Automated Personalization

The Automated Personalization algorithm shows the right content to each customer on your site. It's most effective when you have the time to allow the Automated Personalization experience to complete a state of learning. Exploration a...

Engine context variables are distinct data points with assorted values. Each context variable (for example, device type) is a piece of information about your customers that the Personalization engine uses when it makes one-to-one decisions. Th...

In an Automated Personalization experience, Monetate maximizes the performance of each individual. To accomplish this measurement, it separates experience traffic into two groups: Automated Personalization and Holdout. The average performanc...

Automated Personalization experiences focus on goal metric performance. Performance data is available as soon as sessions included in the experience end, which occurs after customers are inactive for at least 30 minutes. Accessing an ...

The Automated Personalization experience shows the right content to each customer on your site. It is most effective when you have the time to allow an Automated Personalization experience to complete a state of learning. To get the most from an...

The Engine Insights tab available on the Experience Results page for Automated Personalization experiences provides a view into the data that Monetate used to decide if a site visitor was a better fit for one variant in an experience over anothe...

Automated Personalization experiences are best used when you have variants that can speak to different individuals and when you want to optimize a specific metric. Here are some best practices to consider when you create an Automated Personaliza...

Functionality Why can't the variants run on different pages of my site? Monetate designed the Automated Personalization algorithm to select the best variant to maximize a customer's chance of completing the experience goal. For t...