Shopping cart, a familiar word, is also an important function in e-commerce. This module is a function with high independence and complexity, consisting of multiple pages, including logistics, order splitting, price, inventory, etc. multiple factors. Most of the current mainstream e-commerce platforms have shopping carts, but different platforms attach different importance to shopping carts. This article makes a competitive analysis of the shopping cart module, let's take a look. Table of contents 1. Competitive selection 2. Background According to the latest data from foreign media Sale Cycle, the abandonment rate of shopping carts on e-commerce platforms in the first half of 2019 was 84.24%.
This means that a large number of orders and products are stopped at the last step of conversion. In addition, the data also shows that the shopping cart abandonment rate varies by category. For example, the abandonment rate of jewelry and household goods is 88.6% and 88.36%, which are higher than average. In real life, a shopping cart is a place to phone number list store goods when shopping in supermarkets and stores, but in online shopping, it is a metaphor for a real shopping cart. Buyers can add and delete goods at will, just like shopping in a supermarket. After the purchase is completed, the order is placed uniformly. At the beginning of the rise of e-commerce, the function of the shopping cart is even annotated, and the shopping cart in the real scene is borrowed to
allow users to predict that the next step to add to the shopping cart is settlement during the shopping process on the website. Seal the deal. Personally, I think that e-commerce platforms need shopping carts. Other scenarios include: temporary storage (for example, before the Double Eleven event, etc.); collection (not decided to buy, but I like it); comparison (comparing similar products together). 3. Iterative Analysis Same point 1. From the iterative data on the version, the functions of the two initial products are relatively similar, and they are constantly optimizing the main process in small steps and fast running. This is also the trend of the early mobile Internet.