In this episode, Kelly and Sean break down how television advertising, streaming platforms, and digital media buying continue to evolve in 2026. From traditional TV Upfronts to modern NewFronts, they explain why streaming services are increasingly adopting strategies that resemble the cable television model many thought had disappeared.

The conversation covers the economics behind streaming advertising, why advertisers still reserve inventory months in advance, how connected TV (CTV) changed media buying, and why consumers may now be paying for “cable with extra steps.”

Kelly and Sean also discuss:

•  The difference between Upfronts and NewFronts 
•  Why streaming platforms are leaning harder into advertising 
•  How ad-supported subscriptions are reshaping viewer behavior 
•  The growth of connected TV (CTV) advertising 
•  Why programmatic and digital media buying continue to evolve 
•  The changing economics of streaming platforms 
•  Why consumers are returning to ad-supported viewing options 
•  The future of television advertising and media strategy 

If you work in advertising, media, streaming, digital strategy, or marketing analytics, this episode offers a practical breakdown of where the industry is heading next.

Key Topics Covered

•  TV Upfronts explained 
•  How streaming advertising works 
•  Connected TV (CTV) growth 
•  Why streaming is starting to resemble cable 
•  Programmatic TV advertising 
•  Ad-supported subscription models 
•  Digital media buying trends 
•  Streaming platform economics 
•  Consumer viewing behavior 
•  The future of television advertising 

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

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The episode begins with a conversation around Sean’s recent car purchase, which quickly opens into a broader discussion about the state of the auto industry. They examine how automotive advertising—historically one of the largest categories in media—is now facing slower growth, changing consumer priorities, rising vehicle costs, and uncertainty around electric vehicle adoption.

The discussion highlights:

• Why automotive ad spend is dropping below historic benchmarks
• The evolving role of EV advertising
• Why affordability may matter more than technology upgrades
• How companies like Slate Auto and BYD could reshape consumer demand
• Why legacy automakers are reducing spend
• Kelly and Sean then shift into pharmaceutical advertising, a category that remains heavily concentrated in the United States. They discuss the unique nature of direct-to-consumer pharma ads, the rise of GLP-1 marketing, and the major patent expirations expected to reshape spending patterns across the category.

Additional topics include:

• Why TV pharma spending is declining
• The growth of digital pharma campaigns
• The impact of blockbuster GLP-1 drugs
• What “patent cliffs” mean for advertising budgets
• Emerging wellness and alternative health advertising trends
• The episode closes with reflections on consumer behavior, category evolution, and what these shifts could mean for advertisers moving into 2027.

Key Topics Covered

• Automotive advertising trends in 2026
• Why auto ad spend is declining globally
• Electric vehicle adoption and marketing challenges
• BYD and Slate Auto disruption potential
• Pharma advertising trends in the US
• GLP-1 advertising growth
• Patent expirations and pharma spend pressure
• Digital vs traditional pharma advertising
• Emerging wellness advertising trends

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

They begin with the ongoing legal dispute involving OpenAI, exploring how the lawsuit connects to broader questions about business strategy, monetization, and rising competition in the AI space. The conversation highlights a shift from early expectations to a more competitive and financially driven environment.

From there, the discussion moves into audio, with reported talks between SiriusXM and iHeartMedia. Kelly and Sean examine what a potential merger could mean for the future of radio, podcasting, and the growing role of digital audio platforms.
The episode also revisits Australia’s social media restrictions nearly a year after implementation. While the policy aimed to limit youth access, early data suggests limited impact on advertising performance, raising questions about how effective these measures are in practice.

Finally, they touch on Amsterdam’s proposed restrictions on certain types of advertising in public spaces. This opens a broader conversation about how regulation may begin influencing not just where ads appear, but what can be promoted at all.

Throughout the episode, the focus remains on translating headlines into practical insights—what’s happening, why it matters, and what to watch next.

Key Topics Covered
OpenAI lawsuit and evolving AI business dynamics
Early signals from OpenAI advertising activity
SiriusXM and iHeartMedia merger discussions
Podcasting’s growing role in audio strategy
Australia’s social media restrictions after one year
Why ad spend hasn’t shifted as expected
Amsterdam’s restrictions on certain ad categories
How regulation could shape future advertising models

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

Kelly and Sean break down how advertising is evolving across major sports—from the Olympics to the NFL and NBA—and why streaming continues to reshape how brands reach audiences. 

