Respect user preferences and consent
- Let users opt into channels.
- Don’t send SMS if they haven’t consented.
- Consider quiet hours for SMS/email.
-
Use message-specific policies
- Critical alerts: push → SMS → email
- Promotional: push → in-app → email
- Transactional: push → email, maybe no SMS unless important
-
Deduplicate notifications
- If push eventually succeeds after fallback already sent email, avoid double alerting unless the message is meant to be multi-channel.
-
Track delivery outcomes
- Log:
- sent
- delivered
- failed
- retried
- fallback used
- This helps tune fallback rules.
- Log:
-
Implement a channel state model Example states:
availabletemporarily_failedhard_failedopted_out
-
Make fallback asynchronous
- Don’t block the user-facing flow on delivery attempts.
- Queue the notification orchestration in the background.
If you want, I can also help you with:
- a fallback decision tree
- a data model for channel preferences and failures
- or sample code for implementing this in your backend.