The evolution of digital marketing has led brands to face an increasingly complex landscape, where attracting quality traffic becomes a priority challenge.
The diversity of advertising channels and increasing competition make it difficult and expensive to stand out among consumers. In this context, artificial intelligence (AI) tools emerge as key allies to optimize campaigns and reach ideal customers . According to a recent McKinsey study , the value that AI brings is solid and consistent, consolidating itself as a strategic solution to address these challenges.
More than just a trend, AI represents a revolution in uk whatsapp number list the way we identify and connect with buyers willing to invest, allowing advertising efforts to be focused on tangible results. This article explores how AI-powered automated campaigns are transforming digital marketing, helping companies maximize their profitability while redefining their business models to adapt to this new technological era.
How to get started with AI-powered, automated marketing campaigns?
Google recommends following four steps to effectively use AI-based marketing campaigns :
1.- Exploration
Adopting automated campaigns based on artificial intelligence (AI) starts with strategic exploration. It is critical to identify key areas where AI can add value, such as audience segmentation or budget optimization. Companies like Chronopost and Fragrance.com demonstrate that starting with well-planned testing and robust data analysis can lead to significant revenue increases, even in competitive environments.
2.- Experimentation
Controlled experimentation allows brands to learn quickly and efficiently. Companies like Scotch & Soda and Coco & Eve have been able to maximize their results by testing new strategies in small segments before scaling them up. This approach minimizes risk and allows brands to iterate based on measurable results. Additionally, tools like A/B testing and the Google Ads Experiments feature help validate decisions and justify broader investments.
3.- Execution
Successful AI implementation requires internal alignment and a collaborative approach. Showing concrete results to decision-makers drives trust in these tools. Furthermore, continuously adjusting strategies based on key metrics ensures sustained performance. For example, Volkswagen used first-party data to improve the profitability of its campaigns, reducing costs per acquisition while increasing conversions.