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Post by account_disabled on Jan 27, 2024 4:29:55 GMT
I wrote an article before: How to use ChatGPT to write high-quality Amazon product titles? In the past two days, some seller friends have been asking me about user analysis in the article. After communicating with them, I found that everyone has a consensus that customer feedback is very critical for product iteration and operation promotion. For sellers, customer feedback is not difficult to obtain, and user comments on various platforms are the most direct feedback. The difficulty is that there are so many Phone Number List reviews for any product, even if you only look at the top3 and top5. we now have tools that can replace manual labor in analyzing and processing seemingly messy data. For example, the AI software I used in my previous article can crawl out the 30 products on the first page of the search term in just a few minutes. If you are willing to spend another 2 hours, you can also crawl all the pages. I recall that I used software to manually export comments and then used word frequency software to analyze key words. This process took at least 2-3 hours. Now we continue to use this software to analyze customer reviews, or take children's writing tablets as an example. First, we search for products we need to know about, such as: children's writing tablets.
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