Netcomm Forum 2026

Bytek will be attending Netcomm Forum, the key event for the Italian digital commerce ecosystem, bringing its perspective on how AI and first-party data are reshaping marketing, performance, and customer experience, and you can find us at Booth D77 to explore a more advanced, data-driven way to activate and scale your strategies. 

At the event, we’ll focus on how to move beyond fragmented data and disconnected touchpoints by building a consistent data foundation that brings together CRM, web, app, and transactional signals into a unified layer ready for analysis and activation, enabling teams to work on a clearer, more reliable view of their customers. On top of this foundation, predictive models allow companies to shift from reactive logic to forward-looking decision-making, identifying not just what users have done, but what they are likely to do next and how much value they can generate over time, making it possible to guide targeting, personalization, and budget allocation with greater precision. This translates into more efficient campaigns, stronger audience quality, and a measurable impact on performance, with use cases ranging from value-based bidding and churn prevention to lifecycle marketing and advanced segmentation. 

Our approach is designed to fit directly within existing data infrastructures, avoiding unnecessary complexity and enabling faster activation cycles, so that insights can be operationalized immediately across channels such as paid media, CRM, and onsite experiences. 

At Booth D77, we’ll share practical examples and real use cases, showing how predictive signals can be embedded into everyday marketing workflows to support continuous optimization and more informed decisions. 

The discussion is particularly relevant for retailers, eCommerce players, and marketing and data teams looking to evolve their strategies, reduce inefficiencies, and build a more scalable and future-proof approach to data-driven growth, turning AI into a concrete driver of business impact rather than just an analytical layer.