Rules and machine-learning algorithms are at the heart of any personalization program. Machine learning continues to grow in popularity, but rule-based personalization remains a critical personalization tactic. It’s important to master both approaches, and the key is to match the right tactic to your goals.
In this eBook, you’ll learn:
What is the difference between rule-based and machine-learning personalization?
When is the right time to use one over the other in your personalization program?
How do you create segments and build rules?
How do you build algorithms and apply them across your digital properties?
How can rules and machine-learning algorithms be blended effectively?
Download this eBook to gain the solid foundation you need to successfully apply both rules and machine learning in your personalization efforts.
