1、速卖通后台数据分析更新时间。
通过在速卖通的网站上进行查询,也咨询了一些比较有经验的卖家,一般速卖通的数据更新时间也是不确定的,一般都是在第二天的上午,统计的后台数据是前一天的凌晨1点到晚上12点的数据曝光.当然更新的时间也会有延误的情况发生,这个作为卖家也不要过于着急,毕竟速卖通每一天所要处理的数据也是非常庞大的。
2、速卖通的后台数据是如何进行分析的?
所谓后台数据分析,就是把一堆杂乱的信息用带有逻辑的方式去思考,并且进行有序的整理,同时把隐藏信息间的规律精炼出来,在速卖通后台就有很多这样需要整理的数据。速卖通的后台数据分析是通过各个板块来进行的,比如说是实时风暴、商铺概况、商铺流量来源、商铺装修、商品分析等等。
我们知道数据是最直接的语言,通过对数据的了解和分析,就可以很直观的得到最准确的信息。你想要了解的产品的选择、产品的曝光、店铺的成绩等等都可以在这些数据中显示出来。而且通过这些数据分析可以很好的引导平台的市场方向。从市场分析角度来说,产品的选品、打造爆款、直通车、营销、运营的每一个环节都离不开后台的数据分析,总之,后台的数据就是卖家经营的依据。
就比如像是选品,卖家通过分析速卖通的后台数据,以此来了解一些行业的供需关系以及流量的占比高低。同时也可以了解到市场的竞争情况以及将来收益的情况。卖家可通过后台的数据情况,为自己选择一款适合自己的优质商品来进行销售。如果发现自己的流量比较低,也可以参加一些平台的活动,或是进行产品标题优化来改善。
1. The update time of AliExpress backend data analysis.
Through inquiries on the AliExpress website, and consulting some experienced sellers, the data update time of AliExpress is generally uncertain. It is usually in the morning of the next day. The statistical backend data is the data exposure from 1 am to 12 pm of the previous day. Of course, there will be delays in the update time. As a seller, don't be too anxious. After all, the data that AliExpress has to deal with every day is also very huge.
2. How is the backend data of AliExpress analyzed?
The so-called backend data analysis is to think about a bunch of messy information in a logical way, and to organize it in an orderly manner, and at the same time refine the rules between hidden information. There are a lot of such data that need to be sorted in the backend of AliExpress. The backend data analysis of AliExpress is carried out through various sections, such as real-time storm, store overview, store traffic source, store decoration, product analysis, etc.
We know that data is the most direct language. By understanding and analyzing the data, we can get the most accurate information intuitively. The product selection, product exposure, store performance, etc. that you want to know can all be displayed in these data. And through these data analysis, the market direction of the platform can be well guided. From the perspective of market analysis, every link of product selection, creating hot products, through trains, marketing, and operations is inseparable from the background data analysis. In short, the background data is the basis for the seller's operation.
For example, in product selection, sellers analyze the background data of AliExpress to understand the supply and demand relationship of some industries and the proportion of traffic. At the same time, you can also understand the competition in the market and the future benefits. Sellers can choose a high-quality product suitable for themselves to sell through the background data. If you find that your traffic is relatively low, you can also participate in some platform activities or optimize product titles to improve it.