In this episode, Kelly and Sean take a closer look at how advertising is shifting across the sports landscape in early 2026, using recent data and real-world examples to unpack what’s changing and why. 

They begin with a lighter moment on sports viewing habits before moving into a structured breakdown of major events and leagues, including the Olympics, NFL, NBA, and NHL. From there, the conversation focuses on one consistent theme: streaming is expanding quickly, while traditional TV remains steady but slower-growing. 

The Olympics serve as a strong example, with streaming now accounting for a significantly larger share of ad revenue compared to prior years. At the same time, linear TV still plays a meaningful role, showing that audience behavior is evolving rather than fully shifting. 

Kelly and Sean also discuss how advertisers are adapting their buying strategies. One standout approach is multi-sport programmatic buying, where brands target audiences across a range of sports content instead of focusing on a single league. This method offers flexibility and efficiency while still capturing engaged viewers. 

The episode closes with a look at which industries are increasing investment in sports—such as tech and pharma—and which are showing more caution, along with a brief outlook on what upcoming global events may mean for the market.  

Key Topics Covered 

•  How sports remains one of the strongest areas for live viewing 
•  Growth in streaming vs traditional TV across major events 
•  Olympics advertising trends and shifting viewer behavior 
•  NFL, NBA, and NHL ad performance insights 
•  The rise of multi-sport programmatic buying 
•  Why streaming bundles are becoming more common 
•  Category trends: tech, pharma, retail, and auto 
•  What to expect heading into the World Cup

 Want deeper insights into sports and advertising trends? Reach out at press@guideline.ai

 to learn more. 

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

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They begin with a practical explanation of the supply-side platform: the technology publishers use to make ad inventory available to buyers in the programmatic marketplace. If DSPs help advertisers buy, SSPs help publishers sell. From there, the conversation moves into one of the more striking shifts in the market — the growing role of programmatic in connected TV.

Sean explains how streaming inventory has moved away from direct sales and toward a more automated buying model. Just a few years ago, only a minority of CTV dollars flowed programmatically. Today, many platforms are approaching a much more balanced split, and some are already heavily programmatic.

Kelly and Sean then zoom out to the broader Q1 picture. They discuss how programmatic growth has moderated from the very high levels seen a year ago, why that slowdown makes sense, and what factors are contributing to it — from market maturity to slower expansion in ad-supported streaming inventory.

The episode also touches on category-level changes, with pharmaceuticals standing out as a notable growth area, and closes with a look at the biggest DSP players globally, including DV360, Trade Desk, and Amazon.

Key topics include:

• What an SSP is and how it works
• The relationship between DSPs and SSPs
• Why CTV inventory is shifting toward programmatic
• The move from direct buying to automated buying in streaming
• What Q1 data says about global programmatic growth
• Why programmatic growth has slowed from prior highs
• Category-level changes, including pharma growth
• Market share shifts among major DSPs
• What to watch for in the rest of the year

Chapters

00:00 Intro and spring break recap
01:25 Why this is part two of the programmatic series
01:55 What an SSP is
04:32 Supply-side trends in programmatic
06:13 Why CTV is moving toward programmatic
08:56 Platform-level shift in streaming inventory
12:06 Q1 programmatic growth trends
14:19 Category changes in Q1
15:11 Major DSP market share shifts
16:16 Outlook for the rest of the year
17:49 Closing thoughts and what’s next

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

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In this episode, Kelly and Sean break down what retail media actually is, why it’s growing, and where it may be heading next.

At its core, a retail media network allows retailers to sell advertising using their own customer data—whether that’s on their website, app, or even in-store screens. Companies like Amazon, Walmart, and Target are leading the way, using shopper behavior to deliver highly targeted ads.

But the real story is in the growth.

Retail media accounted for roughly 15% of total U.S. media growth last year, making it one of the most impactful drivers in the industry.

So why is it working?

Two major factors:

• High purchase intent – Ads reach consumers already in buying mode
• Closed-loop measurement – Platforms can directly connect ad exposure to purchases

From an advertiser perspective, that combination is hard to ignore.

