Kandiantong: Sales can be read by day and by product

A large number of reports does not mean they are understandable. Operators usually care about a few things: how much sold today, how gross profit looks, where new customers come from, whether existing customers are leaving, which store or channel is holding results back, and which campaign actually makes money. The Kandiantong business data dashboard presents key private-mall metrics in layers: business overview, transaction funnel, member health, products and inventory, marketing results, and store comparison. It follows the same line as the data analysis system, but it puts more weight on being able to take one action after looking.

1. What operators actually need to see

A plain test of whether a dashboard is good enough: every metric should be followed by a specific action. If the payment conversion rate falls, the action is to check the discount prompt and the payment channel on the checkout page. If a store's stockout rate is high, the action is to transfer stock or lower that store's online available level. If a metric has not triggered any decision in three months, it should leave the main dashboard and move to a drill-down page. Metric sprawl is the most common reason a dashboard stops working: the page fills up, and the numbers that actually need watching go unread.

It provides core metrics such as GMV, amount actually paid, order count, average order value, refund rate, and payment conversion rate. It supports today, the last 7 days, and a custom range, and it can compare with the previous period and the same period last year. During a major promotion, a real-time curve can be viewed, which helps restock at short notice or adjust the pace of spending. One detail is easy to miss: GMV and amount actually paid must be read separately. GMV usually includes unpaid and refunded portions, and it suits looking at traffic and the scale of intent. Amount actually paid is the money that actually came in, and it suits looking at operating results. Many teams argue in meetings that the numbers do not match, and the root is that one person reports GMV and another reports amount paid. Put a note of each metric's definition on the dashboard so it does not have to be explained aloud.

Source: https://www.kandiantong.com/product/data-dashboard.html