Why Did Salesforce Rebuild Marketing Cloud on Agentforce?
Short answer: to unify data, AI, and trust on one platform. Agentforce brings Marketing Cloud onto the Einstein 1 + Data Cloud foundation so teams can orchestrate journeys with safe, governed AI agents, real-time data, and open extensibility across sales, service, and commerce.
Salesforce rebuilt Marketing Cloud on Agentforce to make AI-native, data-complete, and trust-first marketing possible. The new foundation centralizes profiles in Data Cloud, powers cross-cloud coordination with Einstein 1, and introduces governed AI agents that can plan, create, and optimize journeys while honoring consent, security, and audit. Net: fewer silos, faster time-to-value, and measurable growth with safety and scale.
5 Reasons the Rebuild Unlocks More Value
What Changes for Modern Marketing Teams?
Move from channel-by-channel tools to an agentic, data-complete system that plans, executes, and learns—across the customer lifecycle.
Define → Connect → Orchestrate → Optimize → Govern
- Define value paths: Map growth motions (acquire, onboard, expand, retain) to metrics and approvals.
- Connect data: Resolve identity, ingest events, and align consent/taxonomy in Data Cloud.
- Orchestrate with agents: Agentforce proposes audiences, content, channels, and timing with human-in-the-loop controls.
- Optimize continuously: Test offers and journeys using real outcomes (pipeline, revenue, renewals), not just clicks.
- Govern at scale: Roles, review flows, PII rules, and content reuse ensure safety and efficiency.
Capability Maturity on Agentforce
| Capability | From (Legacy) | To (Agentforce) | Owner | Primary KPI |
|---|---|---|---|---|
| Identity & Consent | Channel lists & cookie banners | Unified profile with purpose-based consent & lineage | RevOps/Privacy | Reachable audience, audit pass |
| Segmentation & Triggers | Batch jobs and static segments | Real-time segments and event triggers | Marketing Ops | Conversion lift, time-to-trigger |
| Content & Journeys | Manual builds | Agent-generated drafts with approvals & reuse | Marketing + Brand | Throughput, QA pass rate |
| Measurement | Click metrics | Revenue, pipeline, retention, and service outcomes | Analytics | ROMI, CAC:LTV |
| Governance | Ad hoc reviews | Policy-driven approvals, content lineage, role controls | Compliance/IT | Policy exceptions, cycle time |
Client Snapshot: From Siloed Journeys to Agentic Growth
After consolidating audiences in Data Cloud and rolling out agent-assisted journeys, a B2B team cut build time by half and improved qualified pipeline attribution—while keeping consent and content approvals intact. See how transformation frameworks guide change: RM6™ · The Loop™
Ready to map your migration path from legacy tooling to Agentforce? Start with value streams, audiences, consent, and the first set of high-impact plays—then scale with governed AI.
Frequently Asked Questions
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We’ll align value paths, unify data & consent, and stand up agent-assisted journeys tied to revenue outcomes.
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