In many companies, digital marketers are rapidly adopting artificial intelligence (AI) , recognizing its transformative potential. However, to make the most of this technology, it is crucial for marketing managers to understand the different applications of AI in digital marketing and how they might evolve over time. Classifying AI according to its level of intelligence can help companies strategically plan which technologies to implement and when to do so.
AI, the best ally of Digital Marketing
Digital Marketing is one of the sectors that stands to benefit the most from AI, as this technology can dramatically improve key activities such as understanding customer needs, matching them to products and services, and persuading customers to make purchases. Data backs this up, with analysis showing that Digital Marketing is the domain where AI can bring the most value. Marketing managers are responding to this opportunity, with surveys indicating a significant increase in the implementation of AI in this field.
While AI has already made inroads into digital marketing, it is expected to australia telemarketing data play an even more prominent role in the future. For marketing managers, understanding the types of AI applications available and how they can evolve is essential to staying competitive in an ever-changing market. Developing a framework to classify existing AI projects and plan for future ones is crucial to fully harnessing the potential of this technology in digital marketing.
Types of AI in Digital Marketing according to the level of intelligence
The classification of AI in Digital Marketing according to the level of intelligence can be divided into these two categories:
1.- Task automation
These applications are dedicated to performing repetitive, structured tasks that demand a basic level of intelligence. They operate by following predefined rules or executing set sequences of operations in response to specific input, but they lack the ability to address complex problems or detailed customer requests. For example, a system that automatically sends welcome emails to new customers falls into this category. Simpler chatbots , such as those available on Facebook Messenger, also fall here; while they can assist customers during basic interactions, they follow a fixed decision path and ca
