đ Privacy-First Audio Isn't a BurdenâIt's Your Competitive Advantage. YouTube's Podcast Takeover Just Went International
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YouTube now owns podcast discovery. Spotifyâs losing ground. Appleâs under pressure. And the industry is still optimising for the wrong things.
Today weâre cutting through four narratives the podcast world wants you to accept without question. A vendor-backed survey claiming authenticity is dying (itâs notâbad sponsorship strategy is). A measurement firm selling video analytics that show audio and video perform identically (so why the rush to video?). Research on privacy-first advertising that confirms what audio already knew. And the international data confirming YouTubeâs takeover isnât a U.S. anomaly.
The pattern: The industry confuses consumption volume with conversion effectiveness. It mistakes platform dominance for format superiority. And it keeps funding solutions to problems it hasnât actually measured.
This issue cuts through that noise.
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Big week. Letâs get into it.
Todayâs reading time is 5 minutes. - Miko Santos (July 14, 2026)
đď¸ Today, we have exclusive insights on:
Privacy-First Audio Isnât a BurdenâItâs Your Competitive Advantage
The Authenticity Recession: Why Off-Brand Sponsor Reads Are Killing Podcast Conversion.
Video Doesn't Actually Convert Better Than AudioâThe Industry Got Ahead of Its Data
Podcast Insight: YouTube's Podcast Takeover Just Went InternationalâYour Distribution Strategy Is Now Obsolete
AD RESULTS MEDIA
Privacy-First Audio Isn't a BurdenâIt's Your Competitive apocalypseâ.
Podwires Rundown: For years, the industry has braced for a âcookieless apocalypse.âJoin over 1,000 It never arrived the way anyone predicted. Instead, what emerged is cleaner: audio advertising has quietly become the most resilient channel for reaching audiences with precision while respecting privacy, which means podcasters and producers now have a major opportunity to reposition their inventory.
Source Note
This analysis is drawn from research and frameworks published by Ad Results Media, an audio advertising and measurement firm that designs and sells programmatic audio solutions. As a vendor operating in this space, their perspective naturally reflects an interest in expanding programmatic audio adoption. Thatâs
The underlying industry dynamicsâGoogleâs reversal on third-party cookie deprecation, Safari and Firefox blocking third-party tracking, and the rise of contextual and first-party targetingâare confirmed by independent sources, including Usercentrics, Ethyca, and published industry research. The research cited (AdsWizz, SiriusXM Media, and AI Digital) comes from streaming platforms and measurement firms with commercial stakes in audio advertising success; their findings on contextual targeting adoption and consent-based identity frameworks should be read with that context in mind.
Key Points
Third-party cookies didnât die, but their reach shrank dramaticallyâGoogle reversed its plan to eliminate them in Chrome, yet Safari and Firefox already blocked them, and ad-blocker adoption continues to erode cross-site tracking capability.
Audio platforms (Spotify, Pandora, SiriusXM, iHeart) built their ad systems around authenticated users and first-party data, which means they never depended on third-party cookies the way display advertising didâaudio was structurally ahead of the privacy shift.
Contextual targeting at scale is now viable through natural language processing analysis of podcast transcripts and content themes, allowing advertisers to match messages to moments rather than following individual browsing behavior.
Multi-signal strategies (combining first-party data, contextual intelligence, and consent-based identity like Unified ID 2.0) are outperforming context-only or identity-only approaches, according to global research across multiple markets.
Privacy has become a trust advantage rather than just a compliance checkboxâ71% of consumers would stop supporting a company that mishandles data, and audioâs transparent, consent-based model is increasingly perceived as differentiated.
Why It Matters
The shift to privacy-first marketing removes the last excuse for treating audio as a secondary or âtrialâ channel. For advertisers who spent years chasing precise behavioral targeting through opaque data layers, audio now offers something more valuable: durable, transparent, measurable relevance that doesnât depend on surveillance. This is a fundamental reframe. Audio advertising isnât being forced into a privacy-first model as a last resortâitâs discovering that the model it built years ago is now the industry standard. Thatâs not a weakness. Thatâs a moat.
