Coconote
AI notes
AI voice & video notes
Export note
Try for free
Programmatic Transparency in Advertising
Jul 10, 2024
Lecture Notes: Programmatic Transparency in Advertising
Presenter Information
Presenter
: Jenny Neiswanger & Brad Morin
Role
:
Jenny Neiswanger: Vice President of Data Tech and Measurement, Part of the Global Growth Council and Data and Tech Council
Brad Morin: Head of Global Media for Kimberly-Clark
Introduction
Session Context
: Second of four sessions diving into the CMO Guide to Programmatic Transparency.
Focus
: Understanding the programmatic process and cost drivers.
Goal
: Optimize and create transparency in the programmatic media supply chain.
Main Contributors
: Industry experts including Karen Walker, Raja Rajamannar, Zena Arnold.
Objectives
Primary Objective
: Help CMOs recover 10 cents on every dollar spent in programmatic digital advertising.
Potential Savings
: With 500 CMOs optimizing spend, this equates to approximately $10 billion in more effective spend.
Guide Overview
Developed over two years with input from diverse experts (client-side, agency-side, vendor-side, consultants).
Framework
: Crawl-Walk-Run-Fly approach, offering detailed guidance on programmatic advertising.
Importance
: Contains practical questions and checklists for CMOs and their teams to implement immediately.
Programmatic Activation Model
Simplified Process
:
Advertiser wants to place an ad targeted at a specific audience via a bid-based system.
Transition from buying environments to buying consumer attention.
Key Components
:
Trading Desk/Activation Specialist
: Manages ad placement using DSP (Demand Side Platform).
DSP
: Connects the advertiser's ad with the supply side in a bid-based system.
SSP (Supply Side Platform)
: Coordinates available ad placements on publisher sites.
Publisher
: Hosts ad placements on their website.
Additional Technologies: DMPs (Data Management Platforms), CDPs (Customer Data Platforms), ad serving technologies.
Stock Market Analogy
: Advertiser (buyer) operates similarly to purchasing stock through brokers via an exchange.
Costs in Programmatic Ecosystem
Cost Distribution
:
60% on technology and capability to get the ad to market.
40% on supply-side costs.
Breakdown
:
Activation specialist fees.
DSP fees.
Ad serving fees.
Dynamic Content Optimization (DCO) fees.
Brand safety and ad verification fees.
Data costs for audience targeting.
Best Practices for Working with Activation Specialists
Scope of Works (SoW)
: Clear documentation outlining team roles and responsibilities.
Philosophy
: Understand the balance between price, quality, and performance.
Optimization Metrics
: Align campaign metrics with business goals.
Hygiene Reporting
: Regularly review spend pacing and quality.
Selecting DSPs
Capabilities
: Importing audiences, bid parameter tools, log files, multi-channel ad placement.
Review Process
: Evaluate different DSP providers to understand their strengths and weaknesses.
Key Considerations
: Integration with existing ad tech, unique offerings, fee transparency, direct relationships with DSPs.
Ad Verification
Purpose
: Avoid fraud, ensure brand safety, and track performance and engagement metrics.
Tech Providers
: Use add-on technologies (e.g., Integral Ad Science, DoubleVerify, Grapeshot) for real-time monitoring.
Best Practices
: Choose appropriate verification partners, avoid excessive overlap, and track reports meticulously.
Data Fees
Complexity
: Most challenging cost to manage due to varying audience segments and data sources.
Steps
: Understand audience data costs, evaluate cost efficiency, and explore lower-cost alternatives.
Final Thoughts
Value of Fees
: Justified by the ability to reach consumers more effectively; avoid duplication of services.
Optimizing Costs
: Ensure no redundant fees and request proof of value for services paid.
Consumer Experience
: Consider the overall advertising experience and not just cost factors.
Partner Relationships
: Build strong relationships throughout the programmatic supply chain.
Future of Programmatic
: Exciting developments with cookieless audience data, improving both performance and user experience.
📄
Full transcript