Will Product Search Interest Be Translated Into Demand?

Google trends, this kind of tool, its basis of statistics is the search volume, and the search volume reflects the attention, then will search interest be translated into demand? Or even affect the marketing of products? Let's compare the different product terms. Enter three product terms, such as LED light, LED lamp, plush toys. It can be found that LED light relative to LED lamp and plush toys search interest and search volume, from the bar chart and year-on-year trend curve can be seen much higher, and the trend curve has a clear cyclical change. So, here we may wish to put forward a hypothesis, LED light ‘s search volume is higher than LED lamp and plush toys, does it mean that the demand for LED light must be higher than the other two types of products? Do we need do hot LED light products? From the B2C point of view, LED light search interest curve is a rising trend, basically the peak of the search curve in December of each year, low peak is in June of each year, a cyclical trend. It reflects the procurement cycle and hot month of such products. If we are making this kind of product, through the trend tool, we can know when this kind of product is a purchasing season and off-season respectively. Secondly, we can compare the other two types of products, to see which is hotter in different periods and attracts more attention from potential terminal consumers in the market. It also monitors which search terms are relevant, and where the search interest is concentrated. Correspondingly, the high search interest in these countries suggests that people in these developed countries are more concerned about such products. That is, these users who search for product terms through Google's engine may contain the ultimate consumer of the product. When a user searches for a product word, it shows that the product is concerned about interest. This segment of the customer base may end up being consumers because it focuses on such products and searches for some of the information they receive. For example, some product experience blog, social networking site recommendations, evaluation, experience site, shopping recommendation platform guidance and so on. Because this information was received, the user eventually purchased the product. We can see that for B2C products, the search volume and trade volume are related. Focusing on the high heat attention, to some extent, push the purchase of these people, or stimulate their demand. On the one hand, users are willing to search for, to compare such products, on the other hand, the e-commerce platform also enlarges the exposure and attention of the product, and ultimately promotes these terminal potential customers, from attention to their own needs, and ultimately form a purchase. Therefore, this trend curve tool reflects the attention of potential consumers and has a positive impact on trade volume. By understanding the number of searches in the local market and how much attention consumers are paying to the product. Whether the final consumers pay attention to this product means whether our product is popular and in demand in the local market, which can bring us a lot of valuable information, which is very useful for B2C foreign trade friends.

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