For the entire Wish team, if the development is a little larger and the daily order volume is more than 1,000 orders, it is necessary to control the five core data in the team operation, which are sales data (referring to sales amount), profit data, RMA data, inventory data, and cost expenditure data.
1. Sales data
Sales data statistics.
Sales data has been counted in the Wish account. The statistics here are mainly used to analyze the goals and growth of the entire team at different stages. For example, month-on-month comparison is compared with the sales of the previous month. In the traditional foreign trade peak season, that is, November, December, January, February and March, the month-on-month sales should increase. For Wish platform stores, the sales in July and August should also increase month-on-month.
Year-on-year comparison is compared with the sales of the same account in the same month last year. According to the current development trend of the Wish platform, the monthly average should increase by at least 100%.
The comparison of target progress is just to constantly remind the team to move towards the goal set by the company, but the goal needs to be achieved through details, so in daily operations, the handling of each detail should be put first.
2. Profit data
The profit statistics here refer to the calculation of gross profit. For Wish stores, the gross profit calculation formula is: gross profit-sales amount×(1-platform fee-refund rate-collection handling fee rate)-purchasing cost-logistics cost-inventory stagnation impairment.
The profit statistics can be carried out according to the model of Table 10-5-5. In addition to the gross profit of the entire store, for single products with large sales volume, statistics can also be made according to the table recommended by the platform.
Select the top N or the bottom N in gross profit for separate analysis. These data can help sales staff find single products with serious losses so that they can be optimized together with procurement and logistics personnel.
3. RMA data
Data statistics of Wish’s RMA. It can be carried out according to relevant models.
In particular, the data of individual products should be classified and analyzed, and then the corresponding departments should be arranged to optimize.
For inventory data and cost data, the calculation should mainly refer to the logistics and procurement data tables mentioned above.
These five data can be counted once a month. After the statistics are completed, a corresponding analysis meeting must be held to solve the problems exposed.