Technical
dbt Best Practices for Marketing Data
Implementing marketing data reliability checks and transformations in dbt.
Page Metadata
- Meta Title
- dbt Best Practices for Marketing | DataInc.ai
- Meta Description
- Learn how to build reliable marketing data pipelines with dbt including tests, documentation, and governance patterns.
- Primary Keywords
- dbt best practicesdbt marketing
- Secondary Keywords
- dbt testsdata transformationanalytics engineering
Project Structure
Staging models
Intermediate models
Marts
Organize your dbt project for marketing data with clear separation between raw, transformed, and business-ready layers.
Marketing-Specific Tests
Spend parity tests
Conversion integrity
Taxonomy validation
Essential dbt tests for marketing data quality beyond standard uniqueness and null checks.
Documentation Patterns
Model descriptions
Column definitions
Lineage documentation
Make marketing data self-documenting with comprehensive dbt docs integration.
Incremental Models
Event data patterns
Late-arriving data
Backfill strategies
Handle high-volume marketing event data efficiently with incremental model patterns.
Macros and Packages
Reusable patterns for common marketing data transformations and validations.