The episode also explores how the space is evolving:

Key trends shaping retail media

• Amazon continues to dominate, driving about 40% of retail media ad revenue
• Traditional retailers like Walmart, Kroger, and Target remain strong
• New entrants—like Uber, Instacart, and airlines—are entering the space
• Over 50 large-scale retail media networks now exist in the U.S.

At the same time, signs of maturity are starting to appear:

• Fewer new network launches in 2026
• Slowing user growth as adoption approaches saturation
• Increased competition for the same audiences

So where does growth come from next?

Sean outlines three emerging directions:

1. Offsite advertising – Using retail data to sell ads beyond owned platforms
2. Audience matching & data partnerships – Expanding targeting capabilities
3. Continued expansion from existing players – Rather than new entrants

The takeaway: retail media isn’t slowing—but it is changing.

Key Topics

• What retail media networks are (simple explanation)
• Why brands are shifting budgets into retail media
• Amazon’s dominance and growth outlook
• The rise of Walmart, Kroger, and big-box players
• New entrants like Uber, Instacart, and airlines
• Why closed-loop attribution is driving adoption
• The rapid growth in retail media networks (50+ in the U.S.)
• Signs of market maturity and saturation
• What’s changing in 2026
• Future growth drivers: offsite, data partnerships, audience targeting

Chapters

00:00 Intro & Trader Joe’s story
03:10 What is a retail media network?
05:38 Why retail media is growing
08:01 Key advantages: targeting + attribution
09:49 Major players (Amazon, Walmart, grocery)
11:18 Growth of new entrants (Uber, Instacart, airlines)
12:22 Market saturation & slowing expansion
13:37 User growth limits
14:46 Future growth strategies
19:04 Key takeaways
19:29 Closing thoughts

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

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In this episode, Kelly and Sean break down the case, the broader legal context, and what it could mean for the advertising industry.

The ruling found that platform design—features like endless scroll and autoplay—played a role in addictive behavior and worsening mental health for a young user. It’s part of a growing wave of over 2,000 similar cases targeting how these platforms operate, not just the content they host.

But here’s the key question: will anything actually change?

Looking back over the past decade, both Meta and YouTube have faced repeated controversies—from data privacy issues to concerns about youth safety. Despite this, advertising spend has continued to grow. Sean shares data showing that across dozens of major scandals, platform revenue and ad spend not only held steady—they increased.

So why does advertising remain resilient?

The answer comes down to scale, targeting, and efficiency. These platforms still offer unmatched reach and performance, making them difficult for advertisers to replace.

That said, this moment may still be different. The volume of legal cases, combined with growing public scrutiny, suggests potential pressure ahead. Kelly and Sean outline two key indicators to watch:

• Monthly active users – Are audiences starting to pull back?
• Ad pricing (CPMs) – Are costs rising due to shifting demand or platform changes?

They also touch on how evolving AI-driven ad tools may impact pricing and performance, adding another layer to watch.

The episode closes with a simple takeaway: history suggests stability—but the scale of what’s happening now makes this worth monitoring closely.

Key Topics:

• The Meta & YouTube lawsuit explained
• Why this case focuses on platform design, not content
• The rise of addiction-related social media lawsuits
• What history tells us about scandals and ad spend
• Why advertisers continue to invest despite controversies
• The role of reach, targeting, and efficiency in platform dominance
• The “tobacco moment” comparison
• Two key indicators to watch: users and pricing
• How AI tools may impact ad costs and performance
• What could actually trigger change in the industry

Chapters:

00:00 Intro & spring break check-in
00:46 Meta & YouTube lawsuit overview
01:36 Platform design and addiction claims
03:00 Scale of legal cases and context
03:49 History of scandals in social media
06:28 What the data shows (no change in ad spend)
07:38 Why this moment feels different
08:38 Advertiser behavior explained
10:22 What to watch: users and CPMs
12:27 Final takeaways
13:08 Closing thoughts

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

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In this episode, Kelly and Sean unpack three key indicators—oil prices, liquid natural gas (LNG), and unemployment—and explain how each one connects to ad spend, media planning, and category performance.

They start with oil, often treated as a leading economic signal. While rising oil prices affect everything from transportation to manufacturing, the impact on advertising isn’t immediate. Sean explains why ad spend typically lags behind economic shifts, sometimes by several months, due to the long cycle of campaign planning and execution.

