State of Streaming Podcast

Have a question? Send us a text! Tim sits down with Shawne Merriman , three-time Pro Bowler and CEO of Lights Out Sports TV , to trace the journey from defensive end to streaming architect — and unpack the 5G broadcast technology he's been quietly building for a year that could fundamentally change the economics of live sports delivery. From the field to the production truck to the boardroom — how Shawne was taking notes the whole time. Shawne Merriman started asking camera operators questions during pregame warmups in San Diego. He went from NFL AM at 3 a.m. — the broadcast boot camp that became Good Morning Football — to Fox Sports, ESPN, the WWE Network, and MMA promotion. By the time he launched Lights Out Extreme Fighting on Fox Sports Regionals in the same timeslot UFC vacated, he had already spent years picking up intel at Fubo's offices, sitting in Pluto's LA suite when they had 12 employees, and watching the streaming industry build itself from the inside. 2:39 – Why Shawne was asking camera operators questions during pregame warmups 4:15 – NFL AM: the 3 a.m. broadcast boot camp that became Good Morning Football 6:14 – Pitching Lights Out Extreme Fighting to Fox Sports the day UFC left — and landing it Programmatic alone doesn't work unless you're Pluto. Direct ad sales is how you build a real business. FAST looked promising — until Shawne ran the numbers. Programmatic revenue doesn't scale for a sports property unless you're already at Pluto-level monthly actives. The model that actually works: direct-sold ads anchored by live sports, with enough complementary content on the platform to create a trickle-down viewing effect when the game ends. It's the same math Paramount+ is running with the NFL and Landman. Shawne's running a version of it with LXF, Glory Kickboxing, World Poker Tour, and high school football. 9:17 – How Shawne learned the FAST business from the inside — including what programmatic actually pays 18:32 – Why direct ad sales is the only way to meaningfully grow revenue for a live sports property 20:47 – The trickle-down effect: why live sports is the top of the funnel, not the whole funnel One signal to a million people. The 5G broadcast technology that could change live sports economics. The fundamental cost problem in live sports streaming: one million concurrent viewers means one million simultaneous CDN signals. Costs scale linearly with audience. Shawne has spent the last year and a half embedded with a company building 5G broadcast technology that flips that model — one signal delivered to millions via low-power tower infrastructure, with no congestion, no dropout, and built-in compatibility with the new chipsets coming to mobile devices. The announcement hasn't been made yet. But the math is already solved. 13:51 – Why CDN costs are the live sports streaming industry's biggest unspoken problem 14:54 – The 5G broadcast technology: one signal to millions, no congestion, no dropout 15:26 – How new mobile chipsets unlock billions of addressable devices as 6G comes online DTC wins. The platforms that figure it out first take the long game. Shawne called it three to four years ago: the streaming services that win long term are the ones that solve direct-to-consumer. Not because of price — most consumers will absorb a couple extra dollars. Because of experience. The navigational friction of jumping between Netflix, Paramount+, ESPN, and Hulu is the real complaint. Whoever solves the bridge — seamless access, unified data, direct fan engagement — owns the next decade. 11:00 – Why DTC is the only long-term winning strategy in streaming distribution 15:52 – How the closed network model lets platforms push products and rewards directly to viewers 17:06 – The math problem streaming is now in: responsible scaling, not growth at all costs How high school football is paving the way for high school sports streaming. St. Francis vs. IMG Academy. Shawne has exclusive broadcast rights, drone production planned, fan engagement built in, and conversations underway with multiple networks and platforms. He produced the East-West Shrine Bowl practices live for the first time in the event's 100-year history. High school sports is the next frontier — and he's building the production infrastructure for it. 21:37 – The St. Francis vs. IMG Academy game: why Shawne expects it to be the most watched high school football game in the country 22:00 – Fan engagement as the core production principle: if fans feel connected, viewers follow 22:30 – The East-West Shrine Bowl: 100-year-old event, first-ever live stream practices Connect with Shawne Merriman on LinkedIn · @ShawneMerriman on all platforms · Lights Out Sports TV Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with Mark Stenberg , Senior Media Reporter at Adweek , to unpack the real ripple effects of Meta's $17 billion teen settlement — what it actually means for media buyers, whether YouTube gets dragged into the same restrictions, where youth advertising budgets go if mobile supply shrinks, and why the microdrama format might be the most interesting disruption nobody is talking about yet. $18 billion sounds like a reckoning but it's only $1.2 billion a year for a company that made $60 billion last quarter. The coalition of state attorneys general asked for $200 billion. They settled for $12 billion cash plus a conditional $5 billion — spread over ten years. Meta's stock went up. The more interesting part isn't the number. It's the conditions: reduced notifications during school hours, dark mode after midnight, a two-hour daily usage cap for teens. And the conditional $5 billion only triggers if YouTube, TikTok, and Snap agree to implement the same restrictions — Meta's lawyers took hostages on the way out. 1:47 – The settlement breakdown: $12B certain, $5B conditional, $1B to the Texas AG 2:44 – The teen restrictions: notifications, dark mode, usage caps 7:09 – Why Meta's legal strategy was "if we're going down, we're all going down" The media buy remains unchanged. By and large, the answer from agencies is: we're establishing benchmarks and watching the next 6-12 months. The demographic affected is less than 1% of Meta's revenue. Teens don't have the disposable income of any other demographic. But if YouTube, TikTok, and Snap all get pulled into the same restrictions — and the entire social ecosystem adopts teen safeguards simultaneously — that's a different conversation entirely. The brands paying attention are the ones in fast food, gaming, and fashion. 3:35 – What media buyers actually said: benchmarks, not budget shifts 5:00 – Why less than 1% of Meta's revenue comes from this demographic 6:05 – Australia's under-16 social media ban and the broader legislative trajectory YouTube is different but those differences are disappearing. YouTube has never really been a social media company — it lacks the social graph, it's consumed more like television, and it's been more proactive on parental controls. But Instagram is launching Instagram TV. Microdramas are making streaming look like social. The distinctions that protect YouTube today are eroding. Mark's read: YouTube voluntarily adopts some teen-friendly policies to avoid bad press, but doesn't end up looking exactly like Meta. 9:16 – The CPM gap between YouTube mobile and YouTube on the living room screen 10:26 – Why YouTube's distinctions from social media are continuing to disappear 12:00 – Why YouTube lacking a social graph is one of its biggest internal challenges The biggest creators are acting like media companies. YouTube is paying creators to not talk to Netflix. Jay Shetty. Tom Segura. The talent wars are accelerating — and Mark wrote the cover story on it. The biggest YouTube channels are functioning as standalone IP. Spotify is a dark horse. Fast platforms and institutional capital are getting involved. In 12 months, Spotify will have video, YouTube will have podcasts, Netflix will have music. The platform distinctions we have today won't exist. 13:01 – Why YouTube is paying creators to stay off Netflix 13:36 – Mark's Adweek cover story: creators hitting an inflection point 15:00 – The talent wars: signing creators like unseen NBA prospects Microdramas: the addictiveness of social scrolling plus the IP of Hollywood. A company out of Tel Aviv is using AI to cut licensed Hollywood IP into five-minute, ten-clip highlight reels. A company out of Ukraine is building original IP for the format. The microdrama genre has been massive in China for years. Mark's thesis: if you combine mobile scrolling addiction with genuinely compelling short-form IP, that's a potential sea change — and the dominant player in that space hasn't emerged in the US yet. 16:17 – Why microdramas are the format Mark is most interested in right now 17:00 – The Tel Aviv company cutting Hollywood IP into bite-sized streaming 19:14 – Quibi was six years early. The format is now arriving on time. 