For the podcast industry, this is the moment to stop apologizing for the channel and start articulating why itâs becoming the obvious choice for brands that care about precision and trust.
The Big Picture
For Podcasters
The privacy-first shift means your inventory has structural advantages you havenât been fully leveraging. When youâre negotiating with advertisers or networks, stop leading with audience size and start emphasising audience quality and intent. Your listeners chose to spend an hour with your contentâtheyâre in a high-attention state, theyâve consented to hear from you, and context is doing the heavy lifting on relevance. Thatâs worth more than a vague behavioural profile. If youâre selling direct sponsorships, emphasise that host-read ads aligned with episode context deliver better message fit than programmatic display banners. Transparency around how audience data is used is an asset, not a liability.
For Podcast Producers
This environment is where your sales strategy needs to evolve. Stop positioning programmatic audio as âcheaper than direct dealsâ and start positioning it as smarter. First-party data (your subscriber lists and listener behaviour within your ecosystem), contextual intelligence (episode themes analysed at the segment level), and consent-based identity all fold into the same sale. Package your inventory to highlight these signals. If youâre producing multiple shows, consider how to present them as contextually distinct environmentsâa personal finance show isnât just âbusiness contentâ; itâs âretirement planning and entrepreneurship conversationsâ. That specificity attracts higher CPMs from relevant advertisers. And data clean rooms (secure environments where you and advertisers analyse performance without sharing raw customer data) are becoming table stakes; if youâre not offering them, youâre leaving money on the table.
For the Industry
Weâre at an inflection point where the podcast industryâs natural advantages in privacy-safe advertising are finally being recognised at scale. Brands that spent five years preparing for a âcookielessâ world without a coherent strategy now see that audio was already there. The opportunity is to make sure that narrative shift translates into CPM improvement and advertiser budget reallocation. That requires:
Measurement standardisation: Industry consensus on attribution and incrementality testing, so advertisers can fairly compare audio to other channels. Without such standards, the budget will drift to channels with more familiar measurement frameworks.
Education of agency buyers: Many programmatic audio sales are still bottlenecked by agency traders who misunderstand that audioâs contextual model is more precise than behavioural tracking. Flip that script.
Platform collaboration on data infrastructure: Spotify, Apple, YouTube Music, and independent podcast platforms have different first-party data assets. Some level of interoperable identity (with consent) would let advertisers reach audiences consistently across the ecosystem without relying on third-party cookies.
The broader audio industry (streaming music, audiobooks, and live radio) has already pivoted to privacy-safe, first-party, consent-based models. Podcasting isnât an outlierâitâs part of a larger shift in how audio advertising works. The risk isnât that podcasting is left behind. The risk is that podcasting fails to communicate clearly to buyers why this model benefits everyone: more relevant ads, better measurement, stronger brand trust, and higher engagement. Thatâs the narrative. Own it.
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CLUTCH
The Authenticity Recession: Why Off-Brand Sponsor Reads Are Killing Podcast Conversion
Podwires Rundown: Clutch surveyed 412 podcast listeners and found something the industry has been whispering for years but hasnât acted on: people donât listen for the hostâs name or the platformâs algorithm. They listen because the content solves a problem or fits their moment. And when a host recommends something, the recommendation worksâbut only if it doesnât feel like a host reading a script someone else wrote.
Source Note
This data comes from a Clutch survey of 412 U.S. consumers conducted in June 2026. Clutch is a B2B services marketplace that connects brands with agencies and vendors (digital marketing, design, IT services, etc.), so thereâs a natural incentive in their framing: more brands commissioning podcasts, hiring agencies to produce them, and using sophisticated tools in the process. That bias should shape how you read the findings. The data itself is straightforward consumer self-report, not behavioural measurementârespondents were asked what they think they do and why, not tracked to verify actual listening or purchase behaviour. Survey size (412) is reasonable but not massive. That said, the directional findings align with other recent research (Edison, Sounds Profitable, Coleman Insights) on video podcast adoption, the decline of celebrity-driven listening, and the persistence of the authenticity signal, so thereâs external corroboration.
