Introduction Even a year after its rollout, Google Analytics 4 still feels like a work in progress for many marketers. Despite its powerful event-based structure and privacy-first approach, GA4 continues to present real usability issues, especially when it comes to navigating reports, customizing dashboards, or decoding traffic sources. If you're a growth marketer working for…
read moreIntroduction In my 12+ years in digital marketing, I’ve seen that data standardization is often overlooked, but it's a key step in marketing science for building reliable predictive models. In marketing, we often deal with features on completely different scales: ad spend in euros, session duration in seconds, product views as counts. If you…
read moreThis blog post covers: Generating pivot tables from a CSV file Renaming columns in pivot tables Visualizing pivot tables with Matplotlib Introduction In this blog post, we'll explore how to build and manipulate marketing pivot tables using pandas in Python and discover how to incorporate plotting libraries for diverse visualizations. As a data…
read moreAre you a growth marketer looking to sharpen your data manipulation skills with Pandas? This guide will walk you through the essential steps to prepare and clean marketing data in a CSV format, ensuring accurate analysis and better decision-making. As a marketer, it is crucial to perform data transformations before conducting analysis, such as adding,…
read moreOverview In this blog post you will learn the steps required to import CSV files in pandas library using Jupyter notebook. We will also explore what the most popular data types are. Data Sources Type Explained to Growth Marketers You might wonder, why would you need to import CSV files in pandas? Each team…
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