📰 Read Mark's piece: What Meta's Teen Settlement Means for Media Buyers More from Mark at Adweek: adweek.com/contributor/m Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with David Dembowski , Streaming TV Architect, to break down the business of live sports streaming through the lens of the Five D's — Digital, Data, Distribution, Discovery, and Delight — and why a 62-second streaming delay during the Super Bowl is more than an engineering inconvenience. It's a business problem that touches every one of them. Why a 62-second delay isn't a tech problem but a failure in customer delight. During Super Bowl 60, Stats Perform placed spotters inside Levi's Stadium and measured the gap between on-field action and on-screen delivery across every major platform. Streaming viewers waited up to 62 seconds. Peacock — the best-performing streaming platform — ran 48 seconds behind. Broadcast ran 19 seconds. When your most forward-facing digital platforms are creating a lag in the real-time experience, it shows up in the user experience, in sports betting, and in the ad product. 0:00 – The 62-second streaming delay stat from Super Bowl 60 1:39 – Why the gap between the game and the screen is a business problem across all five D's 19:08 – How latency directly impacts sports betting and prediction markets during live events How The Five D's: Digital, Data, Distribution, Discovery, Delight drive Streaming TV Success David's framework for how publishers need to think about their transition from broadcast to streaming-first businesses. Digital first means foundational infrastructure — not just putting content online. Data means addressability, reach and frequency, targeting and measurement. Distribution means meeting the consumer on the platform they prefer. Discovery means universal findability. And Delight means none of the first four matter if the experience fails the fan. 1:39 – The Five D's defined: why delight is the one that ties everything together 4:05 – What digital first actually means: foundational infrastructure, not surface-level streaming 5:04 – Why organizational structure is the number one challenge for traditional broadcasters going digital Why Walled gardens are coming down — and Peacock distributing on YouTube is the proof. For years, walled gardens meant social platforms. Now they mean content distribution channels. Peacock announcing distribution on YouTube is a generational shift — a legacy broadcaster meeting a younger audience where they actually live. David's read: organizations that understand the fundamental shift in consumption are tearing walls down. The ones that don't are watching Amazon double the NBA's national game count to 150 games and bring 30 new advertisers into sports who had never bought TV before. 10:47 – Why Peacock distributing on YouTube is a generational distribution bet 12:26 – How the NBA went from 75 to 150 national games by adding Amazon as a partner 16:14 – Who's winning in streaming: Amazon, Prime, and the Thursday Night Football model Discovery is still broken. Apple TV does a Friday night MLB doubleheader. If your team is on Apple TV that night, you have to subscribe on the spot to watch it. That's not a discovery problem — that's a discovery plus access problem. Universal discovery is the next challenge publishers need to solve, and Fox's acquisition of Roku is the most interesting move in that direction: an operating system with massive household penetration layered with content that can now be promoted and surfaced across it. 13:15 – Why universal discovery is the unsolved problem for sports streaming 14:09 – Apple TV's MLB model and why access barriers compound discovery problems 15:24 – The Fox/Roku acquisition as a discovery and distribution play What is 'Social Appointment Viewing'? Stadium seats are finite. Ticket prices are prohibitive. But the desire for shared viewing is growing — the World Cup proved it in neighborhoods, movie theaters, and bars globally. The relationship between live sports, sports betting, latency, and the dual-screen experience is the next convergence point David is watching closely. 17:58 – Watch parties and social appointment viewing as a growing trend 18:43 – The World Cup and Love Island as proof of concept for shared viewing experiences 19:08 – How latency becomes a critical problem when sports betting is on the second screen Connect with David Dembowski on LinkedIn Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with Giovanni Galvez , from SyncWords , for a special webinar replay recorded live — including a real-time demo where SyncWords translated the State of Streaming broadcast into Spanish, French, and German simultaneously while the conversation was happening. The topic: how platforms are using live localization to reach the 80% of the world that doesn't speak English — and how much audience they're leaving on the table by not doing it. Did you know that 80% of the world doesn't speak English? It's the viewership cliff your team missed. Streaming platforms are spending billions on sports rights and then broadcasting those events in a language 80% of the world can't follow. SyncWords' data shows the drop-off happens fast — within the first few minutes of a stream, when a viewer realizes the audio isn't for them and bails to find another outlet. Language isn't a nice-to-have accessibility feature. It's a churn lever. 1:17 – Telemundo had to publish a correction to their first-round World Cup viewership data — and why language is the context 2:03 – Giovanni's origin story: growing up in Washington D.C. translating Knight Rider for his family in real time 12:07 – Where drop-off actually happens in a live stream and why language is a primary driver Why is 'live localization' an entirely different technical problem than subtitling a pre-recorded show? A live stream has to be ingested, transcribed, translated via LLM, formatted for broadcast-standard caption protocols (608, DVB, WebVTT), synchronized to the video, and delivered — in under a few seconds, in multiple languages simultaneously, with the emotional tone of the original speaker preserved. SyncWords has been solving this for over ten years, and Gio walked through every layer of the gap live on air. 3:28 – What SyncWords actually does: closed captioning, live translation, voice dubbing, and live sign language 5:33 – The technical gap: LLM output, broadcast codec standards, HLS delivery, synchronization 7:12 – Why live dubbing is interpretation, not translation — and why the synthetic voice has to carry the emotion Jewelry TV launched a new Spanish-speaking market 24/7 without adding a new team - find out how. One of SyncWords' clients runs a 24/7 English-language home shopping channel. SyncWords takes that live feed and delivers it in Spanish — subtitles and voice dubbing — in real time. The brand built a whole separate Spanish identity around it. The operational lift to enter a new market went from building a production team to pressing go. That's the ROI case: test a market with existing content before betting the farm on it. 9:07 – How Jewelry TV built a Spanish-language brand on top of an automated English feed 9:48 – Reaching a new market without new operational lift 10:50 – How WWE uses market-specific commentators for major markets — and why automation is the entry point for everyone else 76% of people prefer to shop and spend in their native language. A California university added Chinese subtitles to its commencement live stream and saw viewer numbers spike — and announced they'd expand to more languages. A single house-of-worship event ran 80 simultaneous language outputs for the first time ever. The tier-one creator economy is just starting to apply this. When a Spanish-speaking viewer hears their favorite sport called in Spanish for the first time, they don't leave. They want to know what else they missed. 13:38 – Language as a churn lever: how localization keeps viewers engaged 14:17 – University commencements, house of worship, and the 80-language live event 15:21 – How The Chosen built global language communities using local scholars — and how SyncWords makes that available to anyone The live demo: this podcast was being translated into Spanish, French, and German the entire time. Gio revealed mid-episode that he had connected the State of Streaming live stream to SyncWords' system at the start of the session. The entire conversation was being translated and streamed in three languages simultaneously — without Tim knowing. The demo wasn't a setup. It was physics. 