From there, the discussion moves into which industries are most sensitive to oil-related changes. Travel, restaurants, personal care, and automotive brands tend to react faster than others, making them useful signals when tracking broader market shifts.

The conversation then shifts to LNG, which is closely tied to oil production but behaves differently in terms of global supply and pricing. While LNG volatility can influence certain sectors, its impact on advertising tends to be more indirect and limited to specific categories like insurance, restaurants, and alcohol.

Finally, Kelly and Sean focus on unemployment—highlighting it as the most important metric to watch. Unlike oil or gas, unemployment reflects broader economic health and has a much stronger and more immediate relationship with advertising budgets. Even small increases can trigger meaningful changes across multiple industries.

They close by discussing what to expect in the coming months, including how major events like the World Cup may temporarily mask underlying trends in ad spend.

Key Topics

• Why oil prices don’t immediately impact advertising
• The lag effect between economic shifts and ad spend
• Which industries react fastest to rising costs
• How LNG differs from oil in economic influence
• The connection between unemployment and advertising budgets
• Why unemployment is a stronger predictor than oil or gas
• Categories most sensitive to economic pressure
• How major events can distort short-term data trends
• What to expect in advertising through 2026

Chapters

00:00 Intro and NYC client presentations
01:14 Why economic indicators matter for advertising
03:03 Oil prices and advertising lag explained
06:40 Industries most affected by oil changes
10:04 Oil price thresholds and impact scenarios
11:21 LNG explained and its role in the economy
14:08 LNG-sensitive industries
16:03 Why unemployment matters most
17:52 Categories affected by rising unemployment
19:23 Outlook for Q2–Q3 and World Cup impact
20:18 Final takeaways

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

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They start by revisiting the inflection point during COVID, when streaming usage overtook cable for the first time. Since then, the gap has widened significantly, with most households now relying on streaming while traditional TV continues to decline.

The conversation then moves into how that shift has impacted content investment. Sean highlights how cable networks briefly increased spending on new shows during the early COVID period, before pulling back and relying more heavily on repeat programming. This change in content strategy has played a role in how audiences engage with TV today.

A major focus of the episode is live sports. As other types of programming decline, live sports have become a much larger share of linear TV revenue, now representing a significant portion of the ecosystem. Kelly and Sean discuss why sports remain one of the few formats that consistently bring viewers back to traditional TV.

They also examine advertiser behavior, including which categories are still investing in linear TV and which have reduced their spend. Restaurants, financial services, and certain retail-driven campaigns continue to rely on TV’s reach, while categories like pharmaceuticals are starting to pull back after years of heavy investment.

On the streaming side, the discussion turns to a less obvious trend: while streaming continues to grow, not all dollars leaving TV are being reinvested there. Sean explains how only a portion of linear TV spend is shifting into streaming, contributing to slower growth and signs of stabilization.
The episode closes with a look ahead to 2026, focusing on rising subscription costs, shifting consumer behavior, and the growing complexity of managing multiple streaming services. Kelly shares a practical example of how consumers are beginning to cycle through subscriptions rather than maintaining them year-round.

Key topics include:

• How COVID accelerated the shift from TV to streaming
• The current split between cable and streaming households
• Changes in content investment and reliance on repeat programming
• Why live sports are becoming central to linear TV
• Which advertiser categories are still investing in TV
• Why some categories are pulling back
• The relationship between TV ad spend and streaming growth
• Subscription pricing trends and consumer behavior
• Predictions for TV and streaming in 2026

Chapters
00:00 Six years after COVID and the shift in TV
00:56 Why TV is the focus this week
02:01 How streaming overtook cable
04:17 Changes in TV content investment
06:42 The growing role of live sports
08:59 Which advertisers still use TV
11:09 Categories reducing TV spend
12:37 Streaming growth and reinvestment gap
14:37 Predictions for 2026
16:58 Subscription fatigue and changing behavior
19:22 Final thoughts and wrap-up

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

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Programmatic advertising plays a growing role in digital media buying, but it is still one of the more misunderstood parts of the industry. In this episode, Kelly and Sean use Guideline’s newly announced quarterly programmatic benchmark report as a starting point for a practical discussion on what programmatic actually is, how DSPs work, and what the latest benchmark data suggests about the market.

