In the complex environment of cross-border e-commerce, enterprises usually face a challenge: how to expand their business on multiple platforms to increase market share and enhance brand influence. While this strategy can help expand your market reach, it also makes sales analysis extremely complex. To effectively manage and optimize sales activities across platforms, businesses must be able to quickly capture and understand a variety of sales data in order to maintain the health of each platform and ensure maximum profits.
However, how to conduct multi-platform sales analysis so that managers can intuitively and timely understand the sales status of each platform? Today, Xiao Jiu will introduce".Multi-platform sales data analysisTaking the order data of Lazada, Shopee and TikTok Shop as examples, to illustrate how to obtain order reports directly from the background of each platform through the business intelligence tool Jiushu Cloud, and unify the standard of data analysis, so as to help e-commerce sellers grasp the sales situation in a timely manner.
Multi-platform sales data analysis is mainly divided into two parts, sales data overview and detailed data and comparison. In progressSales data analysis, sellers should pay attention to the metrics that have the greatest impact on the business, such as the number of customers, the number of orders, sales, the average order value, and the associated rate. Through the analysis of these indicators, you can understand the health of your business and make corresponding strategic adjustments. Below, Xiao Jiu will take you to disassemble these indicators one by one.
The main indicators of sales analysis are:
Number of customers. Order quantity.
Order sales. Order sales.
Unit value. Associated rate.
The multi-platform sales data overview displays the data of different indicators to managers in the form of indicator cards, controls the overall sales situation in a timely manner, and finds the company's preferred products through the TOP10 hot-selling product rankings that can switch between different indicators, and adjusts inventory and promotion strategies in a targeted manner.
Through the trend of sales data changes, we can understand the sales trend of products in the year, month and week, and control the overall sales situation. At the same time, BenSales data analysisThe dashboard supports drilling, and you can click to view the sales proportion of each platform, clearly display the sales performance of different platforms, and help enterprises optimize inventory and production plans for different platforms, and adjust marketing strategies in a timely manner.
The sales data detail table is divided into three sheets by platform, store, and SKU, and clicks on different dimensions to trigger drill-through and view detailed data in depth. For example, by clicking on the platform, you can view the sales details of the platform divided by year and week; By clicking on the number of weeks in the year, you can drill into the different order details of that week; Or by clicking on the store, you can get the detailed sales of the store on different days.
BenSales data analysisBy analyzing sales performance at different time points, companies can monitor daily fluctuations in the business, identify sales trends and patterns, evaluate the effectiveness of marketing campaigns, optimize inventory management, adjust product pricing and sales strategies, and identify problems in a timely manner, so as to make rapid responses and decisions to improve operational efficiency and profitability.
The environment of cross-border e-commerce is constantly changing, so data needs to be continuously monitored in order to detect and react to problems in a timely manner. When cross-border e-commerce operates on multiple platforms, sales analysis is the key to ensuring that companies can effectively manage each platform and maximize revenue. Through multi-platformSales data analysis, which can deeply analyze the order situation of each platform to help enterprises take action and continuously optimize.