Real-time intelligence for human-first personalization
Turn Behavioral Understanding into Dynamic, Personalized Customer Engagement
Interaction Science goes beyond traditional behavioral analytics by continuously learning from live interaction data and applying human behavioral insights to personalize each engagement.
The Interaction Science Module models the unique behavioral signature of each user, determines intent, emotional state, and interaction history, then adapts the next best action instantly.
Whether it’s guiding a customer through onboarding, triggering a relevant offer, or recognizing frustration in tone or behavior – the system adapts in the moment, not after the fact.
Turn AI and behavioral science into adaptive engagement logic
Shape Live Interactions with Evolving Models that Respond to Behavior, Emotion, and Feedback
Recognize shifts in emotional state across touchpoints and personalize the experience accordingly. This capability enables brands to detect moments of confusion, frustration, excitement, or hesitation, and adapt the interaction instantly to meet the customer where they are emotionally.
- Adjust message tone and content in real time
- Identify early signs of disengagement or frustration
- Trigger support or empathy-based interventions
- Optimize outcomes through sentiment modeling
Classify customer interaction styles and adjust engagement strategies for better resonance. This allows businesses to deliver interactions that feel intuitive and relevant, increasing the likelihood of meaningful engagement.
- Use spend and interaction behavior to define personalities
- Tailor offers and journeys to individual styles
- Guide tone and message length preferences
- Adjust frequency and cadence by profile
Create personalized responses and content using built-in generative AI. This makes it possible to automate tailored communications at scale without sacrificing accuracy or brand tone.
- Automatically draft unique offers and messages per user
- Incorporate fact-injection for compliant, contextual accuracy
- Adapt tone, format, and content structure dynamically
- Scale content creation without losing personalization
Run always-on tests to refine what works per user and situation. This ensures that engagement strategies are not static, but evolve based on actual outcomes and user feedback.
- A/B test incentives, formats, timing, and channels
- Deploy multivariate experiments with minimal setup
- Learn from interaction outcomes to auto-optimize flows
- Feed experiment results back into the model in real time
Track and evolve behavioral understanding across time and context with Interaction Personality. This creates a persistent interaction memory that helps shape increasingly relevant and personalized future engagements.
- Capture cross-session behavior and preference signals
- Update user interaction profile continuously
- Personalize across all engagement points
- Guide strategic actions based on interaction trajectory
Built-in behavioral intelligence, fully configurable
Interaction Science is delivered through ecosystem.Ai’s Prediction Platform, where behavioral models, message strategies, and real-time decisioning can be configured by business users.
The Module supports live data ingestion, segment creation, experimentation, and generative message generation. It can be combined with any of the ecosystem.Ai Modules for AI-driven intelligence.
Through the Workbench, teams can visualize outcomes, test hypotheses, and inject behavioral strategies across any inbound or outbound interaction.
