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When would you not “Enable API Access”?

When using the Lytics audience builder, there is a checkbox to Enable API Access. This option is not enabled by default for security purposes, but you may need to enable it for personalization use cases involving web, Facebook, Google Analytics, and more. So you may wonder, "why not enable API access for all of my audiences?" A reason to keep API access disabled for some audiences is if you don't want to automatically sync them with your integrations. This will help to significantly reduce clutter in your downstream tools. Audiences with API access enabled are stored in a cookie, which Lytics uses to enable personalization campaigns. You can ensure that the size of the cookie is optimized and only relevant audiences are stored by keeping API access disabled for audiences that you do not want to target.
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How can I track user lifecycle (e.g. highly engaged, at-risk)?

Lytics tracks user behavior trends on the reporting dashboard. The section called "Total Audience Characteristics" contains a section called "Behavior", which includes engagement trends such as "High Usage", "Binge User", "Likely to Re-Engage", "At-Risk" and more. You can filter by these behaviors when creating audience segments.
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What does "self-learning" mean?

Lytics Behavioral Scores are meant to adapt over time to the behavior of the users in the account. We do this by updating the benchmarks (this includes the statistical models and parameters) used to calculate the Behavioral Scores every three days. In doing so, we can ensure that the Behavioral Scores stay “fresh.”
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What is machine learning and how does Lytics use it?

Machine learning is a form of artificial intelligence that involves applying techniques such as pattern matching and computational statistics to large amounts of data to predict events. Simply put, it’s training “machines to learn” -- hence the name. Lytics applies machine learning to your customer data to help make predictions around what people may do next: make a purchase, leave the brand, have affinity for a certain type of content, go on a binge buying spree, and so on. This is how we uncover highly valuable audiences such as “Likely to Buy” that you can narrowly target in online advertising, email marketing and web personalization campaigns. What makes our machine learning unique from that of other customer data platforms is we look at more than 125 factors about a person’s behavior to predict what they’ll do next. Other companies look at only a handful of aspects of people’s behavior. Technically speaking, Lytics implements an ensemble of statistical techniques to describe a person across a set of linearly independent behavioral dimensions. Techniques include random forests, logistically weighted moving averages and quantile estimation.