About
I’m James Deaker — The Yield Doctor. I help publishers, app developers, and ad tech…
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James Deaker shared thisCustom rate cards feel like a smart way to win deals. And early on… they are. But over time, they often lead to: • Inconsistent pricing • Operational complexity • Constraints on product changes The tricky part? You don’t see the damage immediately. There’s a better way to structure flexibility—without losing control. I break it down here: https://lnkd.in/gJtBv6Gs
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James Deaker shared thisHow to approach requests for Custom Rate Cards from advertisers
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James Deaker shared thisIf you spend any time talking to pricing professionals, you’ll hear a familiar frustration: “We’re doing good work… but no one listens.” The issue usually isn't capability. It's the structure of the organization. In this week's article I talk through how to address these challenges.
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James Deaker shared thisIssue 1 of the Yield Report - Understanding Mix DynamicsThe Mix Problem — When Higher Prices Reduce RevenueThe Mix Problem — When Higher Prices Reduce Revenue
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James Deaker shared thisToday I launched a LinkedIn newsletter called The Yield Doctor Report. I’ll be sharing practical frameworks for understanding the economics of digital advertising — pricing, yield management, retail media, and monetization strategy. The first issue explains a strange phenomenon many revenue leaders have seen: Every product improved price realization… and yet revenue fell. You can read the first issue here: Subscribe on LinkedIn https://lnkd.in/gyHpXUEjThe Mix Problem — When Higher Prices Reduce RevenueThe Mix Problem — When Higher Prices Reduce Revenue
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James Deaker shared thisMy first LinkedIn Newsletter - The Mix Problem in Yield Management explainedThe Mix Problem — When Higher Prices Reduce RevenueThe Mix Problem — When Higher Prices Reduce Revenue
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James Deaker shared thisI just got back from RampUp 2026, where AI dominated almost every session and hallway conversation. But what struck me most wasn’t the technology itself — it was how early the industry still is in figuring out how AI will actually be implemented. After two days at the conference, here are three takeaways that stood out. 1️⃣ The biggest thing missing from AI in advertising right now is standards. Scott Howe, CEO of LiveRamp, spoke about waves of innovation in history. He referenced the U.S. railroad system, where network effects accelerated once standards were introduced — things like standardized time zones and track gauge. At RampUp, it became clear that we are still very early when it comes to standards for AI. Protocols are still emerging or competing — for example AdCP (Yahoo, Scope3, PubMatic) and AAMP (LiveRamp and the IAB). My takeaway: It won’t be the speed of technology that slows the rise of AI agents in advertising. It will be the speed at which protocols and standards develop and are adopted. 2️⃣ AI in AdTech currently doesn’t have an organized resistance. In most innovation waves, one group pushes forward while another pushes back. Programmatic buying is a good example. Supporters emphasized efficiency, while critics — often publishers and agencies — warned it would drive down prices and hurt advertiser outcomes. But that dynamic hasn’t really appeared with AI. Maybe the industry learned from programmatic that you can’t hold back the tide. My takeaway: AI may be the first major innovation wave in advertising with almost no organized resistance. 3️⃣ The conversation about AI is far ahead of the implementation. Almost every post and conference session is about AI. But the gap between talk and action is still large. In one session, the moderator asked how many companies had run campaigns through an agentic workflow. Only about 20–25% of the room raised their hands. Even panelists struggled to provide concrete examples. My takeaway: The conversation around AI is far ahead of the operational reality. One final observation. AI is accelerating execution at the same moment that privacy laws are increasing constraints across U.S. states. The companies that succeed will likely be the ones best at governance, control, and structured data. Curious what others who attended RampUp saw.
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James Deaker posted thisMost executives think AI will fix their data problems - It won’t. If anything, AI is exposing how weak most data foundations actually are. In my latest conversation with Brian Silver (EVP, Global Marketing Solutions at TransUnion), we discussed a statistic that should make every publisher, ad tech company, and CMO pause: ~60% of AI initiatives fail. Not because of the model. Not because of compute. Because of the data. Fragmentation. Weak identity resolution. Shallow enrichment. Disconnected measurement. AI is a multiplier. If your inputs are flawed, it scales error. If your identity infrastructure is strong, it becomes a revenue engine. Three themes stood out in our discussion: 1️⃣ Identity resolution is now infrastructure — not a targeting enhancement. 2️⃣ Enrichment matters more than raw scale — depth of signal drives predictive power. 3️⃣ Closed-loop connectivity wins — resolve → enrich → activate → measure → optimize. We also touched on something more forward-looking: What happens when AI agents — not humans — begin generating traffic at scale? How do we verify identity? How do we measure ROI? How does monetization evolve? The power dynamics between demand and supply may shift faster than many expect. If you’re investing in AI — or being asked to define your AI strategy — this conversation is worth your time. Link to the full episode in the comments. Curious - Are you seeing AI improve performance in your organization — or just increase complexity?
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James Deaker shared thisMost executives assume stronger data controls, privacy processes, and governance frameworks slow a business down. In practice, the opposite is often true. Weak data practices quietly create friction across product, sales, and leadership teams. Decisions get delayed. Escalations happen late. Teams hesitate — not because they’re risk-averse, but because they lack confidence in how data is actually being used. I sat down with Devan Brua, Founder & CEO of Privacywise, LLC, to unpack why stronger data controls don’t block innovation — they create the shared visibility and clarity that lets organizations move faster, especially as AI and automation scale. We talk about: • Why many companies believe they’re “fine on data” — until they’re not • How data governance issues surface after key product or partnership decisions • Why AI amplifies existing data weaknesses rather than creating entirely new risks • How better data governance reduces hesitation and speeds up execution This isn’t a conversation about box-checking compliance. It’s about operational confidence. We also touch on EDGE, PrivacyWise’s diagnostic tool for understanding data exposure and governance gaps: 👉 https://lnkd.in/gC7xd_-7 If your business depends on data for growth, this conversation may challenge a few assumptions. https://lnkd.in/gbDhtUzH
James Deaker commented on a post
4d
Chris Herbert, respectfully I genuinely believe there are opportunities for Pricing to expand its scope and impact. I created this video making that point a week or so ago. Pricing has no power
https://youtu.be/ZMuNRBPnJe4
James Deaker replied to a comment
2w
Thanks Eric Seiford. I'd love any other ideas about success factors. I feel like Pricing teams often aren't proactive enough in pushing for change.
