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What are characteristics?
Characteristics are a type of pre-defined audience, meant to represent factual information about a user with the sole purpose of enhancing audience segmentation capabilities. For instance, the âHas Emailâ characteristic is comprised of all profiles that have some value for email. This can be viewed as an aggregate, how many users are a member of âHas Email,â or on the individual profile level.
Why my audience is not being returned in the Lytics Javascript tag?
You will need to check the Enable API option in the audience editor of the audience you would like to see returned to the Javascript tag.
Why are my audiences different sizes on different pages?
Lytics regularly caches the sizes of audiences to increase the responsiveness of the interface. If you have recently edited a segment, or have just sent large amount of event data, the dashboard and summary pages may have an out-of-date audience size. To see the most accurate audience size, view the audience and click the pencil icon to edit. The audience editor will always show the most up-to-date segment size.
What are pre-defined audiences?
All Lytics accounts comes out-of-the-box with some universally useful pre-defined audiences.
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.
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 âfresh.â
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, itâs training âmachines to learnâ -- 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 âLikely to Buyâ that you can narrowly target in online advertising, email marketing and web personalization campaigns.
How is "bot" traffic identified?
When data is collected using the Lytics JavaScript Tag, bot traffic will automatically be identified. This identification occurs during the collect and ingest process by analyzing the user-agent for patterns commonly associated with bots. In most cases these patterns are clearly identified by their origin such as Google.
What SSO options are available on Lytics?
Lytics currently supports Service Provider (SP)-initiated SSO using Google Cloud Identity Platform. Please refer to the documents below for details on each implementation:
Will a tag manager affect my website's performance?
No, tag managers behave asynchronously to avoid degrading website performance and offering a poor user experience. This means that when a user loads a page on your website, the tags you've added won't block the page from rendering for the user. Contrast this with synchronous behavior, which would stop the page from fully loading until all of the tags had finished loading.