HCL Customer Data and Experience Platform (CDP) is a powerful, AI-driven platform that unifies customer data across channels to deliver real-time, actionable insights. Designed for enterprise scale, it enables hyper-personalized engagement, predictive analytics, and seamless integration with your existing MarTech stack.

System requirements and compatibility for HCL CDP. Also learn about the supported browsers and minimum resolution for the service.

In this release, we have introduced some new features, and we have made changes to some existing features or functionality.

Guidelines for Efficiently Resolving Issues with HCL Technical Support.

This section details the installation and deployment of the services and components required for deploying HCL CDP (Customer Data Platform) on the Red Hat OpenShift platform.

This section details the installation and deployment of the services and components required for deploying HCL CDP (Customer Data Platform) on the AWS platform.

This section details the upgrading HCL CDP platform on the Red Hat OpenShift platform.

This section provides an overview of how to create, on-board, and manage tenant accounts effectively. You will also learn how to enable channels and modules for each tenant, ensuring they have the necessary tools and functionalities to maximize their experience within the CDP.

After onboarding the tenant account, enable or disable modules required for the tenant based on the proposed contract.

After onboarding the tenant account, enable or disable specific API(s) (External API, Journey API), based on the services agreed upon in the contract..

To support enhanced user profile enrichment across the platform, both Pixel Listener and DI API data sources must be configured to accept and map key identity and demographic attributes. This section ensures consistent and accurate user data updates within the profile system for each campaign.

This page talks about the importance of CDP and its benefits.

This page introduces Customer One View, a feature designed to provide a comprehensive analysis of customer traits, actions, and engagement history for enhanced understanding and efficiency.

Overview of supported channels in HCL CDP and core elements used during campaign setup.

This page provides a detailed explanation of segments, their use cases, and types in the HCL CDP Marketing Automation platform. Segments allow marketers to automate user targeting, reduce manual errors, and drive higher conversions through precise audience categorization.

Data Pipeline enables seamless data flow by managing events, integrating data sources, and configuring destinations for unified and actionable customer insights.

This page explains how CDP integrates with Google Ads and Facebook Ads to collect, process, and display social media performance metrics.

This page explains how to write effective prompts, from basic filters to advanced segmentation logic used within the Unica Platform to create CDP segments.

This page explains the purpose of the dashboard and its benefits.

Developer APIs provide a comprehensive suite of tools for data retrieval, submission, and processing to support seamless integration and customization.

This page explains how to configure Journey integration in HCL CDP to transfer the user profile to Unica Journey account.

This topic describes how to integrate HCL Discover with HCL CDP using the Data Ingestion API (DIAPI).

This page outlines the MaxAI integration, featuring AI-powered components to enhance customer targeting, optimize communication channels and timing for improved marketing performance.

This page talks about how to configure product labels.

This page explains how to configure Frequency Caps to limit user communications and prevent message overload.

This page explains how to configure contacts.

This page explains how to configure HCL link connectors with CDP.