15 Topics
10 Days
Programme Overview
Training Description
Who should attend
This training course is designed for digital marketers, advertising professionals, media planners, and campaign managers who are looking to expand their expertise in programmatic advertising and RTB. It is ideal for professionals with a basic understanding of digital advertising who wish to deepen their knowledge of advanced programmatic techniques, RTB strategies, and campaign optimization. This course is also suitable for those involved in strategy development, digital ad operations, and performance measurement within advertising teams.
Session Objectives
- Understand Programmatic Advertising at an Advanced Level
- Master Real-Time Bidding (RTB) Strategies
- Optimize Campaign Performance Using Data and Analytics
- Utilize Advanced Targeting Techniques
- Stay Updated on Industry Trends and Best Practices
- Address Ethical and Legal Considerations
About the Course
The world of digital advertising is constantly evolving, and programmatic advertising has become a cornerstone of online marketing strategies. Programmatic advertising uses technology and algorithms to automate the buying and selling of digital ad inventory, allowing for more efficient, targeted, and data-driven campaigns. Real-Time Bidding (RTB) is a key component of this process, enabling advertisers to bid for ad impressions in real-time, ensuring they reach their target audience at the perfect moment. This advanced training course on Programmatic Advertising and RTB equips marketers with the tools, strategies, and insights necessary to leverage these technologies effectively for their advertising campaigns.
Curriculum & Topics
15 Topics | 10 Days
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Subtopic 1.1:
Overview of programmatic advertising and its significance in the digital marketing ecosystem.
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Subtopic 1.2:
Key terminology and concepts in programmatic advertising.
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Subtopic 1.3:
Evolution and impact of programmatic on digital marketing.
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Subtopic 2.1:
The programmatic advertising ecosystem (DSP, SSP, DMP, Ad Exchange).
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Subtopic 2.2:
The role of automation and algorithms in media buying and selling.
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Subtopic 2.3:
Types of programmatic ad buying (Direct, RTB, Private Marketplace).
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Subtopic 3.1:
Mechanics of RTB auctions and how advertisers bid for impressions in real time.
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Subtopic 3.2:
•Differences between RTB and traditional ad buying models.
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Subtopic 3.3:
How RTB optimizes ad inventory and pricing.
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Subtopic 4.1:
Introduction to Demand-Side Platforms (DSPs) and Supply-Side Platforms (SSPs).
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Subtopic 4.2:
Data Management Platforms (DMPs) and their role in data aggregation and segmentation.
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Subtopic 4.3:
Ad Exchanges and the integration of all programmatic components.
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Subtopic 5.1:
•First-party, second-party, and third-party data for segmentation.
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Subtopic 5.2:
Techniques for audience segmentation and behavior-based targeting.
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Subtopic 5.3:
Dynamic targeting and real-time adjustments.
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Subtopic 6.1:
Automated bidding strategies: CPC, CPM, CPA, and CPCV.
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Subtopic 6.2:
Bid optimization techniques: Dynamic bidding, priority bidding, and floor pricing.
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Subtopic 6.3:
How to adjust bids based on time, location, device, and audience.
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Subtopic 7.1:
Dynamic Creative Optimization (DCO) for personalized ad creatives.
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Subtopic 7.2:
Understanding creative formats for programmatic ads (Display, Video, Native).
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Subtopic 7.3:
Best practices for optimizing ad creatives for multiple devices and formats.
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Subtopic 8.1:
Understanding data measurement in programmatic campaigns.
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Subtopic 8.2:
Analyzing the performance of ads through KPIs (CTR, ROI, conversion rates).
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Subtopic 8.3:
Using analytics tools to monitor and adjust campaign performance in real-time.
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Subtopic 9.1:
Integrating programmatic ads across multiple channels (Display, Mobile, Video, Social).
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Subtopic 9.2:
Programmatic advertising for connected TV (CTV) and over-the-top (OTT) platforms.
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Subtopic 9.3:
The role of programmatic in omnichannel strategies.
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Subtopic 10.1:
Identifying and mitigating risks in programmatic advertising (Ad fraud, invalid traffic).
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Subtopic 10.2:
Tools and techniques for ensuring brand safety in programmatic campaigns.
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Subtopic 10.3:
Using whitelists, blacklists, and verified inventory for safer media buying.
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Subtopic 11.1:
Mobile programmatic advertising: Formats, strategies, and best practices.
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Subtopic 11.2:
Retargeting and geofencing techniques for mobile programmatic ads.
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Subtopic 11.3:
Mobile DSPs and mobile-specific RTB strategies.
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Subtopic 12.1:
Attribution models in programmatic advertising (Last-click, Multi-touch, and Algorithmic).
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Subtopic 12.2:
Measuring and attributing the impact of programmatic ads on ROI and conversions.
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Subtopic 12.3:
Using attribution to optimize programmatic spending and performance.
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Subtopic 13.1:
How AI is transforming programmatic advertising and RTB.
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Subtopic 13.2:
Machine learning algorithms for predictive ad targeting and bid optimization.
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Subtopic 13.3:
AI-powered tools for campaign management and creative automation.
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Subtopic 14.1:
Data privacy concerns and compliance with regulations like GDPR and CCPA.
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Subtopic 14.2:
Ethical issues in programmatic advertising and RTB.
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Subtopic 14.3:
Maintaining transparency and trust with consumers in programmatic campaigns.
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Subtopic 15.1:
Emerging trends in programmatic advertising (Blockchain, AI, 5G).
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Subtopic 15.2:
The growing role of programmatic in eCommerce, influencer marketing, and social media.
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Subtopic 15.3:
Preparing for the future of programmatic with upcoming technologies and strategies.
