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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 and 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 Out-of-Home (OOH) and Digital Out-of-Home (DOOH) advertising workflows.
  • Prior experience in sales or account management roles.

Target Audience

  • OOH and DOOH sales teams.
  • Professionals in programmatic advertising.
  • Account managers within media sales organizations.
 14 Hours

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