Predictive personalization involves the unification of your first-party customer data with rich, third-party, cookieless consumer data–after all, your customers exist outside of interactions with your brand.
· Patrick Doherty
Prediction systems finding silly patterns is a real problem—you could even say it's _the_ problem of machine learning. Luckily there are great ways to avoid it.
· Andy Rossmeissl
When it comes to churn, no business can ever completely eliminate it, but there are strategies to consider that can help your business with churn prevention and mitigation.
· Patrick Doherty
Join Faraday's Directors of Accounts Alex Noyes and Nick Haggerty, as well as Director of Marketing Perry McDermott, where they discuss modern direct mail targeting and personalization tactics you can use to get better results from your campaigns.
· Faraday
Personalized direct mail can be accomplished through several different means that utilize your first-party data, such as merge tags and creative variations. With machine learning and third-party consumer data on top of your first-party data, you can accomplish it more effectively, and at scale.
· Patrick Doherty
In the world of machine learning, we often encounter two important concepts: the raw propensity score and probability. Though they may sound similar, they represent distinct aspects of a machine learning model's predictions.
· Thibault DodyThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.