Product data analysis refers to judging the stage of a product by the data changes at each stage of its life cycle, so as to guide the structural adjustment of the product, price increase or decrease, determine the inventory coefficient of the product and the introduction and elimination, and make reasonable plans for the evolution of later products. Product data is related to the effective operation of multiple departments and directly affects the operating efficiency of the store.
Overview of product analysis:
1. Key points of product analysis
To conduct effective product analysis, it is necessary to identify key products. Merchant stores have many product categories, which are difficult to take care of with limited manpower, so it is necessary to identify key products.
(1) Hot-selling products. Hot-selling products usually only account for 20% of the store’s operating categories, but they contribute a large amount of sales and profits to the company. For such products, it is necessary to strengthen the collection, analysis and evaluation of comprehensive sales and circulation information at all stages of their operation.
(2) Price-sensitive products. The price of such products directly affects the price image of the store in the minds of buyers. Therefore, it is necessary to pay special attention to such products and adjust prices regularly.
(3) High-gross-profit products. The purchase price of such goods is low, and the gross profit is relatively high. The contribution of sales gross profit should be checked regularly, and promotion should be actively carried out to keep the gross profit of such goods at a high proportion in the total gross profit.
2. Product Analysis Interface
The Alibaba International Station Data Manager product analysis page, where the “Product Overview” contains 4 data: total number of products, number of visited products, number of inquiries, and number of ordered products. The total number of products refers to the number of products of all categories released by the merchant as of the statistical date (if the statistical period is multiple days, it refers to the arrival volume on the last day of the statistical period): the number of visited products refers to the number of products that have been visited by buyers during the statistical period: the number of inquiries refers to the number of products that have buyers initiate valid inquiries for the product during the statistical period: the number of ordered products refers to the number of products that have buyers initiate credit insurance orders for the product during the statistical period.