Why Predictive AI Belongs in Every Marketing Stack

Have you ever used predictive AI-driven algorithms in your marketing campaigns?

Historically, marketing strategies have leaned on rules-based models and segmentation on a limited set of variables to categorize customers into groups to receive specific types of offers or messages.

In contrast, Predictive AI can analyze vast amounts of event data—every click, view, like, and purchase—to identify patterns and predict future behavior at an individual level.

At Relay42, we're passionate about empowering marketing teams with our Journey AI to predict conversions, churn, and Next-Best Actions (NBA).

 Why? Because AI enables marketers to:
✅ Gain truly profound insights into their customer data.
✅ Utilize these insights to craft exceptional customer experiences.
✅ Significantly improve the campaign performance. 

In this short video, our founder, Tomas Salfischberger, shares why AI belongs in every marketing stack.

What are the first steps that every B2C digital marketing team can take to prepare for the loss of third-party data? 

1. Assess your current marketing funnel;
2. Analyze the impact at each stage of the funnel;
3. Explore alternative technologies to integrate at each funnel stage (ID providers, Protected Audience APIs, data clean rooms, AI).

Bonus tip: Strategize on maximizing first-party data utilization to eliminate media waste.