『Programmatic Digest』のカバーアート

Programmatic Digest

Programmatic Digest

著者： Helene Parker and Co-host: Manuela Cortes
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The Programmatic Digest is a 20-30 minutes weekly podcast where we discuss with fellow industry expert programmatic and digital media news. Our mission on this podcast is to share knowledge, highlight Diversity & Inclusion in AdTech, and educate ourselves as we build this community of programmatic and digital ninjas. Would you like to learn more about programmatic? Check our Reach and Frequency™️ Course - https://www.heleneparker.com/course/ We offer customized training programs to you and your team - https://www.heleneparker.com/workshop/Helene Parker Consulting LLC 2019-2025 マーケティング マーケティング・セールス 出世 就職活動 経済学
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  • 205. Conversational Ad Ops, AI agents, and Model Context Protocol (MCP) with Rob Janes

    205. Conversational Ad Ops, AI agents, and Model Context Protocol (MCP) with Rob Janes
    2026/08/25
    In this episode of the Programmatic Digest Podcast, host and guest Rob JAnes, Head of Product at AdButler, discuss the rapidly changing landscape of publisher monetization and programmatic ad operations heading into 2025. Check out the interview on YouTube here: https://youtu.be/EFAuN7ce1Ag They break down the industry-wide adjustments following Google's unexpected decision not to deprecate third-party cookies and the subsequent pivot to internal identity resolution systems. A major focus of the conversation is the existential crisis content creators face due to declining traffic, driven by generative AI search summaries (like ChatGPT, Claude, and Google AI Overviews). Rob explores how AdButler is helping publishers adapt through engineering solutions, including Model Context Protocol (MCP) servers for "agentic ad ops," specialized retail media technology (Commerce Catalyst), and turnkey self-service marketplaces that can run directly on top of Google Ad Manager (GAM). They also look ahead to the future of programmatic agencies, predicting a shift from clunky DSP interfaces to autonomous media-buying AI agents guided by emerging standards like the Ad Context Protocol (ADCP). Key Takeaways The AI Traffic Squeeze: Content publishers are experiencing declining site visits as users migrate from traditional search queries to conversational AI summaries (such as ChatGPT, Claude, or Google AI Overviews) that aggregate content offsite. Monetizing AI Scraping: An emerging front in publisher revenue is demanding compensation from LLM companies (like Anthropic or OpenAI) for scraping site content. Driven by concepts discussed by industry leaders like Scott Messer, specialized startups and platforms are expected to launch within 3 to 6 months to help publishers charge scrapers. The Post-Cookie Pivot: Google's late-2025 reversal on cookie deprecation disrupted industry expectations, yet it ultimately accelerated publishers' adoption of first-party and alternative identity resolution standards like ID5 and UID2. Low-Overhead Self-Service Portals: AdButler's self-service portal builder allows local or small advertisers to purchase ad placements directly via credit card. This bypasses the need for high-overhead sales teams, making buying on publisher sites as seamless as running campaigns on Meta or LinkedIn, and can even integrate on top of existing Google Ad Manager (GAM) setups. Why Traditional Ad Servers Fail Retail Media Networks (RMNs): Standard servers like GAM are volume-based (impressions and clicks) rather than performance-driven. RMNs require unified online and offline transactional data paired with SKU-level tracking to deliver highly relevant, objective-based product ads. Agentic Ad Ops & Media Buying: AdButler has introduced Model Context Protocol (MCP) server integration, enabling ad ops teams to conversationally manage campaigns, analyze metrics, and create automated optimization rules via Claude or OpenAI. On the programmatic buyer side, protocols like the Ad Context Protocol (ADCP) and IAB's agentic protocol are paving the way for autonomous AI buying agents to eventually run campaigns across DSPs without manual human intervention. 🧠 About Us: We help historically excluded individuals break into programmatic media buying and land jobs they love. Through our Reach and Frequency® program, coaching, and community, we make learning programmatic clear, practical, and welcoming. Our mission is simple: DSP access and education should be for everyone, not just a few. That's why we teach new talent and support independent agencies and brands through my work at Infillion (MediaMath), helping more people access the MediaMath DSP. Join once, stay learning forever. Past workshops, paid gems, and every new recording + resource added as we go. This library isn't a one-time thing, it's the full vault plus all future trainings, recordings, and guides. Access it here: https://www.heleneparker.com/library ⏱ Timestamps: [00:00] Introduction to Rob JAnes and AdButler [02:15] The 2025 Publisher Landscape & Cookie Reversals [05:30] The Existential Threat of Conversational AI Summary Engines [08:45] Monetizing AI Scrapers & The Shift to Offsite Revenue [12:15] Inside AdButler & Commerce Catalyst for Retail Media [14:45] Conversational Campaign Management via AdButler's MCP [16:45] Turnkey Self-Service Marketplaces to Eliminate Sales Overhead [19:45] Why Traditional Ad Servers Fall Short for Retail and Commerce Networks [27:15] The ADCP Protocol and the Coming Era of AI Agent Agencies [31:00] Episode Wrap-up and Final Remarks 👤 Meet Our Guest: Rob Janes – Head of Product at AdButler Rob has been working in the adtech space for close to a decade. At AdButler, he runs the product development teams as well as customer-facing departments, including support and engineering. His day-to-day work spans direct deals, programmatic connectors, and emerging ad serving integrations. A...
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    35 分
  • 204. Martech Architecture Explained: The Missing Layer in Ad Tech