Key Points
Seventy-nine percent of consumers listen to at least one podcast a month, and 48% listen more than they did a year agoâsustained growth, but the composition is shifting: video consumption is accelerating, and platform loyalty is weaker than content loyalty.
YouTube (30% of platform usage) now edges out Spotify (27%), and 39% of consumers split time between video and audio formats; this is not a data point buried in the findingsâitâs the headline, and it signals that podcastingâs traditional audio-first distribution model is no longer the default entry point.
Fifty-five percent listen to news and political content; nearly two-thirds (62%) donât care if the host is a celebrity or unknown; relevance and subject-matter expertise are the actual drivers of tune-in, not parasocial recognition.
Forty-two percent of consumers have purchased something based on a podcast hostâs recommendation, but 61% say theyâd trust a host less if the promotion felt off-brand or inauthenticâmeaning the conversion lever is real, but itâs fragile and specific to host credibility.
Forty-six percent of consumers would reject AI-hosted podcasts outright; 34% of new podcasts already use AI tools in production (transcription, editing, show notes), but that adoption is happening backstage, not in the host chairâa meaningful distinction that the industry is already navigating correctly.
Why It Matters
Hereâs the uncomfortable truth the survey dances around but doesnât quite say: podcasting has never been about reach, distribution, or platform dominance. Itâs always been about the asymmetrical relationship between a host and a listener over time. That relationship is the only thing that canât be commodified, outsourced, or scaled without losing its value.
The moment you try to replace authenticity with efficiency, you lose the listener. The moment you treat a hostâs credibility as interchangeable with another hostâs, you kill the business. And the moment you assume the platform matters more than the conversation, youâve already lost.
Clutchâs data just confirms what independent podcasters have always known: the show is the moat. Not the equipment, not the algorithm, not the celebrity guest. The show.
The Big Picture
For Podcasters
You have a permission slip now. Stop chasing reach metrics and start protecting host credibility like itâs your only assetâbecause it is.
If youâre a solo creator, that means being selective about sponsors. Donât read a promotion that feels wrong. Your listeners will notice. The data says 61% would trust you less for an off-brand read; in practice, itâs probably higher, and the drop in trust correlates directly to listener churn and CPM erosion. One misaligned sponsor can tank six months of relationship-building.
If youâre part of a network or multi-show operation, push back on templated copy or forced integrations. Your hostsâ individual credibility with their audiences is the revenue driver. Protect it. Treat each showâs ad integration as a bespoke conversation, not a slot to be filled. Yes, thatâs harder to scale. Thatâs the whole point.
And the video trend isnât optional anymore. Thirty per cent of your listeners are consuming content on YouTube. If youâre not producing with video in mindâeven if youâre primarily audioâyouâre leaving 30% of your audience in a worse format than they prefer. That doesnât mean you need expensive cameras. It means you need to think about framing, pacing, and on-camera presence in the same way you think about audio pacing and voice. The format now shapes the content.
For Podcast Producers
This is where the operational rubber meets the road. Authenticity isnât free. It requires:
Curation, not volume. The survey shows that 62% of listeners donât care about celebrity hosparaty, with an equal-and-opposite swing in conversations. That means your casting process should filter for subject-matter knowledge and conversational ability, not follower count. It also means fewer, better episodes beat more generic ones. Producers chasing 3x per week output while sacrificing guest fit leave money on the table.
Host ownership of the ad read is key. If youâre producing shows for networks or brands, build workflows where the host has input on sponsor selection and read copy. Let them reject a sponsor if it doesnât align with their credibility. Yes, this reduces predictability in the sales process. But it preserves the conversion signal. A host reading a sponsor they genuinely believe in will move listeners to purchase; a host reading a script will get tuned out. The data backs this up: 42% have purchased based on a host recommendation, but only if it felt authentic.
Multi-format output as table stakes. The video podcast trend is no longer just a ânice to have.â With YouTube at 30% platform usage and Spotify at 27%, you need to produce and optimise for video parity. That means investing in minimal video gear (lighting, framing, basic editing) and thinking about how each episode works as both audio and video content. It also means your production timeline needs to accommodate both formatsânot recording audio and tacking on video later, but recording with both in mind from day one.