15:58 – Gio reveals the broadcast has been live-translating since the start 16:28 – Screen share: watching Tim speak German subtitles in real time 17:29 – What's coming at IBC Amsterdam: next-generation subtitle standards and one-click live translation for any language on earth Connect with Giovanni Galvez on LinkedIn · SyncWords Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Read Josh's most recent piece on State of Streaming here 👈 Tim sits down with Josh Stein , Founder of Attention Capital , to unpack why capital markets keep mispricing attention, what makes an audience durable enough to finance, and why the creator economy is the next private credit boom — whether Wall Street knows it yet or not. Some attention compounds. Some decays. The difference is what's financeable. Josh spent the first decade of his career in investment banking at Bear Stearns and leveraged finance law at Cahill Gordon — then spent fifteen years applying those dark arts to media at Vice, Univision, and Guillermo del Toro's Murata Studios. The aha moment came early: help Dr. Phil build two New York Times number one bestsellers using the same infrastructure private equity uses to underwrite a cash-flowing asset. That's the thesis that became Attention Capital. 1:10 – From a speeding ticket outside Schenectady to pricing attention like an asset class 3:30 – Bear Stearns, leveraged buyouts, and what Wall Street taught Josh about building media businesses 6:00 – The pro bono moment that split the atom: finance discipline meets the creator economy What makes an audience durable? They show up unpaid, unprompted, and predictably returning. Most viewership is noise. Durable audience is the audience that comes back without being paid to, without being prompted by the algorithm — and does so predictably enough that you can model it. If you can model it, you can finance it. That's the entire framework in one sentence. 8:40 – What durable audience means and why most viewership doesn't qualify 9:32 – The difference between algorithmic traffic and a community that comes back regardless 10:42 – Why predictability is the bridge between audience and credit AQS: the Attention Quality Score does for attention what Nielsen does for viewership. Attention Capital's underwriting framework scores audience across three pillars — durability (does it return unpaid?), cohesion (is it a community or a collection of random people?), and conversion (does it reliably generate cash?). It's not analytics. It's underwriting. The question isn't what happened — it's whether Attention Capital gets paid back. 11:13 – How AQS differs from Nielsen: underwriting vs. analytics 12:57 – The four-quadrant framework: deterministic, stochastic, qualitative, quantitative 13:06 – Why these aren't venture bets — they're SMEs with three to five years of operating history The capital is for the hoodie company. And for getting off the hamster wheel. A creator with a durable audience and a brand deal is one missed deadline away from a crisis. The capital Attention Capital deploys isn't for the content — it's for the third and fourth lines of business the audience can support: the studio, the podcast, the merch line, the holding company spine that transforms Tim Rowe into Tim Rowe's company. That's the exit multiple inflection. That's the point. 15:03 – How the capital conversation actually starts: a time problem, not a money problem 16:00 – Growth capital for the third line of business and professionalizing the org 23:22 – Why a creator with three to five years of operating history is a boring, high-margin SME that can't walk into Chase TKO/WWE quit trying to be Netflix and made $2B. Building and maintaining a streaming platform is a pie-eating contest — win and your prize is more pie, more capex, more customer service, more churn. TKO solved it by owning what they're best at and selling the rights four ways: Netflix gets appointment viewing, NBCU gets cord-cutter repellent, ESPN gets anchor events, Paramount+ gets live differentiation. Brilliant business. Simple business. $2B in twelve months. 17:55 – Why TKO's distribution strategy is a masterclass in IP, audience, and distribution 18:30 – What streaming services each got from the WWE deal and why it works for all four 20:15 – Does the Paramount/WBD deal close? Josh's read. YouTube-native filmmakers are building durable audiences that translate to the box office. Talk to Me. Backrooms. Obsession. These aren't anomalies — they're physics. Build a durable audience around a specific type of content, then serve it to them in a new window. They show up. Josh's thesis: horror is the easy proof of concept. The really interesting test is when this model slips into genres that aren't so on the nose. 20:54 – Why film is where Josh is most excited about the Attention Capital thesis 21:06 – Talk to Me, Backrooms, Obsession: why YouTube-to-theatrical isn't a fluke 22:30 – What happens when this model moves beyond horror into other genres Connect with Josh Stein on LinkedIn · Attention Capital on Substack Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with Michael Beach , author of Screen Wars and Publisher of State of the Screens , to work through convergent TV, why local advertising holds the keys to the next billion-dollar streaming exit, what $100 CPMs actually look like in the math, and why the consumer settled the YouTube-is-TV debate years ago. 📰 Read Michael's piece on What Changes as YouTube becomes TV first here 📖 Get the book Screen Wars on Amazon The next billion-dollar streaming exit will come from the burbs. Every major exit in ad tech over the last decade — Vibe, Simplifi, Madhive — has one thing in common: they weren't chasing the top 200 national brands. They were serving local and niche advertisers in markets that nobody else bothered to build for. Traditional TV gets 80% of its revenue from its top 100 advertisers. Facebook built one of the highest-margin ad products in history by going the opposite direction — 10 million smaller advertisers. The math is clear. The industry just keeps ignoring it. 1:13 – Why the best ad tech exits come from local and niche, not national high-profile brands 3:21 – Why 190 of 210 media markets get no measurement and no product built for them 3:49 – How Cross Screen Media was built for the markets everyone else ignored YouTube is TV. The consumer settled that debate. What's next? Michael writes about YouTube being TV and people lose their minds. But ask a kid. Ask yourself what you default to when you can't find anything on the app you're paying for. YouTube already commands a third of total TV time — and Michael thinks it can reach the ceiling NBC, ABC, and CBS shared in the broadcast era. The ad product hasn't caught up yet. That's not a red flag. That's the runway. 9:38 – Why YouTube is clearly TV to the consumer — even if Madison Avenue hasn't accepted it 11:10 – Could YouTube reach a 33% share of total TV time the way the big three broadcasters once did 12:48 – Why defaulting to YouTube when you can't find anything to watch is the behavior that changes everything $100 CPMs aren't crazy. They're already happening in political. The model is simple: ad inventory is shrinking as viewing shifts to streaming — fewer hours are ad-supported, and those that are carry a fraction of linear's ad load. By 2035, Michael's model shows roughly 11% fewer total impressions than today, against a market that's grown 10%. That math compounds into a CPM surge. A car dealership in Atlanta geo-targeted to in-market buyers within 20 miles already produces a $1,000 effective CPM. Political advertisers in battleground states are already paying $100 CPMs on broadcast. The number isn't the shock — it's that streaming hasn't gotten there yet. 13:56 – Why shrinking ad inventory plus market growth compounds into $100 CPMs 14:30 – The car dealership in Atlanta: how addressable targeting creates a $1,000 effective CPM 16:00 – Why political advertising is the test lab where the future of streaming measurement gets proven first The theater floor tells you what streaming can't yet monetize. Box office attendance, adjusted for inflation, is still 35% below 2019 levels. Nobody has figured out how to make a $200 million movie work on streaming economics. The studios haven't solved it. Netflix has pulled back on big-budget film spending. Until someone cracks the code on premium theatrical-to-streaming monetization, the big screen stays in distress — and streaming budgets stay rationalized. 