GROWTH PATTERN

Building Activity Tracking for Appwrite

Data storage with Appwrite works, but there's no automated system to segment users by behavior and send targeted campaigns.

Appwrite

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What's Missing in Standard Appwrite Architecture

While Appwrite handles database operations well, it doesn't include activity monitoring to detect churn risk or trigger re-engagement campaigns.

Standard Appwrite Flow vs Optimized Skene Flow

Standard Flow
1

User has access to Appwrite features

2

Features available but usage not monitored

3

No activation prompts for unused features

Skene Flow
1

Monitor Appwrite 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

The Skene infrastructure for Appwrite tracks user activity and segments users by engagement. It automatically triggers retention campaigns for dormant users and celebrates milestones for active users.

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 Retention Loop pattern for Appwrite.

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