Data-Savvy Marketers

May 2026 • Marketing Analytics • Career

A practical series for marketers who want to make better decisions with data, work more effectively with analysts, or move toward a marketing analyst role.

Summary

The goal is not to turn every marketer into a full-time data engineer. The goal is to build enough analytics judgment to ask sharper questions, trust the right numbers, challenge weak dashboards, and connect marketing activity to business outcomes.

Start here if you manage campaigns, own a marketing channel, build reports, or want a clearer path into marketing analytics.

Learning Path

1. Build the foundation

Learn how marketing data is captured, cleaned, grouped, and turned into metrics people use in meetings.

  1. UTM Naming Convention Template
  2. Campaign QA Checklist
  3. Marketing Data Stack for Small Teams

2. Learn the analyst role

Understand the skills, projects, and habits that separate useful analysts from people who only make charts.

  1. How to Become a Marketing Analyst

3. Improve reporting judgment

Build dashboards and reports that are accurate, maintainable, and tied to real decisions.

  1. Marketing Reporting QA Checklist
  2. Dashboard QA Checklist
  3. Sigma Dashboard Performance Checklist

4. Understand measurement

Move beyond platform-reported conversions and learn when to use incrementality, MMM, and attribution tools.

  1. What is a GeoLift Study and how does it work?
  2. What is Media Mix Modeling and how does it work?
  3. What is MMP and how does it work?

Coming Next

  • SQL for Marketers: Queries You Actually Need
  • Marketing Metrics Every Analyst Should Know
  • How to Build a Marketing Analytics Portfolio
  • Attribution Basics for Data-Savvy Marketers
  • Dashboard Skills for Marketing Analysts