Features / Personalization
AI-driven personalization that adapts content in real time based on behavioral signals, user attributes, and contextual data. Built-in A/B testing with automated winner selection.
Personalization Engine
Combine behavioral data, user attributes, and AI to deliver personalized content experiences — without a separate personalization tool.
Track page views, scroll depth, click patterns, time on page, and return frequency. CuberIQ builds user profiles from real behavior — not guesswork — to power content decisions.
Define segments manually based on attributes and behavior, or let AI discover high-value segments automatically. Segments update in real time as user behavior changes.
CuberIQ's personalization engine matches content variants to audience segments using real-time signals. No manual rules required — the AI learns which content performs best for each audience.
Content adapts on the fly based on session behavior. A returning visitor sees different content than a first-time visitor. Geo-location, device type, and referral source all feed into targeting decisions.
A/B Testing
Run content experiments with built-in statistical rigor. No third-party testing tools needed.
Test 2+ content variants simultaneously with automatic traffic allocation
Built-in Bayesian calculations determine winners with configurable confidence levels
Optionally auto-promote the winning variant once significance is reached
Track conversions and revenue back to specific content variants
See how each variant performs across different audience segments
Schedule tests to start and end at specific dates for campaign alignment
How It Works
CuberIQ's personalization pipeline runs in real time at the edge, adding minimal latency to content delivery.
Behavioral events, device context, geo-location, and referral data are captured automatically on every page view.
User signals are matched against defined audience segments and AI-discovered cohorts in real time.
The personalization engine selects the highest-performing content variant for the matched segment.
Content is delivered at the edge. Engagement data feeds back into the model, continuously improving targeting accuracy.
See how CuberIQ's built-in personalization replaces standalone tools and manual targeting rules.