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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.
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.”
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.
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.
What is a data layer?
The term "data layer" sounds technical but can be thought of as simply a bucket for holding special values that your tags may need - dynamic data like the current state of a shopping cart, for example.
What is a tag manager?
A tag manager simplifies the scripts loaded by your website, going from this:
How is a 'visit' or 'session' defined in Lytics?
A new session is started after 30 minutes of inactivity.
I added the Lytics JStag to my site and I'm seeing around 10 requests, is this right?
When the Lytics tag loads for the first time several requests are made. There can be up to two libraries being loaded, one is for tracking and the other is for personalization. There are a couple calls for each sending data back to Lytics for tracking and to check for active personalize campaigns. All are expected and required for functionality. After the initial load, the number of calls will drop.