As the international version of “Taobao”, AliExpress has been able to cover more than 220 countries and regions around the world in just a few years, which is closely related to its secret weapon in increasing store traffic, and this secret weapon is –data analysis. For the shop, the energy that this weapon can exert is undoubtedly huge. However, although data analysis can be of such great use, many novice sellers have difficulty finding an entry point on how to use it.
The following is a detailed description of how to actually apply data to improve store traffic.
◆Analyze data and adjust product layout
Data plays a vital role in various industries. Analysis of it can help companies and stores make decisions in production and operations. Make appropriate judgments and take appropriate actions accordingly. In terms of increasing store traffic, the first thing to do is to analyze various data to determine market demand and other issues, and then adjust the product layout in the store.
Through data analysis of industries at the same level, we can grasp various indices of different industries, such as the number of visitors, turnover, number of orders, etc. After comparison, we can figure out which industry has the best performance. The competition is relatively small. The store can adjust the product layout based on these conclusions, and new sellers can start testing the waters in industries where the competitive supply and demand index is small and the competition is not very fierce. It should be noted that the objects selected for this comparison data must be clear and must belong to the same level. Otherwise, reference-worthy conclusions cannot be obtained.
◆Create digital titles
For e-commerce, how to use the least cost to win the most store search traffic is an eternal topic. For many small stores that are not large enough, the daily product conversion rate is actually relatively low. Data-based titles will bring more searches to them, which will generate more visits. On this basis, product conversions will The rate will increase.
On cross-border e-commerce websites, search terms are analyzed through search engines, website homepages, etc. Download the data in the near future (such as 30 days) and then convert it into numbers.
Discard words with brand names, then set the filtered words as keywords, search on the home pages of these websites, and after getting the results, check whether your products match them.
◆Data analysis formulas and optimization strategies
When analyzing products, you only need to analyze the top 20 in detail, because these basically constitute the main source of store traffic. source. No matter how patient the visitors are, they will not browse all the products in the same store. Therefore, for the products at the lower position, daily optimization and promotion of the lowest price are enough. After all, the so-called hot products will not remain unchanged.
If during the analysis process, it is discovered that the products ranked after the 20th have great room for improvement, then you can consider promoting them as hot products. Basically all points included in the store’s sales process can be shown from different angles in the data, so data analysis is something that needs to be done every day. After doing the basic work of the store, you can optimize the store based on data. It is necessary to analyze and rectify the products and stores, so as to maintain freshness and attract more visitors. Those stores that just upload the products and then don’t bother with them will not have good development in the later stage, no matter how meticulous the preliminary work is.