Next in Media

Mike Shields
  • 0.0 (0)
  • MARKETING
  • EVERY TWO WEEKS

Everything we know about the media, marketing and advertising business is being completely upended thanks to technology and data. We're talking with some of the top industry leaders as they steer their companies through constant change.

  1. 3 DAYS AGO

    What's So Challenging About Cross Platform Measurement?

    Explore how the "cookie apocalypse" evolved into a hyper-fragmented identity landscape where iPhone users, cookieless browsers, and diverse CTV signals have created massive monetization gaps for the unprepared.  I sit down with Intent IQ’s Fabrice Beer-Gabel to reveal why the future of programmatic advertising isn't a choice between deterministic or probabilistic data, but a high-stakes race to balance scale with the 99% accuracy required to prevent AI from amplifying inaccuracies at scale. Episode Takeaways: 🌐 The "Cookie Apocalypse" didn't disappear; it simply evolved into a hyper-fragmented landscape of "idealist" environments across 150 million iPhone users and 70 million cookieless desktop browsers. ⚖️ True identity accuracy isn't a binary choice between deterministic and probabilistic methods but a strategic effort to strike the perfect balance between massive scale and reliable user recognition. 🌍 Global compliance requires a nuanced, jurisdiction-specific approach because adopting a single "strictest" standard unnecessarily limits reach and creates a massive competitive disadvantage. 🌉 Bridging the gap between proprietary "data spines" and "biddable identifiers" is the only way to actually translate deep audience insights into real-world programmatic transactions. 🤖 AI acts as a powerful force multiplier for identity resolution, but it poses a systemic risk by amplifying bad data into "inaccuracy at scale" if the initial training sets are flawed. 🕷️ Publishers face a sustainability crisis as non-monetizable crawler traffic now outweighs human visitors by a staggering 200-to-1 ratio. 📈 Mastering identity resolution delivers a massive ROI punch, with the potential to double advertiser reach and lift publisher ad revenue by as much as 60%.Time Stamps: 00:00 Introduction to Identity Resolution Challenges and Intent IQ Overview  1:53 The Fragmented Identity Landscape and Signal Constraints  4:06 Deterministic vs Probabilistic Identity Debate  5:33 Mobile Identity Evolution and Cross-Platform Similarities  7:25 Regulatory Complexity and Compliance Strategies  9:36 Intent IQ's Business Model and Client Examples  12:45 Walled Gardens vs Open Ecosystem Competition  15:00 AI's Impact on Identity Resolution and Industry Transformation  17:54 Agentic AI and Content Protection Concerns  19:38 Identity Accuracy Crisis and AI Amplification Risks  21:45 ROI Impact and Business Outcomes  22:50 Strategic Advice for Brands in a Changing Landscape

