Overview
KET ASPECTS OF HCL UNICA+:
AI-first Platform: It uses AI to understand customer intent, anticipate needs, and turn interactions into strategic opportunities. This includes an integrated model workbench, Agentic AI automation, and GenAI-driven recommendations.
Data-driven by Design: The platform is built on AI to provide marketers with insights into customer intent, enabling them to create, optimize, and scale campaigns efficiently.
Hyper-personalized Engagement at Scale: HCL Unica+ dynamically tailors messages based on customer behavior and journey, delivering relevant messages at the right time through the right channel, leading to higher engagement and conversion rates.
The platform features a modern user interface and integrates predictive, generative, and agentic AI models, including:
AI Agents: Insights Agent, Segmentation Agent, and Content Optimizer Agent to provide data-driven insights, automate targeting, and personalize messaging.
AI Applications: MaxAI Assistant (for real-time decisions), MaxAI Workbench (for building predictive models), and Real-time Personalization (for hyper-relevant engagement).
AI Foundations: Customer One-View (uniting event stream data), Digital Body Language (capturing unique signals), and Privacy and Compliance (with AI-powered governance).
Highlights
- AI-First: Reveal deeper customer context and unlock new insights
- Data-driven by Design: Create, optimize and scale campaigns with minimal effort
- Hyper-Personalized Engagement at Scale: every interaction feels personal, not programmatic.
Details
Unlock automation with AI agent solutions

Features and programs
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Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Software License | By subscribing you are not purchasing but requesting more information | $175,000.00 |
Vendor refund policy
HCL Software does not offer a refund to clients accepting a Private Offer to purchase HCL Marketing Cloud/HCL Unica
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Support
Vendor support
Support Contact: Naveen Grover Support Contact eMail: naveen.grover@hcl-software.com Support Contact Telephone: +1 833 275 7101 Support Link:
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