Total Revenue by Session Source shows the total revenue generated from a specific traffic source, such as organic search, paid search, or direct traffic, over a given time period.
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Used to show comparisons between values.
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To track Total Revenue by Session Source using Databox, follow these steps:
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The Sessions by Landing Page + Query string metric measures the number of sessions that start with a specific page on a website, providing insights into which pages are most effective at attracting visitors.
The Session Conversion Rate by Session Default Channel Group metric measures how often website sessions in different default channel groups lead to a conversion, such as a purchase or form submission.
The Ecommerce Purchases metric measures the total number of completed purchases made on an ecommerce website, including the quantity of items purchased and revenue generated.
The Items Purchased by Session Source metric in Google Analytics4 measures the number of purchased items in a session, grouped by the source that drove traffic to your website. This metric helps you understand which sources are driving more sales and which channels need optimization to increase revenue.
The Active Users by Source metric provides insight into the number of unique users who interacted with your website or app, segmented by the source they originated from (like Google, Facebook, etc.) over a selected time period.
The Purchase Revenue by Event metric measures the total amount of revenue generated from purchases attributed to specific events, such as product clicks or add to cart actions, in a given time period.
Total Revenue by Medium is a metric that measures the total amount of revenue generated by each acquisition medium, such as organic search, paid search, email, or social media. It helps to identify which channels are the most effective in generating revenue for the business.
The number of distinct Users who have logged at least one Event, regardless of whether the Site or App was in use when that Event was logged during the specified Date Range split by New / Returning Users.