如何按版本、用户状态等多场景推送通知？求替代AWS SNS多主题方案

Great question—spinning up a separate SNS topic for every combination of user attributes (version, location, activity status, login type) gets messy fast. Let's cover the best scalable approaches to handle your targeting needs:

1. Use AWS SNS Filter Policies (The Most Direct Fix for Your SNS Setup) #

Instead of creating hundreds of topics, you can attach filter policies to a single (or small set of) SNS topics. Subscribers (like your push notification endpoints) will only receive messages that match their assigned filter rules.

Example Filter Policies for Your Scenarios: #

• Target a specific build version:
  Attach this policy to a subscriber endpoint linked to users on version 2.3.1:

  {
    "app_version": ["2.3.1"]
  }
  

  When you send a message to the topic, include the app_version attribute in the message metadata.

• Re-engage inactive users (30+ days since login):
  Tag your user endpoints with an activity_status attribute set to inactive when they hit the 30-day mark. Then use this filter:

  {
    "activity_status": ["inactive"]
  }
  

• Target UK/US users:
  Filter by geo_region:

  {
    "geo_region": ["UK", "US"]
  }
  

• Target Google/Facebook login users:
  Use the login_provider attribute:

  {
    "login_provider": ["google", "facebook"]
  }
  

Bonus: Combine Multiple Filters #

You can even stack conditions to target, say, inactive US users on version 2.3.1 who logged in with Google:

{
  "app_version": ["2.3.1"],
  "activity_status": ["inactive"],
  "geo_region": ["US"],
  "login_provider": ["google"]
}

2. Use AWS Pinpoint for Advanced User Segmentation #

If your needs go beyond simple filtering, AWS Pinpoint is built specifically for user engagement. It lets you:

• Create dynamic segments based on any user attribute (version, location, activity, login method) without managing SNS topics manually.
• Automate campaigns (like re-engagement pushes for inactive users) on a schedule.
• Track delivery and engagement metrics out of the box.

For your use case, you could build segments like:

• "Inactive US/UK Users on v2.3.1 (Google/Facebook Login)"
• "All Users on Latest Build Version"

Pinpoint handles the heavy lifting of targeting the right users and sending notifications via SNS (or other channels like email/SMS).

3. Custom Logic with AWS Lambda + SQS #

For ultra-specific use cases (like complex activity tracking or real-time filtering), you can:

1. Store user attributes in a database (DynamoDB, RDS) with fields like last_login, geo_region, login_provider, app_version.
2. Trigger a Lambda function when you need to send a push.
3. Have Lambda query the database to fetch all users matching your criteria.
4. Send notifications directly to their endpoints via SNS, or batch them into an SQS queue for asynchronous processing.

This approach gives you full control over targeting logic, but requires more code maintenance compared to SNS Filters or Pinpoint.

Which Approach Should You Choose? #

• SNS Filter Policies: Best if you already use SNS and need a lightweight, low-code solution for simple attribute-based targeting.
• AWS Pinpoint: Ideal if you want a managed solution for user segmentation, campaign automation, and analytics.
• Lambda + SQS: Perfect for custom, complex targeting rules that can't be handled by the above tools.

内容的提问来源于stack exchange，提问作者samson