Next in Media

Next in Media

By Mike ShieldsBusinessNewsMarketingTech News
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Next in Media episodes

  • How NBAT2 is Building Gateway Content for Gen Z

    Traditional sports broadcasts are evolving into multi-platform cultural ecosystems driven by social media, gaming metaverses, and athlete creators.

    NBA Take-Two Media CEO Andrew Perlmutter explains how media brands can build participatory off-court entertainment that converts casual viewers into lifelong fans.

    Key Highlights

    ๐Ÿ€ Live sports remain one of the few shared cultural anchors, using basketball as a natural entry point into fashion, music, and lifestyle programming.

    ๐ŸŽฎ Video games like NBA 2K function as interactive virtual spaces where fans build real connections by playing directly against actual NBA stars.
    ๐Ÿ“ฑ Content strategy requires building custom video formats tailored specifically to how people consume media on Instagram, TikTok, or YouTube.
    โšก Younger fans demand hands-on participation over passive watching, preferring interactive features like call-in hotlines and fan-driven video game simulations.
    ๐ŸŽ™๏ธ Digital media brands must maintain a strong, distinct point of view to avoid getting doused in a sea of generic content.
    ๐Ÿ“บ Live game broadcasts are adapting to second-screen habits through alternate commentary casts and player-specific camera views.
    ๐Ÿ‘Ÿ Successful brand partnerships weave products naturally into entertaining social storylines rather than forcing scripted endorsements or rigid ad reads.

    Resources & Next Steps

    ๐Ÿ”— Andrew Perlmutter on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    2:22 NBA 2K as a metaverse-like participatory experience
    5:30 Sports as an expanding cultural gateway
    7:19 NBA R&D and accessible basketball-pop-culture formats
    9:05 Joakim Noahโ€™s Nomad and athletes becoming creators
    11:08 Building shows for platforms, brand voices, and talent
    14:19 Gen Z: preserving live-sports drama while enabling participation
    17:00 Co-creation, fan experiments, and new sports entry points
    18:57 Native brand partnerships in basketball-adjacent culture

    23 min
  • "The Frustration is Real" - The NFL Unloads on Nielsen

    Rushed methodology changes implemented mid-season by Nielsen have severely shaken the NFL's confidence in standard television ratings.

    NFL Chief Data Officer Paul Ballew explains how media fragmentation is forcing leagues and networks to demand radical transparency or switch to new transactional metrics.

    Key Highlights

    ๐Ÿ“‰ Changing ratings math in the middle of ad sales season destroys trust and throws billions in ad deals into chaos.

    ๐Ÿค Traditional demographic panels aren't dead, but they are useless unless paired with hard transactional data.
    ๐Ÿ“ฑ Streaming platforms are far more likely to ditch legacy ratings than traditional TV networks.
    ๐Ÿ‘ฅ Broken co-viewing math leaves huge money on the table for blockbuster events like the Super Bowl.
    โš–๏ธ Old-school measurement giants are trapped in the innovator's dilemma, trying to overhaul the engine while driving the car down the highway.
    ๐Ÿ’ณ TV ad buying will eventually trade on verified subscriber counts and device IDs instead of estimated viewer headcounts.
    ๐Ÿ”„ When measurement firms constantly issue "whoops" restatements, sports leagues have to publish their own audience numbers to save face.

    Resources & Next Steps

    ๐Ÿ”— Paul Ballew on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    1:50 Grading Nielsen's Progress: Mixed Results
    3:57 Three Core Problems Holding Nielsen Back
    5:34 The Currency Wars: More Noise Than Change?
    9:01 CreatorTV Sponsor Segment
    10:07 Why the NFL Cares Beyond Top-Line Numbers
    11:40 The Integrated Weighting Problem and Its Impact on Sports
    13:33 The NFL's Collaborative Approach and Its Limits
    15:54 Panels vs. Big Data: The Right Balance
    17:54 The NFL's Own Data Capabilities and the Transactional Data Argument
    20:04 Nielsen's Cultural Challenge and the Innovator's Dilemma
    22:06 The NFL's Measurement Wish List
    26:38 Could TV Measurement Move Beyond Viewership as a Currency?

