This playbook demonstrates how to build a modern Python data pipeline that extracts Meta Ads data to BigQuery, eliminating CSV exports and creating the warehouse foundation needed to reconcile platform-reported conversions with actual revenue across Meta, GA4, and sales data from a CRM.
In this playbook, we'll build a landing page performance analyzer that converts GA4 event data into conversion optimization strategies through intelligent SQL generation and AI-driven page-level insights
This playbook walks you through building an AI Flow that dissects ecommerce revenue drivers across a customer base. The LangGraph-based system breaks down top-line metrics into their component parts, identifies root causes, and delivers prioritized recommendations to improve performance
In this playbook, we'll build a funnel optimization agent that analyzes GA4 ecommerce data with BigQuery SQL, generates recommendations for both product strategy and funnel improvements, and creates an executive summary with prioritized action items to boost conversion rates and increase revenue.
In this playbook, we'll build a customer acquisition reporting agent that analyzes GA4 traffic patterns through BigQuery SQL, generates channel-specific AI recommendations, and provides actionable insights to improve marketing effectiveness.
In this playbook, we'll build a GA4 Analytics Agent that queries cost-effective BigQuery aggregations of Google Analytics data and uses AI to translate natural language into precise SQL, giving your team direct access to insights.
