Client Overview
Industry
Retail
Region
Global
Company Size
Large Enterprise
Featured Solution
AI-Driven Campaign Automation POC Framework
The Context
The client operates within the Salesforce platform ecosystem, using Sales Cloud, Service Cloud, and Marketing Cloud to support marketing and customer engagement workflows. As part of its retail initiatives, the organization implemented Salesforce Marketing Cloud Next to streamline campaign execution and enable business users to manage marketing activities more independently.
To demonstrate these capabilities, the client initiated a Marketing Cloud POC focused on enabling business users to create and manage campaigns directly within SFMC Next. However, traditional campaign setup still required manual and structured configuration. Business users lacked a simple, automated way to create campaigns, define audience segments, and optimize performance.
While Einstein provided AI-driven insights, its optimization capabilities were not embedded into a unified, demo-ready workflow. The organization, therefore, needed a functional POC to demonstrate AI-powered campaign management, automated audience segmentation, and embedded optimization using Agentforce and Einstein.
The Challenges
There were several factors in the current setup that created hurdles in showcasing automation effectively.
Complex Workflow Dependencies
Campaign creation required multiple manual configuration steps, limiting the ability to showcase automation.
Limited Business-User Autonomy
Without automation, business users could not independently create campaigns, making it harder to demonstrate real-world usage.
Einstein Integration Complexity
Embedding AI-driven optimization into the campaign flow was challenging because it needed to appear seamless in demonstrations.
Simulating Real Retail Scenarios
Crafting a POC that reflected an underperforming product scenario required careful planning to make automation tangible for clients.
The Solutions
To overcome these hurdles, we built a POC that showcased seamless campaign automation.
- AI-Driven Campaign Management
We enabled business users to create campaigns, define audience segments, and design briefs directly in SFMC Next using Agentforce, removing manual steps from the workflow.
- Integrated AI Optimization with Einstein
We embedded Einstein into campaign workflows to automate intelligence-driven optimization, letting users apply AI insights while retaining flexibility to adjust campaign elements.
- Refined Core Salesforce Platform Features
We utilized Sales Cloud, Service Cloud, and Marketing Cloud to provide a cohesive environment where marketing tasks could be initiated directly from the marketing section.
- Packaged POC for Client Demonstration
We assembled all features in a structured POC format with screenshots, voiceovers, and illustrative text messages.
Business Outcome
The team delivered a structured POC showcasing SFMC Next automation for business users. Campaign creation, audience segmentation, and brief generation were fully automated using Agentforce. Einstein optimized campaigns intelligently while giving users the flexibility to adjust elements.
The POC validated key workflows and highlighted AI-powered campaign optimization, offering a solid foundation for future projects.
Highlights
Fully Automated Campaign Workflows
Integrated AI-Driven Optimization
Demonstrated Practical Retail Scenarios
End-to-End Salesforce POC Delivered
Conclusion
The POC showed how campaigns can be created and managed without manual steps, giving business users a clear, hands-on view of Agentforce-powered marketing automation in action. The client can now scale campaigns, test new approaches, and run promotions efficiently.
This work lays the foundation for faster, more precise, and easier-to-manage marketing, turning a demonstration into a platform for ongoing impact.
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