    29 min
  • Why Social Video Is Beating Connected TV

    As US video ad spend reaches $82 billion, media buyers are demanding granular audience targeting capabilities alongside bottom-funnel performance metrics. IAB Vice President Chris Bruderle breaks down the shifting dynamics between CTV and social video, the rise of multimodal contextual AI, and why live sports platforms must prove direct ROI to capture long-tail budgets.

    Key Highlights

    ๐ŸŽฏ Targeting Outweighs Raw Performance: Hitting sales numbers isn't enough anymoreโ€”media buyers want to know exactly which audiences drove those conversions before committing budgets.

    ๐Ÿ“ฑ Why Social Beats TV for Small Businesses: Social platforms are pulling away from CTV by giving smaller advertisers easy self-serve AI tools and direct in-app checkout.

    ๐ŸŒ The Open Web Isn't Dead: Web video is still a $20 billion market because publishers are using native video to keep audiences engaged as search traffic drops.

    ๐Ÿ“Š A View Isn't Equal Everywhere: Real measurement normalizes cross-platform data under one framework without pretending a TikTok scroll carries the same weight as a living room CTV impression.

    ๐Ÿ›ก๏ธ Ad Fraud Is a Transparency Problem: Buyers aren't panicking about sudden fraud spikes; they're anxious because publishers still won't clearly disclose where programmatic ads actually run.

    ๐Ÿค– Smart AI Beats Blunt Keyword Blocking: Multimodal AI actually understands video context, saving brand-safe news and pop culture content from being needlessly blocked.

    Resources & Next Steps

    ๐Ÿ”— Chris Bruderle on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Introduction

    4:15 The Overall Health of the Video Ad Market
    6:21 Is the Open Web Dead? Websites Still Matter
    7:05 Measuring Video Across Platforms: Unified but Differentiated
    9:03 Social Video Overtakes CTV: Why SMBs Prefer Social
    10:49 In-Stream vs. Out-Stream: Clearing Up Confusion
    13:43 Ad Fraud and Trust in Programmatic Video
    16:01 Contextual Advertising: AI-Powered Classification as a Solution
    17:42 Agentic AI: Back-End Efficiency vs. Autonomous Spending
    19:29 Shoppable Formats in Video: CTV Must Catch Up
    20:58 TV Branding vs. Performance: Navigating the Full Funnel
    23:06 Advice for Streamers: Live Sports and the SMB Challenge

    27 min
  • Connect YouTube Ad Buys to CTV Campaigns

    Traditional media buying breaks down when attitudinal audience data gets lost between upstream research and downstream media activation. Bright Mountain's Andy Davidson and Deep Focus's Kyle Krueger unpack how synthetic personas, unified YouTube-to-CTV strategies, and responsible creator management keep ad campaigns aligned and effective.

    Key Highlights

    ๐Ÿ”„ Audience research usually gets mangled like a game of telephone once an agency hands off a campaign brief to platforms and creators. ๐Ÿ“บ TV networks ingest data much faster now, letting buyers target real-time viewer interests instead of relying on six-month-old demographic reports.

    ๐Ÿ“ฒ Independent agencies view YouTube as equal to traditional TV because it gives mid-sized brands better targeting, lower costs, and clearer ROI tracking.
    ๐Ÿค– Synthetic audience models allow planners to vet creator selections and test campaign ideas before spending actual media dollars.
    ๐Ÿ๏ธ Travel creators who expose "hidden gems" without ground rules drive over-tourism and trigger serious backlash from local residents.

    Resources & Next Steps

    ๐Ÿ”— Andy Davidson on LinkedIn

    ๐Ÿ”— Kyle Krueger on LinkedIn
    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    1:28 Introduction to Bright Mountain and Deep Focus
    2:46 YouTube Ecosystem Challenges and Creator Studios
    4:04 Data-Driven Audience Targeting and Platform Selection
    7:11 Caribbean Tourism Client Case Study
    8:01 Creator Selection and Audience Validation
    9:12 Synthetic Audience Techniques and Data Ecosystem
    11:17 YouTube's Journey Toward TV Legitimacy
    12:49 Creator Control and Brand Messaging Challenges

    16 min
  • Ace Hardware Retail Media Launch & Strategy

    Ace Hardware's RedVest Media is rewriting the retail advertising playbook by turning a late market entry into a strategic advantage across its 5,200 store footprint.