James Deaker replied to a comment
3w
Alex Roucourt Great question — and I think that’s exactly where the real operational issues will emerge.
My working view is that AI reduces small execution errors but increases the risk of large systemic ones if governance and control layers aren’t defined. Humans make lots of small mistakes; autonomous systems can make very consistent mistakes at scale.
So the real question becomes what you raise: who owns the liability and the controls when the system fails?
That’s why I suspect the next phase of AI adoption in advertising will focus much more on guardrails, auditability, and override mechanisms, not just automation.
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James Deaker liked thisJames Deaker liked thisScooplet: Yahoo DSP is hiring a dedicated team to build out a range of AI-powered tools designed to serve mid-market, performance-focused advertisers—many of whom have historically transacted through Google DV360 or The Trade Desk. New features are expected to arrive later this year. For ADWEEK: https://lnkd.in/ekdPqqVHEXCLUSIVE: Yahoo Moves Downmarket With DSP Performance PushEXCLUSIVE: Yahoo Moves Downmarket With DSP Performance Push
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James Deaker liked thisJames Deaker liked thisI am beyond thrilled to share that I've been promoted to EVP of Global Sales at Yext! 🎉 Eight months back, I rejoined this incredible company with a deep sense of belief that this was our time and it is proving to be right in ways big and small. We are living through one of the most profound shifts in buyer behavior any of us has ever witnessed. The pace of change is staggering. And in moments like these, the companies that win aren't just the ones moving fast — they're the ones built for exactly this moment. Yext is that company. Here's why I believe it so deeply: 🏆 Our Client Base — We work with some of the world's most iconic brands, many for ten years plus. They trust Yext to help ensure they do not become invisible in this new world. 🔭 Our Vision — We have always been ahead of the curve on where search, AI, and the customer journey are headed. That clarity matters now more than ever, the new AI world is just an extension of what we have been doing for over a decade, helping businesses be found wherever buyers are searching. 📊 Our Scale of Data — In the AI era, data is the differentiator. Full stop. Yext's breadth and depth of structured data is a genuine, durable competitive advantage. ⚙️ Our Product & Engineering Teams — They move fast, they build with purpose, and they never stop innovating. ❤️ Our People — Everything else is possible because of this. The talent, the grit, the heart in this organization is something special. A special thanks goes to my amazing teammates in EMEA, we have made a real difference in how we approach the market, lead with our customers and work together! You are all so special to me! And to Michael Walrath — I have had the privilege of working alongside you for nearly 20 years. Thank you for your trust, your leadership, and for always seeing around corners and being the leader you are. This one means a lot. To our clients, partners, and the entire Yext team — Let's GO. The best is ahead. 🚀 #Yext #Promotion #GlobalSales #Leadership #AI #Grateful #EMEASales #EMEA
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James Deaker liked thisJames Deaker liked thisI've heard the same line from VCs three times in my career. Every time, they were wrong. In 1999: "Cool idea but I'm pretty sure Oracle is going to do that." In 2009: "Smart but I'm certain Google's got that locked." In 2026: "Really? I'm positive Anthropic has it handled." Same fallacy, new logos. When I was building Krux, I saw slides from Google in 2010 describing exactly what we were building. VCs saw them too and moved on. A lot of them told us to pack it in. We built it anyway, scaled it, and grew it into the leading data management platform for marketers before Salesforce acquired the company in 2016. Now listen, the velocity of AI is genuinely different. You've gotta be more paranoid than ever about whether there's real daylight between what you're building and what the model does (or will soon do) on its own. I wrote about this a few weeks ago. That threat is real. But the lazy consensus that two or three AI companies will simply inhale all of tech? The long arc of innovation says otherwise. The oligopoly always fractures. The behemoths never have it all on lock. And uppity founders who refuse to mind their place keep showing up to spoil the oligopolists' best-laid plans.
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James Deaker liked thisJames Deaker liked thisBefore investing in another compliance tool, it’s worth asking a simple question: 👉 Are we actually solving the right problem? In a recent conversation with James Deaker, Devan Brua explains why the EDGE diagnostic was built to reverse the usual sequence: Many organizations start with, “What should we buy?” The better starting point is, “What is actually happening inside our organization today?” A diagnostic approach forces clarity: • How does data really move through the organization? • Where is the actual risk? • Where are we trying to go? Without that clarity, it’s easy to end up with polished policies that don’t reflect reality, tools that don’t quite fit the operating model, and audits that uncover surprises. When organizations start with a clear picture of their environment, governance becomes much more practical. Policies align with how teams actually work, tools support real needs and audits start validating maturity instead of exposing gaps. With AI adoption accelerating and state privacy laws continuing to expand, reactive compliance spending quickly becomes expensive. Clarity about how your organization actually operates is a far better place to start. Watch the full interview → https://lnkd.in/gbjZwnAb #PrivacyWise #AIGovernance #DataPrivacy
Experience & Education
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Korukea Media
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Honors & Awards
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Pricing Award - Media and Telecom
Pricing Week by SV Pricing Recruiting
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