
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.
Explore the fundamentals and architecture of customer data platforms (CDPs), including data ingestion, profile unification, segmentation, prediction, and activation, with practical implementations for marketing, sales, and service.
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.
Drive digital transformation and overcome data silos by centralizing data in a CDP to enable data driven marketing, segmentation, personalization, and end-to-end journey optimization.
Discover how a CDP enables personalized recommendations, segmented marketing, and omnichannel experiences in retail, plus fraud detection, targeted offers, and risk assessment in finance and insurance.
Explore why insurance customers churn due to insufficient post-purchase engagement and lead follow-up, and learn proactive, personalized communication to boost retention and upsell opportunities.
Leverage a customer data platform as a single source of truth to consolidate data from purchase history for personalized engagement, and automate tasks to boost productivity in multi-channel journeys.
Compare how CDP, CRM, DMP, and DW differ in data scope, sources, usage, real time capabilities, and personalization to support marketing, sales, service, and audience segmentation.
Master the fundamentals of customer data management (CDM) and data types. Learn data collection methods and sources such as cookies, forms, surveys, and website interactions, plus governance and data quality.
Leverage first party data gathered directly from customers to understand behavior and engagement, enrich profiles with second party data, and use third party data judiciously with privacy regulations.
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.
Explore how a customer data platform ingests and unifies data from CRM, ERP, website analytics, and more to deliver real-time insights and personalized experiences.
Explore the capabilities of a customer data platform, including data ingestion and profile unification with deterministic and probabilistic matching, enabling unified customer views, segmentation, and personalized activation.
Delve into CDP segmentation and analytics, leveraging AI-driven prediction for precise customer targeting. Apply data collection and preparation, exploratory data analysis, segmentation, predictive modeling, and personalization to forecast behavior.
The course teaches activating customers using CDP core capabilities—messaging, personalization, cross-channel automation, analytics, BI, and data streams—to drive engagement, conversions, and loyalty across awareness to advocacy.
Assess goals and data needs to plan CDP implementation. Plan vendor selection, data mapping, governance, migration, training, and cross-system integration with marketing automation, CRM, and service desk tools.
Explore CDP needs for insurance by building a unified customer profile, enabling data integration, personalization, omnichannel engagement, automated workflow orchestration, with analytics and reporting, and scalable growth.
Explore how to use OKRs within a CDP to boost cross-platform user engagement, optimize lead collection, and re-engage users through personalized multi-channel messaging.
Enhance data collection and enrichment by increasing data points and sources, including real-time affiliated banks' data, CRM, and DWH, for unified insights and targeted activation.
Expand diversity across user journeys by mastering data segmentation. Segment by historical, contextual, behavioral, and custom and predictive criteria, including RFM, weather, location, and offline data to tailor marketing.
Activate customer data to personalize on-site experiences and automate journey stages from presales to follow-ups. Leverage lead scoring and automated SMS, email, and targeted messaging to boost engagement and conversions.
Activate data-driven engagement through gamification, surveys, ratings, and personalized product recognition, building retention and brand impact. Master A/B testing, email optimization, browse abandonment, and cold-to-hot prospect conversion.
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.
Learn to measure and optimize journey performance with real-time CDP reporting. Analyze conversion, engagement, retention, CLV, attribution, funnel, and channel performance to drive data-driven decisions.
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.
Explore how a customer data platform unifies marketing, sales, and customer service with martech tools, personalized campaigns, omnichannel engagement, and metrics like reach, click-through rate, and customer lifetime value.
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.