There are multiple data & assets features that fulfill similar, yet different roles. This guide helps explain them and provide some common uses.
- Aggregates – Serves as a customer attribute, is calculated for each customer individually, and counts information from one event type in selected constraints. Works with complete customer history
- Running aggregates – Serves as an event attribute, is calculated for each event individually, considering only the events of one type for the specific customer that had the event, and only works with customer history preceding the individual event
- Expression – Serves as a customer OR event attribute and allows mathematical functions between different properties (including aggregates and running aggregates) depending on for which they are specified.
- Metrics – Considers all events or attributes from all customers, computing them for a total overview.
How many purchases does a customer have in total?
How many times customer visited our page in last 30 days?
What is a customer’s total lifetime value?
What is the average customer purchase when using loyalty points for purchase?
What was the referrer of a customer’s first visit to the webpage?
How many emails has customer received from us in last 14 days?
What was the last product the customer has viewed?
What was the referrer for the last session_start of this event (e.g. purchase)?
When was the last time customer had seen a specific weblayer?
When was the last time customer had received an email from an email campaign?
What was the time between the purchase and email sent to a customer?
What was the open rate for this customer in the last 90 days?
What is our total revenue?
How many people visited our web page in the last 30 days?
What is our conversion rate in the last 30 days?
What is our bounce rate today?