In 2025, businesses face a complex landscape: consumers are saturated with messages and increasingly demand brand authenticity. In this context, two key marketing goals — lead generation and brand awareness — not only coexist, but must be integrated into a single strategy to maximise results.
The current B2B marketing landscape has shifted dramatically. In a setting where the sales cycle can last between 1 and 5 months (and even longer in industrial or tech sectors), generating quality leads is no longer just a competitive advantage—it’s a strategic necessity to maintain a steady pipeline of opportunities.
Although artificial intelligence (AI) has revolutionised many areas, there's one field where it still stumbles: turning data into understandable visuals. At first glance, it seems like a solved task. But behind every visualisation lies a deeper, still unresolved challenge: how to distil complex analytical processes into a single, clear, and effective instruction?
A study by Aberdeen Group concluded that companies using lead scoring techniques see a 77% increase in return on investment (ROI) in lead generation. This percentage shows just how important these marketing techniques are for businesses.
In recent years, artificial intelligence has become an almost essential ally for marketing professionals in companies. This has been made possible thanks to its ability to generate leads, score their quality through automatic lead scoring, and offer advanced predictive marketing tools that help anticipate user behaviour.
