Web Analytics Vs Customer Analytics- What’s the Difference?

Jun 20, 2018

Web analytics

Web analytics and customer analytics are often confused with one another. However, both these terms are distinct from one another. Web analytics refers to the collection and analysis of web data to maximize the usage of the site. Web analytics measures things that are considered by the webmaster. This includes factors such as the number of views, page loading time, time spent by the visitor on the site, and other factors. The performance of the website can be greatly improved using web analytics. It also helps to measure the effectiveness of advertisement campaigns. Customer analytics, on the other hand, is the process of identifying the customer information, which will help companies to deliver and meet their needs. Customer analytics forms the backbone of any marketing activity for a business. It includes techniques such as data visualization, predictive modeling, and segmentation. Here are some of the key parameters that distinguish web analytics from customer analytics.

Not sure if you should opt for customer analytics or web analytics of your business? Contact our analytics experts to understand which advanced analytics solution best suits your business problem and learn how you can leverage it to stay ahead of the game.

End Users

Data and product teams are the end-users of the data gained from web analytics. It does not have anything to deal with customer-facing departments. Customer analytics, on the other hand, includes customer-facing departments, who play a major role in implementing customer knowledge into action in the organization.

Customer Insights

Web analytics is not designed to provide information at an individual customer level. It is used to identify trends and patterns in the behavior of a group of customers. Customer data analytics provides in-depth insights on each and every individual customer of the business. This can help businesses track the traits of customers individually and target the right customers especially for marketing and ad campaigns.


Web analytics does not have the capability to help companies predict the future based on the traffic driven to the site or by the number of customers who visited the site.  It can merely depict how successful the marketing campaigns of the company has been. Customer data analytics involves understanding customer behavior before reaching out to them. This behavioral study will let the company predict future leads, new customers, and references. This tool is really helpful for companies that have a huge number of customers like B2B, insurance, and real estate.

Information Provided

Marketing and data teams obtain information about website traffic with the help of web data analytics tools. Customer analytics tools provide contact and business information to sales and customer support teams who face the customers directly. This helps the customer-facing teams to get in-depth behavioral insights about the customers.

Data Organization

Data is organized around the website like page views, landing pages, and others in the case of web analytics. Customer data analytics, on the other hand, organizes data about the customers. Instead of focusing on the website data, if we concentrate on the customers’ data then the data becomes easier to control. This is because data related to customers are simpler to understand and use.

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Use Cases of Big Data Analytics in the Healthcare Industry

Healthcare Industry Overview  The healthcare industry has seen a complete overhaul in the recent years due to big data analytics. Given the ubiquity of healthcare data generated by business processes within the healthcare sector, healthcare data analytics and big...

read more

Major Use Cases of Big Data Analytics in Food Industry 

Irrespective of the location across the globe, you’ve been a part of the food and beverage industry, often as a consumer. As we’re all aware, the food and beverage industry is divided into multiple sub-sections, ranging from—fine dining to fast food. First, let’s talk...

read more


Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.


Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Talk to us
Talk to us