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.. Request review function Flax merchants can request reviews through the [Request Review] function on the [Order Details] page of the seller platform and contact buyers by email. This function can only be used within - days of the order delivery date and there is only one opportunity for each order. .. Functional evaluation project Amazon's official new product trial evaluation project for buyers will invite the most trusted reviewers to express their opinions on new products to help other buyers make wise purchasing decisions. Amazon will decide whether to invite buyers to become reviewers based on whether the reviews they leave are profound.



Sellers who participate in the program need to iran phone number format provide free products to reviewers, who will provide buyer reviews for these products. At the same time, the reviews with high program weight will also be displayed with a green mark. ..ty official review card A small review card is provided in the package, which can be scanned to verify authenticity, view product information, and rate with one click. Brands can leave their own brand official website, contact email, social media account, and other information on the front of the card. On the back of the card, guide buyers to use Amazon shopping to scan the Ty barcode on the product packaging and then jump to the brand's self-built scan code landing page to check the authenticity of the product, obtain promotional offers provided by the brand, view brand videos, follow Amazon brand flagship stores, etc.



, and leave reviews with one click. 3. Why are Amazon reviews useful? In summary, Amazon reviews have well guaranteed "the authenticity and objectivity of reviewers and non-profit-driven" and "the authenticity of review content" through platform rules and supporting system functions. At the same time, from the user's perspective, in the review browsing scenario, it provides users with tools and product functions to efficiently obtain useful and real information. Back to the theoretical framework of information usefulness, we will find that Amazon's evaluation system is basically designed to fit the model. Compared with the mainstream domestic platforms, it better meets the users' demands for "real" and "useful" evaluations.