Dynamic content in the context of HTML and websites refers to website content that constantly or regularly changes based on user interactions, timing and other parameters that determine what content is delivered to the user.
This means that the content of the site may differ for every user because of different parameters.
A website’s dynamic content is based upon what a web server delivers to the client browser. This could be different text, video, advertisements or even an entirely different layout and color scheme if the website offers preferences like this.
Any element in a page which contains movement and can change over time may be considered as dynamic content also, so a website that has a lot of animations for user interaction, even without dynamically changing content, may still be considered a dynamic website because elements change depending on context or conditions.
Facebook is an excellent example of a site that delivers dynamic content, as every user gets different content based on their friends and social interactions, although the layout stays generally the same.
There are two ways to provide dynamic content.
Client-Side Scripting and Frameworks
Using client-side scripting and frameworks such as JavaScript, AJAX and Bootstrap to change the UI behavior within a specific webpage in response to specific user actions and timings.
This gives dynamic behavior to the UI presentation. This is normally used in Web applications and interactive websites.
Server-Side Scripting and Processing
Using server-side scripting and processing to dynamically form both the layout and content to be delivered to the user based on parameters such as the user’s location, time of day, browser being used or user preferences.
Some good examples of this are social networking sites and content delivery sites.
Social networking sites such as Facebook and Twitter provide entirely different content per user because of the difference of their connections and subscribed services, while sites like YouTube and Amazon provide dynamic content based on user-specific preferences based on past purchases or views.
The server gives suggested items or content that the user may like based on historical data.
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