Deploy in-session marketing to accurately predict purchase intent in real-time for both anonymous and known consumers. Boost revenue by significantly improving customer acquisition rates, sales of accessories, and value-added services.
You have to think big and really different. We’ve gone beyond thinking of digital as a channel and started thinking of digital as the backbone of our transformation strategy.
VP & Head of Digital at Verizon
No two visits are the same — each one has unique events (micro-behaviors) within individual sessions. ZineOne leverages artificial intelligence (AI) to learn from these micro-behaviors and create dynamic models using that data to enable in-session decisioning.
ZineOne doesn’t rely on third-party cookies, personal identifiable information (PII), IDFA, or User IDs to surface in-session actions. This lack of needed detail ensures that brands can continue to provide the personalization consumers expect without asking them to compromise their privacy or security.
ZineOne’s Customer DNA™ takes a visitor’s first five clicks to create AI-driven early purchase predictions. These purchase forecasts allow telecom companies to deliver tailored experiences to meet a consumer’s unique needs on a visit-by-visit basis.
Knowing consumer intent is just the start. Use ZineOne’s early purchase prediction models to micro-target groups of visitors in-the-moment, whether that be with social proof, promotional incentives, product add-ons, etc.