    24 min

  2. 31 MAR

    How Mike Law Is Navigating the CTV Targeting Puzzle at Carat

    In this episode of Next in Media, I sit down with Mike Law, CEO of Carat North America, to talk about one of the biggest tensions in modern media: the push for more targeted TV advertising versus the risk of going too narrow and losing brand growth. Mike and I discuss how brands have at times gotten too addressable, siloing themselves into repeat customers while forgetting to grow the top of the funnel. We dig into the fragmentation challenge across streaming, CTV, and social video, and why defining your audience has never been harder with a million data sets and walled gardens competing for attention. We also get into how YouTube is becoming more like TV every day, the evolving role of creators in upfront conversations, and whether creator media belongs in the same budget bucket as a big show on CBS. Mike shares how Carat is using AI agents to run multiple media plan scenarios in minutes instead of hours, and we explore what the next generation of media planners (AI native, digital native) will bring to the industry. We wrap up talking about measurement, why the industry needs to come together to solve identity and addressability, and what Go Addressable is doing to advance deterministic audience-based advertising at scale. __________________________________________________ Key Highlights   📺 CTV Targeting vs. Brand Growth: Mike argues that brands have sometimes gotten too addressable, squeezing existing customers dry before realizing they need to find new audiences to grow the business. 🔀 Fragmentation Is the Core Challenge: With a million data sets, walled gardens, and consumers bouncing between streaming, search, and LLMs in seconds, the media planning landscape is what Mike calls a "bowl of spaghetti." 📱 YouTube as TV Replacement: Mike sees YouTube becoming more like television every day, but its dual identity as both a TV replacement and a social video performance platform makes it tricky to plan against. 🎥 Creators in the Upfront: Long-form, episodic creators are increasingly part of upfront conversations, but the question remains whether they belong in the TV budget or require their own planning approach. 🤖 AI Agents for Media Planning: Carat is using AI agents to generate eight to ten versions of a media plan at once, letting planners compare trade-offs and craft strategy faster than ever. 📊 The Measurement Gap: Cross-platform measurement remains fragmented, and Mike believes the industry needs to come together to solve identity and comparability across CTV, linear, and digital. 🌐 Go Addressable and Industry Collaboration: The episode is part of a special series with Go Addressable, the trade organization working to advance deterministic audience-based advertising across the full TV ecosystem. __________________________________________________ Resources & Next Steps   🌐 Learn more about Go Addressable at GoAddressable.com 🔗 Follow Mike Law on LinkedIn 🎧 Subscribe to Next in Media on Apple Podcasts __________________________________________________ Timestamps   00:00 Cold open: the state of TV targeting and brand growth 01:07 Introducing Mike Law, CEO of Carat North America 01:43 Where we are with CTV targeting today 03:25 When brands get too addressable and forget reach 05:00 The cycle of squeezing audiences and finding new ones 06:50 Fragmentation, walled gardens, and identity challenges 08:50 How identity resolution tools are evolving 10:15 YouTube as a TV replacement and where it fits 12:53 YouTube in the upfront: TV bucket or something else? 14:47 Creators in upfront conversations and long-form episodic content 17:30 The premium creator economy and brand integrations 19:30 AI in media planning: what is changing day to day 22:00 AI agents running multiple plan scenarios at Carat 23:13 The next generation of media planners (AI and digital native) 25:30 Measurement challenges across platforms 27:30 Industry collaboration and lessons learned 28:42 Wrap up and Go Addressable sponsor message

    30 min

  3. 24 MAR

    Ryan Detert on Why Publicis Made Its Biggest Bet on Creator Marketing