17:36 – Why streaming still can't monetize a $200M movie effectively 18:00 – Box office at 35% below 2019 in inflation-adjusted terms — and what that means for content spend 18:47 – Whether the Paramount/WBD deal ever closes — and why the economics of legacy media are more challenged than anyone in ad sales wants to admit Connect with Michael Beach on LinkedIn · State of the Screens · Screen Wars (book) Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with Simeon McMillan , Principal of Accrued Interest , to work through four of the most consequential questions in streaming right now — the Netflix engagement panic, the YouTube revenue parallel nobody is drawing, what Fox/Roku actually means for the home screen, and whether the Paramount/WBD deal ever closes. Netflix and YouTube are in the same weight class but Wall Street hasn't noticed. Strip away the noise and compare the revenue. Netflix and YouTube are within 5-15% of each other in any given quarter — and their growth rates have been running neck and neck for two years. The Netflix engagement panic, Simeon argues, is being driven by people reacting to headlines rather than reading what Netflix actually discloses. They publish weekly Top 10 lists for 90 countries. The engagement report they pulled back was created for the writers' unions in 2023 — it was never an investor metric. 2:08 – Why YouTube is the only company in Netflix's weight class that nobody compares to Netflix 3:41 – Why Netflix's 1-3% viewership growth looks different when the base is 90 billion minutes 6:24 – Why YouTube growing at 10-12% with no hit shows should reframe how we read Netflix metrics Netflix engagement panic is wrong. "Revenue-per-hour" is what matters. Netflix has outgrown YouTube on revenue per programming hour in almost every quarter over the last two years. The real story isn't whether engagement hours are up 1% or 3% — it's that Netflix extracts more revenue per dollar of content spend than any other media company, and that ratio keeps improving. When the format mix shifts to include podcasts, shorts, and live sports, measuring pure watch time becomes even less useful. 8:12 – Why revenue per hour, not total hours, is the metric that matters for Netflix 12:12 – What the engagement panic actually exposed: who reads Netflix's disclosures vs. who reacts to news 15:58 – Why Netflix's $700M NFL spend is a signal to advertisers, not a red flag for investors Fox acquiring Roku is acquiring a strategic choke point. Simeon's three-part series on Fox/Roku frames the deal as a distribution play, not a content play — Fox is buying control of the passageway through which streaming viewership flows. For Netflix and Disney+, nothing changes. For everyone else, home screen placement, discovery priority, and promotional real estate on 100 million Roku devices just got a new landlord. Fox, Simeon argues, is the most strategically disciplined of all the legacy media players — they sold at the peak of Peak TV and are now buying back in at exactly the right moment. 18:06 – Why Netflix not having hardware is not an impediment — and why Roku can't afford to cut them off 19:37 – The choke point thesis: what Fox/Roku means for apps that aren't Netflix or Disney+ 20:14 – Why Fox is the most strategically disciplined legacy media company — and what they're actually buying The home screen is now as important as advertising. Over 50% of total TV viewing has crossed over into streaming for the first time. As more viewing moves to the big screen, navigation — where you go, what you see first, what gets surfaced — becomes the discovery layer. Simeon's toddler noticed when HBO Max changed its logo. The Looper Insights data showing Peacock gaining $1.8M in share of voice from a single Apple TV home screen update is the proof point. Home screen placement is arbitrage — and most of the industry hasn't priced it correctly yet. 22:41 – Why the home screen is becoming as important as advertising for content discovery 23:45 – Why shows are no longer associated with the brand that made them — and what that means for discoverability 25:10 – The cross-licensing trend: why HBO, Starz, and others are finally distributing on rival platforms The Paramount/WBD deal: shaky, but it closes. With concessions. Simeon called it wrong on whether Skydance would win Paramount. He called it right — he thinks — on why Paramount/WBD has structural problems. His read: the deal closes, but Paramount gets forced to shed assets to service the debt load. Which assets? He won't say. But his next piece argues that by 2029, Netflix makes a run at Universal Studios IP. Subscribe before that one drops. 26:40 – Why Simeon's "Dead on Arrival" piece on Paramount/WBD may still be right 27:09 – What concessions Paramount will have to make and why the debt load makes it complicated 28:06 – Why the international footprint problem was always the deal's structural weakness Connect with Simeon McMillan on LinkedIn · Accrued Interest Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with Josh Hudgins , Chief Product Officer at VideoAmp , to unpack how the performance media platform connects ad exposure directly to real-world outcomes — store visits, purchases, subscriber signups — and how AI is acting as a semantic layer to reinvent how that data gets interpreted, planned against, and acted on. The measurement problem is a signal-to-noise problem. Advertisers and analysts aren't starving for data — they're drowning in dashboards. VideoAmp's answer is a semantic AI layer built on top of their measurement stack that interprets the data, separates noise from signal, and surfaces the insights that actually matter — without replacing the rigorous measurement methodology underneath. 1:18 – What VideoAmp is and the core problem it solves: closing the loop between ad exposure and real-world outcomes 2:13 – How VideoAmp built its data asset: set-top boxes, smart TVs, streaming log-level data via clean rooms 6:19 – The new AI-powered reporting experience: from monolithic dashboards to interactive insight conversations The alchemy nobody expected: audience + content + platform = lift. When you can report at a creative level all the way through to outcomes across every platform simultaneously, you start finding combinations that no analyst would have predicted. A specific audience, paired with specific content, on a specific platform, driving measurable lift for a specific product. That's not a dashboard insight. That's a campaign brief. 7:54 – What the data reveals when AI interprets it: creative-level performance tied to real-world outcomes 9:30 – How the AI journey goes from insight to media plan to agentic campaign orchestration 10:25 – Why siloed channel teams are being replaced by audience-first, outcome-first structures Media planning is becoming a real-time optimization loop. The traditional cycle — annual media mix model, allocation decision, wait and see — is collapsing. VideoAmp is working with publishers on mid-flight optimization tied directly to outcomes, compressing what used to take a year into a near-real-time feedback loop. The automotive supply chain example makes the implications concrete: media exposure signals flowing back into inventory planning. 10:56 – How AI compresses the learning and response cycle from annual to near real time 11:59 – The automotive case: from dealership visits to supply chain signals, all connected to media exposure 13:21 – What it looks like when the measurement flywheel starts spinning faster Agent-to-agent integrations will make brittle API workflows obsolete. The next six months: agencies, streaming platforms, and media companies are all building AI agents — and those agents are starting to talk to each other. What used to take 12 months to integrate now takes weeks. Josh explains what that means for the pace of new capability development and why it's the most exciting technical shift he's seen. 13:48 – What agent-to-agent integrations actually are and why they replace brittle API workflows 14:27 – How different entities — buyers, sellers, platforms — are now connecting via agents 15:51 – Why AI unlocks more human time, not less: the case for focusing on connection and ideas Connect with Josh Hudgins on LinkedIn · VideoAmp Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with Jon Schulz , CMO at Viant , the day after the company reports its best quarter ever — revenue up 34%, CTV now 50% of total revenue, and a single NBA Finals ad moment hitting $120 CPM, nearly double the Super Bowl. This is the Viant Earnings Brunch. ' Best quarter ever' was 27-years in the making. Revenue up 34%. CTV at 50% of total revenue. Direct CTV transactions up from 50% to 80% in a single quarter. IRIS Content ID now on 50% of the CTV bid stream, targeting 70% by year end. Viant Household ID mapped to 95% of US households. None of this happened overnight — Jon walks through the acquisitions, infrastructure investments, and strategic decisions that made Q2 2026 possible. 