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What Is Datorama (Marketing Cloud Intelligence)?

Salesforce Marketing Cloud Intelligence (formerly Datorama) unifies marketing data across ads, web, email, CRM, and commerce to deliver trustworthy dashboards, automated insights, and governed KPIs that tie spend to pipeline and revenue.

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Datorama/Marketing Cloud Intelligence (MCI) is Salesforce's analytics platform for marketers. It ingests and harmonizes data from hundreds of sources, applies data models and taxonomy for apples‑to‑apples KPIs, and delivers dashboards, alerts, and AI insights. Teams use MCI to answer: Where is spend going? What is working by channel, campaign, audience, and creative? How does this impact pipeline, bookings, and LTV?

Why Marketers Choose Marketing Cloud Intelligence

Unified Connectors — Ingest media, web analytics, MAP/CRM, e‑commerce, and offline data with governed credentials and schedules.
Data Harmonization — Map disparate fields to a common taxonomy (channel, campaign, tactic, audience, creative) for consistent KPIs.
Dashboards & Studio — Build executive scorecards and analyst views with drill‑downs, filters, and role‑based access.
AI Insights — Surface anomalies and optimization ideas with automated outliers, pacing, and contribution analysis.
Revenue Attribution — Blend spend with CRM opportunities for funnel views: impressions → clicks → leads → pipeline → revenue.
Governance — Versioned dataflows, QA checks, naming standards, and scheduled refresh windows to keep trust high.

The MCI Implementation Playbook

Use this sequence to stand up reliable marketing analytics that executives trust and practitioners use daily.

Discover → Model → Ingest → Harmonize → Visualize → Govern → Optimize

  • Discover KPIs & taxonomy: Define channels, campaigns, tactics, audiences, and offer naming. Lock a shared KPI catalog.
  • Model the data: Determine grain (daily/campaign/creative), keys, and joins; design lookup tables for channels and costs.
  • Ingest sources: Configure connectors for ads, analytics, MAP/CRM, and offline files; schedule loads and backfills.
  • Harmonize & QA: Map fields to the taxonomy, dedupe campaigns, enforce required fields, and validate totals vs. source systems.
  • Visualize: Build executive and practitioner dashboards with filters, drill‑throughs, and exportable views.
  • Govern: Access controls, refresh SLAs, change management, and data quality monitors with alerting.
  • Optimize: Add anomaly detection, pacing alerts, and budget reallocation workflows tied to pipeline and revenue.

Marketing Cloud Intelligence Maturity Matrix

Capability From (Ad Hoc) To (Operationalized) Owner Primary KPI
Data Ingestion Manual exports, spreadsheets Automated connectors and SFTP pipelines with refresh SLAs Marketing Ops / RevOps Data Freshness, Failure Rate
Taxonomy & Mapping Inconsistent names by team Governed channel/campaign/creative taxonomy with validation RevOps / Analytics Mapping Coverage, QA Pass %
Attribution Clicks only Multi-touch with CRM pipeline & revenue alignment Analytics ROMI, Cost per Opportunity
Dashboards One-off PowerPoints Role-based dashboards with drill‑downs and alerts Marketing Ops Adoption, Decision Cycle Time
Governance Tribal knowledge Version control, change logs, and access policies IT / Security / RevOps Audit Pass, Incident Count
Optimization Reactive reporting Proactive insights & budget reallocation workflows Marketing Leadership Pipeline Lift, Revenue Impact

Client Snapshot: A Single Source of Truth for Spend → Pipeline

After standardizing taxonomy and automating connectors, a B2B SaaS company eliminated 12 hours/week of manual reporting and reallocated 18% of media to high‑ROMI campaigns, growing sourced pipeline without increasing spend. Explore results: Comcast Business · Broadridge

Pair MCI with RM6™ and The Loop™ to connect channel performance to forecastable pipeline and revenue.

Frequently Asked Questions about Datorama / Marketing Cloud Intelligence

Is Datorama the same as Marketing Cloud Intelligence?
Yes. Datorama was rebranded as Salesforce Marketing Cloud Intelligence (MCI). The platform provides data ingestion, harmonization, dashboards, and AI‑driven insights purpose‑built for marketing.
Which data sources connect to MCI?
Major ad platforms (Google, Meta, LinkedIn, etc.), analytics (GA4), marketing automation and CRM (Marketing Cloud, HubSpot, Salesforce), e‑commerce, and offline files via SFTP or APIs.
How does MCI support attribution?
It blends cost and engagement with CRM opportunity data for funnel reporting and can support multi‑touch models to show impact on pipeline and revenue.
Who should own MCI?
Marketing Operations with partnership from RevOps/Analytics for data modeling and IT/Security for governance.
How long does implementation take?
Timelines vary by scope and data quality. A phased approach—connectors, taxonomy, core dashboards, then attribution—reduces risk and accelerates value.

Operationalize Marketing Intelligence

Stand up trusted dashboards, connect spend to pipeline, and govern your taxonomy so every team runs on the same numbers.

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