TAM Pit Stop | Episode #01

00:00 - Introduction and Round Table The session begins with introductions from the team, including Brandon Walton, Ken Stouffer, Bernie Jacobs, Jacqueline Orallo, and Claudia Hoops.
02:44 - Introducing the "Pit Stop" Format François Perret introduces the new "Pit Stop" format, which aims to answer three key questions about Marketing Cloud Next in a concise, 30-minute discussion.
03:25 - Deep Dive into the Unified Individual The team addresses the first question: how to tailor the "Unified Individual" for specific use cases and set up custom fields to be used as merge values in emails.
05:03 - Identity Resolution and Data Mapping A detailed explanation of how Data Cloud synchronizes objects, maps them to an individual data model, and uses identity resolution to create a "Unified Individual".
10:14 - Understanding Data Graphs The discussion shifts to how data graphs are used to unlock additional data points and fields for personalization and segmentation within Marketing Cloud Next.
11:12 - Segmentation Best Practices The team covers the second question regarding dynamic segmentation, including best practices and potential pitfalls.
19:53 - Credit Consumption and Performance François discusses the "black box" of credit consumption in Data Cloud, advising viewers to start with simple data models to manage costs effectively.
23:14 - Dynamic Content in Email Builder The final topic covers how to implement dynamic content directly within the email builder using variations based on data graph attributes.
31:12 - Dynamic Segments vs. Regular Segments A technical breakdown of the differences between dynamic segments (often triggered by flows) and standard segments based on data models.
40:32 - Automation Events and Triggered Flows The session concludes with a look at how automation events, such as an abandoned cart, can trigger personalized flows and emails.