Every day, all of us are bombarded with marketing messages on hoardings, print media, SMS, mail, TV and phone calls that are of no relevance to us and are in fact a nuisance. Google ads make a lame attempt at personalization but are actually an equal nuisance. Personalized messaging based on customer preferences is the holy grail for marketing professionals. Modeling customer preferences and predicting customer behavior are therefore important use cases for AI and should be of great interest to marketing professionals.
Recently I tried working on the marketing use case published on the the IBM Watson blog at https://www.ibm.com/communities/analytics/watson-analytics-blog/predictive-insights-in-the-telco-customer-churn-data-set/ with my preferred Machine Learning tool TFLearn (http://tflearn.org/ ) and I got good results. I would like to encourage all marketing professionals to try cracking this use case on their own. This will motivate you to start thinking of Machine Learning use cases that can enable you to reach out to your customers in a more personalized manner
If you need a little help to get you stated on your journey to learn Machine Learning, I will be happy to conduct a workshop for your team. Please mail me at firstname.lastname@example.org if you are interested.