Prompt

How do I set up transactional email webhooks for bounces and deliveries?

Technology / Developer Tools1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

To set up transactional email webhooks for bounces and deliveries, the general flow is:

  1. Create a webhook endpoint on your app/server
  2. Register that endpoint with your email provider
  3. Subscribe to bounce/delivery events
  4. Verify and process incoming webhook payloads
  5. Update your database/logs based on the event

1) Create a webhook endpoint

Expose an HTTPS route in your app, for example:

  • POST /webhooks/email

This endpoint should:

  • accept POST requests
  • parse JSON payloads
  • respond quickly with 200 OK
  • handle retries/idempotency safely

2) Register the endpoint with your provider

Most transactional email services let you configure webhooks in their dashboard or API.

You’ll usually provide:

  • the webhook URL
  • a signing secret / verification token
  • event types you want: bounce, delivery (sometimes also open, click, spamreport, etc.)

3) Subscribe to bounce and delivery events

Make sure the provider is configured to send the correct event types:

  • Delivery: email successfully accepted by recipient’s mail server
  • Bounce: email could not be delivered

Some providers distinguish:

  • Hard bounce: permanent failure
  • Soft bounce: temporary failure

4) Verify webhook authenticity

Always verify incoming webhook requests using:

  • a signature header
  • HMAC verification with a shared secret
  • or provider-specific verification mechanism

This prevents spoofed webhook requests.

5) Process the event payload

Typical actions:

On delivery

  • mark message as delivered
  • store delivery timestamp
  • update notification status

On bounce

  • mark address as invalid or risky
  • record bounce reason/code
  • suppress future sends to that address if it’s a hard bounce

Example handler

Here’s a simple example in Node.js/Express:

import express from "express";

const app = express();
app.use(express.json());

app.post("/webhooks/email", (req, res) => {
  const event = req.body;

  switch (event.type) {
    case "delivery":
      console.log("Delivered:", event.message_id);
      break;
    case "bounce":
      console.log("Bounced:", event.message_id, event.reason);
      break;
    default:
      console.log("Unhandled event:", event.type);
  }

  res.sendStatus(200);
});

app.listen(3000);

Recommended best practices

  • Use HTTPS only
  • Return 2xx quickly
  • Store event IDs to prevent duplicate processing
  • Log raw payloads for debugging
  • Handle retries gracefully
  • Suppress hard-bounced addresses

Example payload shape

A provider might send something like:

{
  "type": "bounce",
  "message_id": "abc123",
  "email": "user@example.com",
  "reason": "Mailbox full",
  "timestamp": "2026-10-10T12:34:56Z"
}

For delivery:

{
  "type": "delivery",
  "message_id": "abc123",
  "email": "user@example.com",
  "timestamp": "2026-10-10T12:35:10Z"
}

If you tell me which email provider you’re using (SendGrid, Mailgun, Amazon SES, Postmark, SparkPost, etc.) and your backend language, I can give you exact setup steps and code.

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 dotdotPR. 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.