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2024
Welcome 2024
Retail Media
How Retail Media Networks can help Supply Chain Experts
The holiday season is a time of great consumer activity, and it presents retailers with a unique challenge How to optimize their inventory to meet the surge in demand while minimizing costly overstocks and understocks. Retail Media Network (RMN) can provide a wealth of data-driven insights that can help retailers
Retail Media
Retail Media Networks can boost your Sustainability Index
As the holiday spirit fills the air and shopping lists get longer, consumers are increasingly looking for brands that align with their values, including environmental responsibility. This presents a significant opportunity for sustainable brands to stand out in the ever-changing retail media landscape. The statistics speak for themselves. 72% of
Retail Media
Decoding Retail Media and Its Future Trajectory
As the Retail Media Network (RMN) industry is poised to double in value to an astonishing $107 billion* Over the next five years, it’s time to take a closer look at two critical aspects: the "operational intricacies" of retail media and the "future direction" of
Retail Media
Retail Media Networks Love Data Clean Rooms
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
Marketing Automation on Steroids - Ads API + Gen AI
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
*NEW* Google Analytics User Data Export to Google BigQuery: Unleash the Power of User Insights!
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
Part 2 - Advanced Time Series Forecasting Using GA4 and BigQuery ML for Ecommerce Websites: A Practitioner's Guide
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
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
Navigating the Digital Storm: Empowering Data-Driven Marketing with MLOps
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
Part 3: Unlocking Customer Insights: Leveraging GA4 Data in BigQuery for Enhanced Customer Segmentation
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