The concept of Artificial Intelligence (AI) is not new. It has been almost 70 years since the term was coined, with AI going through phases of great enthusiasm, followed by periods of frustration, such as the famous "AI winter" between the 1960s and 1980s. However, the true AI revolution has occurred in the last 15 years. Between 2010 and 2020, AI not only replicated human skills but also surpassed them in areas such as image recognition and natural language processing. This was driven by the exponential increase in computational capacity and the evolution of algorithms.
During this period, marketing began to transform with the arrival of Marketing 4.0, a concept coined by Philip Kotler. He highlighted the transition from traditional marketing to digital, focusing on connectivity, engagement, and the growing role of communities, with AI playing a crucial role in this process.
Today, with Marketing 5.0, we are in a new era, in which AI, automation and massive data analysis not only digitize processes, but create personalized and deep experiences for consumers.
In 2024, AI goes far beyond operational automations; it transforms the way companies make strategic decisions, forecast trends, and personalize experiences. The evolution of technologies, from simplepromptsFor complex APIs, it allowed AI to be applied in increasingly specific and impactful business contexts. It's not just about efficiency, but about offering the consumer a sense of exclusivity.
According to a McKinsey study, companies that invest in AI strategically are creating new sources of revenue and competitive advantages, not just automating processes. One of the biggest impacts of AI in marketing is its combination with neuromarketing, a field that explores how the human brain responds to emotional stimuli. By customizing the customer experience dynamically and in real time, AI can activate brain regions associated with reward and satisfaction, creating a deeper bond and increasing consumer loyalty.
This customization capability is crucial, especially at a time when 75% of companies did not achieve their marketing goals and 74% failed in sales, according to the 2024 RD Station report. In this scenario, AI stands out as an essential tool to try to reverse this trend, helping brands align their campaigns with individual consumer behavior and preferences.
Data from Marigold's 2024 Global Consumer Trends Index reveals that different generations respond differently to personalization:
- Generation Z (18–26 years old):64% are more likely to engage with messages aligned with the brand's purpose. They seek authenticity and are attracted to exclusive content and brand communities. However, 51% are frustrated with overly automated and irrelevant customizations.
- Millennials (27–42 years old):66% value the brand's purpose, but are more engaged in loyalty programs. 42% feel dissatisfied when communications are not properly personalized according to their expectations.
- Generation X (43–58 years old):They focus on convenience and quality, with 59% prioritizing these aspects when making purchases. Although cautious about data privacy, they are also dissatisfied with automated interactions that seem invasive or unnecessary.
- Boomers (59+ years):46% are loyal to brands with which they have a long-term connection and are willing to pay more for that relationship. However, this generation is also intolerant of customization that does not add real value.
These data show that personalization is more than a trend; it is a necessity for brands that want to build genuine connections with different audiences. Each generation has unique expectations, and AI allows companies to adjust their strategies to create a deeper and more relevant impact.
Although the advantages of using AI in marketing are evident, with the increase in AI use in automated interactions, the challenge of saturation arises. There is a risk that, with so many personalized messages, authenticity and relevance may be lost. To avoid this, it will be essential to find the balance between scalability and genuine personalization.
Brands that manage to handle this complexity will be ahead, ensuring meaningful interactions and maintaining consumer trust in an increasingly competitive and content-rich environment. AI is therefore at the center of this transformation, offering not only efficiency but also the ability to create unique and memorable experiences for each consumer at every stage of their journey.