    In this episode of Next in Media, I sit down with Ryan Detert, CEO of Influential, the creator marketing company that was acquired by Publicis in 2024. Since the acquisition, Influential has seen massive growth, also acquiring Captiv8 to build out a global offering combining technology, services, and measurement all in one place. Ryan and I dig into how brands are structuring their creator teams, why a center of excellence led by media is where the most success is happening, and how technology (especially brand safety tools) has become the non negotiable foundation for scaling influencer campaigns. We also cover the measurement question that every marketer is asking: can you prove creator ROI? Ryan walks us through how MMMs are finally capturing creator value, why always on strategies beat tentpole campaigns, and how platforms like YouTube, TikTok, and Instagram are each fighting for attention in different ways. We get into the AI question too, from "slop" concerns to the future of creator likeness licensing and NIL rights. Ryan makes the case that AI will transform the back end of the business (speed, sourcing, brand safety) long before it replaces human creators in the feed. Plus, Ryan shares why the greatest ROI often comes from 100 micro creators rather than one mega deal. __________________________________________________ Key Highlights   🚀 Influential's Post Acquisition Growth: Since being acquired by Publicis in 2024, Influential has seen "massive multiples" of growth and also acquired Captiv8 to consolidate technology, measurement, and services into one global platform. 🛡️ Brand Safety as the Foundation: Ryan calls it the "Hippocratic Oath" of influencer marketing. With 15 million plus creators in their database, technology is essential for vetting creators across profanity, nudity, hate speech, and reputational risk before any campaign launches. 📊 Proving Creator ROI Through MMMs: Influencer marketing is a $35 billion TAM because it works. Ryan explains how media mix models are finally capturing creator value, and why brands need to break down creator spend by platform, paid vs. organic, and on vs. off social to get accurate measurement. 📺 The Platform Attention Wars: YouTube dominates long form because it pays creators the most. TikTok owns the meteoric rise. Instagram is aspirational. Meta is a messaging platform. Every platform has both a live strategy and a TV strategy, and all are competing for the same attention. 🤖 AI and Creator Content Transparency: AI is "not a dirty word" as long as it augments a real human. Ryan believes brands will embrace AI generated creator content only when NIL licensing ensures creators are compensated and consumers don't feel duped. 🎯 Micro Creators vs. Mega Deals: For brands with a $2 million budget, 100 targeted micro creators often outperform a single mega creator deal. Ryan compares it to buying one Super Bowl ad vs. going deep across cable networks. 🔄 Always On Beats Tentpole Campaigns: Brands that only activate around the Super Bowl, summer, and holidays are letting competitors eat their lunch in between. Long term creator partnerships drive both efficiency and authenticity. __________________________________________________ Resources & Next Steps 🌐 Learn more about Influential 🎧 Subscribe to Next in Media on Apple Podcasts __________________________________________________ Timestamps   00:00 Cold open on creator marketing growth and AI 01:13 Meet Ryan Detert, CEO of Influential 02:07 Life after the Publicis acquisition 04:04 Where creator teams fit inside brand organizations 06:04 Technology's role in scaling influencer marketing 07:00 Brand safety as the non negotiable first step 08:52 Managing creator campaigns at scale 09:44 Proving creator ROI through measurement and MMMs 12:43 YouTube on TV and the platform attention wars 16:11 Micro vs. macro creators and where the real ROI lives 18:22 AI transparency and the slop problem 20:46 Creator likeness, NIL, and AI generated content 23:05 Episodic content and always on brand partnerships 25:04 The future of creator marketing in three to five years