0:31 – The Q2 numbers: 34% revenue growth, 50% CTV mix, $120 CPM NBA Finals peak 1:26 – Why best quarter ever is the result of a long-term plan, not a lucky cycle 2:11 – How eliminating non-value-added resellers created a win for both publishers and advertisers Meta, Google, and Amazonall have buying tools. They also have a serious conflict of interest...learn about it. Google has DV360. Amazon has Amazon DSP. But 80%+ of their revenue comes from their own owned-and-operated inventory. The buying interface is a gateway to their supply — not a neutral platform. Meanwhile, the top 52% of advertisers have grown just 1% annually over 15 years, while the Mag 7 grew 550% over the same period. Jon puts a number on who is actually winning in digital advertising — and it's not the brands. 3:41 – Viant's history: from exclusive inventory to Time Inc. to independent buy-side platform 4:26 – Why Amazon DSP and DV360 are gateways to owned inventory, not neutral DSPs 5:10 – The stat: top advertisers up 1% annually over 15 years. Mag 7 up 550%. Only 5% of customers are in market at any given moment but most ad budgets spend like it's 100%. The overinvestment in performance advertising has funneled most ad dollars toward converting demand that already exists — ignoring the 95% of future customers who haven't raised their hand yet. CTV and TV have always been the best format for demand generation. That's the thesis behind Viant's Outcomes product: measurable performance outside the walled gardens, on the open internet. 6:23 – Why the over-focus on performance advertising is suppressing brand growth 7:20 – What the open internet actually means and what inventory it includes 8:57 – Game five of the NBA Finals on the open internet: $120 CPM, nearly 2X the Super Bowl Did you know? According to TVision attention metrics: 30% of ads run to an empty room. Viant can now bid against the ones that don't. TVision — Viant's attention signal acquisition — measures three things: is someone in the room, how many people are watching, and second-by-second eyes-on-screen attention. The NBA Finals comeback moment is the perfect case study: attention collapsed during the blowout, then spiked when the Knicks started climbing back. Viant's platform can now bid up or down in real time based on that signal. 9:59 – What TVision measures: in-room presence, co-viewing, eyes-on-screen attention 10:29 – Why 30% of CTV ads run to an empty room 13:12 – The NBA Finals comeback: how attention data moves in real time within a single program The Viant streaming stack: household ID, content ID, attention signal. Viant Household ID is in 80% of programmatic bid requests and covers 96% of CTV requests — mapped to 95% of US households. IRIS Content ID is at 50% of the bid stream, heading to 70%. At those coverage levels, these stop being proxies and start being currencies. Jon explains what it takes to get a signal from 7% to 50% to 70% — and why scale is everything. 14:29 – The full Viant stack: Household ID + IRIS Content ID + TVision attention signal 15:16 – Why signal coverage below 30% is a proxy. Above 80% is a currency. 16:48 – The grocery store use case: first-party data matched to Viant Household ID at scale Connect with Jon Schulz on LinkedIn · Viant Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Tim sits down with Matthew Keys , Publisher of The Desk , a media outlet covering the broadcast, streaming, and digital media industry that has grown from a hobbyist blog into a publication that industry executives now regularly check — and walk up to strangers at conferences to mention. TheDesk.net started as a survival mechanism. Matthew Keys built The Desk across two different moments of involuntary downtime — first while on paid suspension during a legal situation, then again during COVID when a planned job transition went sideways. Thirteen years later, it's one of the few places covering streaming and broadcasting from someone who actually worked inside both industries. 0:44 – Why the desk is called the desk: the assignment desk as the unsung hero of every newsroom 3:10 – How The Desk started on suspension and grew through COVID 5:45 – The StreamTV show moment: from unknown hobbyist blog to recognized industry outlet What traditional broadcasters are giving away and calling it a "streaming strategy". Every major local news station now has a 24-hour FAST feed. That's not a streaming strategy — it's content distribution without a monetization model. Matthew breaks down why Nexstar's Haystack investment, the NewsNation experiment, and the broader local news pivot to streaming are all variations of the same unresolved tension between reach and revenue. 7:12 – How local broadcasters are addressing streaming: giving the product away 8:30 – Nexstar, Haystack News, and what the largest station group is actually betting on 10:15 – NewsNation: what national ambition looks like when you're built on local infrastructure Are sports the only thing keeping cable alive? Churn accelerates the moment football season ends and partially recovers when it comes back. That's the only thing holding legacy cable bundles together. Once consumers churn out, the data shows they don't come back — they go to FAST, because to them there's no meaningful difference, and FAST offers more options. 15:20 – Why sports is the last thing keeping cable subscribers in the bundle 16:44 – What churn data shows about former cable subscribers and where they go 17:30 – Why FAST is bad at personalization except for Tubi — and why that matters The FASTpocalypse is coming. Two thousand channels will become one hundred. The supply glut is real. Advertisers aren't keeping pace with inventory. Reporting and aggregation are still broken. But the people who work closest to FAST all say the same thing: when the consolidation happens, the channel count drops by 95% and what's left looks a lot like peak cable — around 20 channels that any given viewer actually watches regularly. 18:10 – Why FAST supply has outrun advertiser demand 19:05 – The 2,000 to 100 channel shakeout thesis 20:15 – The Savannah Bananas playbook: YouTube first, then TNT, then the CW The World Cup drew the numbers it did because it was easy to find. The FIFA World Cup pulled massive viewership not just because of compelling storylines or home-field time zones — but because rights were consolidated in a way that made the product frictionless. No "this game is on Netflix." No market blackouts. Just find it and watch it. That's the discoverability lesson the rest of the industry keeps failing to apply. 22:10 – Why the World Cup's distribution model was as important as its storylines 23:00 – The Roku bundle as a frictionless access point 23:30 – What professional women's hockey and Banana Ball prove about the YouTube-to-TV pipeline Connect with Matthew Keys on LinkedIn · Matthew Keys on X · The Desk Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! James Smith , who leads monetization at Frequency , joins Tim Rowe to unpack why the ad pod is broken — and why the fix isn't more ads, it's smarter ones. They dive into in-scene advertising, the industry's slow embrace of "fewer ads, better ROAS," and why personalization has to fix the programming guide before it can fix the ad break. Too Many Channels Chasing Too Little Attention FAST channels went from a novelty seven years ago to hundreds per platform today — and that glut is the real source of the ad experience problem. James frames it plainly: when discovery becomes the bottleneck, fill rate suffers, and channels that can't fill inventory resort to slate, black screens, or bloated pods just to hit revenue targets. It's not a content problem. It's a supply-and-attention math problem, and the math isn't working for anyone — viewer, publisher, or advertiser. 02:51 – Why fragmented attention is now the industry's core challenge 03:09 – The discovery problem: hundreds of channels, no way to find yours 04:18 – Tim's own ad-pod horror story, and why it's a business problem too How Frequency's Uses AI to Find the Break Inside the Break (In-Scene Ad Product) Instead of stuffing more ads between segments, Frequency uses video introspection to identify contextually relevant moments inside the content itself — ad zones that fit the scene, not just the runtime. The goal isn't to add inventory. It's to replace some of the pod with better-performing units, then use an ad balancer to right-size what's left for maximum return on ad spend. James connects this directly to Jounce Media's research: fewer, better-placed ads consistently outperform saturation. 