What is eCommerce Analytics?

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E-commerce stores generate a huge amount of data every day such as transaction data, customer actions, customer searches , user behavior on the site, log files , and various other visitor-related data. Web administrators need to use all this generated data to make decisions about the store’s performance and increase sales . E-commerce analytics chinese overseas asia database is used for this purpose. E-commerce analytics is the analysis and finding of insights from the generated data, learning the unseen patterns and trends from the data sets to predict the business growth and improve the current status based on the analyzed data. E-commerce data can be studied in depth with the help of modern e-commerce analytics tools. Before discussing e-commerce analytics tools , let us look at a few criteria that govern the performance of the e-commerce market.

Key Performance Indicators (KPIs) in E-Commerce Analytics
Average Order Value will show you how much a customer spends on a single order in your store. It can be calculated by dividing the revenue by the total number of orders. It is one of the best methods to track profit and income. AOV should be greater than the customer acquisition cost . Every eCommerce store should track AOV and try to increase it. Methods to increase the average order value are upselling, selling product combinations to increase the order value, etc. A higher AOV allows the eCommerce store owner to be flexible in offering discounts, free shipping, and absorbing higher customer acquisition costs .