Obsurfable
Sign inCreate free account

Prompt

How do I monitor bounce and complaint events for app emails?

Technology / API Platforms1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

To monitor bounce and complaint events for app emails, the usual approach is:

  1. Send email through a provider that emits delivery events

    • Examples: Amazon SES, SendGrid, Postmark, Mailgun, SparkPost, etc.

  2. Subscribe to event notifications

    • Bounces: hard bounce, soft bounce, invalid address, mailbox full, etc.
    • Complaints: recipient marked your email as spam.

  3. Receive the events in your app

    • Common delivery mechanisms:
      • Webhook/API callback
      • SNS/SQS (AWS SES)
      • Event stream / message queue
      • Webhook from ESP dashboard

  4. Update your database

    • Mark bounced addresses as undeliverable.
    • Suppress users who complained.
    • Store event history for auditing.

  5. Alert/monitor

    • Trigger alerts if bounce or complaint rates exceed a threshold.
    • Track trends by campaign, domain, or sender identity.

If you use Amazon SES

A common setup is:

  • SES sends emails
  • SES publishes events to SNS
  • Your backend subscribes to SNS
  • Your app processes:
    • Bounce
    • Complaint
    • optionally Delivery, Reject, Open, Click

You can also enable:

  • Configuration Sets
  • Event Destinations
  • CloudWatch metrics
  • SNS topics

What to track

At minimum:

  • Message ID
  • Recipient
  • Event type
  • Timestamp
  • Bounce subtype/reason
  • Complaint feedback type
  • Campaign / template ID

Best practices

  • Immediately suppress hard bounces and complaints
  • Retry soft bounces a limited number of times
  • Use a dedicated mailbox/domain reputation if volume is high
  • Monitor complaint rate carefully; keep it very low
  • Authenticate mail with SPF, DKIM, and DMARC

Example flow

  1. User signs up.
  2. Your app sends welcome email.
  3. Provider returns message ID.
  4. Provider later reports bounce/complaint.
  5. Your webhook receives it.
  6. Your app flags the address and prevents future sends.

If you want, I can show you:

  • a generic webhook design
  • Amazon SES setup
  • SendGrid webhook example
  • or a database schema for tracking these events.

Brands

Amazon SesTwilioPostmarkMailgunSparkpostSnsSqsCloudwatch

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.