05:29 – How AI video introspection identifies in-scene ad zones 06:11 – The ad balancer: reducing the pod without reducing revenue 07:30 – Why fewer ads can mean higher conversion, not lower Fewer Sellers, Fewer Hops: Why 'Proximity to the Stream' Is the New SPO Programmatic's dirty secret is the number of hops — every intermediary between ad sale and publisher payout adds fraud risk and kills transparency. James argues Frequency's position — sitting upstream at channel origination and SSAI — makes it structurally closer to clean supply path optimization than SSPs stacked with resellers. The company isn't trying to own inventory; it's trying to be the shortest path between demand and the stream. 09:26 – Who's adopting in-scene units first: OEMs, platforms, or publishers 09:52 – Frequency caps and the tools built to avoid making the pod worse 12:19 – What Netflix's ad-tier evolution signals for the rest of the industry 80% of Shopping Comes From Feed-Driven Ads - yay or nay? James's bet on where CTV is headed: personalize the electronic programming guide first, and the advertising experience follows — the same way Instagram's feed conditions purchase behavior. He points to World Cup hydration-break ads as proof that endemic, contextually-earned advertising doesn't irritate viewers; it performs. The next frontier is dynamic creative that swaps based on geography in real time — same ad concept, different local retailer, different outcome. 17:51 – What James is most excited about for the rest of 2026 and into 2027 18:35 – The Instagram parallel: personalized feed, personalized ads 13:04 – The Miami Doritos example: one ad, two dynamically different CTAs Connect with James Smith and learn more about Frequency's channel monetization tools at frequency.com . Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! Emily Williams , Consumer Expert at MRI-Simmons, joins Tim Rowe to unpack why the streaming industry's measurement habits are failing the consumers they're supposed to serve — and why fragmentation isn't a technology problem. It's a consumer experience problem. The Average American Uses 11 Streaming Services a Year MRI-Simmons' Cord Evolution Study reveals that 75% of Americans with traditional cable also stream — meaning the incremental reach marketers assume they're buying is largely the same audience showing up in a different environment. Eleven services a year isn't loyalty. It's fluid movement across platforms following content, not platforms. Media plans built on channel logic haven't caught up to that reality. 1:02 – What MRI-Simmons is and why address-based probabilistic sampling is the gold standard 5:16 – The stacker problem: why adding streaming to a linear plan doesn't automatically add reach 6:28 – 11 services a year, on average — and what that says about churn ' Total Minutes Viewed ' Is the Metric We Need to Stop Using 63% of adults report doing other activities while watching TV. That's not a niche behavior — it's the majority. Emily's argument: total minutes viewed can tell you what platform content ran on and for how long, but it can't tell you whether anyone was paying attention, whether those people were the right people, or whether the campaign moved anything. A hundred million minutes among the wrong audience loses to twenty million minutes among high-value prospects every time. 8:21 – Why total minutes viewed is useful but dangerous as a standalone KPI 9:44 – The attention gap: 63% of adults are multitasking while the TV runs 11:05 – The question every viewing metric headline is missing First-Party Data Tells You Who Watches What. Consumer Insights Tell You Why, How, and How Much. Streaming platforms can see everything inside their ecosystem — completion rates, session length, genre preferences. What they can't see is that the person who watched three video podcasts this week is also planning a trip to Italy, renovating their home, and just bought their first EV. MRI-Simmons' Consumer Canvas enrichment product layers 60,000+ consumer attributes across 250 million adults onto a platform's first-party data — turning behavioral signals into audience understanding that actually informs creative, targeting, and planning. 11:38 – What first-party data can and can't tell a streaming platform 13:15 – Consumer Canvas: how data enrichment makes first-party data smarter 15:07 – Why a unified audience view is a consumer problem, not a technology problem Did You Know? 40% of Adults Feel Overwhelmed by Streaming Choice More services, more content, more FAST channels — the assumption was that consumers want unlimited options. MRI-Simmons measures 170 FAST (free ad-supported streaming TV) channels and adds new ones every wave. Emily's prediction: three years from now, the industry will look back and realize it confused more choice with a better experience. Discovery isn't a measurement problem or a media planning problem. It's what happens when finding something worth watching becomes work. 17:32 – What the industry will look back on as a fundamental mistake 18:07 – 40% of adults overwhelmed by choice: the data behind the scroll paralysis 19:56 – Why fragmentation is ultimately a consumer experience problem, not a tech one Connect with Emily Williams and explore MRI-Simmons research at mrisimmons.com .

Have a question? Send us a text! Justin Ruiss , SVP of Media at BWG Global , joins Tim Rowe to break down three of the biggest deals in streaming right now — Walmart's acquisition of Vibe.co, the Comcast spinout of NBCU and Peacock, and Fox's $22 billion move on Roku. Justin hosts 30 primary research forums a month with senior industry executives, and brings a synthesized, cross-vertical read that goes well beyond the headlines. Why Walmart Acquired Vibe and How They Declared War on Amazon The Vizio acquisition two years ago was Walmart getting serious. Vibe.co is Walmart gritting its teeth. The read from BWG's network: Walmart is building toward an in-house ad tech stack that competes directly with Amazon DSP — keeping the margin, owning the data, and closing the loop between retail media and CTV inventory. Their existing partnerships with Yahoo DSP and Magnite aren't going away, but they're becoming the lower tiers of a good-better-best model that Walmart now controls top to bottom. 8:09 – Why Vizio was the setup and Vibe.co is the signal 9:44 – How Walmart's tiered ad stack (white glove to self-serve) starts to take shape 11:32 – Why the creative-to-supply chain conversation is now about minimizing hops and owning the data return The Comcast Spinout Makes Peacock a Pure-Play CTV Story — Finally. Buried inside a conglomerate, Peacock's performance was impossible to read cleanly. Spun out, it becomes a transparent, standalone connected TV (CTV) business that can compete in the same conversations as Netflix, Disney+, and Amazon — and be evaluated on its own terms. Justin's take: Freevee getting absorbed and Vibe getting acquired makes the Peacock spinout look like a steal in retrospect. The linear bleed to CTV isn't over, and a pure-play Peacock is positioned to capture it. 13:13 – Why Justin stopped keeping a bingo card on M&A 13:26 – What transparency means for Peacock as a standalone CTV business 15:37 – Why Roku was being slept on — and who wasn't sleeping Fox Isn't "Buying Roku". They're acquiring the most mature operating system in streaming. Amazon's overnight switch to an ad-supported model created a gravity well that cast a shadow over every other CTV player — including Roku, whose household graph and distribution scale were being systematically undervalued. Fox saw it. The combination of Fox's content portfolio (FS1, Tubi, Fox One, Roku Channel, Howdy, Friendly TV) with Roku's distribution infrastructure creates a competitive surface that can go punch-for-punch with Amazon and Netflix on premium inventory, audience segmentation, and sports. Looper Insights data pulled live in this episode: Roku generated $23 million in addressable attention for WNBA content in Q2 — against Apple TV's $513K and Xfinity's $297K. Orders of magnitude, not increments. 15:41 – Why Amazon's ad model switch made everyone else invisible — including Roku 18:25 – What Fox actually bought and why leadership execution is the only variable left 21:21 – The Looper Insights WNBA data: $23M Roku vs. $513K Apple TV Read SOS coverage: Fox and Roku · Walmart and Vibe.co · Who buys Peacock Connect with Justin Ruiss on LinkedIn and learn more at BWG Global .

