How Agentforce Marketing and Data 360 Work Together
Most marketing platforms bolt a CDP on top. Agentforce Marketing builds from a different foundation entirely.
Most marketing platforms bolt a CDP on top. Agentforce Marketing builds from a different foundation entirely.
By Matthew Schultz, Senior Director, Product Marketing
Agentforce Marketing and Data 360 work as a single, integrated system built on a common data foundation, not connected by an afterthought integration. The Salesforce CDP (Data 360) is built directly into Marketing Cloud Next, functioning as the real-time engine that makes every AI-driven marketing action possible. That architectural reality changes what marketing teams can do, from real-time segmentation to cross-team coordination to paid media activation without third-party cookies.
Data 360 is the official new name for Data Cloud: same product, same capabilities, new name. Salesforce Data 360 is the #1 CDP that unifies customer profiles to power personalized, connected experiences and agents across the Salesforce platform. For buyers currently evaluating customer data platforms, the product they're assessing is Data 360. According to the State of Marketing report, 86% of marketers say AI is raising customer expectations. A shared, real-time data foundation is what makes meeting those expectations operationally feasible.
| Data 360 Capability | What it enables in Agentforce Marketing |
|---|---|
| Identity resolution | Unifies customer records across devices, channels, and touchpoints into one profile |
| Real-time unified profiles | Gives every Agentforce agent a current, accurate view of the customer at the moment of interaction |
| Zero Copy data access | Reads and activates data from Snowflake, Databricks, and Google BigQuery without moving it |
| Triggered flows | Initiates real-time marketing journeys based on data changes or customer signals |
| Data governance and consent | Enforces usage policies and consent preferences across every activation |
| Predictive insights | Generates AI-powered scores like propensity to buy and customer lifetime value |
| Advertising audience activation | Pushes first-party audiences directly to Google, Meta, Amazon Ads, LinkedIn, and The Trade Desk |
Data Cloud is now Data 360. Existing contracts and capabilities are honored through the current term. Customers can contact their account executive to discuss renewal and transition options.
The direct answer: Agentforce Marketing is the marketing execution layer. Data 360 is the CDP, and it serves as the foundation Agentforce Marketing runs on. Data 360 delivers full CDP capabilities, including identity resolution, audience segmentation, and cross-channel activation, and also provides unified customer and enterprise context for any AI agent across marketing, sales, service, and commerce — including Agentforce agents. That's a meaningful distinction from a standalone CDP purchase.
You'll notice that the AI agent support row is where Data 360 most clearly separates from standalone CDPs. CDPs store and route data. Data 360 activates that data through autonomous agents that take action in real time across every team.
| Category | CDP | Data 360 |
|---|---|---|
| Primary purpose | Central customer data store for marketing | Real-time data engine powering the full Salesforce platform |
| Who uses it | Marketing teams | Marketing, sales, service, and commerce teams |
| Identity resolution | Yes | Yes, across devices, households, and touchpoints |
| Audience segmentation | Yes | Yes |
| Activation channels | Email, paid media, web | Email, paid, web, mobile, AI marketing agents, and agent interactions |
| AI agent support | Limited or none | Powers every Agentforce agent across the platform |
| CRM connection | Usually via integration | Built natively into the Salesforce platform |
| Data warehouse integration | ETL pipelines required | Zero Copy, no data movement required |
Real-time coordination across teams used to require custom pipeline work. Here's how a single customer interaction moves through Data 360 into an Agentforce Marketing action, with no custom engineering required.
According to the State of Marketing report, 78% of marketers say they need more personalized content than they're able to produce. The scenario above shows what unified real-time data makes operationally feasible: the customer never repeats themselves. Every agent across marketing, sales, and service acts on the same truth.
