How does website recognition work?
Web site recognition is all about collecting, combining and analyzing data about Web site visitors. Although the technology can be complex in the background, the operation is easy to understand when broken down into a number of steps.
1. Collecting data
The basis of Web site recognition lies in data. Every visitor leaves traces on a website, such as pages viewed, click behavior and time on the site. This information is collected and forms the first layer of insight.
In addition, organizations can also collect data through forms, downloads or previous interactions. These first party data provides an important basis for further recognition.
2. Recognize visitors
The next step is to recognize visitors. This is done in several ways.
IP tracking:An important technique is IP tracking. Every device that visits a Web site has an IP address. This address can be linked to business information from external data sources. This reveals which companies are visiting a Web site without contacting them directly.
Fingerprint:In addition to IP tracking, a visitor can also be recognized based on device characteristics, browser settings and behavior. This combination forms a digital fingerprint, keeping visitors identifiable across multiple visits.
Furthermore, visitors can be recognized when they have previously left data, such as through a form or account. In that case, behavior can be linked directly to an existing profile, which helps build a 360 degree customer view. In it, various interactions of a lead or customer come together to form a complete customer view.
It is important to note that not all visitors are recognizable. The degree of recognition depends on the available data and the techniques used.
3. Combining and enriching data
The data collected is then compiled into a single overview. Combining data from different systems creates a richer picture of the visitor.
Consider the linking of data such as website behavior, CRM data or previous interactions. This bringing together of data sources is often done within a Customer Data Platform, in which all information is compiled into one central profile. This not only reveals what someone is doing on the website, but also how this fits into the broader customer relationship.
4. Creating insight
When all the data comes together, insight emerges. Organizations can analyze which pages are visited, what topics generate interest and how visitors move through the Web site.
In some cases, it also reveals which companies or individuals are behind the behavior. This helps to better understand how visitors orient themselves and what steps they take before taking action. These insights can then be used within marketing automation To automatically follow up behavior with relevant communication at the right time.