Have a question? Send us a text! The conversation is a companion to Nathaniel's recent piece on microdramas . Nathaniel Danziger, Founding Voice at State of Streaming, joins Tim Rowe to unpack what makes a microdrama possible, the operational realities driving this mobile-first shift, and what the partnership between Peacock and ReelShort means for the broader media landscape. On the Microdrama Boom Microdramas have rapidly grown into a $30 billion global phenomenon, defined by short, hyper-melodramatic vertical episodes with constant cliffhangers designed to keep users swiping. With major platforms like Peacock striking library deals with ReelShort, this bite-sized format is moving from the fringes of social networks straight into mainstream streaming. 2:27 – The global expansion of microdramas: from Chinese networks to a $30B industry 3:20 – Defining the microdrama: short form, flashy storylines, and constant cliffhangers 4:41 – The mind-numbing volume of content: how libraries scale to thousands of episodes Why Transparency on Set Matters Most While the sheer volume of output is staggering, the operational reality on set tells a much harsher story. Interviews with sound operators, DPs, script assistants, and makeup artists expose an environment driven by grueling conditions, tiny non-union crews, and budgets pushed to the absolute brink. For media buyers, understanding this operational backend is critical for establishing true brand transparency. 6:41 – Unpacking the crew interviews: no union protections, small crew sizes, and low pay 7:29 – The reality of poor planning: when extreme constraints lead to desperate measures on set 9:21 – The advertising angle: establishing brand transparency against "made-for-advertising" video Salacious Content and Industry Anxieties Driven by algorithms rather than artistic merit, many microdramas trade in highly salacious, tabloid-style themes to capture quick engagement. This approach yields immediate clicks but leaves crew members struggling to build professional portfolios, while raising massive questions about AI integration and long-term career growth within vertical filmmaking. 10:12 – Tabloids of the internet: why crew members aren't putting these salacious titles on their reels 13:13 – The vertical advantage: finding creative bright spots and unique vertical filming techniques 14:26 – Fear and the future: will microdramas lower the production bar and restrict career pathways? Connect with Nathaniel Danziger on LinkedIn and read his full article here .

Have a question? Send us a text! Tim sits down with Josh Matthews , Founder of StreamScoop , a Substack publication that aggregates open-source viewership data across streaming, broadcast, and cable into weekly data dumps, monthly deep dives, and the best streaming TV guide being published right now — which SOS syndicates weekly. 📺 Get This week's StreamScoop Streaming TV Guide Here Nobody was aggregating open-source streaming viewership data in one place. So Josh built it. StreamScoop started as a graduate independent study at the University of South Carolina — a journalism student who saw that all the conversation about streaming was happening at the business level, while the actual viewership numbers were scattered across Nielsen reports, Luminate, Samba, and dozens of individual PR pages. He pulled them all together. 1:11 – How StreamScoop started as a graduate independent study 3:18 – Print journalism in 2024 and betting on the thing you're most passionate about 5:01 – One year post-grad: what StreamScoop has become The monthly data crunch goes where self-reported data won't. Streaming companies don't self-report when the numbers are bad. Josh does the work anyway — pulling Nielsen, Luminate, Samba, and platform PR data to answer questions like how Daredevil Born Again actually performed against She-Hulk and Moon Knight, or whether the Savannah Bananas' ESPN expansion is as dominant as the headlines suggest. 6:59 – Why streaming companies don't self-report negative data — and why that matters 7:10 – How the monthly deep dives find the comparisons platforms won't make for you 8:53 – The Daredevil Born Again analysis: what the data actually showed AI search is not solving the streaming discoverability problem. It's making it worse. Josh has tested Grok, Claude, ChatGPT, and Copilot trying to pull viewership data. The results are consistently wrong — not wrong in obvious ways, but subtly wrong, often citing numbers from two and a half years ago with no indication they're stale. If AI can't reliably surface what's streaming this week, the discoverability gap is wider than the industry is admitting. 10:22 – Why AI search fails at streaming data specifically 9:36 – What ComScore and Reelgood found about AI as the default discovery method 14:24 – What the consumer journey looks like when they can't find what they're looking for The weekly streaming TV guide: every major release, double-checked. Three sources minimum per entry. Josh cross-references Vital Thrills, TV Insider, and official platform press releases every week — and still misses things. If a human going through this process every single week with established sources can miss a release, imagine what the end consumer is up against trying to find it in two searches. 13:05 – How Josh compiles the weekly streaming TV guide 13:20 – Why English-only coverage is still almost impossible to keep complete 14:04 – The Among Us example: missed by every aggregator, including StreamScoop Connect with Josh Matthews on LinkedIn · StreamScoop on Substac k

Have a question? Send us a text! Wim Sweldens , co-founder of Kiswe , built a direct-to-consumer (D2C) streaming company because he unplugged his cable box — and never plugged it back in. Twelve years later, the technology he knew was coming has arrived, and the sports organizations smart enough to own the relationship with their fans are the ones pulling ahead. The RSN Collapse Created a Blueprint Problem, Not Just a Revenue Problem When regional sports networks (RSNs) fell apart, teams didn't just lose a distribution partner — they lost the only model they knew. Kiswe's answer isn't to replace one middleman with another. It's to cut them out entirely. 0:55 – The origin story: a crashed cable box, a 4G network, and a company 3:16 – Why being early to mobile video wasn't a mistake — it was timing 4:43 – What "don't sell your rights, sell your content" actually means in practice When You Own the Platform, You Own the Data Subscription, pay-per-view, dynamic ad insertion — the monetization model matters less than who controls it. Wim breaks down how Kiswe's revenue share structure aligns incentives and why direct fan data is the asset teams are finally realizing they've been giving away. 6:30 – The three monetization models Kiswe enables and how teams use each 8:00 – Why influencers selling 50,000 tickets at $20 each is the proof of concept 14:03 – Why sports teams see less churn than general streaming apps — and what drives it SEG+ Is the Case Study. Utah Built It First. Smith Entertainment Group (SEG) — owners of the Utah Jazz (NBA) and Utah Mammoth (NHL) — needed one platform for two leagues, two fan bases, and games that sometimes overlap. The result: 40% subscriber growth over two years, 75% Mammoth+ growth in year one, and a MultiView feature that lets fans watch both games simultaneously. 10:10 – How the SEG+ platform unified two franchises under a single login 12:02 – The à la carte argument: why fans shouldn't have to buy butter to get milk 13:27 – The retention thesis: engaged fans churn less, buy more, and bring friends Download the full SEG+ case study to see the numbers. Connect with Wim Sweldens on LinkedIn · Kiswe

Have a question? Send us a text! Tim sits down with Russell Fink , a two-decade veteran of regional sports networks, to dig into the measurement crisis hiding in plain sight inside sports streaming. The conversation pairs directly with Russell's piece published in State of Streaming this week — Too Much of a Good Thing: Sports' Measurement Problem — and uses Jurassic Park to explain why having the data isn't the same as using it. The RSN Era Was the Last Time Everyone Won at Once Russell started at SNY in 2007, when regional sports networks were ascendant and the model was simple: hyperlocal content, cable affiliate fees, happy leagues, happy fans, happy advertisers. The streaming wars didn't just disrupt that model — they exposed that no one had a replacement. 2:14 – What RSNs looked like at their peak and why the economics worked for everyone 4:47 – Why the shift to streaming put RSNs into survival mode almost overnight 6:22 – The cable bundle déjà vu: Congress wanted à la carte then, too The Streamers Inherited Linear's Habits and Called It Innovation When Amazon, Apple, and Facebook took sports rights, Russell expected them to reinvent the viewing experience. Instead, they replicated what fans already knew — and measured it the same way. The lesson: fan behavior is stickier than distribution format. 8:10 – Why Russell was wrong to expect streaming platforms to blow up the format 9:33 – What Facebook's live chat experiment revealed about fan tolerance for experimentation 11:05 – Why linear strategies persist inside streaming sports — and what that says about where the money still lives 16.7 Billion Minutes. Nobody Knows What That Means. The NBC Olympics touted 16.7 billion minutes viewed. Russell spent his career in research and can't tell you what it means — and that's the problem. When a metric requires twenty minutes to unpack, it's not doing its job. The industry's love of big numbers is actively impeding advertiser confidence. 14:38 – How the streaming measurement land grab produced a world where everyone is number one 17:02 – Why "16.7 billion minutes" is a perfect example of a metric that defeats itself 19:44 – What the better headline would have been — and why total viewers still wins Your Scientists Were So Preoccupied With Whether They Could… The Jurassic Park thesis: the industry built fifty to a hundred new metrics it didn't have nineteen years ago, fell in love with all of them, and forgot to ask which ones actually move the business. Russell's piece is a call to simplify — not because the data is wrong, but because complexity is a sales problem. 21:15 – Where the Jurassic Park framing came from and what it has to do with Tuesday 3:30 PM engagement spikes 23:08 – How to think about which metrics actually serve programming, marketing, sales, and affiliate 25:44 – Why measurement complexity is part of why the advertiser shift to digital is still stalling Part two is coming. Read the full piece at State of Streaming . Connect with Russell Fink on LinkedIn

