There are many data indicators for cross-border e-commerce. If sellers cannot understand the meaning of each data indicator, then the data is at best just a bunch of symbols. Therefore, sellers need to form a clear idea in their minds and sort out the types and meanings of data.
Indicators related to traffic
① Pageviews (PV): The number of times each page of the store is viewed. If the same user opens a page multiple times, the pageviews of the page are also accumulated. The pageviews show the number of times the store page is visited. The larger the pageviews, the more times the store is viewed.
② Pageview ratio: The ratio of pageviews from a certain source to pageviews from all sources. The larger the pageview ratio of a certain source to pageviews, the larger the visit volume from this source.
③ Search exposure: The number of times the store product is exposed on the website search results page on the same day in the United States.
④ Product page views: The number of times all product detail pages are visited on the same day in the United States. Multiple visits by the same user during the statistical time are recorded as multiple times. The pageviews of all terminals are equal to the sum of the pageviews on the PC side and the pageviews on the wireless side.
⑤ Number of visitors to product pages: also known as the number of visitors (UV). The larger the number of visitors, the greater the customer traffic of the store. The number of people who visit the product details page on the same day in the United States. If the same user visits multiple times within the statistical time range, it will only be recorded once. The number of visitors from all terminals is the sum of the number of visitors from the PC side and the number of visitors from the wireless side.
⑥ Percentage of new visitors: refers to the percentage of newly added visitors to the total number of visitors.
⑦ Number of visitors to product pages of old buyers: The number of people who visit the product details page on the same day in the United States. If the same user visits multiple times within the statistical time range, it will only be recorded once. The number of visitors from all terminals is the sum of the number of visitors from the PC side and the number of visitors from the wireless side. Old buyers refer to buyers who have had payment records in this store before.
⑧ Average visit depth: The visit depth is the number of times a user visits a page in the store in one visit. The average visit depth is the average visit depth of all users each time they visit. When viewing across days, this indicator is the average value of daily data in the selected time period.
⑨Average visit time: The visit time is the length of time a user spends visiting a page in a store during one visit. The average visit time is the average length of time for each visit by all users. The longer the stay time, the more attractive the store is to users.
⑩Bounce rate: The percentage of visits that leave after visiting only one page to the total number of visits to the page. The higher the bounce rate, the less attractive the page is to visitors, and the more it needs to be improved.