What's Missing in Standard Cassandra Architecture
While Cassandra handles data storage correctly, there's no built-in system to track user behavior patterns and identify when users become inactive. You need to implement custom activity monitoring.
Standard Cassandra Flow vs Optimized Skene Flow
User completes onboarding
User activity tracked manually (if at all)
No automated re-engagement when activity drops
Monitor your database 'events' table for user activity patterns via standard features
Detect when user becomes dormant (created 5+ records this week)
Trigger re-engagement email sequence with personalized content
Track re-engagement success and adjust campaigns
Visual comparison of the flows:
Loading diagram...
How Skene Fixes This
We created a Skene configuration that tracks user activity in your database and correlates it with authentication session data. When users become dormant, it automatically sends personalized re-engagement emails that reference their last actions.
Implementation Comparison
Using Skene Infrastructure
Install via Prompt
@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 Cassandra.Copy Skene Prompt for Cursor
Generated 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'
}
});