    204. Martech Architecture Explained: The Missing Layer in Ad Tech
    2026/08/18
    🎧 Summary: In this episode of the Programmatic Digest Podcast, Hélène Parker sits down with Sanarr McLaughlin to unpack one of the most overlooked challenges in programmatic advertising and digital marketing: martech structure. From disconnected tools and messy integrations to reporting confusion and operational inefficiencies, Sanarr explains why many agencies, brands, and media teams are struggling under the weight of their own systems. Together, they explore how poor martech architecture impacts campaign execution, data accuracy, internal productivity, and ultimately business growth. Drawing from years of experience across programmatic, CTV, digital strategy, and operations, Sanarr shares practical insights on auditing your marketing ecosystem, identifying underutilized tools, streamlining workflows, and building systems that actually support scalable growth. The conversation also dives into why many businesses mistakenly believe they need more hires or more software, when the real issue is often process clarity and tool utilization. If your team constantly feels overwhelmed, buried in spreadsheets, stuck in reporting delays, or frustrated by disconnected platforms, this episode is a must-listen. 🧠 About Us: We help historically excluded individuals break into programmatic media buying and land jobs they love. Through our Reach and Frequency® program, coaching, and community, we make learning programmatic clear, practical, and welcoming. Our mission is simple: DSP access and education should be for everyone, not just a few. That's why we teach new talent and support independent agencies and brands through my work at Infillion (MediaMath), helping more people access the MediaMath DSP. Join once, stay learning forever. Past workshops, paid gems, and every new recording + resource added as we go. This library isn't a one-time thing, it's the full vault plus all future trainings, recordings, and guides. Access it here: https://www.heleneparker.com/library ⏱ Timestamps: • [00:00] - Intro and reunion with Sanarr McLaughlin • [02:08] - How Sanarr fell in love with digital marketing • [04:50] - Why marketing teams operate in chaos • [07:12] - What a martech ecosystem actually is • [10:04] - Too many tools and underutilized platforms • [13:26] - The hidden cost of disconnected systems • [16:18] - Why operational inefficiency hurts campaign performance • [20:02] - How marketers unknowingly waste money on tools • [24:41] - Why reporting delays and confusion happen • [28:15] - Programmatic buying, integrations, and workflow bottlenecks • [32:07] - The growing complexity of CTV and media buying teams • [36:42] - How to know your martech structure is broken • [41:10] - Conducting a martech audit step-by-step • [46:35] - Why businesses think they need more hires instead of better systems • [50:24] - Common mistakes small businesses make with marketing tools • [54:11] - Quick wins after auditing your martech stack • [57:48] - How long martech optimization projects take • [1:01:40] - The "doctor and physical therapy" analogy explained • [1:07:15] - Why fixing systems creates immediate relief • [1:11:06] - The importance of clarity, process, and operational health • [1:14:02] - Final thoughts on martech architecture and scaling smarter • [1:16:12] - Where to connect with Sanarr McLaughlin 👤 Meet Our Guest: Sanarr McLaughlin – Digital Marketing Strategist and Martech Operations Expert Sanarr McLaughlin is a digital marketing strategist and martech operations expert with over two decades of experience across programmatic advertising, CTV, social, audio, and digital media buying. Through her work with DigitalXMedia, she helps businesses audit, optimize, and streamline their marketing technology ecosystems to improve operational efficiency, campaign effectiveness, and business growth. 📎 Connect on LinkedIn: https://www.linkedin.com/in/sanarrmclaughlin/ 💻 Meet The Team: Hélène Parker – Chief Programmatic Coach 🌐 heleneparker.com 🔗 LinkedIn: https://www.linkedin.com/in/helene-parker/ Manuela Cortes – Co-Host, Programmatic Digest en Español 🔗 LinkedIn: https://www.linkedin.com/in/manuela-cortes-/ 🎓 Learn Programmatic: For Individual Buyers: https://heleneparker.com/library Subscribe to the Newsletter: https://heleneparker.com/newsletter Be the first to find out about free programmatic training workshops: https://www.heleneparker.com/waitlist/ 📲 Follow Us: 🔗 LinkedIn: https://www.linkedin.com/company/programmatic-digest-podcast ▶️ YouTube: https://www.youtube.com/@programmaticdigest
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    43 分
  • 203. Are We Optimizing for Bots? Unpacking AI, CTR, and Ad Fraud with Dr. Fou

