1, monthly sales
Monthly sales data reflect the popularity of products or categories in recent years. The higher the sales volume, the higher the consumer preference. However, we should pay attention to the influence of false data, especially the return rate, which greatly affects the reference of monthly sales. In addition, pay attention to whether there is a brush list. If it is a large number of brush lists, the monthly sales volume is also not referential.
2. Monthly sales growth rate
This data indicator is even more critical than monthly sales. It not only represents the long-term heat, but also conveys the long-term heat trend and whether there are opportunities to cut into the market at present or in the future. That is to say, the possibility of cutting into the market and the possible sales volume are predicted through the monthly sales trend curve, and the input-output ratio is comprehensively calculated at this stage, so as to finally judge whether it is necessary to cut into the market of a certain product.
3. Best-selling list
For example, Amazon's BSR, combined with the product sales ranking data of major platforms, knows which product sells best in the whole platform system, which is almost the vane of the current platform category. For example, the China spittoon that suddenly exploded on Amazon recently, this weather vane can guide cross-border sellers to quickly cut into the market, seize the opportunity and share the dividend period. Of course, it is not a blind cut, but an analysis of the reasons behind the explosion, so as to know ourselves and ourselves.
4. Number of sellers
Needless to say, the importance of this indicator directly reflects the fierce competition of current products and the current product strategies of competitors. It can almost be said that this indicator determines whether most sellers cut into the market to participate in the competition. If there are too many sellers, the homogenization of products will be very serious. Even if you have a very good differentiated competitive strategy, you will be homogenized by other competitors in a short time. Of course, the fewer sellers, the better. It is still necessary to combine other data indicators to get reliable reference opinions.
5. Product unit price
This is the easiest data to investigate, but it is also the most important indicator. Too low unit price means that there is not much room for gross profit margin, and it is likely that the market will make ends meet. Excessive unit price means higher risk and higher decision-making cost for users, and there is a high policy risk in putting into the market. The rationality of the unit price still depends on the product category. In other words, the product with reasonable unit price is the focus of attention when choosing products.
6. Number of comments
In fact, the number of comments can't decide anything, but good reviews, medium reviews and bad reviews are of great reference value. Comments reflect users' repurchase intention to some extent. A high willingness to repurchase naturally means that a certain category of products is deeply loved by users, and users will accept it better after cutting into the market, at least without bearing the cost of user education.
Of course, the key data indicators of product selection are not limited to those mentioned in the article. This paper only makes a basic exposition of several common indicators. In the actual product selection work, we still need to refer to more data to choose the product category suitable for cutting into the market.
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