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Course Outline
Introduction to AI in Digital Marketing for OOH/DOOH
- Overview of the OOH and DOOH advertising ecosystem
- The landscape of programmatic OOH
- The role of AI in enhancing sales processes and operational efficiency
AI for Prospecting and Lead Qualification
- Identifying target accounts through AI-driven insights
- Implementation of predictive lead scoring models
- Integrating AI prospecting tools with existing CRM systems
Proposal Personalization with AI
- Generating dynamic content tailored for client proposals
- Leveraging AI for creative recommendations
- Customizing offers based on customer behavior data
Data Analysis and Performance Insights
- Collecting and processing data from OOH campaigns
- Utilizing AI tools for comprehensive campaign performance reporting
- Forecasting and optimizing inventory utilization
AI in Pitch Simulation and Training
- Practicing objection handling using AI chatbots
- Utilizing speech analysis and feedback tools
- Engaging in scenario-based pitch roleplays
Integration with DV360, Place Exchange, and Other Platforms
- Connecting AI workflows to DV360 for programmatic OOH capabilities
- Utilizing Place Exchange API data for advanced targeting and reporting
- Identifying automation opportunities within proposal-to-delivery workflows
Ethics, Privacy, and Compliance in AI for Advertising
- Key considerations regarding data privacy
- Ensuring transparency in AI-driven decision-making processes
- Adhering to industry compliance guidelines
Summary and Next Steps
Requirements
- Fundamental understanding of digital marketing principles
- Familiarity with operational workflows for OOH and DOOH advertising
- Prior experience in sales or account management roles
Target Audience
- Sales teams specializing in OOH and DOOH
- Professionals in programmatic advertising
- Account managers within media sales organizations
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.