
Master core CDP concepts and implementation across marketing, sales, and customer service, including data types, governance, ingestion, profiling, segmentation, prediction, and activation for personalized customer experiences.
Understand what a customer data platform (CDP) is, why it matters for business operations, and how it unifies data to boost marketing, sales, and customer service.
Explore data collection methods and sources, from online surveys and website analytics to transaction and purchase data, with data quality and governance ensuring accuracy and compliance.
Identify the leaders highlighted in the 2023/2024 CDP rankings across Gartner's Magic Quadrant, Forrester, IDC, and G2, including Salesforce, Treasure Data, Adobe, Tealium, Oracle, and Insider.
Leverage a customer data platform to unlock customer insights, build detailed profiles, and design personalized marketing campaigns across segments, while measuring ROI and optimizing with A/B testing.
Summarize the core foundations of the customer data platform, including data ingestion and profile unification. Note segmentation, prediction, activation, and CDM and data quality aspects driving marketing, sales, and service.
*This course contains the use of artificial intelligence.*
Unit 1. Introduction to Customer Data Platforms (CDPs)
●Defining Customer Data Platforms and their significance in modern business operations.
●Exploring the importance of CDPs in addressing business objectives and overcoming challenges.
●Examining use cases of CDPs across various industries.
●Identifying key success factors in the implementation of CDPs.
●Discussing strategies for delivering quality customer experiences and understanding customer churn.
●Maximizing Customer Engagement with Automation solutions in CDP
●The Comparison among CDP, CRM, DMP, DWH
Unit 2. Fundamentals of Customer Data Management
●Understanding the basics of Customer Data Management (CDM) and its role in CDPs.
●Differentiating between first-party, second-party, and third-party data.
●Exploring various data collection methods and sources.
●Addressing data quality and governance considerations in CDP implementations.
Unit 3. Components of a Customer Data Platform
●Analyzing the architecture and data flow of a Customer Data Platform.
●Exploring core capabilities such as data ingestion, profile unification, segmentation, prediction, and customer activation.
●Understanding profile unification techniques, including deterministic and probabilistic data unification.
●Detailing segmentation and prediction strategies within CDPs.
●Examining customer activation processes to engage users throughout their journey.
Unit 4. Implementing a Customer Data Platform
●Planning and executing CDP implementations to meet organizational needs and goals.
●Setting objectives and key results (OKRs) for CDP implementations.
●Exploring use cases specific to the insurance customer journey.
●Strategies for increasing data collection, including leveraging affiliated banks and online/offline channels.
●Understanding data ingestion processes and publishing data as a service.
●Overviewing data sources from core systems, and how does it feed data into insurance databases.
●Building customer segmentation and activating customers through on-site promotion and automation.
●Name of CDP Leaders in the 2023-2024 Gartner Magic Quadrant, Forrester, IDC, G2
Unit 5. Leveraging CDPs for Marketing
●Exploring the role of CDPs in marketing, sales, and customer service operations.
●Deep diving into MarTech tools, key metrics, and factors for marketing success.
●Analyzing SalesTech tools, key metrics, and factors driving sales performance.
●Understanding customer service tools, key metrics, and factors for delivering exceptional service.