    27 min

  4. 17 MAR

    How Yahoo DSP Is Winning the Identity and CTV Wars with Adam Roodman

    In this episode of Next in Media, I sit down with Adam Roodman, General Manager of Yahoo DSP, to talk about how Yahoo has quietly built one of the most compelling demand side platforms in the market. Adam walks through Yahoo's positioning in the ongoing DSP wars, why their identity graph and ConnectID solution give advertisers an edge in a world of increasing signal loss, and how the platform's deep roots in connected TV and live sports are creating new opportunities for performance marketers. We also get into Yahoo's massive supply path optimization efforts and why having fewer, higher quality paths to inventory is becoming a real differentiator. Adam and I also dig into the rapidly evolving world of agentic AI in advertising and what it actually means today versus the hype. He shares Yahoo's perspective on the protocol debate between A2A and MCP, why data quality and content accuracy are table stakes for AI agents, and how Yahoo is building an "AI librarian" function to ensure agents can operate with the right context. We also explore how CTV inventory has exploded on the platform, why live sports are changing the addressable advertising landscape, and Adam's take on whether AI will truly reduce headcount or just shift how teams operate. __________________________________________________ Key Highlights   🏆 Yahoo DSP in the DSP Wars: Adam explains why Yahoo is committed to the DSP business for the long haul, leveraging their unique combination of owned and operated properties, a massive identity graph, and deep integrations with premium supply. 🔐 Identity as a Competitive Moat: Yahoo's ConnectID and proprietary identity graph give advertisers access to durable, individual-based data across browsers, devices, and CTV, driving better performance in a signal-loss world. 📺 CTV and Live Sports Explosion: The amount of live sports on Yahoo's platform has doubled in nine months, and addressable, biddable premium CTV and audio inventory continues to surge, opening new opportunities for performance marketers. 🤖 Agentic AI and the Protocol Debate: Adam shares Yahoo's view on the A2A vs MCP protocol discussion, emphasizing that agentic AI is not a strategy in itself. It's about how you operate it and ensuring agents have access to accurate, contextual data. 📚 The AI Librarian Function: Yahoo is evolving from a "tech writer" approach to an "AI librarian" model, ensuring that content, documentation, and data fed into AI systems are high quality, accurate, and written with good context. 🔗 Supply Path Optimization at Scale: Yahoo has reduced tens of thousands of supply paths down to focused, high quality routes, improving auction dynamics and giving advertisers cleaner access to premium inventory. ⚡ AI Won't Replace Teams, It Will Reshape Them: Adam argues that AI adoption in advertising is less about replacing people and more about conviction and operational change, predicting that early movers will see compounding advantages. __________________________________________________ Resources & Next Steps   🌐 Learn more about Yahoo DSP and ConnectID 🔗 Follow Adam Roodman on LinkedIn 🎧 Subscribe to Next in Media on Apple Podcasts __________________________________________________ YouTube Chapter Timestamps   00:00 Cold open: identity, CTV, and agentic AI in advertising 01:46 IntentIQ ad: privacy-first identity resolution 02:10 Meet Adam Roodman, GM of Yahoo DSP 03:30 Yahoo's commitment to the DSP business 05:20 ConnectID and Yahoo's identity advantage 07:30 How identity drives better CTV performance 09:45 Live sports doubling on the platform 11:30 Supply path optimization and auction quality 13:40 The DSP wars and competitive positioning 16:00 Agentic AI: what it means today vs the hype 18:30 The A2A vs MCP protocol debate 20:45 Building the AI librarian function at Yahoo 23:00 Data quality as table stakes for AI agents 25:30 Will AI reduce headcount in advertising? 28:00 CTV inventory explosion and addressable audio 30:30 Advice for brands getting started with AI 33:00 Wrap up: Yahoo's Adam Roodman, Sabio, and IntentIQ

