According to the consultancy firm Gartner, its adoption will continue to rise, and it is expected that in the next few years, 80% of creative and marketing professionals will use AI in their daily work . This technology not only optimizes routine tasks through automation , but also allows for the application of hypersegmentation , adjusting strategies to microgroups of consumers with an unprecedented level of precision. Thanks to this, teams can focus on key strategic decisions and create personalized experiences that better connect with each customer. The future of marketing is already here, and AI is the driver of this change.
Automation transforms the role of germany whatsapp number list marketing professionals
The mass adoption of artificial intelligence is revolutionising marketing, transforming not only processes but also the role of creative professionals. It is no longer just about optimising repetitive tasks, but about allowing teams to focus on activities of greater strategic value, such as ideation and innovation. By automating processes such as image editing, content creation or optimising advertising campaigns, creatives can now spend more time developing innovative concepts that bring differential value to brands.
Mass Personalization and AI-Driven Hypersegmentation
Another of the most powerful aspects of AI in marketing is its ability to facilitate mass customization. This technology adjusts experiences and products to individual consumer preferences in real time, leading to greater satisfaction and a deeper connection between the brand and its customers. By personalizing each interaction, companies not only achieve an increase in customer satisfaction, but also in the effectiveness of their marketing strategies.
Data and patterns: the core of hypersegmentation
AI is essential for analysing large volumes of data, identifying patterns and trends that could go unnoticed with conventional analysis. Hypersegmentation , which consists of dividing consumers into highly specific groups, is a clear example of how AI enhances the ability of companies to offer personalized messages. Thanks to this technology, it is possible to analyse user behaviour both in physical stores and in the online environment, taking advantage of data from interactions on social networks, purchase history and browsing behaviour.