Netcomm Forum 2026
Bytek attended 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. At Booth D77, we shared a more advanced, data-driven approach to activating and scaling marketing strategies.
During the event, we focused on how to move beyond fragmented data and disconnected touchpoints by building a consistent data foundation capable of bringing together CRM, web, app, and transactional signals into a unified layer ready for analysis and activation, enabling teams to work on a clearer and more reliable view of their customers. On top of this, we showed how our predictive models can help companies shift from reactive logic to forward-looking decision-making by identifying not just what users have done, but what they are likely to do next and how much value they can generate over time. This makes it possible to guide targeting, personalization, and budget allocation with greater precision.
The result is 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 was presented as a way 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 shared 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 proved 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.