Have a question? Send us a text! Tim sits down with Lucas Bertrand , CEO of Looper Insights , to break down what Looper's Q1 Media Placement Value ($MPV) data reveals about how connected TV home screens are being used — and misused — heading into the biggest sports quarter in recent memory. Recorded the day the FIFA World Cup kicked off, the conversation pairs directly with the Preston Smalley/Roku episode released earlier that week. The CTV Home Screen The Arbitrage of Streaming Looper's $MPV metric assigns a dollar value to placements across Roku, Fire TV, Samsung, Xfinity, and others — factoring in local CPM rates, device footprint, and engagement. The result is a comparable framework that lets streamers, advertisers, and platforms understand what a homepage placement is actually worth before they negotiate for it. 4:06 – What $MPV is and the three variables that drive it: CPM, device count, and engagement 5:59 – Why Roku's 100M device footprint makes its homepage one of the most valuable digital surfaces in media 6:49 – The home screen as one of the most valuable websites in the world The Winter Olympics Set the Template. The World Cup Is the Stress Test. Roku's Milan-Cortina Winter Olympics hub generated $36M in $MPV in Q1 — one of the first major hub executions on the platform and a proof of concept for what coherent sports signposting can do. With the World Cup now live across half a dozen broadcasters, multiple languages, and fragmented rights windows, the question is whether that template scales. 14:11 – How the Milan-Cortina Winter Olympics hub performed in Q1 $MPV data 15:43 – Why the Olympics hub is a model for Peacock, Roku, and other OEMs to build on 16:07 – World Cup fragmentation: Telemundo, YouTube first-ten-minutes windows, and the signposting problem Live Sports Errors Are Already Appearing in the World Cup Data. Looper monitors CTV interfaces in real time and is already surfacing errors to partners in the early days of the tournament — wrong match times, missing delay notifications, outdated location data. When a game gets rained off and every platform needs to update simultaneously, the gap between what's on screen and what's actually happening becomes a real fan experience problem. 17:18 – How Looper monitors live event signposting in real time 18:02 – The types of errors already appearing in World Cup data: times, locations, delays 19:09 – Why "it's available everywhere" is sometimes no answer at all Q2 $MPV report expected mid-July. We'll have Lucas back to break it down when it drops. Connect with Lucas Bertrand on LinkedIn · Looper Insights

Have a question? Send us a text! Tim sits down with Preston Smalley , VP of Viewer Product at Roku , unpacking the first new Roku home screen in a decade — how it was designed for 100 million+ households, what the hub methodology means for sports fragmentation, and why "delight" isn't just a brand word at Roku. It's a measured KPI. 82% of streaming viewers want you to read their mind Roku built a home screen with a billion possible configurations to get closer to doing exactly that — and they're measuring whether it's working. Preston breaks down how Roku balances personalization with customization, why quick access felt "wrong" to users at first and indispensable a week later, and how a fictional city on your screensaver became one of the platform's most measurable loyalty drivers. 1:51 – Designing for 100M+ households: how surveys, diary studies, and a billion possible configurations shaped the new home screen 4:42 – What "personalization" actually means: familiar content, adjacent discovery, trending signals, and human curators working together 6:55 – AI in practice: how Roku layers large language models on top of its proprietary TV-specific models — and why general AI alone doesn't know what episode just dropped 8:36 – The diary study insight: why users hated quick access on day one and couldn't live without it a week later Sports on streaming is more fragmented than cable ever was Roku's answer isn't aggregation — it's destination design. Preston explains how the Roku hub methodology works: one place for a fan to find their league, their team, their game — and the app they need to stream it, or free highlights if they don't have it. The NHL hub just launched. All four major leagues are now covered. World Cup planning is underway. 11:38 – The hub methodology: why sports fragmentation is a discovery problem, not a rights problem 13:25 – World Cup and the Olympics playbook: medal counts, bracket tracking, and what "cultural moment" infrastructure looks like on a home screen 14:37 – The global Roku business: #1 in the US, Mexico, and Canada — and why free live TV and antenna-blending are the growth story in Brazil Why Roku City is a screensaver It's also a brand platform, a live event venue, a trivia game host, and one of Roku's top two sources of measured user delight. 16:55 – Roku City as loyalty infrastructure: IP partnerships, live events, Roku Dash, and why users don't experience it as advertising 17:52 – How Roku actually measures delight — and what it has to do with finding a show you didn't know you liked Connect with Preston Smalley on LinkedIn Learn more about Roku at roku.com For more on how Roku is monetizing the home screen as a media property, read our full breakdown of the $MPV methodology from Looper Insights here. Thanks to Looper Insights for sponsoring today’s show! Ready to unlock your streaming strategy edge? Head over to mystreamingvalue.com to compare CTV home screens and find out which spaces are worth the most. You’ll even learn exactly why Fox was willing to pay $22 billion for Roku. Stop guessing and start scaling—visit mystreamingvalue.com to get your free insights today!

Have a question? Send us a text! The conversation is a companion to Hemant's recent piece on AI personalization at scale . Hemant Soni , AI Architect and SOS. contributor, joins Tim Rowe to unpack what streaming platforms can learn from the infrastructure telecom companies built under survival pressure — and how to start applying it now. On Combatting Churn Streaming platforms collect mountains of behavioral data — what you watch, what you skip, when you disengage — and respond days or weeks later with a generic retention email. By then, the subscriber has already left. The model that actually works isn't coming from Netflix or Spotify. It's coming from telecom. 1:32 – About how telecom is mastering personalization — and why it matters for streaming 3:05 – T-Mobile's customer decision hub: processing 140M+ subscriber signals in under 200 milliseconds 5:33 – Comcast's convergence advantage: telecom-grade AI infrastructure applied directly to Peacock's 32M broadband customers Why "Feeling Understood" Matters Most The shift Hemant describes — from responding after a customer cancels to predicting intent before they act — is the key unlock. Customers don't feel retained. They feel understood. That's the difference between a churn intervention and a relationship. 6:08 – What Comcast is actually deploying: not experiments, proven telecom intelligence 7:32 – The four pillars of AI personalization and what each one means for a streaming operator 11:17 – Where to start: a practical framework for media companies beginning the AI journey Get Hemant's 90-day Fast Start Framework Start with personalization. It's the highest ROI use case, and once you show impact there, scaling AI gets easier everywhere else. Hemant closes with the most actionable thing in the episode — month one: identify use cases and clean your data. Month two: build and test AI models at small scale. Month three: optimize and scale what worked. 12:42 – Building a unified data foundation: what to connect, clean, and make reusable 13:56 – Why personalization is the highest ROI AI use case 14:30 – Language barriers, content hypergrowth, and what AI-enabled localization actually unlocks Connect with Hemant Soni on LinkedIn and read his full article here .