In addition to being able to see industry information more comprehensively, using this type of software also helps to understand the operating status of your own store. For example, the software mentioned above has the function of collecting store links and product links. If you collect your own store and the stores of your peers around you, you can compare everyone’s operating status in real time.
Through the month-on-month sales growth and the increase in the number of new products, it can be seen whether the sales fluctuations are caused by the traffic fluctuations of the overall environment or personal operation reasons.
Similarly, you can also monitor the data of your core products and similar products in the market to compare the operating status and find the gap.
In addition to using the comparison method to analyze the store, when selecting products, we can also use software to analyze the current status of the target product from more dimensions of data to help us expand products more accurately. Common product selection dimensions include market capacity, number of competitors, industrial belt advantages, whether there is brand risk, whether there is overseas warehouse value, display results and popularity of main tags, pricing of similar products in the market, and the number of product attributes, cost price, sales method, sales situation, color, style, etc. It is recommended to select at least 5 dimensions to locate products. Dimensions can be increased or decreased according to your own situation.
This type of software needs to grab data from the Wish platform, so the results presented often lag behind the market. At present, some software directly attaches product supplier links and provides a one-click export function. It seems that it is very convenient to “copy” products. If you rely too much on the data in the software in operation, or “copy” the products in the software, it will have a certain effect during the bonus period of Wish’s rapid growth. However, as the platform becomes more and more perfect, relying solely on the above practices will not train a good Wish development and operation team, and future development will inevitably encounter obstacles everywhere. The original intention of introducing data software is to enable merchants to “know the enemy”, find out their own shortcomings and improve them.