    34 min

  5. 10 MAR

    How Sam Garfield Is Building Adobe's AI Operating System for Advertising

    In this episode of Next in Media, I sit down with Sam Garfield, Head of Digital Strategy for CMT Data and AI Platforms at Adobe, to explore how Adobe is quietly becoming the backbone of modern marketing. Sam breaks down how Adobe operates across three core layers: the creative layer (Creative Cloud and Firefly AI), the content supply chain layer (Workfront and asset management), and the data and experience layer (customer data platforms and analytics). Together, these tools form what Sam describes as an operating system for marketers -- a full-stack solution that takes a brand from ideation all the way through activation and measurement. We also dig into the rise of creative intelligence and what it means for brands, agencies, and the future of advertising. Sam unpacks Adobe's Winterberry Group research showing a 23% increase in investment in creative intelligence, and explains why creative can no longer be treated as a fixed cost. We cover how generative AI is accelerating asset production at scale, why agencies are leaning into Adobe's platform rather than building from scratch, and how agentic AI is beginning to appear inside existing workflows. Sam also reveals that traffic to brand sites and publishers is down 40% as LLMs reshape discovery, and shares how Adobe's new LLM Optimizer tool is helping brands regain visibility in a generative search world.   Key Highlights 🖥️ Adobe's Marketing Operating System: Sam breaks down how Adobe's three-layer platform -- creative, content supply chain, and data -- functions as an end-to-end OS for brands and agencies. 🤖 Generative AI and the Asset Scale Problem: Sam walks through the math problem facing global brands -- producing assets across formats, languages, and channels -- and why generative AI is the only scalable solution. 📊 Creative Intelligence Is the Next Frontier: Adobe's research with Winterberry Group found a 23% increase in creative intelligence investment -- and Sam explains why understanding why content performs is becoming as systematic as audience targeting. 🏢 Agencies Are Building on Top, Not From Scratch: Major holding companies are integrating Adobe into their proprietary platforms rather than building from scratch -- including a recently expanded WPP partnership. 🔍 LLMs Are Reshaping Brand Discovery: Adobe's research shows traffic to brand sites is down 40% as AI changes how consumers find information. Sam shares how Adobe's new LLM Optimizer helps brands monitor and improve their visibility inside AI-generated results. ⚡ Agentic AI Is Here but Still Early: There is no end-to-end agentic advertising solution yet. Adobe's approach is to embed agentic tools inside existing workflows so teams can get started without overhauling their entire operation. Resources & Next Steps 🌐 Explore Adobe's Marketing and AI Solutions 🔗 Follow Sam Garfield on LinkedIn 🎧 Subscribe to Next in Media on Apple Podcasts   YouTube Chapter Timestamps 00:00 Cold open -- AI's impact on advertising and brand discovery 01:00 Mike introduces Sam Garfield and Adobe's role in ad tech 01:30 Sam's background and Adobe's history in advertising 02:00 Adobe's three-layer marketing platform explained 03:00 The 'operating system for marketers' concept 03:50 Who is Adobe's customer -- brands, agencies, or publishers? 04:20 The expanded WPP and agency partnership announcement 05:10 Where creative AI optimization stands today 05:40 The asset scale math problem facing global brands 06:20 Laying the generative AI foundation for creative 07:10 From production efficiency to intelligent automation 08:00 Precor creative intelligence and variation at scale 08:40 How conservative vs. progressive brands approach AI 09:10 Adobe Firefly and legally obtained training data 09:40 Workflow integration as the real barrier to adoption 10:10 Humans as creatives, AI as the production layer 10:50 How Adobe fits alongside platform-native AI tools 11:30 Why CMOs won't hand over full creative control to platforms 13:30 Adobe's Winterberry Group creative intelligence research 14:00 Creative as a performance driver, not a fixed cost 14:30 The 23% increase in creative intelligence investment 15:00 Where creative intelligence works -- display, social, CTV 15:30 Early findings and the testing and learning phase 16:10 Are creative agencies threatened or empowered by AI? 16:30 How major holding companies are building on Adobe's OS 17:10 Automating rote work to free up strategic creative thinking 18:20 Creative AI and media buying converging 19:00 Data and creative intelligence coming together at Adobe 19:40 The future of always-on marketing vs. campaign flights 20:20 The network operations center vision for marketing 21:00 Agentic AI in advertising -- where things actually stand 21:30 Adobe's approach to building agentic tools inside workflows 22:00 What agentic audience pulling looks like in practice 22:30 The future of media agencies in an algorithmic world 23:10 People doing higher-value strategic work, not less work 23:40 How brands are showing up inside LLMs 24:00 Adobe's research -- traffic to brand sites down 40% 24:30 Introducing the LLM Optimizer tool 25:00 Structuring content for generative engine optimization 25:40 Will search ad budgets shift to LLM visibility strategies? 26:20 The unknown future of advertising inside AI-generated results 27:10 Wrap-up -- the fulfillment of advertising's long-promised future

