Salesforce Certified Marketing Cloud Intelligence Accredited Professional – Complete Winter '26 Guide

Intelligence Platform Architecture

Marketing Cloud Intelligence (formerly Datorama) is the marketing analytics and reporting platform. Core concepts: Workspaces contain all data, dashboards, and configuration. Data Streams are the connections bringing data in (API connectors, file uploads, Marketing Cloud connector). The Unified Data Model harmonises data from multiple sources into a common dimension hierarchy: Campaign → Ad Set → Ad. All data is mapped to this model for cross-channel reporting.

Data Streams and Harmonisation

Data Streams ingest data from: Marketing Cloud Connector (email, journeys, social), API connectors (Facebook Ads, Google Ads, Salesforce CRM), file-based streams (CSV, FTP), custom streams. Each stream maps source fields to Intelligence dimensions (Campaign, Ad, Date) and metrics (Impressions, Clicks, Spend, Conversions). Harmonisation rules standardise naming and categorisation across sources. The exam tests how to configure a new data stream and resolve mapping conflicts.

Insights, KPIs, and Custom Metrics

Intelligence uses pre-built KPIs (Cost Per Click, Click-Through Rate, ROAS) and supports custom calculated metrics. Fusion Widgets combine metrics from different streams in a single chart. Anomaly Detection flags unusual metric movements. Goals allow planned vs actual comparison for budgets and KPIs. The exam tests how to create custom metrics using formulas, how fusion widgets work, and how to configure goal tracking.

Dashboards and Data Visualisation

Dashboards display widgets (charts, tables, scorecards, media widgets) in configurable layouts. Global Date Controls apply a shared date range to all widgets. Audience and dimension filters narrow dashboard scope. Widget-level filters override global filters. Sharing dashboards with external users uses the Public URL or embedded iFrame. The exam tests how to build a dashboard, configure cross-widget filtering, and share reports with stakeholders.

API Integration and Automation

Intelligence REST API allows external systems to push data, retrieve insights, and manage streams programmatically. Scheduled exports can push Intelligence data to external data warehouses. Zapier integration enables no-code triggers from Intelligence events. The exam tests basic API concepts — authentication, stream management via API, and how to automate data flows between Intelligence and other marketing systems.

Data Streams & Connectors

Know how to connect data sources using native connectors (Google Analytics, Facebook Ads, Marketing Cloud), API connectors, and file-based imports (CSV). Understand scheduled refresh and incremental load options.

Data Model & Harmonization

Understand the Intelligence data model: Streams, Total Metrics, Dimensions, and how to harmonize disparate data by mapping vendor-specific fields to a unified dimension (e.g., mapping 'Campaign' across platforms).

Model Builder

Know how to use the Model Builder to create calculated metrics (formulas), cross-stream joins, and custom dimensions. Understand the difference between Stream metrics and Total metrics.

Dashboard Design

Know how to create boards, widgets (bar charts, line charts, scorecards, pivot tables), and how to configure filters and date controls. Understand how to share dashboards with internal and external stakeholders.

Einstein Integration

Know how Einstein features in Intelligence (Einstein Insights, Anomaly Detection) analyze marketing performance data and how to configure alerts for KPI deviations.