![9 Data Sets Every e-Commerce Company Should Measure [Infographic]](http://www.shopping-cart-migration.com/wp-content/uploads/c2c_blog_featured1.png)
Imagine that you are running an online retailer, with awesome products and content, but can’t reach the planned revenue. What is happening with your website? How many unique visitors do you have daily? Weekly? Monthly? How many visitors become customers and how many customers came back to your website? The list of questions could be quite long. That’s why you have to identify the most important data sets and measure them constantly.
Lets take a deeper look at what really matters in e-Commerce measurements. As it was mentioned before, it is important to know your users acquisition costs:
- How many users landed to your page?
- Where did visitors come from?
- How many visitors became a valued customers?
- How many returning clients do you have and what is the retention rate, etc.
That is only one separate parameter, that you must know about your website. What are the other 8? All of them are described in an infographic, designed by Indus Net Technologies. Below, you will find useful advices about what are the main data sets that every e-Commerce company should measure.
Now you need to analyze how many items from the picture you’ve missed. If there are some, take care of them as soon as possible in order to make your online retailer more profitable.
Monthly Update – September 2025
In September 2025, the e-commerce landscape is increasingly shaped by AI-driven analytics and predictive modeling. Moving beyond historical data, successful online retailers are now leveraging artificial intelligence to anticipate customer behavior, optimize inventory, and personalize shopping experiences at an unprecedented scale. This month, we highlight the critical role of integrating AI tools into your data measurement strategy. Focus on how AI can help you identify micro-trends in sales, predict demand fluctuations, and fine-tune your marketing spend for maximum ROI. By utilizing AI to process vast datasets, businesses can gain deeper insights into customer segments, predict potential churn, and proactively address emerging market opportunities. This proactive approach not only enhances operational efficiency but also significantly boosts customer satisfaction and loyalty. Embrace these intelligent systems to transform your raw data into actionable strategies, ensuring your e-commerce platform remains competitive and agile in a fast-evolving digital marketplace.
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