    28 min

  6. 3 MAR

    Why Philip Inghelbrecht Is Betting Against Programmatic CTV

    In this episode of Next in Media, I sit down with Philip Inghelbrecht, Co-Founder and CEO of Tatari, to unpack why one of the most innovative companies in TV advertising has built its entire thesis on a contrarian idea: that programmatic CTV is the wrong tool for most of the television market. Philip walks through how Tatari operates as a full infrastructure holding company, combining a demand-side platform, a supply-side solution called Upstream, and a privacy and identity layer called Vault. From day one, Tatari has argued that unlike display advertising, connected TV is dominated by a small number of premium publishers, and that automating around them rather than through open exchanges is the smarter path forward. Philip breaks down the $30 billion US CTV market, explaining how roughly half flows through programmatic channels and how up to half of that programmatic slice is fraud or low-quality inventory. The premium inventory that actually drives results, including sports, tentpole events, and top-tier streaming placements, lives almost entirely outside programmatic pipes and has historically required massive budgets and manual negotiation to access. That is exactly the gap Upstream was designed to close. By building custom, direct integrations with the five biggest TV publishers, including Disney, Warner Bros., NBCUniversal, and Paramount, Tatari has automated that direct buying process end to end, giving a much broader range of brands access to premium TV inventory without sacrificing pricing control, brand safety, or transparency.   Key Highlights 📡 Programmatic CTV Is Built on the Wrong Foundation: Philip explains why the SSP/DSP model designed for display advertising is a poor fit for connected TV, where 90% of streaming impressions come from the same top 10 publishers and the most valuable inventory never appears in an open exchange. 💰 The $30 Billion Reality Check: Of the roughly $30 billion US CTV market, about $15 billion flows through programmatic. Philip reveals that up to half of that programmatic pool is fraud or low-quality supply, meaning only $7 to $8 billion represents genuinely premium inventory. 🚀 Upstream Brings Automation to Direct TV Deals: Tatari spent nearly two years building one-to-one tech integrations with Disney, Warner Bros., NBCUniversal, and Paramount, enabling fully automated direct buys that preserve the brand safety and pricing control of traditional direct sales while eliminating manual overhead. 📺 Premium TV Is Now Within Reach for More Brands: Upstream shifts TV advertising from a big-budget brand privilege to something accessible to a much broader set of advertisers. Brands that never could have accessed premium placements now have a real path in, and early publisher partners have already seen doubled transaction volume during the test period. 🤖 AI in TV Advertising Has Promise But Real Limits: Philip is measured about AI's near-term impact on TV. He sees immediate wins in automating creative pre-approval and longer-term potential in data-driven yield optimization for publishers, but pushes back on the idea that AI will quickly transform the TV creative production process.   Resources & Next Steps 🔗 Follow Philip Inghelbrecht on LinkedIn 🌐 Explore Tatari 🎧 Subscribe to Next in Media on Apple Podcasts   Chapter Timestamps 00:00 Cold open - the programmatic CTV reality check 01:18 Introducing Philip Inghelbrecht and Tatari 01:58 Tatari's three-product infrastructure stack explained 03:30 Why programmatic does not fit connected TV 05:00 The problem with SSP aggregation in a concentrated market 06:17 How Upstream was born from supply-side tech 07:22 Breaking down the $30 billion CTV market 08:06 Half of programmatic CTV is fraud or low quality 09:44 Building direct integrations with Disney, Warner, NBCU, Paramount 10:17 How automation benefits publishers and speeds up transactions 11:45 Doubling volume with early publisher partners 12:28 Is TV right for SMBs? Philip's honest take 13:47 Where Upstream takes the market next 15:00 Using first-party data to drive higher publisher yield 16:21 Programmatic still has a role, just not the biggest one 17:17 What Dentsu and WPP's open path retreat signals 18:26 Will the walled gardens ever join Upstream? 18:52 What changes for existing Tatari advertisers 20:00 AI and the future of TV advertising 22:11 AI creative tools: impressive but still five days of editing 22:56 AI for creative pre-approval: what works today 24:16 First-party data capture is harder than it looks 25:36 Measurement, look-alike audiences, and machine learning loops 26:13 Closing thought - the biggest TV inventory is not in programmatic

