
This is a table of contents for the Marketing Analytics series.

Dive into whatever part you’re looking for!
Marketing Analytics #1: Zero to Hero
Embark on a journey to unlock the power of self-serve marketing tools and democratized data analysis.
Prepare to sharpen your analytical skills and uncover valuable treasures within your marketing data.
Read ahead to stay ahead of the curve in this fast-paced MarTech world.
Marketing Analytics #2: Find North
Start your data analysis journey with a clear direction in mind. Learn the importance of designing a real-world end goal for your analysis and how it can shape your entire approach. This article will help you orient yourself in the vast landscape of data analysis, ensuring that your efforts are focused, purposeful, and poised for success.
Click here to uncover the secrets to effective data analysis orientation.
Marketing Analytics #3: Forging Ahead
Learn the essential first steps to kickstart your data analysis journey. From running descriptive statistics on relevant data sets to plotting insightful histograms, you'll gain valuable insights into the patterns and nuances of your data.
Discover how to identify anomalies, spot trends, and map out potential problem areas.
Click here to dive into the world of data exploration and visualization.
Marketing Analytics #4: Common Pitfalls
Don't let common mistakes derail your data analysis journey. Learn from real-life examples and discover how to avoid measurement artifacts and outliers that can distort your findings.
Uncover the secrets of accurate data interpretation and ensure sound decision-making.
Click here to navigate the landscape of data analysis like a pro.
Marketing Analytics #5: Analyze Away
Discover how to explore relationships within your dataset and verify hypotheses with ease.
Uncover insights into the impact of contact methods on deposit rates using real-world marketing data. Learn how to see if you have uncovered meaningful relationships.
Click here to delve into the realm of data analysis like a pro.
Marketing Analytics #6: Double Checks
Your data analysis journey doesn't end with initial conclusions.
Learn how to dig deeper, validate your findings, and ensure the authenticity of your insights. Beware of spurious correlations that arise from chance rather than true causal relationships. Explore the importance of assigning causality correctly and uncover hidden variables that may mediate observed relationships.
Unleash the potential of your analytics muscles.
Marketing Analytics #7: Recap & Appendix
This post is a recap of the process and contains downloadable links for the code and series as a whole.
Click here to download supplementary documentation