Question 1

What is NovaIQ?

Accepted Answer

NovaIQ is a predictive intelligence layer that estimates the probability of user actions in real time, improving every advertising and commerce decision it touches. It returns those probabilities to the systems that already make decisions, such as DSPs, ad servers, retail media platforms and recommendation engines.

Question 2

How is NovaIQ different from audience segments?

Accepted Answer

Segments describe audiences. NovaIQ estimates outcomes. Instead of grouping users into static buckets, it models behavior as a dynamic graph of users, items and context and predicts the probability of the target action for each user x item x context combination, so spend is allocated against expected outcomes rather than segment membership.

Question 3

What results does NovaIQ deliver?

Accepted Answer

NovaIQ's models reach 0.90+ ROC AUC, and 0.95+ ROC AUC on the public Criteo click-prediction dataset, versus the 0.70-0.85 typical of production ad-ranking systems. Observed outcomes include a 2.5x lift in click-through rate and a 20-40% improvement in return on ad spend against baseline ranking models.

Question 4

Does NovaIQ rely on third-party cookies or identifiers?

Accepted Answer

No. NovaIQ derives predictions from behavioral structure rather than individual identifiers, so its accuracy is resilient as third-party identifiers disappear.

Question 5

Who is NovaIQ for?

Accepted Answer

Advertisers, agencies, retail media networks, DSPs, ad servers, recommendation engines and commerce platforms that already have delivery infrastructure and want better allocation decisions inside it. NovaIQ is a prediction layer, not a media buying platform, creative tool or identity graph.