The field of marketing has been steadily becoming more quantitative for some decades now, and so is well-poised to benefit from the adoption of ML models and techniques. AI is also extensively used in marketing to better understand and target customers and to provide more personalized experiences across sales channels. In this course, Machine Learning for Marketing, you’ll explore machine learning techniques currently used by marketing teams across industries. First, you will look at what a Gartner report has to say about transformative technologies in marketing and you will explore some examples and cases of where ML is already being used in marketing – for customer segmentation, for price optimization, and for personalized experiences. Then, you’ll also get an intuitive understanding of how recommendations systems work using content-based filtering and collaborative filtering. Next, you will explore two ML case studies from research papers – the first one discusses how goal-based customer segmentation can be used in the banking industry to assess the creditworthiness of customers. The second case study will focus on dynamic pricing in public transportation to increase ticket sales and revenue. Finally, you will get hands-on coding and see how you can use the k-means clustering algorithm to segment customers using marketing data. When you are finished with this course you will have the awareness of how machine learning can be applied in marketing and get hands-on experience working with marketing data.
Author Name: Janani Ravi
Author Description:
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing … more