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Posted: Mon Dec 23, 2024 9:59 am
Business details data analysis The overall channel order conversion is through the breakdown of the funnel. Among them, the conversion of business details to purchase and add to purchase is compared with the peak of historical data. It is found that the data needs to be improved. At the same time, it is also understood that it is lower than the industry level; from---=.; to---=; Taking 10,000 per day as an example: 10,000. Conversion average order value =. 10,000; 10,000. Conversion average order value = 10,000; 3. Goal, improve the conversion rate of business details to purchase and add to purchase from to; It is expected to increase revenue by 10,000 per day; , improve the overall user experience of the business details page (through satisfaction or page survey satisfaction analysis is not explained here); 4.
How to break down the problem. Through the analysis japan cell number of user behavior data, what are the main concerns of tens of thousands of people who enter the product details every day? Among them, the click-through rate of the main picture click comment The product details picture exposure data of other modules is very poor, such as the selection of specifications, change of address, delivery, list label, membership module, etc., only a few percent of the click-through rate; . Through qualitative and quantitative research and analysis of users with the user research department, the main users are users who have not picked up the order or placed an order in the product details.
The main concerns of the users who have placed an comments, sales, genuine products, brand merchants... Users who have not placed an order: the product price is expensive, the preferential information is not understandable, the return is not free shipping, the sales volume is small, the product information is messy, and they are worried about whether it is genuine... . Through the communication and analysis of competing products + internal (operation and production research) departments: the page design space has too much blank space, the information display has no focus, the price discount is not clear, the calculation is not clear, and there is a lack of product portrait labels, etc.
How to break down the problem. Through the analysis japan cell number of user behavior data, what are the main concerns of tens of thousands of people who enter the product details every day? Among them, the click-through rate of the main picture click comment The product details picture exposure data of other modules is very poor, such as the selection of specifications, change of address, delivery, list label, membership module, etc., only a few percent of the click-through rate; . Through qualitative and quantitative research and analysis of users with the user research department, the main users are users who have not picked up the order or placed an order in the product details.
The main concerns of the users who have placed an comments, sales, genuine products, brand merchants... Users who have not placed an order: the product price is expensive, the preferential information is not understandable, the return is not free shipping, the sales volume is small, the product information is messy, and they are worried about whether it is genuine... . Through the communication and analysis of competing products + internal (operation and production research) departments: the page design space has too much blank space, the information display has no focus, the price discount is not clear, the calculation is not clear, and there is a lack of product portrait labels, etc.