Create Personal Marketing thru Dynamic Content

June 12, 2020

Have you ever heard of the data-driven personalisation approach? A data-driven personalisation approach is knowing ample amount of information about someone enough to deliver them content that they needed at the moment. Delivering a personalized content is the key to your business success. And to do this, you have to your customers and potential clients in order to deliver the right message.



How does this apply to dynamic content?


First, let us understand what dynamic content is. Dynamic content generates an experience that is fit for the reader at the moment. When you create a smart content that is fit for the reader at that specific moment, it creates satisfaction which can influence a potential customer to buy your products or services.


An example of this is when visiting an ecommerce website, you’ll notice that when you come back to that website again at another time, they’ll greet you and will give you some product suggestions created on what you have recently liked, browsed or purchased based on your browsing history.



How does dynamic content works?


For a dynamic content to work, your website should be able to store an end user’s information in the website’s database. This information is then utilized to create a more personal experience for your website visitor. Some of the user’s information that is collected on the website are email, name and shopping history. When the user comes back to the website, it will now show a content that’s relevant to them.


There are other different data sources to learn more about your customers, you can use your website’s analytics, social media interactions, survey forms, feedbacks and more. An average number of people nowadays are willing to give their personal information in exchange for a more personalized and better customer experience despite today’s rise in privacy concerns.


Remember: Don’t mistake dynamic content personalisation with web personalisation. Dynamic content changes based on a customer’s preferences and other database-driven signals that is triggered by rule sets. These are triggered through your marketing campaigns like Facebook ads, remarketing ads or on site content and it changes based on variables such as gender and other demographic data, preferences or shopping history.


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