Data Cloud for Marketing: Segmentación en Tiempo Real

Marketing Cloud Next cambia radicalmente el paradigma de datos: en lugar de duplicar tablas en Data Extensions tradicionales, se apoya en Data Cloud como motor unificado de identidad, streaming data y segmentación multidimensional en tiempo real.

📌 CONCEPTO CLAVE · MC NEXT

Data Cloud unifica perfiles (Unified Individual) con Identity Resolution rules. Las audiencias creadas aquí se activan de forma instantánea hacia Journey Builder, Marketing Cloud Growth o canales publicitarios sin necesidad de Query Activities complejas en Automation Studio.

01 · ARQUITECTURA DE DATOS: DMO vs DATA EXTENSION

En MC Next trabajamos con Data Model Objects (DMOs) estándar como UnifiedIndividual__dlm, SalesOrder__dlm o WebEngagement__dlm.

Data Cloud · Calculated Insight SQL

/* Calculated Insight: CLV y RFM en Data Cloud */
SELECT
  ssot__Individual__dlm.ssot__Id__c AS CustomerId__c,
  SUM(ssot__SalesOrder__dlm.ssot__GrandTotalAmount__c) AS LifetimeSpend__c,
  MAX(ssot__SalesOrder__dlm.ssot__PurchaseOrderDate__c) AS LastPurchaseDate__c,
  COUNT(ssot__SalesOrder__dlm.ssot__Id__c) AS OrderCount__c
FROM ssot__Individual__dlm
JOIN ssot__SalesOrder__dlm 
  ON ssot__Individual__dlm.ssot__Id__c = ssot__SalesOrder__dlm.ssot__SoldToCustomerId__c
GROUP BY ssot__Individual__dlm.ssot__Id__c

02 · ACTIVACIÓN DIRECTA A ENGAGEMENT & GROWTH

Al crear un Segment Target en Data Cloud, puedes activar atributos directos y métricas calculadas (Calculated Insights) hacia Marketing Cloud Engagement como Data Extensions sincronizadas o disparar flujos basados en eventos de streaming (Data Cloud Triggered Flows).

⚡ PRO TIP

Utiliza Data Graphs en Data Cloud para empaquetar perfiles con todos sus datos relacionados (pedidos, carritos, preferencias) en un único objeto optimizado para personalización ultrarrápida.

Marketing Cloud Next fundamentally evolves the data architecture: rather than syncing and duplicating tables into traditional Data Extensions, it leverages Data Cloud as the real-time unified identity and multidimensional segmentation engine.

📌 KEY CONCEPT · MC NEXT

Data Cloud creates a Unified Individual through Identity Resolution. Audiences created here activate instantly to Journey Builder, Marketing Cloud Growth, or Ad networks without complex SQL Query Activities in Automation Studio.

01 · DATA ARCHITECTURE: DMO vs DATA EXTENSION

In MC Next we work with standard Data Model Objects (DMOs) such as UnifiedIndividual__dlm, SalesOrder__dlm, and WebEngagement__dlm.

Data Cloud · Calculated Insight SQL

/* Calculated Insight: CLV & RFM in Data Cloud */
SELECT
  ssot__Individual__dlm.ssot__Id__c AS CustomerId__c,
  SUM(ssot__SalesOrder__dlm.ssot__GrandTotalAmount__c) AS LifetimeSpend__c,
  MAX(ssot__SalesOrder__dlm.ssot__PurchaseOrderDate__c) AS LastPurchaseDate__c,
  COUNT(ssot__SalesOrder__dlm.ssot__Id__c) AS OrderCount__c
FROM ssot__Individual__dlm
JOIN ssot__SalesOrder__dlm 
  ON ssot__Individual__dlm.ssot__Id__c = ssot__SalesOrder__dlm.ssot__SoldToCustomerId__c
GROUP BY ssot__Individual__dlm.ssot__Id__c

02 · DIRECT ACTIVATION TO ENGAGEMENT & GROWTH

When creating a Segment Target in Data Cloud, you can activate direct attributes and Calculated Insights metrics directly into Marketing Cloud Engagement as auto-refreshed Data Extensions or fire Data Cloud Triggered Flows.