They begin by defining programmatic at a high level: automated buying and selling of digital media, often built around audience targeting, pricing efficiency, and near real-time optimization. From there, Sean explains why this episode focuses specifically on DSPs, or demand-side platforms, which are the tools buyers use to purchase programmatic inventory.

The conversation then turns to the benchmark findings. Sean shares that programmatic saw very strong growth through 2024, though the pace slowed through 2025 as the market matured and economic pressure weighed on ad spend. They discuss how much of that activity is tied to streaming and connected TV, and why the growth pattern looks different now that most large streaming platforms already offer ad-supported products.

They also look at category-level movement, with telecom, insurance, and quick-service restaurants increasing programmatic spend, while categories such as alcohol, toys, and games have pulled back. Kelly and Sean then walk through the current split between programmatic and direct buying, why programmatic has remained near 30% of market activity, and why Sean expects that share to move higher in 2026.

The episode closes with a closer look at buying methods inside the programmatic ecosystem, including private marketplaces, programmatic guaranteed, and the open marketplace, along with a request for listener feedback on where the programmatic series should go next.

Key topics include:

• What programmatic advertising means in practice
• How DSPs function in digital media buying
• Why Guideline launched a quarterly programmatic benchmark report
• Growth trends in programmatic across 2024 and 2025
• The link between programmatic growth and streaming / CTV
• Which advertiser categories are increasing or reducing spend
• The current split between programmatic and direct buying
• Private marketplaces, programmatic guaranteed, and open marketplace buying

Chapters

00:00 Spotify reviews and why the episode topic matters
00:50 Guideline’s new programmatic benchmark report
02:22 What programmatic advertising means
03:48 DSPs and how programmatic buying works
06:01 Global programmatic growth trends
08:40 Categories gaining and losing spend
11:05 Programmatic vs direct buying share
12:28 Sean’s 2026 outlook
13:07 Private marketplaces, guaranteed deals, and open marketplace
16:13 Invitation for listener feedback on the series

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

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Kelly and Sean begin the episode with a light conversation about long-running broadcast partnerships after a Western Australia news anchor duo set a Guinness World Record for more than 40 years and 10,000 broadcasts together.

The discussion then shifts to the topic of out-of-home advertising and why the format continues to generate mixed reactions among U.S. marketers despite strong growth in many international markets.

Using Guideline data, Sean explains how the U.S. market compares globally and why the share of out-of-home spending is significantly lower than in countries such as China and the United Kingdom. While the U.S. represents roughly 70% of total advertising spend in Guideline’s dataset, it accounts for only about 40% of out-of-home spending—suggesting the channel is more mature and widely adopted internationally.

Kelly and Sean also explore structural reasons behind the difference, including geography, population density, transportation habits, and the pace of digital billboard adoption.

Although out-of-home represents a smaller portion of the U.S. media mix, the format is still projected to grow in the coming year. The growth is being driven primarily by digital placements and by industries that benefit from location-based targeting.

Key topics include:

• The role of out-of-home advertising in the global media mix
• Why the U.S. market trails other regions in adoption
• Geographic and infrastructure factors affecting reach
• The importance of digital out-of-home inventory growth
• Industries currently increasing investment in the channel
• How localized advertising strategies influence spending

Sean also highlights emerging spend patterns from industries such as insurance and legal sports betting, which increasingly rely on geographic targeting and regulatory considerations when placing out-of-home campaigns.

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

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In this episode, Kelly and Sean revisit the streaming saga and discuss how further consolidation could affect subscription pricing, content availability, theatrical releases, and advertiser strategy.

They also examine WPP CEO Cindy Rose’s announcement that the company is “no longer a holdco,” introducing the multi-year Elevate 28 strategy. With a focus on AI integration, structural realignment, and outcomes-based models, the move signals a broader shift in how agency groups define value. But what does an outcomes-driven future mean for brand creativity, performance measurement, and platform power?

The conversation expands to The Trade Desk’s earnings reaction, the tension between revenue growth and market expectations, and what’s happening inside the DSP ecosystem.

Sean closes with a “data delight” examining the long-term shift from brand to performance marketing. The data shows performance spend rising significantly faster than digital alone—suggesting a deeper strategic shift in advertiser behavior.