    29 min

  7. 24 FEB

    How Leanne Perice Is Building the Future of Creator Management at Made by All

    In this episode of Next in Media, Mike Shields sits down with Leanne Perice, founder and CEO of Made by All, one of the creator economy's most distinctive talent management firms. Leanne shares how she built the company from the ground up over nine years, starting with a single $1,000 deal in 2014 and growing it into a global powerhouse that doubles revenue year over year. She explains how her early career at a celebrity endorsement agency gave her the blueprint for what great talent management looks like, and how she applied those lessons to an entirely new generation of digital creators. From signing Vine stars before the term 'creator economy' even existed, to opening a new office in Dubai, Leanne has built Made by All on the belief that creators deserve the same strategic investment as Hollywood's biggest names. Leanne also introduces her framework DASI (Distribution, Attention, Storytelling, and Impact) to explain what creators truly offer brands, and why so many marketers are still only tapping into the first letter. She opens up about the CMO turnover crisis slowing momentum in the creator space, why she launched Made by Us as a social storytelling studio, and why she believes YouTube's long-form monetization is the best opportunity in the market right now. She also gives her take on platforms like YouTube and TikTok brokering brand deals directly, the collision of Hollywood and Silicon Valley financial models, and what brands still get wrong about building a presence on social media. This episode is a must-listen for anyone at the intersection of media, marketing, and the creator economy.   Key Highlights 🚀 From $1,000 to Global: Leanne closed her first creator deal in 2014 for just $1,000. By 2015 to 2017, those deals were stacking to $10K, $15K, and $25K a week. Today, Made by All doubles its revenue annually and has just opened its first international office in Dubai. 🎯 The DASI Framework: Leanne coined the term DASI to capture the four things creators offer brands: Distribution, Attention, Storytelling, and Impact. She argues most brands stop at the 'D' and miss the deeper value creators can deliver when treated as true partners rather than just reach vehicles. 🎬 Creator Hollywood: While streaming platforms like Tubi and Netflix are building bridges toward creators, Made by All is betting on the reverse: bringing Hollywood-level IP and infrastructure to the creator world. Leanne describes this as 'Creator Hollywood,' a model she has been building the financial and conceptual vision for over the past eight months. 📣 The CMO Turnover Problem: Leanne points to constant executive turnover at major brands as one of the biggest obstacles to sustained creator partnerships. Her solution is relationship-first thinking, including getting creators in the room with senior brand teams and building personal connections that outlast any single campaign or budget cycle. 📺 Betting Big on YouTube: Leanne is pushing all of her clients toward long-form content on YouTube, calling it the best monetization opportunity in the creator space today. With more ad slots per video and growing ad revenue, she sees YouTube's long-form model as the foundation for sustainable creator businesses, especially as the platform increasingly dominates living room screens. 💡 Made by Us: Leanne's newest venture inside Made by All is a social storytelling studio that positions top creators as creative directors for brands. Rather than just placing clients in sponsorship deals, Made by Us helps brands develop viral content strategies, serialized IP, and stronger owned social platforms using the expertise of creators who understand audiences from the inside out. 🏆 The Power of the Collective: One of Leanne's standout success stories involves six Made by All clients who traveled to Las Vegas for a UFC fight with Paramount. They fulfilled their individual contracts, then spontaneously created one extra post together just for fun. That single unplanned post generated over 1.5 million likes, 30 million views, and 20,000 comments in the first 48 hours.   Resources & Next Steps 🔗 Follow Leanne Perice on LinkedIn 🌐 Explore Made by All 🎧 Subscribe to Next in Media on Apple Podcasts   Chapter Timestamps 00:00 Cold open: Creator economy and building household names 00:53 Intro: Mike sets up the episode 01:00 Meet Leanne Perice and Made by All 01:32 The origin story: nine years and one thesis 02:20 What makes Made by All different from a talent agency 03:10 Holistic creator management: more than just deals 04:30 Leanne's career path: from middle school dream to Hollywood 05:20 First job at a celebrity endorsement agency 05:50 Signing Vine stars before 'creator economy' was a term 06:10 The first $1,000 deal and stacking to $25K a week 07:00 How marketers have evolved in dealing with creators 07:40 Introducing the DASI framework 08:00 Made by Us: creators as creative directors for brands 09:00 Brand spend and the challenge of executive turnover 09:40 Going global: opening the Dubai office 11:10 Hollywood vs. creator economy: two separate financial models 11:50 Building the bridge to Creator Hollywood 12:40 Why Hollywood is still holding on but change is coming 13:20 Alarming speed of the creator world vs. legacy media 14:10 Brokering brand deals: management vs. agents 15:00 Cold calling and building brand relationships since 2014 15:50 Weekly email blasts to 5,000 brands and agencies 16:30 Why management has an edge over agents in the creator space 16:50 Streamlining brand deals with AI and tools like KOMI 18:00 When creators should lead the creative brief 19:00 The Made by Us social storytelling incubator 19:30 CMO turnover and the need for relationship-first brand strategy 20:00 How intentional creator relationships unlock better campaigns 21:00 Success story: UFC fight with Paramount, 30 million views 22:00 Qatar Airlines, Abu Dhabi, and global creator deals 22:20 The NFL's creator-first approach as a model for brands 23:00 YouTube and TikTok brokering deals internally 23:40 What Leanne wants to see improved: local and global platform metrics 25:00 YouTube's rise in the living room and long-form monetization 25:40 Pushing creators toward long-form content strategy 26:20 TikTok and Instagram moving into TV: will it work? 27:00 Short form on TV vs. the intentional social media experience 27:30 What brands still get wrong about social media 28:00 Closing thoughts and final takeaway