The unified customer profile is a real-time view that spans marketing, sales, service, and commerce. Marketing knows what service resolved. Sales knows what marketing sent. Every agent acts on the same truth, at the same moment, without waiting for a nightly sync or a manual data pull. Three outcomes follow directly:
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Data 360's answer to data portability is architectural. According to the Agentic AI Snapshot: Business Data, 84% of US business leaders feel AI agents could make data more accessible. That accessibility starts with data that stays where it lives.
| External System | Integration Pattern |
|---|---|
| Snowflake | Zero Copy, data activated in place without ETL |
| Databricks | Zero Copy via Delta Sharing |
| Google BigQuery | Zero Copy |
| AWS S3 / Redshift | Zero Copy |
| Third-party apps | 200+ connectors via MuleSoft and APIs |
| Google, Meta, Amazon Ads, LinkedIn, The Trade Desk | Native activation connectors, first-party audiences with no third-party cookies |
| Segment | API and data pipeline |
Zero Copy means Data 360 reads and activates your Snowflake or Databricks data without copying it into Salesforce storage. Your data stays in your warehouse. No ETL pipelines to maintain, no data duplication, no compliance risk from movement. Your data warehouse is built for analysis — it tells you what happened. Salesforce Data 360 is built for action — it puts that insight to work in the moment, triggering the next best step. That distinction matters for buyers weighing whether AI agentic workflows require them to give up control of where their data lives.
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The Salesforce marketing and data platform has evolved significantly with Data 360 and Marketing Cloud Next. Understanding the current architecture helps buyers evaluate what's actually possible today versus what was true in earlier iterations.
Data 360's Zero Copy architecture operates alongside external data infrastructure, including Snowflake, Databricks, and BigQuery, without requiring data migration into Salesforce storage. This represents a composable integration pattern that preserves existing data warehouse investments while enabling real-time activation.
Marketing Cloud Next running natively on Data 360 creates a unified foundation where the data layer and marketing execution function as a single product. This architectural shift addresses the provisioning and connectivity challenges that existed in the classic Marketing Cloud implementation.
The current platform design reflects lessons learned from earlier feedback about complexity and integration overhead. Rather than requiring separate systems and custom connections, the unified architecture reduces the integration work that typically delays marketing activation while maintaining compatibility with existing data infrastructure.
The data architecture question isn't primarily a technical one. It's a question of what becomes operationally possible when every AI agent, every campaign, and every team acts on the same customer truth. Marketers who've built composable stacks have experienced the maintenance overhead and time-to-activation delays that come with connecting purpose-built tools. Data 360 built natively into Agentforce Marketing doesn't eliminate all complexity. Data modeling and initial setup still require investment, but it eliminates the category of integration work that most often delays activation. The same unified customer data that powers Agentforce Marketing powers every other Salesforce AI agent across sales, service, and commerce.
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Agentforce Marketing is the marketing execution layer. Data 360 is the CDP, built directly into Agentforce Marketing as its data foundation. Data 360 handles identity resolution, audience segmentation, and cross-channel activation, and also provides unified customer and enterprise context for any AI agent across marketing, sales, service, and commerce — including Agentforce agents.
Data Cloud and Data 360 are the same product. Salesforce rebranded Data Cloud as Data 360, retaining all existing capabilities. Existing contracts are honored through their current term.
Yes. Data 360 connects directly to Snowflake, Databricks, Google BigQuery, and AWS without duplicating or moving data. The Zero Copy architecture means your data stays in your warehouse while Data 360 activates it for segmentation, intelligent automation, and agent interactions.
Both resolve identities and build audiences. Data 360 goes further by serving as a live activation layer for agentic AI across the Salesforce platform. Segment stores and routes data. Data 360 puts that data to work — powering agents that take action across the platform the moment a customer signal arrives.
Yes. Data 360 connects to Snowflake, Databricks, Google BigQuery, and 100+ other sources without requiring data migration. Zero Copy lets buyers keep data in their existing warehouse and activate it directly. The 200+ connectors available via MuleSoft and APIs extend compatibility further.
Data 360's Zero Copy architecture is the direct answer to this concern. Data stays in your warehouse. You don't have to move or duplicate data to activate it through Agentforce Marketing. Existing data infrastructure and third-party tools continue to work alongside the platform.
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