AI in the right place. Thirty-four per cent of new podcasts use AI in production, but the Clutch data suggests consumers are fine with thatâas long as itâs not the hostâs voice. Use AI for transcription (cleaner and faster), show notes generation, and even segment identification for video clips. Donât use it to replace the host or to generate host-read ad copy. Thatâs where the conversion dies.
For the Industry
The podcast industry has spent five years optimising for the wrong metrics. Weâve obsessed over monthly listener reach, platform growth, and celebrity talent. The Clutch data says none of that matters as much as we thought. What matters is:
Relevance over reach. The industry narrative has been âHow do we get podcasting to more people?â The answer from listeners is, âI donât care how many people listen. I care if the episode solves a problem for me.â That fundamentally changes how we talk about podcast value to advertisers. Brands should stop asking, âHow many listeners?â and start asking, âAre these the right listeners, and will they trust a recommendation from this host?â A show with 10,000 highly engaged listeners in a specific niche is worth more than a show with 100,000 casual listeners.
Platform agnosticism as competitive advantage. YouTube is now the leading platform for podcast consumption (30% vs. Spotifyâs 27%), and 39% of listeners consume across both video and audio. The industryâs traditional distribution narrativeââget your show on the main podcast appsââis outdated. The future of podcasting distribution is format-agnostic. Creators and producers who treat YouTube, Spotify, Apple, and RSS as equal distribution channels (rather than YouTube being a âsecondaryâ video play) will win. This means working with platforms on metadata optimisation, thumbnail design for YouTube, and audio-quality standards for Spotify, all at once. It also means rethinking how we measure success: not âdownloads from Apple Podcastsâ but âtotal consumption across all formatsâ.
Host authenticity serves as the competitive moat for the entire medium. The fact that 46% of consumers would reject AI-hosted podcasts while AI tools are becoming standard in production is the clearest signal the industry has received: the human voice is the irreplaceable element. That should reshape how we compete against YouTube, TikTok, and other short-form platforms. We cannot win in terms of production scale or algorithm reach. We can only win through the depth of the relationship between host and listener. Every decision in podcast production, distribution, and monetization should reinforce that relationship, not undermine it. Right now, weâre still doing things (overreliance on celebrity, platform chasing, overload of integrated reads) that actively undermine it.
Sponsored content as a trust tax. Forty-two percent of consumers have purchased based on host recommendation, but 61% would trust a host less for an off-brand promotion. Thatâs the industryâs operating margin: 61% of your monetization risk lives in sponsor alignment. The industryâs response has been to keep adding more sponsor slots. The data suggests the right response is to be more selective. Shows with 2-3 highly aligned sponsors will outperform those with 5-6 misaligned sponsors in both listener retention and revenue per listener. Thatâs a significant shift for networks and publishers who are accustomed to maximizing ad load. But itâs where the listener behavior is pointing.
The uncomfortable conclusion: podcastingâs strength has never been its reach or its platform power. Itâs always been the authenticity of the relationship between creator and audience. Everything weâve optimised for in the last five yearsâplatform consolidation, celebrity talent, and algorithmic reachâhas actually worked against that strength. The industry that figures out how to optimise for host credibility, relevant content, and listener trust (rather than vanity metrics) will win.
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EDISON RESEARCH
YouTube's Podcast Takeover Just Went InternationalâYour Distribution Strategy Is Now Obsolete
Podwires Rundown: Edison Research confirmed what U.S. podcast producers have been watching for two years: YouTube isnât a secondary platform anymore. Itâs the primary one. And now itâs happened in the UK too. For the first time on record, 29% of British weekly podcast listeners use YouTube as their main listening service, edging out Spotify (28%). The question isnât whether YouTube is winning. Itâs whether your production workflow has caught up to that reality.
Source Note
This data comes from Edison Researchâs Podcast Metrics UK, the industryâs most reliable platform consumption tracker in the UK market. Edison is a research and polling firm with longstanding credibility in audio measurement (they conduct the annual Infinite Dial study, the gold standard for U.S. podcast consumption data).
