Dreamforce 2025 key takeaways
Salesforce Marketing Cloud Next and the rise of marketing agents
Dreamforce 2025 has confirmed that Salesforce is fully committed to the vision of the Agentic Enterprise. Salesforce Marketing Cloud Next is at the centre of this transformation.
For marketing, that focus is on empowering marketers with AI-driven agents that deliver personalisation, efficiency, and measurable business impact at scale.
Go back 23 years ago to the slide deck, it’s not the same show, it’s not the same product line, it’s not the same set of customers. It has gone forward.
The key thing for us is we’re constantly bringing this new technology in and then adapting it for our customers so that they can be successful.
Marc Benioff, CEO, Salesforce
Salesforce DreamForce 2025
Dreamforce 2025 confirmed that the shift from static workflows to orchestrating dynamic, AI-driven ‘agents’ is already well underway. This new ‘Agentic Enterprise’ model makes a unified, trusted data strategy the absolute top priority for every CMO over the next 12 months. Without a clean, unified data foundation, these powerful new AI tools will not be able to realise anything like their true potential.
This also signals a fundamental change for our marketing specialists. Their role will evolve from ‘builder’ to ‘AI coach’—setting the strategy, defining boundaries, and training digital agents to execute and optimise. This will mean up-skilling teams to pilot these new capabilities, prove ROI, and start to build trust in this new human-AI collaboration.
–Adrian Jones | CEO Marketing Cube
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Agentforce 360: The New Platform Layer
The main announcement was the general availability of Agentforce 360. This is now the foundational platform layer for all Salesforce applications, including Marketing Cloud. Agentforce 360 connects employees, operations, customers, and AI-powered agents. All of this is orchestrated through trusted enterprise data, with Data 360 at the centre. The new agentic layer sits above the Salesforce data layer. It enables seamless collaboration between humans and AI agents across every touchpoint. Read further about the Salesforce and Google strategic partnership with deeper integrations across Agentforce 360 and Gemini Enterprise.
For marketers, this means that campaigns, customer journeys, and analytics are dynamically enhanced by agents that can act, learn, and optimise in real time. Slack is the main interface for this intelligence, and Salesforce now positions it as an agentic operating system for the enterprise. Conversations in Slack can be turned into actionable business outcomes.
What are Marketing Agents?
Nurture Agent
They use context signalling to engage prospects only when they are ready. This approach brings marketing and sales closer together for a more unified customer journey. AI now manages lead nurturing, qualifying, and hand-off, which helps build trust before sales steps in.
Campaign Optimisation Agent
They continuously test and adjust campaign elements such as subject lines, send times, and offers. The goal is to maximise engagement and learn from every interaction.
Personal Shopper Agent
Used by brands like Pandora and Williams-Sonoma, it provides real-time, personalised recommendations and support. These agents work across chat, voice, and digital channels, using a customer’s purchase history and preferences.
Key Features of Salesforce Marketing Cloud Next
- Agentic Automation. Routine campaign management tasks are now handled by agents. This allows marketers to focus on strategy and creativity.
- Conversational Interfaces. Marketers can interact with agents in natural language through Slack or other platforms. They can ask for campaign results, request new assets, or even launch campaigns through conversation.
- Real-Time Personalisation. Agents use unified data to deliver highly personalised content and offers. They adapt instantly as customer behaviour changes.
- Cross-Channel Orchestration. Agents manage engagement across email, social, web, and mobile. This ensures a cohesive experience at every touchpoint.
- Continuous Learning. Agents observe, test, and optimise autonomously. They learn what works for each audience segment and scale those insights across the business.
Marketing Cloud Next industry use cases & ROI
Williams-Sonoma deployed an agent that delivers personalised recipes and tutorials. This increased customer engagement after purchase.
Pandora’s “Gemma” agent acts as a personal shopper, which led to higher conversion rates and improved customer satisfaction.
PepsiCo is already seeing efficiency gains of 25 to 30 per cent from Agentforce-driven marketing. They plan to scale this to 5 million stores by 2026.
These images are representative only; they were created using Google Gemini.
Guardrails, trust, & human-AI collaboration
A consistent theme was the importance of AI literacy and trust. Salesforce’s approach is to treat agents as digital colleagues. They coach them with the same care as human team members and set clear boundaries to avoid brand-damaging mistakes.
For example, after an agent suggested a competitor’s product, Salesforce simply retrained the agent, just as they would a human employee.
The Future: Every marketer an Agent Builder
With Agentforce 360, Salesforce is giving marketers the tools to build, deploy, and refine agents for their own workflows. This shift marks a move from static automation to agile, data-driven, and human-guided agentic marketing.
Conclusion:
That’s a wrap for Dreamforce 2025
Salesforce Marketing Cloud Next, powered by Agentforce 360, is changing the landscape of marketing.
AI agents are already delivering results, freeing marketers from repetitive work, and unlocking new levels of personalisation and efficiency.
For marketing leaders, the message from Dreamforce 2025 is clear.
The future is agentic, and it is happening now.
We support Salesforce Marketing Cloud clients to get the most from their investment with Salesforce
SOURCE: Salesforce Blog | On-the-Ground Reporting from the World’s Biggest AI Conference | 16th October 2025
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