    Head of Retail Media Molly Hjelm joins Mike Shields to explain why friction-free Pacvue integration, closed-loop endemic attribution, and re-embracing physical stores outperform legacy off-platform tactics.

    Key Highlights

    โฐ The Late-Mover Edge: Launching a network today means skipping years of clunky tech builds and plugging straight into mature e-commerce and delivery setups.

    ๐Ÿค Meet Advertisers Where They Work: Brands hate learning new dashboards; plugging into existing buying platforms like Pacvue removes friction and gets campaigns funded faster.

    ๐Ÿข Co-Ops Require Local Buy-In: You can't force thousands of independent store owners into a corporate playbookโ€”you have to prove the model boosts local store revenue first.

    ๐Ÿ“ˆ Big-Ticket Items Drive Market-Wide Sales: High-priced hardware like grills won't hit impulse CPG conversion rates, but they pull in massive overall revenue across entire markets.

    ๐Ÿ“Š Standard Measurement Builds Instant Trust: Using accredited third-party platforms like CitrusAd gives brands reliable metrics, whereas legacy tools like Marketing Mix Modeling fail in retail media.

    ๐Ÿท๏ธ Physical Aisles Drive the Real Volume: E-commerce gets the attention, but most transactions happen in physical stores, making in-store signage essential for moving product.

    ๐Ÿ›‘ Off-Platform Expansion Kills Retail Context: Dumping shopper data across the open web strips away the store context, breaking closed-loop attribution and frustrating endemic brands.

    Resources & Next Steps

    ๐Ÿ”— Molly Hjelm on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    1:10 Ace Hardware's Late Entry and Co-op Structure
    3:16 Late Mover Advantages and Strategic Timing
    6:42 Building from Experience and Vendor Insights
    7:37 Pacvue Partnership and Portfolio Launch Strategy
    8:44 Industry Experience and Channel Differences
    10:20 Hardware Category Unique Characteristics
    12:43 Non-Endemic Opportunities and Audience Targeting
    14:35 In-Store Media Strategy and Heritage
    16:20 Industry Standardization and Measurement Challenges
    18:05 Consolidation Perspectives and Scale Requirements
    21:46 Creator Content Integration and Social Amplification

    24 min
  • Collectively's Natalie SIlverstein on How to Optimize Creator Video Content

    Collective CIO Natalie Silverstein joins Next In Media to explore how creators are evolving into full-fledged media networks and what it takes for brands to scale authentic partnerships in a hyper-fragmented landscape.

    Natalie, also breaks down real-time crisis agility, strategies for training AI language models on video content, and how to combat the algorithmic reach recession with targeted paid media.

    Key Highlights

    ๐Ÿ“บ YouTube Creator Networks: Creators aren't just making one-off sponsored videos anymoreโ€”they're running multi-show media networks with their own IP.

    ๐Ÿค Scale Without Losing the Soul: Pulling off massive creator runs like Lโ€™Orรฉalโ€™s (think thousands of activations) doesn't mean producing generic slop.

    โšก Real-Time Crisis Agility: Social platforms run on outrage, and minor issues turn into viral fires fast.

    ๐Ÿค– Targeting the AI Audience: LLMs are becoming a key target audience, and they love structured content. Writing scripts and captions with clear, direct Q&As helps AI models pick up your video as an authoritative answer.

    ๐Ÿ“ Matching ROI to the Surface: You can't measure all creator content the same way.

    ๐Ÿข Creator Marketing Goes Core: Major ad holding companies buying up influencer agencies isn't a fluke; it's proof that creator strategy is now table stakes for every serious media plan, not a side experiment.

    ๐Ÿง  The Limits of Tech: AI can overhaul campaign data and software tools, but it can't read a room.

    Resources & Next Steps

    ๐Ÿ”— Natalie Silverstein on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    2:03 YouTube's Creator-Centric Strategy and Content Evolution
    3:12 Scaling Creator Marketing
    6:27 ROI Measurement and Performance Optimization in Creator Marketing
    8:08 Optimizing Creator Content for Large Language Models
    11:26 Industry Consolidation
    13:27 Creator Reach Recession

    16 min
  • How Smart Agencies Really Use AI

    Recorded live at Cannes, Wpromote CEO Andrea Bendzick exposes why agile independent agencies are eating traditional holding companies' lunch while everyone else scrambles to build overpriced tech platforms. She maps out how mixing performance marketing, smart M&A, and hard revenue-backed brand metrics gives modern agencies an unbeatable edge.

