What Is Agentforce Analytics? Salesforce’s Next-Gen Marketing Intelligence Platform

In March 2025, Salesforce introduced Marketing Intelligence, a groundbreaking analytics platform designed for the Agentforce times. This tool redefines how marketers handle data, attribution, and return on marketing investment (ROMI), not just by enhancing visibility, but by fundamentally transforming the role of marketing intelligence across teams.

Built on the Salesforce Core Platform, and powered by Agentforce, Data Cloud, and Tableau Next, Marketing Intelligence goes far beyond dashboards. It aims to shift the focus from building Agentforce analytics reports to generating real-time, actionable insights using natural language, AI, and unified data pipelines.

This blog breaks down the key features, implementation context, and adoption challenges helping teams understand how to make the most of this new tool within the Salesforce ecosystem.

Why Was a New Analytics Tool Needed?

Marketing Intelligence is not a rebrand or an extension of existing tools like Tableau, CRM Analytics, or Marketing Cloud Intelligence. It’s an entirely new platform designed to solve a persistent challenge: unifying fragmented first-party and third-party data to deliver true end-to-end attribution

Key Problems It Solves:

• Data silos across ad platforms, CRM, and customer journey data
• Manual reporting processes and spreadsheet-based ROMI models
• Lack of real-time, AI-powered campaign optimization
• Complexity in ingestion and mapping of diverse marketing data sources

According to Salesforce’s State of Marketing Report 2024, marketers are now prioritizing pipeline visibility, integrated attribution, and efficiency—all of which Marketing Intelligence directly addresses.

Core Architecture of Salesforce’s Marketing Intelligence Platform

Marketing Intelligence is built on Salesforce core and Agentforce. Marketing Intelligence is deeply integrated into Salesforce’s infrastructure. Here's how each layer contributes:

• Hyperforce: Delivers scalable, cloud-native performance
• Data Cloud: Enables real-time data ingestion and unification
• Tableau Next: Provides next-gen visual dashboards with smarter filtering
• Agentforce: Drives autonomous, AI-powered orchestration with proactive insights

This architectural fusion allows users to surface insights directly within Salesforce, eliminating context switching and improving collaboration across marketing, sales, and finance teams.

What Are the Key Features of Marketing Intelligence Platform?

Salesforce’s Marketing Intelligence platform introduces several unique capabilities that go beyond standard dashboards or reporting tools. Rather than just showing what’s happening, it’s built to simplify ingestion, unify data, automate analysis, and enable one-click campaign actions all within the Salesforce ecosystem. Here’s a quick look at the standout features that make this platform purpose-built for modern, high-performance marketing teams.

1. Data Pipelines for Seamless Ingestion

Marketing Intelligence introduces Data Pipelines, a tailored ingestion framework that simplifies mapping and transformation of external marketing data. Unlike generic data integration tools, Data Pipelines are optimized for marketing data schemas, particularly campaign-based models (vs. Data Cloud’s individual-centric approach).

This significantly reduces the manual effort required to clean and normalize incoming data streams from ad platforms, web analytics, and offline channels.

2. Unified View: Paid Media Meets CRM

Using Total Connect, marketers can integrate data from platforms like Meta and Google Ads (with more connectors coming in FY26). These connectors automatically map data fields to Salesforce’s marketing data model and recommend templates for faster onboarding.

This means marketers can finally see campaign-to-revenue attribution in a unified view—connecting ad impressions to CRM-qualified leads and closed deals, all in one platform.

3. Agentforce-Powered Automation and Enrichment

Agentforce enables a completely new interface paradigm: analytics by conversation. Users can describe reporting requirements in natural language, and the system will:

• Build dashboards
• Generate performance summaries
• Suggest optimizations (e.g., pausing low-performing ads)

Additionally, Agentforce enriches incomplete datasets by applying generative AI to extrapolate missing attributes, harmonize naming conventions, and establish campaign taxonomies from unstructured data like UTM parameters.

4. Built-In Attribution and ROMI Models

Traditionally, building attribution models across multiple channels required stitching together siloed tools and custom SQL. Now, Marketing Intelligence offers out-of-the-box attribution and ROMI modeling by leveraging Salesforce CRM and Data Cloud signals.

With just a few configuration steps, marketers can understand:

• Multi-touch attribution paths
• Cost-to-revenue relationships
• Campaign performance across lifecycle stages

These models support both rule-based and predictive attribution, helping teams move from reporting to decision-making at scale.

5. From Insight to Action in One Click

Unlike previous dashboards that required marketers to switch platforms to act, Marketing Intelligence integrates ad orchestration capabilities directly into Salesforce. Marketers can:

• Adjust bids and budgets from within dashboards
• Pause or promote ad sets based on real-time performance
• Automate campaign changes via Agentforce rules

This tight coupling between insight generation and execution closes the gap that has historically plagued marketing ops teams.

Pricing and Adoption Considerations

Salesforce has confirmed that Marketing Intelligence will use a consumption-based pricing model, similar to Data Cloud. While flexible, this model raises concerns around cost spikes from high-volume data sources, such as Google Analytics or advertising event streams.

Salesforce is reportedly evaluating whether Data Pipelines will have separate consumption tiers to make the platform more economical. Current CRM Analytics and Marketing Cloud Intelligence users aren’t affected in the short term, but Salesforce has hinted at free trial SKUs and side-by-side deployment options for smooth transitions.

What This Means for the Broader Analytics Ecosystem?

Salesforce has emphasized that this is not a replacement for Tableau or CRM Analytics (yet), but rather a purpose-built tool for modern marketing teams that need speed, scale, and intelligence.

Whether Marketing Intelligence becomes the new standard in the Salesforce analytics stack depends on:

• How quickly enterprise users can adopt the platform without re-architecting data flows
• How accessible and affordable it remains for mid-market customers
• How well Agentforce continues to evolve in generating human-grade, autonomous insights

Quick Recap: What Makes Agentforce Analytics Different?

Empowering Marketing Teams with Agentforce Analytics

Agentforce Analytics, embodied in Marketing Intelligence, represents a fundamental leap forward. It doesn't just help marketers see what happened; it helps them understand why it happened and what to do next all in one unified, AI-driven experience.

For organizations and teams seeking cross-channel visibility, automated recommendations, real-time campaign control and more integrated marketing decisions, this platform could simplify daily operations significantly. Talking to a trusted Salesforce Agentforce implementation partner can bring faster and effective results. Connect with us today!

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