Marketing teams often struggle with fragmented data across multiple platforms. Ads platforms, ecommerce systems, and CRM tools all generate valuable data, but it is difficult to analyze them together.
I help companies build a centralized marketing data warehouse using BigQuery, allowing them to unify all marketing and business data into a single source of truth.
This enables reliable analytics, faster dashboards, and deeper insights into customer acquisition and marketing performance.
What this service includes
• Setup of a centralized BigQuery data warehouse
• Integration of marketing platforms (Meta Ads, Google Ads, etc.)
• Structured data models for analytics
• Clean and scalable data architecture
• Documentation of the data pipeline
Typical data sources
• Meta Ads
• Google Ads
• Shopify / Ecommerce platforms
• Google Analytics (GA4)
• CRM systems such as HubSpot or Pipedrive
Deliverables
• Fully configured BigQuery environment
• Automated data pipelines
• Clean analytics-ready tables
• Documentation for your team
Tools used
• Google BigQuery
• dbt
• SQL
• API integrations
FAQs
No. I can set up the BigQuery environment and configure the necessary integrations.
Yes. The warehouse is designed to unify data from several platforms into one structured dataset.
Yes. This setup is usually the foundation for building dashboards in tools like Looker Studio.
Marketing teams often struggle with fragmented data across multiple platforms. Ads platforms, ecommerce systems, and CRM tools all generate valuable data, but it is difficult to analyze them together.
I help companies build a centralized marketing data warehouse using BigQuery, allowing them to unify all marketing and business data into a single source of truth.
This enables reliable analytics, faster dashboards, and deeper insights into customer acquisition and marketing performance.
What this service includes
• Setup of a centralized BigQuery data warehouse
• Integration of marketing platforms (Meta Ads, Google Ads, etc.)
• Structured data models for analytics
• Clean and scalable data architecture
• Documentation of the data pipeline
Typical data sources
• Meta Ads
• Google Ads
• Shopify / Ecommerce platforms
• Google Analytics (GA4)
• CRM systems such as HubSpot or Pipedrive
Deliverables
• Fully configured BigQuery environment
• Automated data pipelines
• Clean analytics-ready tables
• Documentation for your team
Tools used
• Google BigQuery
• dbt
• SQL
• API integrations
FAQs
No. I can set up the BigQuery environment and configure the necessary integrations.
Yes. The warehouse is designed to unify data from several platforms into one structured dataset.
Yes. This setup is usually the foundation for building dashboards in tools like Looker Studio.