    Key Highlights

    โš–๏ธ Independent agencies sit in a sweet spot where they're big enough to handle massive brands but agile enough to pivot while legacy holding companies stay stuck.

    ๐Ÿ› ๏ธ Wasting capital building proprietary AI platforms is a trap when you can simply own your measurement and partner up for execution.

    ๐Ÿง  AI belongs in the trenches clearing out manual grunt work and sorting platform data so your senior talent has space for real strategy.

    ๐Ÿš€ Building brand credibility from scratch takes way too long to win client trust, making smart agency acquisitions the fastest route to scale.

    ๐Ÿ“บ Traditional TV commercials are dying off because creators need to be actual co-producers across streaming and social, not just hired actors.

    ๐Ÿค– Autonomous AI agents need strict human guardrails on day one instead of being left alone to manage ad spend.

    Resources & Next Steps

    ๐Ÿ”— Andrea Bendzick on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    1:32 Independent Agency Advantages in a Disrupted Market
    4:43 Giant Spoon Acquisition and Brand Strategy Integration
    6:05 Creator Television and Advertising Innovation
    9:30 Agentic AI Implementation and Organizational Transformation
    10:52 Care Index and Scientific Brand Measurement
    12:39 Future of Agency Compensation Models

    14 min
  • Cadent's Doug Rozen on How to Unify Your TV, CTV, and YouTube Strategy

    Cadent President Doug Rozen unpacks the hidden organizational silos and ad frequency nightmares plaguing modern video advertising at Cannes. Discover why shifting from audience persistence to contextual TV and total video planning is the ultimate fix for bruised brand performance.

    Key Highlights

    ๐Ÿ“บ Internal agency silos are ruining the viewer experience by slamming consumers with the same ad over and over.

    ๐ŸŽฏ Unifying linear, CTV, and digital into one video plan stops brands from bidding against themselves and burning cash.
    ๐Ÿง  Contextual targeting beats creepy digital tracking by matching ads to real moments and content themes.
    ๐Ÿ” Stop treating YouTube like a side projectโ€”itโ€™s actually the strongest contextual TV platform on the market.
    ๐Ÿ”„ Top media agencies build plans around format (like video or audio) rather than getting stuck in individual channel silos.
    ๐Ÿ“Š Cross-platform measurement only works when you tie specific KPIs to specific funnel stagesโ€”thereโ€™s no magic single metric.
    ๐Ÿ“ˆ Market volatility isnโ€™t a temporary glitch anymore; the best planners accept uncertainty as the new baseline.

    Resources & Next Steps

    ๐Ÿ”— Doug Rozen on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    1:24 The Frequency Problem Across Video Platforms
    2:29 Total Video Strategy: One Plan, One Audience, One Time
    3:48 Contextual TV vs Connected TV Philosophy
    4:44 Strategic Value of Content Context and Predictive Outcomes
    5:48 Unifying YouTube with Traditional TV Strategy
    7:15 Contextual Targeting: Old Concepts Made New
    8:10 Agency Organization and Format-Based Planning
    9:08 Measurement Across the Total Video Funnel
    9:51 Current Marketplace Assessment: Managing Uncertainty

    12 min
  • Inside Spotifyโ€™s Ad Exchange Takeover

    Spotify is shifting from a traditional audio platform into a powerful multi-format ad engine driven by advanced data targeting and transparent, value-exchange sponsorship models.

    Through innovative automated tools and natural language API plugins, the streaming giant is eliminating traditional production barriers so brands of all sizes can easily deploy high-ROAS campaign creative.

    Key Highlights

    ๐Ÿ“บ The Pivot to Video: Platforms can't survive on audio alone anymore; they have to mix in music videos, video podcasts, and live events to keep modern fans hooked.

    ๐Ÿค The Win-Win Ad Model: Giving users a visual takeover with fewer commercial breaks builds real goodwill while driving up actual returns for brands.

    ๐Ÿ”Œ Prompt-to-Purchase Ads: Hooking AI models like Claude straight into the ad API means anyone can script and launch a campaign from a command line without needing an agency.

