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Data Standards Every Python Marketer Needs

The Pain

Marketing teams spend over $50M on ad campaigns — and much of that can be wasted if your CSVs don’t integrate well with your ETL pipelines.

The Fix

A Python-first standards blueprint:

  • File Formats: Parquet, Arrow

  • Schemas: dbt, Pydantic

These tools ensure your data flows cleanly from clickstream to dashboard.

What’s Inside

  • Schema stubs that plug into Airflow DAGs

  • Code snippets to validate events using pydantic.dataclasses

  • A case study showing 40% faster attribution queries on DuckDB

Applications

  • Landing page testing for SaaS products

  • Feature adoption analysis in apps

  • Conversion rate optimization in eCommerce

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