As a vendor selling measurement subscriptions and insights to publishers and networks, Edison has a business interest in demonstrating the value of continuous platform trackingâwhich is worth noting but doesnât undermine the dataâs reliability.
The UK data represents weekly podcast listeners age 15+ in June 2026. One contextual note: the UK market has BBC Sounds (15% of podcast consumption), a public media platform without a direct U.S. equivalent, which explains why YouTubeâs growth trajectory in the UK has been slightly slower than in the U.S. (where YouTube hit this milestone nearly two years ago). That context is relevant for international strategy.
Key Points
YouTube (29%) has surpassed Spotify (28%) as the most-used service for podcast consumption among UK weekly listeners age 15+, marking the first time on record this has occurred in the UK market.
This mirrors the U.S. trend from nearly two years ago; YouTubeâs dominance in podcast consumption is now a two-market phenomenon, suggesting a structural global shift, not a U.S.-only anomaly.
BBC Sounds captures 15% of UK podcast consumption, a public media alternative that doesnât exist in the U.S. market; even accounting for this split, YouTubeâs rise is significant and cuts across public and commercial podcast sectors.
The timeline matters: YouTube achieved this milestone in the U.S. in mid-2024; the UK followed approximately two years later, suggesting the pattern will likely continue in other English-speaking markets (Australia, Canada) and eventually globally.
Platform diversification remains real (Spotify still strong at 28%, Apple Podcasts and others still relevant), but YouTubeâs emergence as the primary entry point for new and casual listeners fundamentally changes how the industry should think about distribution priority.
Why It Matters
For two decades, podcast distribution followed a canonical path: produce audio, upload to RSS, distribute to Apple Podcasts and Spotify, optimize metadata for discoverability in podcast apps. YouTube was an afterthoughtâa place to post clips or full episodes as a âbonusâ for video viewers.
That model is now backwards. YouTube isnât a bonus distribution channel. Itâs where listeners are starting. And if your content isnât optimized for YouTube discovery, pacing, and format, youâre losing audience to creators who treat YouTube as the primary platform.
This isnât just a consumption trend. Itâs a business model shift. YouTubeâs algorithm surfaces content differently than podcast apps. Video thumbnails, episode titles, and pacing designed for audio donât work on YouTube. Metadata optimization for podcast apps (show descriptions, category tags) doesnât surface you in YouTubeâs search and recommendation system. And the economic incentives are completely different: Spotify and Apple donât pay creators; YouTubeâs Partner Program pays based on watch time and engagement.
For podcasters and producers, this means the real question isnât âshould we also upload to YouTube?â Itâs âshould YouTube be where we optimize first, and audio be the secondary format?â
The Big Picture
For Podcasters
If youâre currently recording audio-first and uploading video later (or not at all), youâre operating on a 2022 distribution model. YouTubeâs position in both the U.S. and UK markets signals that its model is the new baseline globally.
Start recording with video as the primary format. That means:
Invest in a basic video setup (lighting, camera angle, minimal graphics) if you donât already have one. You donât need a studio; you need consistent framing and readable video.
Rethinking episode structure. Audio-first pacing (long intro, gradual buildup) doesnât work on YouTube. YouTube users decide in the first 5-10 seconds whether to click; your intro needs to hook faster. Your conversation needs visual interest (cut to graphics, B-roll, and on-screen text callouts), or viewers bail.
Optimising for clip extraction. YouTubeâs algorithm heavily favours videos with high engagement in the first 30 seconds and then sustained watch time. Structure your episodes so that the most compelling 2-3-minute moments come early. That clip becomes your YouTube short, your social media post, and your discoverability driver.
Treating thumbnails as seriously as you treat episode titles. On Spotify, your show art is small and static. On YouTube, the thumbnail is enormous and has a direct impact on your click-through rate. Invest in a custom thumbnail design for each episode.
For Podcast Producers
YouTubeâs platform dominance changes your entire production economics.
Casting and booking. Guests who are camera-comfortable and visually engaging now have an advantage. That doesnât mean you need celebrities; it means you need people who can sustain eye contact, use hand gestures, and sit still for two hours. Your booking process should filter for this. If a guest has experience on video (even if itâs YouTube videos about their industry), thatâs a signal theyâll translate well to your show.
