TOP 5 Digital Marketing Trends 2024

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“One of the main trends in digital marketing in 2025 will be increased personalization through the use of artificial intelligence and data” - this text was written by Bot, it speaks volumes!

Artificial intelligence is not just a trend. It is a necessary tool for process optimization, which can even be entrusted with analytics and measuring the results of advertising campaigns.

3. Deep personalization
Marketing personalization is a strategy that involves tailoring marketing content and offers to a specific user or group of consumers based on their preferences, behavior, interests, and needs. Personalization creates a more relevant and targeted experience for customers, which in turn leads to increased engagement, loyalty, and conversion.

If you read this article carefully, you may remember the first marketing trend of the 24th. Now solve the problem: What happens if you combine personalization and video content?

Answer: Personalized video content.

Personalization goes beyond simply inserting a customer's name, to now include tailoring all content to the needs and interests of each viewer.

3 Ways Your Personalized Marketing Could Look

● Exclusive offers for visitors
It is not enough to attract the interest of visitors with text or an image. The consumer either came for a specific product, or got there by chance - and is not eager to linger. For both options, an exclusive, personalized offer is prepared, for example, a discount or a welcome gift, significantly increases engagement and draws into the funnel.


Try Envybox's solution in action with the Client Generator widget. You bangladesh telegram data can customize the display scenario and widget design to match the website style and corporate colors of the company, and also set a timer to create the effect of a limited offer. The Client Generator attracts the visitor's attention and increases his trust in the company. Register for free at the link to get 8 days of full access to all the features of the Client Generator

● Personalized recommendations
Specially configured algorithms, based on the consumer’s current choice or purchase history, can show items in the assortment that will be of additional interest to them. Various forms of offers are used, for example: “People who bought this product also bought…”, “You may be interested in”, “We recommend for you”. These phrases prompt customers to consider additional products that they had not even thought of.