Retail Media
One of the most exciting announcements at Google Cloud Next in 2023 was that Google Cloud BigQuery Data clean Room is now available in public preview. In the constantly evolving world of retail and consumer packaged goods (CPG), one of the hottest topics since a while and will continue to
MarTech
In today's rapidly evolving digital world, staying ahead in the marketing industry requires a combination of technology, creativity, and real-time responsiveness. The combination of Generative Artificial Intelligence (Gen AI) and real-world event responsiveness is a powerful one. However, the real game-changer is the ability to collect data in
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
Machine Learning
As digital marketing evolves, machine learning (ML) provides a path to crafting personalized campaigns. However, these algorithms require understanding of their inherent complexities. This is where Machine Learning Operations (MLOps) comes into play. MLOps ensures your marketing strategies stay current, leveraging real-time data to drive your marketing endeavors forward. But
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
Machine Learning
0:00 /0:27 1× Welcome to Part 2 of the blog series on customer segmentation using GA4 data and BigQuery Vertex AI. In this installment, I will guide you through the crucial step of preparing a flat table as your training dataset. By transforming the complex data structure of
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
SAP
The world's largest enterprises rely heavily on SAP to operate their most critical business systems. These systems generate a wealth of business data that is considered among the most valuable assets within an organization. This data provides indispensable insights into various facets of business operations including supply chains,
Google Analytics
As a new age of digital analytics dawns, we say goodbye to Universal Google Analytics and embrace the dynamic world of GA4. Universal Analytics has officially ceased its data processing operations from this day forward. This shift signifies that Universal Analytics properties, even those nestled within accounts with 360 properties,
Generative AI