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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 operations.
AI for Prospecting and Lead Qualification
- Identifying target accounts using AI-driven insights.
- Predictive lead scoring models.
- Integrating AI prospecting with CRM systems.
Proposal Personalization with AI
- Dynamic content generation for client proposals.
- AI-assisted creative recommendations.
- Tailoring offers using customer behavior data.
Data Analysis and Performance Insights
- Collecting and processing OOH campaign data.
- AI tools for campaign performance reporting.
- Forecasting and optimizing inventory utilization.
AI in Pitch Simulation and Training
- Using AI chatbots for objection handling practice.
- Speech analysis and feedback tools.
- Scenario-based pitch roleplays.
Integration with DV360, Place Exchange, and Other Platforms
- Connecting AI workflows to DV360 for programmatic OOH.
- Using Place Exchange API data for targeting and reporting.
- Automation opportunities in proposal-to-delivery workflows.
Ethics, Privacy, and Compliance in AI for Advertising
- Data privacy considerations.
- Transparency in AI-driven decision-making.
- Industry compliance guidelines.
Summary and Next Steps
Requirements
- Fundamental understanding of digital marketing concepts.
- Familiarity with OOH and DOOH advertising workflows.
- Experience in sales or account management roles.
Target Audience
- Sales teams focused on OOH and DOOH.
- Professionals in programmatic advertising.
- Account managers within media sales.
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
