(1) Average page views per person, i.e., visit depth. The visit depth reflects the situation of buyers browsing products after entering the store. The visit depth is the same as that of offline physical stores. Whether customers look at more products after entering the store can more or less indicate whether the products of this store are attractive to customers. In online stores, the visit depth determines the page views on the one hand, and the conversion rate on the other hand.

(2) Bounce rate. The bounce rate shows the proportion of visits that buyers leave after entering a page through the corresponding entrance to the number of visits to the entrance. The bounce rate is an important factor in measuring the visited pages. Previously, the user had actually visited the page in some way. The reason for the bounce is nothing more than that the user feels that the page clicked on by the search does not meet the expectations, and then feels that the page content, service, and even the overall cognition are not in line with the previous expectations.

The bounce rate is the ratio of the number of visitors who did not click during the statistical period to the total number of visitors. The multi-day bounce rate is the average of the daily bounce rates. The lower the store's bounce rate, the more visitors go through the store. The lower the value, the better the quality of the traffic, the higher the customer accuracy, and the greater the help to the conversion rate. Bounce rate data analysis and optimization The browsing order of customers after entering the store is generally price, 5 main pictures, marketing strategy, information, product SKU, product factors, company factors, buyer protection, etc.

(3) Average length of stay. The more time visitors spend on the product page, the higher the product stickiness, the more valuable the content and services provided by the product page to visitors, and the more opportunities to convert visitor value.

(4) Order conversion rate. The order conversion rate refers to the proportion of buyers who purchase after browsing the page or browsing the page and communicating with customer service through Aliwangwang. If the page is well optimized, it means that the content presented on the page is more easily accepted by buyers, and the conversion rate will also increase accordingly.

(5) Service attitude dynamic score BSR, which is a comprehensive score. One of the scores is the product description match score, that is, the buyer compares the received product with the product seen when browsing the product page after receiving the goods. It reflects the effect of page optimization to a certain extent.

(6) Number of store favorites. Buyers will have a certain period of hesitation from browsing to purchasing. When buyers do not have enough information about the product or are willing to buy it, they will collect this store to facilitate comparison with other products or to buy it later if it is suitable for them.

(7) Average order value. The sales of a store are determined by average order value and traffic.