    203. Are We Optimizing for Bots? Unpacking AI, CTR, and Ad Fraud with Dr. Fou
    2026/08/11
    In this episode of the Programmatic Digest, Hélène Parker sits down with Dr. Augustine Fou, founder of Fou Analytics, to unpack the realities of ad fraud, attribution, AI, and programmatic optimization. Dr. Fou challenges some of the metrics and tools our industry has relied on for years, explaining how bots can manipulate signals like CTR and how algorithms can unintentionally optimize toward fraudulent inventory. The conversation also explores the limitations of traditional fraud detection, the importance of independent verification, and how traders can use more granular data, including placements and Seller IDs, to better understand where their budgets are actually going. At the heart of the conversation is a simple question: Are we optimizing for metrics, or are we optimizing for real business outcomes? Key Takeaways Question vanity metrics: High CTR and other engagement metrics don't always mean better campaign performance. AI is only as good as its signals: If algorithms optimize toward manipulated metrics, they can unintentionally send more budget toward fraudulent inventory. Look beyond standard fraud reports: Fraud percentages only reflect what verification technology is able to detect. Audit your placements: Regularly review where your ads are running and whether those environments make sense for your audience. Pay attention to Seller IDs: Seller-level data can provide another layer of transparency when evaluating programmatic supply. Consider independent verification: Post-bid data can help validate what actually happened after an impression was served. Quality matters more than volume: Fewer, higher-quality impressions reaching real humans can be more valuable than maximizing cheap reach. Keep the human in the loop: Automation can make traders more efficient, but critical thinking, QA, and active optimization remain essential. Optimize toward business outcomes: Ultimately, campaign success should connect back to real results, not just what looks good in a DSP report. About Us: We help historically excluded individuals break into programmatic media buying and land jobs they love. Through our Reach and Frequency® program, coaching, and community, we make learning programmatic clear, practical, and welcoming. Join once, stay learning forever. Past workshops, paid gems, and every new recording + resource added as we go. This library isn't a one-time thing, it's the Foull vault plus all Fouture trainings, recordings, and guides. Access it here: https://www.heleneparker.com/library 🪶 Timestamps and Topics 00:00 | Introduction & Welcome 01:30 | From Chemical Engineering to Ad Tech 05:45 | The Beginning of Fou Analytics 08:00 | The View-Through Attribution Problem 12:30 | AI in Digital Advertising 15:15 | Can AI Optimization Amplify Fraud? 18:30 | The Challenges of AI Fraud Detection 22:30 | Where AI Can Help Traders 25:15 | Mobile App Fraud & Ad Quality 29:30 | Frequency Caps Need Human Context 34:45 | How Traders Can Audit Their Campaigns 39:00 | Domain Spoofing & Seller IDs 45:00 | What Happens When You Remove Bad Inventory? 48:00 | Georgia-Pacific Case Study 51:30 | Building a Healthier Programmatic Strategy 👤 Meet the Guests: Dr. Augustine Fou - FouAnalytics Dr. Augustine Fou is an ad tech expert and founder of Fou Analytics who brings a scientific, data-driven approach to digital advertising and ad fraud. With a PhD in chemical engineering and experience spanning McKinsey, American Express, IPG, and Omnicom, he has worked in digital advertising since its early days in the 1990s. Today, through Fou Analytics, he helps advertisers independently measure ad quality, identify fraud, and better understand where their digital media dollars are going. https://www.linkedin.com/in/augustinefou/ About FouAnalytics: Fou Analytics is an independent ad-quality and verification platform founded by Dr. Augustine Fou. Built around a deterministic, data-driven approach, the platform helps advertisers identify ad fraud, verify where their ads are actually running, and better understand the quality of the audiences their media dollars are reaching. Through post-bid verification, placement analysis, and Seller ID tracking, Fou Analytics gives advertisers greater transparency into their programmatic campaigns and helps them optimize toward real human audiences and business outcomes. https://fouanalytics.com/ https://www.linkedin.com/newsletters/fouanalytics-practitioners-6882693009914253312/ 🎓 Learn Programmatic: For Individual Buyers: https://heleneparker.com/library Subscribe to the Newsletter: https://heleneparker.com/newsletter Be the first to find out about free programmatic training workshops: https://www.heleneparker.com/waitlist/
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    38 分
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