Marketing Data Pipeline

Orchestrated Marketing Analytics Pipeline: Automating Campaign Intelligence

Marketing Analytics Pipeline is an automated solution that extracts campaign data from advertising platforms, orchestrates workflows using Airflow, transforms the data, and loads it into a centralized warehouse for BI reporting, eliminating manual data exports.

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The project

Marketing Intelligence Automation

The Challenge

Marketing teams depend on data from multiple advertising platforms to optimize campaigns, but manual data extraction and consolidation is time-consuming and error-prone. The need was to build an automated system that could extract, transform, and load marketing data without human intervention.

Complexity and Innovation

The system integrates with Google Ads and Meta Ads APIs, handles complex authentication flows, manages pagination for large datasets, implements incremental extraction to minimize API calls, and orchestrates the entire workflow through Apache Airflow with automated scheduling.

The Process

We designed the architecture with a focus on reliability and scalability, implemented robust API integrations, built transformation logic for marketing data, created an orchestration layer with Airflow, and set up automated scheduling for regular data refreshes.

Feature Inventory

  • Google Ads API Integration: Automated extraction of campaign data
  • Meta Ads API Integration: Facebook and Instagram advertising data
  • Automated Authentication: Secure handling of OAuth and API tokens
  • Pagination Management: Efficient extraction of large datasets
  • Incremental Extraction: Optimized data pulling to minimize API usage
  • Airflow Orchestration: Complete workflow management and monitoring
  • Automated Scheduling: Regular data extraction and transformation
  • Centralized Analytics Storage: PostgreSQL data warehouse
  • BI Dashboard Integration: Power BI/Tableau ready data
“Marketing analytics isn't just about collecting data—it's about creating a single source of truth that drives every campaign decision.” — Gaurav Dhiman, Data Scientist

Building Automated Marketing Intelligence

  • Seamless Platform Integration: Google Ads and Meta Ads connectivity.
  • Intelligent Data Extraction: Incremental pulls for efficiency.
  • Automated Orchestration: Airflow-powered workflow management.
  • Reliable Data Processing: Transformation and validation logic.
  • Centralized Data Storage: Single source of truth for marketing data.
  • Ready-for-Analytics: BI dashboard integration with Power BI/Tableau.
  • Scheduled Automation: Regular, reliable data refreshes.

Deliverables

  • Complete Marketing Pipeline: From extraction to BI visualization
  • Eliminated Manual Exports: Fully automated data collection
  • Single Source of Truth: Centralized marketing analytics data
  • Real-Time Insights: Regular data updates through automated scheduling
  • Scalable Architecture: Supporting multiple advertising platforms
  • Improved Campaign Optimization: Data-driven marketing decisions
Project at a glance
IndustryMarketing
Project typeData Pipeline
Technologies
AirflowPostgreSQLPython
Services
Data Engineering

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