GROWTH PATTERN

Implementing Email Segmentation with Courier

While Courier delivers emails reliably, open rates and clicks aren't monitored to identify engaged vs. inactive users.

Courier

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What's Missing in Standard Courier Architecture

While Courier delivers emails reliably, open rates and clicks aren't monitored to identify engaged vs. inactive users for personalized messaging.

Standard Courier Flow vs Optimized Skene Flow

Standard Flow
1

User has access to Courier features

2

Features available but usage not monitored

3

No activation prompts for unused features

Skene Flow
1

Monitor Courier usage patterns and feature adoption

2

Identify users who haven't used key features

3

Trigger feature discovery emails with examples and use cases

4

Track feature adoption and send advanced usage guides

Visual comparison of the flows:

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How Skene Fixes This

We created a Skene Prompt that installs engagement tracking for Courier. It monitors email open rates and clicks, automatically segmenting users and sending targeted campaigns based on engagement levels.

Implementation Comparison

Using Skene Infrastructure

Install via Prompt

cursor.mdc
@task: Initialize Skene.
@action: Analyze my local code, validating subscription via `npx skene login`, and generate `skene.config.ts` to implement the Email Engagement pattern for Courier.

Copy Skene Prompt for Cursor

Generated skene.config.ts

skene.config.ts
// skene.config.ts - The Automated Way
import { defineLoop } from '@skene/sdk';

export default defineLoop({
  type: 'retention',
  opinion: 'Detect dormant users and trigger personalized re-engagement campaigns',
  steps: [
    {
      trigger: {
        type: 'schedule',
        cron: '0 9 * * *' // Daily at 9 AM
      },
      condition: {
        type: 'query',
        query: `SELECT * FROM users WHERE last_activity_at < NOW() - INTERVAL '7 days' AND re_engagement_sent = false`,
        timeout: '10m'
      },
      action: {
        type: 'email',
        provider: 'resend',
        template: 're_engagement',
        personalization: {
          name: '{{user.name}}',
          lastActivity: '{{user.last_activity_at}}'
        }
      }
    }
  ],
  recovery: {
    retries: 3,
    backoff: 'exponential'
  }
});

Frequently asked questions