Production workflow. You can no longer produce video as an afterthought. Multi-camera setups, B-roll, graphics, and colour grading should be baked into your production timeline from the start. If youâre currently recording on a single camera and cutting together quick uploads, youâre leaving watch time and engagement on the table. Simple graphics (text callouts, guest titles, topic breakdowns) dramatically improve retention on YouTube.
Metadata strategy. Podcast apps and YouTube use entirely different metadata systems. Your show description works for Apple Podcasts but wonât help you on YouTube. YouTube thumbnails, episode titles, and tags should be optimised separately. Your CMS should support different metadata outputs for each platform. If youâre using a boilerplate title like âJohn Smith on the Future of Marketingâ for both Spotify and YouTube, youâre not optimising for either platform.
Distribution priority. If your audience is global or primarily English-speaking, YouTube should now be your primary distribution channel, not a secondary one. That means uploading full episodes to YouTube first (or simultaneously with audio), optimising for YouTubeâs algorithm, and then syndicating the audio version to podcast apps. This is a 180-degree shift from how the industry has operated.
For the Industry
YouTubeâs dominance in both the US and UK markets signals a fundamental redistribution of podcast consumption power from podcast-native platforms (Apple and Spotify) to video-first platforms.
This has several implications:
Platform risk is real. Podcast apps built their entire business model on the assumption that they would be the primary distribution channel for podcasts. YouTubeâs rise suggests that assumption was always fragile. Networks and publishers should be thinking about what happens if YouTube continues to grow and eventually captures 40-50% of podcast consumption. A YouTube algorithm change, policy shift, or content moderation decision could instantly affect your entire business. Relying on a single platform for 40%+ of audience discovery is a structural vulnerability.
The podcast app ecosystem faces headwinds. Spotify has been losing share globally. Apple remains strong but faces pressure from YouTube. Independent podcast apps (Pocket Casts, Overcast, etc.) have stagnated. The traditional âpodcast appâ business model in the industry assumes that podcasters will upload to RSS and that apps will serve as the discovery mechanism. If listeners are discovering on YouTube instead, the value proposition of podcast apps declines. This doesnât mean podcast apps will disappear, but theyâre increasingly becoming just another playback option, not the primary discovery channel.
Video production investment is now mandatory. The industry spent the last five years debating whether podcasts should have video. That debate is over. YouTubeâs dominance means video is no longer optional. For networks, this means production budgets need to shift from pure audio production to integrated audio-video workflows. For individual creators, the shift means they must either invest in video equipment or partner with producers who can handle it. The cost of entry to âserious podcastingâ has gone up.
International expansion follows the U.S. playbook. YouTube surpassed Spotify in the U.S. in 2024. It hit the same milestone in the UK in 2026. Australia, Canada, and other English-speaking markets will likely follow a similar timeline. For networks planning global expansion, the U.S. and UK data now provide a roadmap: YouTube will be the lead platform internationally, but with local variations (BBC Sounds in the UK, for example). Build your distribution strategy around that assumption, not around traditional podcast app dominance.
Sponsorship economics are shifting. YouTubeâs monetisation model (CPM-based, watch-time driven) is fundamentally different from podcast advertising (host-read integrations, download-based CPMs). As more consumption shifts to YouTube, brands will expect different ad formats and measurement. Expect downward pressure on traditional podcast CPMs as inventory shifts to YouTubeâs lower-CPM but higher-scale environment. Networks need to be thinking about how to package YouTube sponsorships as a distinct product from traditional podcast ad integrations.
The underlying truth: podcasting was never really about the format (audio), and it was never really about the apps (podcast clients). It was always about long-form, authentic, conversational content. YouTube is winning because itâs better at distributing that content to mainstream audiences than the podcast app ecosystem ever was. The industryâs response should be to optimise for that reality, not to defend the old distribution model.
