Marketing Data Science: Introduction to Data Blending
One of the truths we don’t talk about nearly enough in marketing data science is the need to blend data. There are very few data sources that are a single source of truth by themselves, that need no augmentation or supplementation to provide maximum value. Even...Why Do I Love Data So Much?
Kate asks, “Why do you have such a fixation on data?” This is a more interesting, philosophical question than it might first appear. Yes, I emphasize data a great deal in my work; my company, Trust Insights, is rooted in data-driven marketing. But where...Why AI Will Not Create Great Content Any Time Soon
I am bullish on AI creating content at scale. I am bearish on AI creating GREAT content at scale – or at all. Why? It comes down to limits of training data, fundamentally. All machine learning models, from the most basic to the most sophisticated, need something...What Personal Data Science Teaches Marketers
A few years ago, there was a big movement called Quantified Self, in which we would apply principles of analytics and data science to our lives with fitness trackers and other apps that would help quantify how we were living. For a variety of reasons – mainly...How To Determine Whether Something is a Trend
How do you know whether something is a trend or not? First, we need to define a trend. A trend is: a general direction in which something is developing or changing Second, we should mathematically define and be able to detect a trend. Trend analysis (and any kind of...AI for Marketers Book
In this all-new, completely-rewritten 2nd Edition of AI for Marketers, learn:
- What AI is and isn't
- 5 practical applications of AI in marketing
- Key questions to ask of any vendor claims about AI
- How to prepare your company and your career for AI