Key topics include:

• Netflix exiting the Warner Bros bidding process
• Streaming consolidation and advertiser implications
• WPP’s Elevate 28 strategy and AI-backed restructuring
• Outcomes-based agency models and platform incentives
• The Trade Desk earnings reaction and DSP competition
• NBA expansion into Europe and streaming distribution
• Brand vs. performance marketing data trends (2017–2025 shift)

 Chapters

00:00 Introduction and Headline Grab Bag
01:00 Netflix Withdraws from Warner Bros Bid
03:24 Streaming Consolidation and Consumer Impact
05:42 WPP’s Elevate 28 and Agency Restructuring
08:31 Outcomes-Based Models and Platform Incentives
12:07 The Trade Desk Earnings Reaction
14:29 NBA European Expansion and Streaming Strategy
17:17 Brand vs. Performance Marketing Data Trends
20:13 How to Access Guideline Data

For access to the data discussed in this episode or to learn more about Guideline’s market insights, contact press@guideline.ai.

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

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Digital audio has grown more than 2.5x faster than the overall media market since the pandemic, and podcasts now account for nearly 30% of digital audio ad revenue. Even more striking: 77% of incremental digital audio growth is coming specifically from podcasts.

In this episode of Media Monitor, Kelly and Sean unpack what’s driving that momentum.

They discuss:

• Why consumers listen to podcasts (and what that means for advertisers)
 • The surprising resistance to AI-generated podcasts
 • Why only 22% of listeners want AI influencing podcast content
 • How video podcasts are reshaping monetization
 • Why TV budgets are shifting into podcast advertising
 • Pharma’s growing presence in the space
 • Insurance brands quietly pulling back
 • The economics of podcast production vs traditional streaming content
 • How Netflix, FAST channels, and streamers are using podcasts as low-cost content engines
 • Whether podcasts are becoming the “reality TV” model of the next media cycle

They also explore how 400,000 new podcasts per quarter are entering the market — and why consumers are still tuning in.

If you work in media, advertising, audio, or streaming, this episode explains not just where podcasting is today — but why it may be one of the most resilient formats in the industry.

Chapters

00:00 Podcast rhythm and listener shoutouts
 01:00 Why people listen to podcasts (2025 research)
 05:00 Digital audio growth vs total media market
 08:30 AI in podcasts vs audiobooks vs music
 12:00 5 trillion hours of streamed audio annually
 14:00 Where podcast ad growth is coming from
 16:00 TV budgets shifting into podcasting
 18:30 Pharma’s expansion in podcast ads
 20:00 Insurance brands pulling back
 22:00 Video podcasts and CTV economics
 25:00 Romance novels and AI-generated audio
 27:30 The future of podcast monetization

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

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In this episode, Kelly and Sean dig into what the latest labor data means for advertising and marketing. They examine whether agency hiring is keeping pace with broader economic growth, explore correlations between ad spend and job postings, and discuss what forward booking data might reveal about where the industry is headed.

They also tackle the bigger question looming over the labor market: how much of today’s hiring slowdown is cyclical… and how much could be tied to AI? From job revisions and offshoring to creative automation and “AI DR” culture pushback, this episode connects economic data to real-world industry implications.

Key topics include:

Why the January jobs report surprised economists
 How healthcare skewed overall job growth
 Differences between Bureau of Labor Statistics and ADP payroll data
 What marketing job postings reveal about industry health
 The correlation between ad spend and hiring trends
 How forward booking data may predict labor shifts
 AI’s potential impact on creative and agency roles
 Whether we’re approaching an AI “takeoff” moment

Chapters:

00:00 Introduction and shared government roots
 02:30 January jobs report breakdown
 05:30 Why economists are skeptical of the numbers
 08:20 Marketing job postings and industry health
 12:15 Correlation between ad spend and hiring
 16:00 Forward booking data as a leading indicator
 19:40 AI, offshoring, and creative job disruption
 24:30 AI DR and cultural pushback
 27:45 Valentine’s Day + Super Bowl crossover

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

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The conversation unpacks what Publicis’ results do—and don’t—say about the health of advertising overall, why Olympic ad revenue growth can’t be separated from the explosion in programming hours and distribution, and how alternative Super Bowl programming fits into a long history of attention battles. Along the way, they connect these stories back to broader themes around media fragmentation, monetization, and how advertisers navigate moments of peak cultural focus.

