The 9 big data that the electric business company must see

Today's data analysis software is a dime a day, the data segmentation is more and more good, although the more data, the more subdivision, the better, you can see these complex data, it is inevitable to dazzle people, but ultimately do not understand the data, in fact, when looking at data, seize a few core data, in the downward extension, like cobwebs, will be clear a lot, Now let's take a look at the store nine big data.

1. Flow (UV)

The flow of the shop is like petrol, the car without oil, and then a good car is also nonsense, the store did not flow, there is no power source of operation, other things will not be discussed.

2. Access depth

Everyone has been to the mall, the middle of the big mall is usually hollow, standing on the first floor can see what is sold above the second floor, and each elevator has a corresponding floor to sell what the signs, the first floor will also put a shopping guide map, shop is the same, buyers come in to give the buyer corresponding guidance and recommendation, Is the buyer can be convenient in the shop to choose their favorite goods, reasonable access to the general depth of 3-4 or so, too much to show that you let the buyer into the confusion of choice, too little indicates that you did not do the appropriate guidance and recommendations.

3. Conversion rate

Conversion rate is an important basis to test the operation of the store, the details of the design, the price of goods, the quality of the flow of shop activities, planning, customer service sales capacity will have an impact on the conversion rate, the conversion rate is reasonable sellers can refer to their own type of goal average and conversion rate.

4. Sales

This data is no longer in the details, we all know. In the http://www.aliyun.com/zixun/aggregation/37393.html "> Corps team, Sales are the only data that is reflected in all positions."

5. Sales data of various categories in the shop

Through this data can know which goods sell well, which do not sell much, and then timely transfer of goods, replenishment and clearance.

6. Top Ten Best sellers (figures can be adapted for specific conditions)

Divided into Zhou, quarterly statistics, analysis of reasons, to draw experience, to promote, the establishment of a safe stock line of the important basis

7. Top Ten Unsalable payments (digital adaptation)

Divided into Zhou, quarterly statistics, analysis of the reasons, to draw experience, adjust the optimization, shop activity tendency adjustment, best-selling money to drive unsalable money.

8. Joint Rate (Sales number/sales singular)

Test customer service Recommendation sales ability, relevance and design effect

9. Customer Price

Through the customer unit price can estimate the consumption of consumer groups, lower than the customer unit price of goods available to attract the actual price of the guests, higher than the customer unit price of goods can be used as an image display, to enhance the value of the main store price, as the case increases the number of shop theme prices.