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Signal Hill Insights
Video Doesn't Actually Convert Better Than AudioâThe Industry Got Ahead of Its Data
In a recent analysis, Paul Riismandel, President of Signal Hill Insights, released new benchmark data comparing brand lift between audio and video podcast ads for the first time at scale. They surveyed 38,704 listeners and viewers across 2024-2025. The headline: audio and video perform nearly identically. Video shows tiny marginsâ1 to 2 points of lift advantageâat mid-funnel and purchase intent, but Riismandelâs team explicitly concluded thereâs âno notable differenceâ in actual campaign performance. For an industry thatâs been spending the last two years repositioning as a video-first medium, that finding is uncomfortable.
Source Note
Signal Hill Insights is a podcast measurement and research firm that sells brand lift studies to networks and advertisers. In April 2025, they formally launched their âVideo Podcast Brand Lift solutionââwhich means they have a direct commercial interest in demonstrating that video podcast advertising is measurable, trackable, and worth paying for. That business model doesnât invalidate the data, but itâs worth noting that their incentive is to make video podcast measurement seem valuable, not to suppress findings about video underperformance.
The data itself comes from 38,704 respondents surveyed in 2024-2025, which is a solid sample size. However, Riismandel includes a critical caveat: these results donât all come from head-to-head comparisons of the same campaign in audio and video formats. Some are audio-only studies; some are video-only studies. That means the âaudio vs. videoâ comparison is somewhat apples-to-orangesâyouâre not isolating the format variable as cleanly as a true controlled experiment would. That methodology matters when interpreting the margins.
Key Points
Signal Hill measured video podcast brand lift for 0% of their studies in 2023, 24% in 2024, and 54% in 2026âreflecting both the platform growth and increased advertiser demand for video podcast data.
Standard pre-, mid-, and post-roll ads drive measurable lift across the funnel: 2.6 points for brand familiarity, 11.4 points for brand rating, 8.8 points for consideration, and 11.6 points for purchase intent (the strongest metric).
On audio vs. video head-to-head comparison: both formats perform identically for brand familiarity; video shows small margins of 1.1 points for brand rating, 1.5 for consideration, and 2 points for purchase intentâmargins so small that Riismandel cautioned against making format-based decisions based on such differences.
Riismandelâs team explicitly concluded that âon average, right now there is no notable difference in brand lift performance between standard podcast ads on audio or videoââmeaning format choice should not be the primary driver of media spend allocation.
The report is limited to standard ad integrations (pre-, mid-, post-roll) which comprise 64% of their sample; host-read and dynamic ads are excluded, which skews the results toward less contextual, more templated integrations.
Why It Matters
For three years, the podcast industry has been telling a consistent story: video is the future. YouTube is the top platform. Producers need to invest in video. Networks need to build video production capabilities. Advertisers need to optimize for video consumption.
Riismandelâs data doesnât say that story is wrong. It says itâs incomplete. Yes, YouTube is the leading platform. Yes, more audiences are consuming video. Yes, networks should be producing video. But the conversion argumentââvideo performs betterââdoesnât hold up in his research. Not yet, anyway.
Thatâs a problem for the networks and platforms that have already made massive bets on video production infrastructure, equipment, and team hiring. If video and audio perform identically on brand lift, then the ROI on those investments is harder to justify. And if audio and video are performance-equivalent, then advertisers have no compelling reason to shift budgets from audio (where CPMs are lower and host-read integrations remain dominant) to video (where production costs are higher and measurement is newer).
The uncomfortable inference Riismandelâs research surfaces: the podcast industry might have been confusing âwhere audiences areâ with âwhat drives conversions.â YouTube dominates consumption, but consumption volume and advertising effectiveness are not the same thing. An audience that watches video passively (while doing other things) might engage less deeply with advertising messages than an audience that chooses to sit with audio for an hour. Riismandelâs data suggests both audiences convert at similar rates. That changes the calculus.
The Big Picture
For Podcasters
Riismandelâs data gives you permission to deprioritize video investment if you donât already have a production capability. If your show gets 50,000 downloads per episode on audio and youâre considering investing in video gear, lighting, and post-production just to âkeep up,â his research suggests that upgrade might not move the needle on advertiser ROI or audience growth. That doesnât mean ignore videoâYouTube is still the leading platform for discovery. But it means you can make the video investment decision based on audience preference and distribution reach, not on some assumption that video converts better.