    ๐Ÿ”“ Killing the Paperwork: Ditching manual insertion orders for instant programmatic buying opens the door for thousands of smaller advertisers who used to be priced out.

    ๐Ÿ“Š Free Measurement Built-In: Native brand lift data and conversion APIs remove the expensive barriers that usually stop brands from tracking true performance.

    ๐Ÿง  Tracking Daily Habits: Tapping into billions of real-time signalsโ€”like skips, listening history, and playlist creationโ€”gives brands a direct line to what users actually like.

    ๐ŸŽค Fixing the Audio Bottleneck: Free text-to-speech AI tools solve the old problem of audio ads being too slow and expensive to make, letting brands spend more budget on runtime.

    Resources & Next Steps

    ๐Ÿ”— Per Sandell on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    1:31 Spotify's Focus on Fandom and Multi-Format Experience โ€Ž
    3:12 Playlist Sponsorship Strategy and Value Exchange โ€Ž
    5:40 Creator AdSpot Innovation in Television Advertising โ€Ž
    6:57 Spotify Ad Exchange Development and Access Expansion โ€Ž
    8:47 Measurement Solutions and First-Party Data Integration โ€Ž
    10:29 Generative AI Adoption and Data Utilization โ€Ž
    12:04 Command Line Integration and Natural Language Processing โ€Ž
    12:57 ROI Pressure and Measurement Evolutionโ€Ž
    14:01 Audio Advertising's Unique Value and Attribution Challenges โ€Ž
    15:21 Future of Audio Advertising and ROI Potential โ€Ž

    17 min
  • Why Creators Actually Need Brands (And Not The Reverse)

    Recorded live at Cannes, this episode explores the shift from surface-level ad efficiency to true business effectiveness in a hyper-fragmented media landscape.

    VaynerX's Jon Morgenstern delivers a masterclass on navigating the creator economy, leveraging YouTube's cross-screen dominance, and using common-sense attribution to cut wasteful ad spend without harming the bottom line.

    Key Highlights

    ๐Ÿค Economically speaking, creators need brands far more than brands need creators to fund their operations, despite the cultural relevance they offer in return.

    ๐Ÿ“บ YouTube has officially evolved past platform debate, shifting into an undisputed, ubiquitous streaming giant that requires agencies to bridge the gap between CTV and social budget buckets.

    ๐Ÿš€ Top-tier creators function effectively as independent mini media companies, but they succeed through platform coexistence rather than attempting to directly compete with tech giants like Meta or Amazon.

    ๐Ÿ“‰ The industry is facing a critical pivot away from legacy efficiency metrics like programmatic cost-per-view toward outcome-driven, actual business effectiveness.

    ๐Ÿ—ณ๏ธ Organic social media acts as a true meritocracy where superior content wins naturally, serving as a brutal reminder that you cannot simply buy your way out of poor engagement.

    ๐Ÿ“Š Cross-platform measurement remains highly probabilistic due to fragmented view definitions across TikTok, Reels, and YouTube, challenging the industry's desire for a master deterministic plan.

    ๐Ÿ›๏ธ Scaling creator integration effectively requires leveraging platform-native tools like TikTok Shop ecosystems rather than relying entirely on traditional legacy talent agencies.

    Resources & Next Steps

    ๐Ÿ”— Jon Morgenstern on LinkedIn

    ๐ŸŽง Subscribe to Next in Media on Apple Podcasts and Spotify

    Chapter Timestamps

    00:00 Intro

    1:11 Live Recording Setup and Upfront Market Overview
    2:45 Upfront Deals and New Market Dynamics
    4:31 YouTube's Evolution Beyond Platform Categorization
    5:29 Creator Studios as Media Companies
    6:41 VaynerX's Unique Position in Creator Economy
    7:50 Short-Form vs Long-Form Content Measurement
    8:57 Organic Content as True Meritocracy
    10:58 YouTube Integration with Traditional TV Metrics
    13:01 Scaling Creator Campaigns and Programmatic Approaches
    14:38 Creator Economy's Capacity for Ad Dollars
    16:11 Economic Reality Check for Creators
    17:36 Attribution and Common Sense Marketing
    20:01 Questioning Always-On Media Spend

    25 min

About Next in Media

From the publisher's feed

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 steerโ€ฆ

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