The development of technology and the increasingly massive use of the internet emphasize the eradigitalinfluencing every aspect of human life, including digitalization in marketing activities.
Digital marketingbasically makes it easier to market products or services, build brands, and interact with audiences through digital platforms, such as websites, instant messaging, and social media.
Based on the BPS report entitled ‘E-commerce Statistics 2022’, internet services are widely used by business actors for digital marketing and advertising through social media and marketplaces.
However, the current development of digital marketing is also influenced by the use of cutting-edge technology which makes the marketing process easier.
Call it the use of artificial intelligence (AI) technology . According to The New York Times in the report The Future of Not Working , repetitive jobs such as financial analysis, marketing, and legal work can be done through AI.
Head of the Center of Digital Economy and SMEs Institute for Development of Economics and Finance (INDEF) Eisha M Rachbini also believes that AI will support transformation and accelerate the Indonesian economy.
“The impact of using AI in industry 4.0 will reduce production costs,” he said in a discussion entitled ‘Benefits of Applying AI and Its Impact on the Economy’ in March 2023.
Benefits of AI in Digital Marketing
AI in marketing has a significant role in increasing the effectiveness and efficiency of digital marketing. Because, it provides opportunities for better personalization, more sophisticated data analysis, and automation of marketing processes.
Help Personalize Marketing Conten
AI enables content personalization based on user behavior and preferences. By understanding user data, AI can serve more relevant content.
Customer Segmentation
AI can help in customer segmentation based on preferences, behaviors, and demographics. This allows for more focused and relevant campaigns.
Product Recommendation
AI-based recommendation systems can analyze user purchase and behavior data to provide more accurate product recommendations. This increases cross-selling opportunities and increases average order value.