# instantly-analytics-tracking

> Track campaign performance and engagement metrics for data-driven optimization

## Directory Structure

```
instantly-analytics-tracking/
├── SKILL.md
└── examples/
    ├── fetch_metrics.py
    ├── export_analytics.py
    ├── build_dashboard.py
    └── metrics_schema.json
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| SKILL.md | Markdown | Analytics tracking setup and metric interpretation |
| fetch_metrics.py | Python | Pull campaign metrics via Instantly API |
| export_analytics.py | Python | Export analytics to data warehouse |
| build_dashboard.py | Python | Create analytics dashboard with key metrics |
| metrics_schema.json | JSON | Schema for analytics data storage |

## Summary

**Category:** Operations
**Target Audience:** Marketing analysts and growth engineers tracking campaign ROI
**Trigger Phrases:** "instantly analytics", "campaign performance metrics", "track email opens", "measure cold email roi", "instantly reporting"
**Definition of Success (Technical):** Metrics pulled via API match dashboard and update hourly
**Definition of Success (Business):** Clear visibility into campaign ROI and performance trends
**Production:** true
**Version:** 1.0.0
**License:** MIT
**Author:** Jeremy Longshore <jeremy@intentsolutions.io>
