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Amazon unveils 'Store Analytics' system to help brands boost sales

09/06/2022
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Amazon unveils 'Store Analytics' system to help brands boost sales

Xing Qi Sails Cross-border E-commerce: Amazon Announces "Store Analytics" System to Help Brands Increase Sales

Many companies rooted in the field of cross-border e-commerce are particularly concerned about the latest developments of major overseas mainstream platforms. Xingqihang cross-border e-commerce also understands that Amazon has invented a technology that does not require cashiers, which can speed up people's journey to The speed of offline convenience stores, and is expected to help businesses and brands achieve sales growth through this tracking system.

Amazon announced that it plans to share with the public the data collected by the shopper tracking sensor system. Not only that, but it will also clearly inform brands about the overall data changes in the sales process, how many consumers take out the goods to complete the order, and how many consumers are halfway through. Abandon or even how many consumers make subsequent purchases on Amazon.com. In this "store analysis" plan, the most critical technology is to guide the collection of online e-commerce data and information to near-line and offline supermarkets.

Amazon did not provide more specific details, but said that it can help companies and brands to clarify the strategic adjustment direction of later operations through data analysis, and help sellers make better decisions about selection, promotion and advertising activities.

Many consumers may be more concerned about the handling of personal privacy. Amazon officials also responded that they will not share consumer data and convert it through aggregation and anonymity, and consumers’ videos and pictures will not be leaked.

Amazon has not yet disclosed the specific content of the positioning quotation. Perhaps the project will take some time to adjust before it can actually be launched. Xingqihang cross-border e-commerce believes that sellers should also have a certain understanding of store data in the process of daily operations. , learn to adjust the operation mode and development direction of the store in a timely manner through data, so that the store can have a stable development in the platform and the market.

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