What's New in HCL CDP

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

The following list mentions the new features, and the changes to existing features, in HCL CDP 12.1.10:

Segment Retargeting

This feature enables users to define meaningful queries across various data sources to identify specific customer groups for targeted campaigns. The segmentation tool allows users to build queries by selecting fields, functions, operators, and values. Users can combine multiple criteria using logical operators such as AND and OR to create complex customer segments, including the following:

  • Demographics
  • Customer behavior
  • Conversions
  • Transactions

This update helps you target specific audience groups more effectively.

Password Reset Policy Settings

You can now configure a password reset policy by setting the number of days before users must change their passwords. When a password expires, users are redirected to the password reset page. Use this feature to align password policies with your organization’s security requirements.

CDP Integration with Keycloak

Introduced support for single sign-on (SSO) using Keycloak through a federation mechanism. Users can now sign in using their LDAP or AD credentials, improving authentication and user management across systems.

User List Enhancements

The User list view now includes additional user activity details, such as, Last login and Last password reset. You can also export these details to a .csv file for reporting or auditing purposes.

MAX AI Integration

Introducing MAX AI integration, enabling the use of in-house AI/ML models to train, predict, and recommend both the best communication channel and the optimal time to reach each customer. As part of this release, introducing two key models: Next Best Channel (NBC) and Send Time Optimization (STO).

Next Best Channel (NBC) Model

Leverage AI-driven channel affinity predictions to identify the most effective communication channel for each customer. Improve engagement by dynamically selecting the preferred channel such as email, SMS, WhatsApp, ATM-CP, or others, based on past interactions and customer behavior.

Send Time Optimization (STO) Model

Predict the optimal time to engage each customer to maximize response rates and improve conversions. Use historical interaction data to automatically schedule outreach at the most effective moment.

Enhanced Segmentation & Predictive Analytics

Target customers using AI-driven insights to enable data-backed campaign decisions. Improve the customer experience by ensuring messages reach users when and where they are most likely to engage.

SST Enhancement via APIs

Introduced seamless SST process integration through APIs. These APIs offer endpoints to manage tenant data dictionaries and data source mappings, supporting operations such as creating, updating, retrieving, and deleting entries and mappings.