Marketing Analytics Warehouse with dbt + BigQuery

FeaturedCase Study

Tested marketing analytics warehouse with staging models, campaign ROI marts, creative performance marts, semantic metrics, and data quality checks.

Marketing Analytics Reference BuildReference build - In progressSolo

Marketing Analytics Warehouse with dbt + BigQuery

System architecture

Architecture / Flow

The practical path from source data to reliable reporting output.

Sources

Ad, order, and creative inputs are declared as raw sources with explicit grain expectations.

Staging models

dbt models clean platform fields, join keys, attribution windows, and creative metadata.

Marts

Campaign ROI, creative performance, and executive summary marts expose dashboard-ready metrics.

Tests

Grain, spend reconciliation, revenue sanity, and coverage checks protect dashboards and AI queries.

Project Overview

Designed a dbt + BigQuery analytics engineering project that turns ad, order, and creative data into tested, documented, dashboard-ready and AI-ready marts. The project demonstrates source modeling, staging/intermediate/mart layers, duplicate grain checks, spend reconciliation, attribution coverage, and governed metric definitions.

Key Challenges

Marketing data needed a clear analytics engineering pattern for trusted reporting
Campaign, creative, order, and revenue data needed explicit grain and metric definitions
Spend and revenue joins needed tests to prevent duplicated metrics
The project needed to demonstrate dashboard-ready and AI-ready marts

Results & Impact

Defined a complete dbt project structure from sources to semantic metrics
Specified source patterns for Meta Ads, Google Ads, orders, and creatives
Planned campaign ROI, creative performance, and executive summary marts
Outlined data quality tests for grain, spend reconciliation, revenue sanity, and metric windows

Technology Stack

dbtBigQuerySQLGitHub ActionsSemantic MetricsData TestsMetric Governance

Project Details

Industry:AI-ready Analytics Layers

Duration:Reference build

Team Size:Solo

Completed:In progress

Have a similar data workflow?

If your reporting process depends on APIs, spreadsheets, ad platforms, or asynchronous exports, I can help turn it into a reliable pipeline with validation, monitoring, and clean outputs.