Runjs license key7/3/2023 ![]() ![]() Segment of users based on the likelihood that they would subscribe to the website. Segment values are populated when at least one segment value from LtC is used in live Composer experience The segment is broken into 10 categories, with 0 as the least likely to cancel and 9 as the most likely to cancel. The Likelihood to Cancel segment of subscribers is based on the likelihood they would cancel their subscription. Segment values are populated only if the segment is used in live Composer experience Users who have disabled the automatic renewal of their subscription payment, and who will terminate their subscription upon the subscription end date. Segment of users that have entered the purchase funnel, but have not completed a transaction: Abandoned checkout in the last 48 hours, Abandoned checkout in the last 7 days, Abandoned checkout in the last 30 days. Segment definition of visitor from C1x segmentation engine: Registered Users, Gift Recipients, Free Trial Users, Paid Trial users, Subscribers, Churned Users. Information within the \"event\" scope (several possible values per visit). For example, a subscription has been upgraded, or auto-renewal has been updated via the helpdesk.Įither native to Piano Analytics’ standard data model and applicable for Composer Insights clients or implemented as a part of Composer Insights implementation: The change is done "off-site" with the help of the customer helpdesk or automatically by the system, etc. EventsĮvents streamed as a part of Composer Insights implementation: NameĮvent that specifies a change in subscription behavior. The final table in this section shows the properties connected to each event to help you understand which properties are available for a given event. Note that all of this data can be combined in numerous ways using Piano Analytics' powerful data manipulation functionality in Data Query. Examples of metrics include experience conversion rate and lost subscriptions. Metrics: Piano uses the combination of events, properties, (and other metrics) to calculate out-of-the-box metrics.Each piece of event metadata is a a property. Properties: An event can have hundreds of pieces of metadata attached to it (for example, think of all the rich device, referrer, and geography data a pageview contains).A pageview or a template firing or a conversion are examples of events (an event, by nature, is a data point associated with a timestamp). Events: Events are the primary data points ingested into Piano Analytics.When thinking about this data, it's important to understand three categories of data within the Data Model: In this article, you will be able to review the Data Model structure used to represent and calculate data displayed in Composer Insights. Composer Insights automatically sends the most valuable Composer and VX data into Piano Analytics. ![]()
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