First of all, users have different purchasing needs, and the output of copywriting is to minimize differentiation and expand the consumption potential of others while targeting the target population as much as possible.
Such a copy needs to be output from the following four points.
1, determine the buying point of products and the framework of copywriting;
Products can only be sold by selling points if they are positioned by selling points. The outline and content of the copy are based on selling points. Take "short sleeves" as an example. From the beginning, you focused on "softness, fashion, high-grade and postage". Then the user's possible reaction is: oh, it's ok, but it's not necessary to sell it yet. If you add "8 99 yuan" at the back, users will be impressed by the low price.
2. The logic of the content subject is clear;
The next step is the output of the content, and the logic is clear. With logical content, users can understand it and understand it before the next transformation can take place. For example, fruit, you can put your comparison chart and tell the buyer how to identify bad fruit in the copy; Give the advantages of your product.
3. The output content is emotional enough;
With the logical chain, what is the specific content of the copy? It needs emotional feelings to cause the user's buzz, and then the next click and data transformation. For emotional buyers, stories, videos or graphic copy are the things that most easily impress them. For example, introduce the culture of the product with video, or let the buyer know the function of the product with picture stories. Then, replace ordinary words with some intuitive words. For example, water needs a taste, but it would be better if you could express the taste.
4. The data is accurate.
In addition to the precise positioning of products, it is also necessary to locate the shopping needs of users. That's why you bought it. For users of different ages, the selling points of products also need to be adjusted. At this time, it is necessary to analyze DataEye-EDX with the help of big data intelligence to understand the different selling points of similar products and learn from them.