Machine Learning
In my Day to Day Job, most of my conversations are around Data Driven Marketing and leveraging the power of Advanced Analytics in the field of marketing. One of the most talked about KPI’s in the world of Marketing is R.O.A.S as well as Predicted ROAS
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
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
MarTech
Harnessing Technological Advancements to Counteract Search Abandonment in Retail
MarTech
Complex marketing attribution topic with examples of different techniques used to solve for it.
MarTech
In the ever-changing world of marketing analytics, it is critical to understand the true impact of marketing initiatives to drive business growth. While traditional statistical analysis provides insights, it often falls short in establishing causal relationships. This is where causal inference techniques, such as Propensity Score Matching (PSM), come into
Machine Learning
In the ever-evolving landscape of digital marketing, understanding the true impact of each marketing touch-point is crucial for optimizing campaigns and driving maximum ROI. Multi-Touch Attribution (MTA) is a powerful approach that provides marketers with insights into the contributions of various marketing channels and touchpoints along the customer journey. What