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This article will have two parts. The first piece serves as an executive brief, aimed at giving you a digestible snapshot without descending into the complexities of code. For those who are keen on exploring the technical depth, do dive into this article and its subsequent part. In the sequel,
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Google Analytics
In today's privacy-focused landscape, where third-party cookies are becoming obsolete, the prominence of first-party (consented) data is undeniable. As the realm of Marketing Analytics grows, so does the necessity for businesses to tap into user attributes and behaviors. It's all about making educated decisions and fine-tuning
Google Analytics
As mentioned in the previous blog, this post is part two of our series on advanced time series forecasting using GA4, with this part focusing on the practical implementation. Exploring the Rich Dataset of GA4 In one of my previous articles, I have gone through the details of GA4 data
Google Analytics
Part 1: Advanced Time Series Forecasting Using GA4 for Ecommerce Websites: A Strategic Business Perspective As a precursor to our deeper dive into advanced time series forecasting, it's important to note that this blog will be split into two parts: one catering to a strategic business audience and
Google Analytics
0:00 /0:52 1× Welcome to Part 3 of our blog series on customer segmentation using GA4 data and BigQuery Vertex AI. In this final installment, I will guide you through the exciting process of training and evaluating ML models using BigQuery ML's powerful K-Means algorithm. By
Google Analytics
0:00 /0:44 1× Welcome to our comprehensive 3-part blog series, where we will dive deep into the world of customer segmentation using GA4 data and leveraging the power of BigQuery Vertex AI. In this series, we will explore the process of unlocking valuable insights from your data to
Google Analytics
Google Analytics 4 (GA4) is the most recent version of Google Analytics, and it offers a number of new features and capabilities. One of these new features is the ability to export data to BigQuery, a cloud data warehouse. This allows users to perform more complex analyses on their GA4
Google Analytics
Google Analytics 4 (GA4) is the latest version of Google's web + app analytics platform. It provides powerful insights into user behavior across multiple platforms and devices. One of the key features of GA4 is its integration with Google BigQuery, which enables you to analyze large datasets and build
BigQuery
Google Cloud announced the public preview of BigQuery differential privacy, SQL building blocks that analysts and data scientists can use to anonymize their data. Introduction In today's data-driven world, it is more important than ever to protect the privacy of individuals. As more and more data is collected