Copywriting needs to be continuously optimized. Excellent copywriting is undoubtedly needed by every e-commerce owner.

First of all, users have different purchasing needs. The output of the copywriting is to minimize the differences and expand the consumption potential of other groups while targeting the target group as much as possible.

Such copywriting needs to be output from the following four points.

1. The product determines the buying point and the framework of the copywriting;

Only when the product has positioned its selling point can it rely on the selling point for sales. The outline and content of the copy are based on the selling point. Take "short sleeves" as an example. If you focus on "soft, trendy, high-end, and free shipping" at the beginning, then the user's possible reaction is: Oh, it's okay, but it's not necessary to sell it yet. If After adding "99 yuan for 8 pieces", users will basically be convinced by the low price.

2. The main body of the content should be logically clear;

The next step is the output of the content, and the content should be logically clear. Only logical content can be understood by users, and only by understanding can the next step of conversion take place. For example, for fruits, you can put your comparison chart, and tell buyers how to identify bad fruits in the copy; give the advantages of your product.

3. The output content is perceptual enough;

With the logical chain, what is the specific content of the copywriting? It needs perceptual emotions to arouse users' ***. There is the next step of clicks and data conversion. For emotional buyers, the easiest thing to impress them is stories, videos or graphic copywriting. For example, use a video to introduce the culture of the product, or use a picture story to let buyers understand the function of the product. Then, use some intuitive words to replace ordinary words, such as water needs to taste, but if you can It would be better if you ask about the taste.

4. The data is accurate.

In addition to precise positioning of products, it is also necessary to locate users' shopping needs. That is, why should you buy it? For users of different age groups, the selling points of the product also need to be adjusted. At this time, you need to use big data intelligence analysis DataEye-EDX to understand the different selling points of similar products and learn from them.