The caveat Riismandel flags: his benchmark only measures standard ad integrations (pre-, mid-, post-roll). Host-read ads, which typically command 2-3x higher CPMs and are more integrated into show content, are excluded from this analysis. Itâs entirely possible that video host-read ads outperform audio host-read ads significantly. If thatâs your primary monetization strategy, those data points matter. But for standard ad load optimization, Riismandelâs research shows audio and video performing equivalently.
For Podcast Producers
This stage is where you need to challenge your own narratives. If youâve been justifying video production investment to stakeholders based on âvideo performs betterâ, Riismandelâs Signal Hill data contradicts that argument. Your real justifications should be: (1) YouTube is the leading discovery platform, so video presence is necessary for audience growth; (2) audiences increasingly expect video access; and (3) video allows you to distribute clips on social media and YouTube Shorts, which drives new listener acquisition. Those are all valid. But Riismandelâs research does not support the claim that âvideo converts better.â
That said, use his findings as leverage in budget conversations. If video and audio perform identically on brand lift, then you shouldnât need to produce high-end video. Basic setup (adequate lighting, framing, and consistent audio) should be sufficient. Youâre optimising for platform discovery and clip extraction, not for incremental lift above audio. Thatâs a lower-budget proposition than many networks have been building towards.
For the Industry
Riismandelâs benchmark raises a strategic question the industry has been avoiding: If video and audio perform identically on brand lift, whatâs the actual business case for the video-first pivot?
The answer, according to Riismandelâs analysis: platform distribution and audience growth, not direct advertising performance. YouTube is the leading podcast platform because of its recommendation algorithm and integration into consumer devices (smart TVs, mobile), not because video ads are inherently more effective. The business case is reach and discovery, not conversion efficiency.
That distinction matters for how the industry allocates resources:
Platform-agnostic production is more economical than video-first production. If audio and video perform equivalently (as Riismandelâs data suggests), then the efficient strategy is to produce audio content that works equally well as audio and video (clear conversation, minimal reliance on visual elements, and minimal production requirements) and then repurpose it for YouTube with simple video treatments (static speaker shot, transcript overlay, or basic graphics). Thatâs less expensive than building out full video production workflows from scratch.
Measurement standardisation is now urgent. Signal Hill has 54% of their benchmark data from video podcasts now, but the data set still includes many audio-only campaigns and video-only campaigns. As video consumption grows, there will be more head-to-head comparisons, which will either confirm or refute Riismandelâs âno notable differenceâ finding. Networks and advertisers need consistent, comparable measurement across formats so they can make informed allocation decisions. Right now, the fragmentation (some campaigns audio-only, some video-only, some both) makes clean format comparisons difficult.
Host-read and dynamic ad performance needs separate analysis. Riismandelâs report excludes host-read and dynamic ads, which are the highest-CPM and most-engaged ad formats in podcasting. Video might outperform audio significantly in these contexts, since a hostâs visual presence and on-camera delivery could amplify the authenticity signal that makes host-read ads so effective. That data gap is significant. Any network making format-based production decisions should commission their own host-read ad studies before shifting budgets.
The margin is narrow, and it could flip. Riismandel found 1-2 point advantages for video at mid-funnel and for purchase intent. Thatâs within the measurement noise for many studies. As video podcast audiences mature and production quality improves, video may gain an advantage. Conversely, as audio podcast audiences become more selective and engaged (filtering for quality over volume), audio could maintain its efficiency advantage. The industry shouldnât overinvest in video based on Riismandelâs current data, but it should continue measuring and reassessing as the market evolves.
The core insight from Riismandelâs research: the podcast industryâs pivot towards video is justified by distribution (YouTubeâs dominance) and audience expectation (consumers want video access), not by advertising performance superiority. Thatâs actually a more durable strategy, because itâs not dependent on proving that video converts better. Itâs dependent on being where audiences want to consume content. But it also means networks should be more strategic about video investmentâoptimising for reach and clips, not for production quality and visual storytelling that doesnât move the conversion needle anyway.
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