Immersive Marketing

Use VR, AR, haptics, and AI to create engaging, personalized immersive marketing experiences.

Business impact

• Conversion Rate — Improved by enabling interactive, realistic product experiences that drive purchases
• Customer Engagement — Boosted through multi-sensory, personalized brand interactions increasing time spent
• Sales Cycle Length — Shortened by allowing customers to virtually experience products before buying
• Purchase Intent — Raised by AR/VR visualization and AI-driven personalized recommendations
• Online Sales — Increased via immersive try-ons and haptic feedback enhancing confidence to buy
• Brand Loyalty — Strengthened through memorable, gamified, and interactive marketing environments
• Customer Retention — Improved by creating engaging experiences that encourage repeat interactions
• Marketing ROI — Enhanced by higher engagement and conversion from immersive campaigns

Data requirements

• User Interaction Data (Structured) — Tracks engagement and preferences to personalize experiences
• 3D Product Models (Image) — Used to create realistic virtual representations for AR/VR environments
• Sensor and Haptic Feedback Data (Numeric) — Enables tactile simulation enhancing immersion
• Customer Demographics and Behavior (Structured) — Supports AI personalization and targeted marketing
• Audio and Spatial Data (Audio) — Creates immersive soundscapes for full sensory engagement
• Textual Feedback and Reviews (Text) — Informs AI models for improving content and experience relevance

AI methods and techniques

• Predictive AI — Forecasts user preferences to tailor immersive content dynamically
• Generative AI — Creates personalized virtual environments and interactive elements
• Agentic AI — Manages real-time interactions and adapts experiences autonomously

AI models and model families

GPT-4, Claude, Llama 2, OpenAI Codex

Industries

Real-world evidence

4 documented case studies on record.

Companies using this: BMW, IKEA, L Or, Yambo.