Key topics include:

Publicis’ Q4 earnings and what they signal for agency holding companies
 Why strong agency performance doesn’t always reflect industry-wide health
 How Olympic advertising revenue has grown alongside massive increases in programming
 The shift from limited broadcast coverage to thousands of hours of Olympic content
 Why comparing Olympic ad revenue across decades can be misleading
 The history of Super Bowl halftime counterprogramming
 How alternative programming competes for attention during major live events

Chapters:

00:00 Introduction to Media Monitor
 01:10 Media morsels and episode format overview
 02:40 Publicis Q4 earnings and industry implications
 10:30 Holding company growth vs margin pressure
 15:20 Winter Olympics advertising and content scale
 23:40 Expansion of Olympic coverage across streaming
 29:30 Super Bowl weekend and counterprogramming history
 36:10 Alternative halftime shows and audience attention
 41:30 Wrap-up and what to watch next week

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

They revisit the last major period of TikTok uncertainty, when ad dollars were pulled and reallocated to other platforms, and compare it to what’s happening now. The conversation covers audience behavior shifts, advertiser risk tolerance, and where budgets are most likely to move if instability continues.

Key topics include:

• The reported surge in TikTok uninstalls and why it’s happening
• Differences in behavior between Gen Z and millennial users
• What happened to ad budgets during the last TikTok scare
• Why Reddit and Instagram benefited from past reallocations
• How content moderation, privacy changes, and short-form video trends factor in.

Chapters:

00:00 Introduction to Media Monitor

01:42 Hosts Reconnect at Company Summit

02:30 TikTok's Uninstall Surge and Its Impact

04:19 Focus Groups on TikTok Usage

06:46 Historical Context of TikTok's Challenges

11:41 Advertisers' Response to TikTok Instability

15:15 Engagement and Closing Remarks

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

In this episode of Media Monitor, we break down one of the biggest advertising developments in years: OpenAI officially testing ads inside ChatGPT.

We explore what this move means for advertisers, media companies, and brands trying to understand where digital budgets are shifting. Using real advertising data, we compare ChatGPT’s ad rollout to past platform launches and unpack realistic growth scenarios.

Topics covered include:

• Why advertising data signals economic change early
• How ChatGPT ads will work across free and low-cost tiers
• Early pricing signals and CPM expectations
• Lessons from TikTok’s explosive ad growth
• What Meta’s ad maturity tells us about long-term potential
• Why Hulu offers a cautionary first-mover comparison
• How competition from Google, Gemini, and others could shape the market

Chapters:

00:00 Introduction to Media Monitor

00:43 Weekly Market Breakdown

02:19 OpenAI's Ad Announcement

03:23 Analyzing the Impact of Ads on ChatGPT

06:08 Scenario Analysis: TikTok's Explosive Growth

19:46 Scenario Analysis: Meta's Steady Growth

26:10 Scenario Analysis: Hulu's First Mover Advantage

30:44 Conclusion and Future Insights

If you work in advertising, media, or marketing, this episode offers a clear-eyed look at what ChatGPT ads could mean today and where the opportunity may land over the next several years.

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

In this episode, Kelly Sweeney and Sean Wright break down Svedka Vodka’s first-ever Super Bowl commercial and what it reveals about where advertising, culture, and brand strategy are heading.

The conversation looks at why Svedka is leaning into AI-assisted creative, early-2010s internet nostalgia, and influencer-driven activation—while many brands are pulling back. Sean also walks through the real math behind Super Bowl advertising, explaining what return on ad spend actually looks like at that scale and why brands often treat the Super Bowl as a cultural signal rather than a direct sales play.

This episode covers:

• How AI is being used quietly inside major brand campaigns
• Why nostalgia marketing has shifted from the 1990s to the mid-2000s
• What a Super Bowl ad really costs—and what it takes to justify it
• Why influencer culture is replacing traditional celebrity endorsements
• How meme creation has become a modern success metric for advertising

They also discuss broader Super Bowl advertising trends, the decline of liquor ads, rising NFL unit rates, and why brands continue to place massive bets on the biggest stage in media—even when the numbers don’t pencil out cleanly.

If you’re interested in brand strategy, advertising economics, or how culture drives marketing decisions, this episode offers a clear, grounded look at what’s actually happening behind the scenes.

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.

If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.

And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.