    29 min

  8. 17 FEB

    Charles Manning on Why Measurement Is the Secret Weapon in the Age of Agentic AI

    In this episode of Next in Media, I sit down live at the Kochava Summit in Sandpoint, Idaho, with Charles Manning, founder and CEO of Kochava. We go deep on one of the most pressing questions facing the industry right now: how profound is the shift to agentic advertising and AI-driven workflows? Charles argues it is not a decade-long evolution like programmatic was. It is breathtakingly faster, and the companies that understand how to use their first-party data as a competitive kernel, rather than leaking it to the walled gardens, are the ones that will come out ahead. He draws a compelling analogy: if programmatic changed the auction, AI is about to change the workflow. We also dig into Kochava's CTV journey, from its mobile app roots to building measurement tools adopted by LG, Samsung, Vizio, and Roku, and how the view-and-do combo between the TV screen and the mobile device is creating powerful new outcome-based measurement opportunities for brands. Charles breaks down what holding companies should fear (and fix), why the ad tech supply chain is due for serious consolidation, and why he predicts a wave of take-privates and roll-ups followed by a bonanza of public offerings over the next two years. He also introduces Station One, Kochava's integrative AI hub that acts like a Slack for AI workflows, designed to help teams transform how they work without giving up control of their data.   Key Highlights:⚡ AI vs. Programmatic: Charles explains why the shift to agentic advertising is moving breathtakingly faster than programmatic did. While programmatic took over a decade to fully reshape the auction, AI is set to transform the entire workflow within the next 16 months. 🔒 Protect Your Data: Charles identifies the two biggest risks brands face in the AI era. First, leaking proprietary data to platforms like Meta and making them smarter without benefiting your own organization. Second, failing to develop a unique "how" that cannot be replicated when everyone has access to the same AI tools. 📺 CTV Measurement Evolution: Kochava's Atlas Performance product now powers CTV measurement for LG, Samsung, Vizio, and Roku by connecting the view on the television screen with the action on the mobile device, giving brands a clear picture of real business outcomes from their CTV spend. 🤖 Station One, a Slack for AI: Charles introduces Kochava's Station One platform, an integrative AI hub that lets teams connect models, codify skills, build knowledge bases, and containerize workflows into shareable workspaces, all while keeping data ownership firmly in the hands of the brand. 📉 Ad Tech Consolidation Is Coming: Charles predicts a significant collapse in the ad tech supply chain, with SSPs and DSPs already moving into each other's territory. He also foresees a wave of take-privates and roll-ups over the next 16 months, as companies use the cover of private ownership to restructure for the AI era, followed by a major IPO bonanza. 💼 The Future Workforce: As AI handles more of the analytical grunt work, Charles argues the most valuable skill in the industry is shifting away from data science and toward clear communication. The ability to articulate your goals to an AI model is becoming the defining talent of the next generation of media professionals.   Resources & Next Steps:🌐 Explore Kochava and learn more about Atlas Performance and Station One 🔗 Follow Charles Manning on LinkedIn 🎧 Subscribe to Next in Media on Apple Podcasts   Chapter Timestamps:00:00 Cold open - AI disruption and the next 16 months 01:00 Welcome and introducing Charles Manning of Kochava 01:20 Revisiting a past conversation and what has changed 01:45 Setting the stage - agentic advertising and the metaverse PTSD problem 02:20 The next decade is really the next 16 months 03:10 How fast is this vs. the programmatic shift? 03:50 MCP, APIs, and how AI wraps the workflow 05:20 Machine learning from reach optimization to business outcomes 06:10 From post-campaign briefs to real-time workflow automation 07:20 Why big platforms like Meta and Google got even stronger with AI 08:00 The two biggest risks brands face in the AI era 09:00 The "how" is as important as the "what" - competitive differentiation 09:50 Can agencies avoid being commoditized by AI? 10:20 Vertical AI and why domain expertise matters 12:00 Measurement as an odometer vs. measurement as a decision engine 13:20 The racing clutch analogy - agile measurement for agile goals 14:00 Who fills the seats next? The shift from data scientists to communicators 15:00 Tasks that get reallocated and skills that become more valuable 16:00 How far away is autonomous agentic media buying? 16:30 Guardrails, budget constraints, and agent managers 17:10 Introducing Station One - Kochava's AI workflow hub 18:10 How teams transition from human workflows to AI-assisted execution 19:00 Kochava's CTV journey - from mobile app roots to the living room 20:10 The 80-inch mobile device and why OEMs saw the pattern 21:20 Why OEMs pushed back and how Atlas Performance was born 22:10 LG, Samsung, Vizio, Roku - how they became Kochava customers 23:00 Is CTV performance TV? How should we measure it? 23:40 The view-and-do combo - TV impressions and mobile actions 24:10 QSR and loyalty programs - CTV driving real consumer behavior 25:00 Why AI optimization has not hit CTV the way it has Meta and Google 26:00 Station One as the connective tissue for CTV and the broader ecosystem 27:20 Will more ad dollars flow to television? Charles says yes, and soon 28:30 Audience Q&A - how to prove CTV incrementality to your CFO 29:00 The Machine Zone story and what it taught Charles about media mix 31:30 Why media mix modeling finally works in the AI era 32:10 What happens to ad tech? The daisy chain gets disrupted 33:00 SSPs and DSPs are already moving into each other's territory 34:00 More money in media, less ad tax - where the dollars go next 35:00 Premium inventory, exclusive access, and the sports betting parallel 36:10 IO-level programmatic guaranteed - a bold prediction 37:00 The biggest obstacle ahead - take-privates, roll-ups, and an IPO bonanza 38:30 Wrap-up and closing thoughts

    39 min
See All (283)

About

Everything we know about the media, marketing and advertising business is being completely upended thanks to technology and data. We're talking with some of the top industry leaders as they steer their companies through constant change.

Information

  • Creator
    Mike Shields
  • Years Active
    2020 - 2026
  • Episodes
    283
  • Rating
    Clean
  • Copyright
    © 2024 Next in Media
  • Show Website
    Next in Media

You Might Also Like