The first indicator: commodity concentration refers to the quantity or proportion of commodities accounting for 80% of sales volume or sales volume (the specific figures can be agreed upon by themselves). Generally speaking, the higher the concentration of goods, the more convenient it is to place and chase orders, that is, it is easier to replenish goods, but it also exposes that there are fewer high-quality goods and potential risks, especially seasonal fast-moving consumer goods. Once the goods with high concentration are on the edge of changing seasons, the whole sales performance will suffer heavy losses, so it is necessary to contact the industry reference value of the category and reasonably observe the "commodity concentration";
The second indicator: commodity marketing rate, commodity marketing rate = number of marketing varieties * 100%, marketing varieties: the total number of goods sold in stores;
The third indicator: warehouse-to-sales ratio, which is equal to the total sales in the immediate inventory or ending inventory cycle of the store, where inventory and sales can be quantity and amount;
The fourth indicator: customer overlap. At present, many e-commerce companies are implementing the strategy of network-wide distribution and multi-brand positioning (multi-brand positioning can make the market coverage wider and the anti-risk ability stronger). In order to make the new brand start and grow faster and more effectively, the usual practice is to introduce the website traffic of mature brands into the new brand in the early stage to accelerate its growth. At this time, it is necessary to calculate the customer overlap between the new brand and the old brand, and reach a certain threshold to unbind the new brand and the old brand.
Taking back traffic too early may lead to slow or even stunted development of new brands, and taking back traffic too late may lead to multi-brand homogenization, and brand positioning is not differentiated, which cannot effectively generate incremental markets. Of course, it is obviously not enough to only track the differences and characteristics of customers who coincide with mature brands and new brands. We can compare two brands in this way, assuming that the mature brand is A and the new brand is B:
(1) What is the overlap ratio of customers of the two brands?
(2) Calculate the repeat purchase rate of overlapping customers on the basis of (1)?
(3) On the basis of (1), calculate the proportion of customers who have never returned to A for shopping after buying goods in B?
(4) What percentage of customers are satisfied at the same time on the basis of (1)(2)(3)?
It must be emphasized here that the statistics of data indicators must ensure the accuracy of 100%. The accuracy of data not only determines the depth and breadth of future data analysis, mining and mathematical modeling, but also reflects the authority of data. In particular, if the statistics of key indicators often show poor results, everyone will lose trust in the data and confidence in the conclusions based on the data will collapse. In e-commerce operation, common online store operation indicators are as follows:
1. The number of unique visitors (uv) of the traffic indicator refers to the number of non-reusable users who visit e-commerce websites. ....
2. The efficiency index of order generation is the total number of orders, that is, the sum of online orders placed by visitors. The conversion rate from visit to order is the ratio of the number of orders placed on the e-commerce website to the number of website visits.
3. Overall sales performance indicators website turnover (gmv), e-commerce transaction volume, that is, as long as netizens place orders and generate order numbers, they can be calculated by gmv. ....
Total sales profit is the difference between sales revenue and cost. Only the original cost of goods is deducted from the gross profit of sales, and the period expenses (management expenses, financial expenses and operating expenses) that are not included in the cost are not deducted.