Revenue Analysis and Financial Management: Users can analyze the revenue data, including sub-total, transaction fees, and discounts. Users can also take a look at this information on a product level through the Order Export with Product, Product Sales Performance, and Product Sales Performance over Time Hops. By understanding the financial aspects of each order or product sale, stores can evaluate the profitability of their products and pricing strategies.

Campaign Attribution and Marketing Effectiveness: Order attribution details, like source, medium, campaign, content, and term, are vital for analyzing marketing campaign effectiveness. Stores can now attribute orders to specific campaigns and channels, enabling ROI analysis. By correlating campaign performance with sales data, stores can measure marketing success.

Sales Channel Optimization: The sales channel information gives insights into platforms for order placement. Businesses can analyze performance of different sales channels (e.g., online storefronts, social media, third-party marketplaces) and evaluate effectiveness to allocate resources and optimize marketing strategies.

Payment Status and Risk Assessment: Financial status details provide payment information for businesses to monitor transactions. Risk level data categorize orders as low, medium, or high risk, aiding in fraud detection. By identifying high-risk orders, businesses can implement verification processes to minimize financial losses and ensure secure transactions.

Customer Segmentation and Personalization: Utilizing the provided information, businesses can segment customers based on their location to enable personalized marketing efforts and customized offers.