What data should be focused on Amazon's selection and pricing?
Recently, foreign media conducted consumer surveys on the American market, which can provide a reference for the sellers in the second half of the year. according to the data reported, 96 % of Americans have conducted online shopping, the following are the detailed statistics of the consumer groups:
Consumer buying behavior
( 1 ) the survey shows that the average annual online shopping expense of market shoppers is $ 488;
② 71 % of shoppers surveyed said they were also shopping at a large single channel retailer. How do people of different age groups shop online
① 67 % of 80, 90, select online shopping and spend about 6 hours a week on the internet;
② 72 % of the elderly are shopping in physical stores, with an average of 2.5 hours per week. How many Americans choose to shop online
① 11 % of the parents use the internet every day, and 33 % of the people surf the internet every week;
② 55 % of the baby boomers buy online every month. The American online shopping scene
① the most shopping shoppers surveyed were bed supplies ( 43 % ), and 67 % of the purchases came from 80, 90;
② the survey showed 32 % of 80 and 90 days in their car online shopping;
③ the survey showed that 32 % of parents were shopping in the toilet. Factors affecting the purchase of consumers
① 87 % of the online shoppers indicated that the price was the most important purchase decision factor, followed by the delivery speed of the goods;
② 21 % of the online shoppers said they would be affected by advertising;
③ flexible or free return ( 68 % ) and brand reputation ( 67 % ) are equally important. There is bound to be a certain limitation in online shopping
( 1 ) " pay freight" is the biggest pain point ( 58 % ) of online shoppers, and the second place ( 49 % ) is invisible to the product.
Now, what are the data that we need to focus on for the selection?
1. review and sales rank
Review of the number of products can be seen for a period of time sales, based on the time period to see, but sometimes review growth too fast you understand! So the growth rate of review must be combined with sales rank. If the sales rank + review grows faster, it is basically a potential sales force that has the potential to sell.
2. price margins
Many small and medium sellers are easy to find in " more than a single, low profits" and " out of a single, high profit" in the tangle, in fact, this is not a problem. Small and medium-sized sellers are very difficult to sunrise thousands of documents, the proposal can be slightly lower prices, to ensure the order rate to settle the comprehensive weight of finished products, first to raise the convenience of listing all the convenience index!
If the review evaluates to an average of less than 4 stars, be careful that such a product usually has a large defect that needs to be combined with the specific comments of review to see that if the buyer feedback the problem you can solve, the product is suitable for you, if you can not solve, recommend to be respectful.
The selection and operation of the Amazon platform must be based on a full understanding of the market, and the above data is only a part of the extensive survey, here we share two cross-border e-commerce products, product data analysis and other aspects of the website.
1. data pulse www.datartery.com
The data vein is the Amazon data selection operational analysis tool for the global open shop Amazon.
Amazon's relationship with Amazon is a service to the Amazon global seller, is a third-party Amazon software.
2. purple bird www.ziniao.com
Purple data is an Amazon seller data analysis software
Its main function is to provide Amazon sellers with sales ranking, competitive tracking, keyword mining, shop analysis, ranking lock, and other big data services, committed to help the seller to quickly dig Moldbaby, improve sales!
The function is very powerful, and can even see the keywords used by peers.