Membership-Revenue Analytics

The Revenue Analytics feature is designed to provide users with detailed insights into their revenue generated from one-time purchases. It allows users to filter their data by date and purchase channel and view the distribution of top four offers in the given date range. Additionally, users can compare multiple offers and see the revenue generated from these offers.


Membership-Revenue Analytics

Overview:

The Revenue Analytics feature is designed to provide users with detailed insights into their revenue generated from one-time purchases. It allows users to filter their data by date and purchase channel and view the distribution of top four offers in the given date range. Additionally, users can compare multiple offers and see the revenue generated from these offers.

Features:

The Revenue Analytics feature is a sub-feature of Analytics, which is accessible through the main menu. Users can access Revenue Analytics by navigating to Analytics and then Revenue Analytics.

Net Revenue Tab:

The Net Revenue tab is the default view of Revenue Analytics. It displays data for one-time purchases and provides users with the option to filter by date and purchase channel, including Membership checkout, Funnel, and Upsell checkout.

1.Filtering Options: Users can filter the data displayed in the Net Revenue tab by date and purchase channel. The date filter allows users to select a specific date range, and the purchase channel filter enables users to choose from the three available options.

2.Offer Distribution: The Net Revenue tab also shows the distribution of top four offers in the given date range. It also shows total units sold and total revenue for selected date range and filters

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Compare Offers Tab:

The Compare Offers tab enables users to compare multiple offers and see the revenue generated from each offer. Users can compare up to four offers at once.

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Conclusion:

The Revenue Analytics feature is a valuable addition to the Analytics suite, providing users with detailed insights into their revenue generated from one-time purchases. With the ability to filter data by date and purchase channel, view offer distribution, and compare multiple offers, users can make informed decisions about their business strategies.

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