Marketecture: Get Smart. Fast.

By Ari Paparo

The Marketecture Podcast is hosted by industry experts Ari Paparo and Eric Franchi. Every Friday they publish an interview with an important thinker in the advertising and marketing industries, and co... more

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FAQs about Marketecture: Get Smart. Fast.:

How many episodes does Marketecture: Get Smart. Fast. have?

The podcast currently has 394 episodes available.

Marketecture: Get Smart. Fast. episodes:

April 27, 2026The State of Audio Measurement & What The Data Reveals
At Marketecture Live, Peter Birsinger, Founder & CEO, Podscribe, with Matthew Drengler, Head of Partnerships, Podscribe, breaks down the current state of audio measurement and what the data really shows about podcast and streaming performance. From conversion benchmarks to ad formats and incrementality, this session reveals how brands can measure, optimize, and scale audio advertising like any other digital channel.
Takeaways
Audio is fully measurable today with real-time dashboards, attribution, and incrementality

Podcast ads often outperform streaming audio in conversion efficiency

Host-read ads deliver stronger performance and lower acquisition costs

Buying individual shows drives better engagement, but programmatic can balance cost

Earlier ad placement in episodes leads to higher conversion rates

Longer ads tend to perform better due to storytelling and host trust

Frequency caps are critical to avoid diminishing returns

Incrementality is key to understanding true performance beyond attribution
Chapters
00:00 Introduction to audio measurement and Podscribe
01:03 Audio is now a fully measurable digital channel
04:12 Podcast industry growth and market opportunity
06:19 Benchmark data on conversion rates and performance
08:14 Why host-read ads perform best
09:20 Single show vs. programmatic buying strategies
11:13 Best ad placement within podcast episodes
12:46 Why longer ads drive better results
15:04 Frequency caps and diminishing returns
17:10 Attribution vs. incrementality explained
20:25 Audience reach and overlap in audio channels

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23min
April 24, 2026Episode 170: The Streaming Measurement Mess. Jonathan Carson Helps Us Make Sense of the Chaos.
Jonathan Carson, Co-founder and CEO of Antenna, discusses how measurement in streaming is evolving and why it remains inconsistent across platforms. With experience from Nielsen, The Trade Desk, and Vevo, he shares how subscription data, signups, and shifting viewing behavior are influencing how performance is tracked today. The conversation looks at the gap between traditional measurement approaches and the current streaming landscape.

Takeaways
The shift from linear TV to streaming is complex and requires measuring both systems at the same time

Measurement challenges are driven more by industry transition than by any single company’s failure

Nielsen’s role is evolving, but legacy pressures make rapid change difficult

Subscription, churn, and content engagement data are becoming increasingly important signals

Programming plays a major role in driving signups and cancellations across streaming platforms

The future of measurement will involve multiple providers rather than a single standard

Data’s role in CTV is significantly larger than it was in traditional linear TV

Sports and live content are accelerating the need for better streaming measurement

Ad-supported streaming tiers are growing quickly and changing how inventory is sold

Measurement is expanding beyond audience reach into performance, retention, and content impact

Chapters
00:02 Introduction to Jonathan Carson and streaming measurement
03:26 The state of chaos in streaming measurement
06:56 What Nielsen’s Gauge is and why it matters
09:44 Alternative currencies and the post-Nielsen measurement push
12:32 What Antenna does and its subscriber measurement model
13:30 Subscriber Views and content-driven churn
14:52 Netflix ad-plan growth and show-based CTV buying
16:15 The future: multiple measurement providers
17:41 Podcasting, YouTube, and measurement fragmentation
19:08 Sports rights and streaming measurement pressure
20:41 Paramount, UFC, and subscriber retention
22:01 News refresh: platforms, AI, and people moves
22:20 Index Cloud and SSP-side compute
26:12 Unity data through Index curated marketplaces
27:06 The Trade Desk launches Kokai Agents
29:49 TTD replaces the periodic table UI
30:35 Claude Design and AI-generated collateral
33:14 ChatGPT ad pricing shifts to CPC and lower CPMs
34:19 Kevin Weil leaves OpenAI
34:42 Magnite executive departures
35:55 Fluency hires Eric Picard
36:20 Netflix ad revenue and programmatic growth
37:24 Ari’s Beeswax SSP integration dilemma
38:28 Closing and where to find Jonathan Carson

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42min
April 20, 2026Fluency’s Mike Lane on Automating Digital Ad Ops, AI Scale, and Execution Infrastructure
Mike Lane, CEO of Fluency, explains how automation and AI are transforming digital ad execution at scale. Learn how brands and agencies save time, reduce errors, and scale campaigns across channels.

Takeaways
Fluency positions itself as a digital advertising operating system, automating the full execution layer of campaigns.

The platform eliminates manual ad ops work, saving up to 92% of time and clicks through automation.

It enables massive-scale execution, such as launching hundreds of TikTok accounts instantly instead of taking years to do manually.

Brands and agencies use Fluency to do more with constrained budgets and limited headcount.

AI (via Muse) enhances workflows with automated reporting, insights, and even video summaries for clients.

The platform supports rule-based automation, allowing campaigns to react dynamically to data like weather, inventory, or occupancy.

Cross-channel execution is unified, helping teams manage budgets and performance across platforms in one system.

Media companies use Fluency to scale advertising services for small businesses efficiently through automation and AI-generated creative.

AI is lowering creative costs dramatically, making high-quality ads accessible even to small advertisers.

The biggest market challenge today is AI confusion and decision paralysis among businesses.

Chapters
00:10 Intro & Guest Welcome
00:22 What is Fluency?
00:54 Digital Advertising Operating System Explained
01:46 Who Uses Fluency? (Brands vs Agencies)
04:08 Real Example: Launching TikTok at Scale
05:34 Smart Automation & Data-Driven Campaign Logic
05:49 AI vs Automation in Ad Ops
07:08 Introducing Muse AI
08:18 Automated Reporting & AI-Generated Video Summaries
09:14 Cross-Channel Advertising Challenges
10:29 Sell-Side & Media Company Use Cases
12:07 AI’s Impact on Creative Production Costs
13:29 Vision: Scaling to $100B in Ad Spend
15:30 Biggest Market Challenge: AI Overload
15:56 Competitive Advantage & Ecosystem Role
16:46 Lightning Round & Fun Close

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18min
April 17, 2026Episode 169: Joe Ligé on Culture and How it Works in Advertising
Joe Ligé, Founder & CEO, Culture Hive Media Group, explains why culture, not identity, drives performance in advertising.
We break down cultural targeting, AI-powered ad relevance, and how brands can avoid “cringe” marketing moments. Plus: Meta vs. Google ad revenue, OpenAI’s ad future, and Viant’s latest acquisition strategy.

Takeaways
Culture Demographics

Bad ads come from cultural blind spots

Cultural relevance can be measured

Brands should focus on rituals, communities, and moments

Programmatic is shifting from “who” to “where.”

Authenticity beats proximity

Meta’s growth is accelerating

OpenAI ads are coming
Chapters
00:00 Intro + Ari’s tech meltdown
00:45 Guest intro Joe Ligé Culture Hive Media Group
02:03 What is Culture Hive Media Group
03:17 Origin story behind the culture, first advertising
05:42 Culture vs ethnicity explained
07:59 Rethinking targeting beyond demographics
08:46 Cultural cornerstones, rituals, communities, moments
09:56 How the Cultural Relevancy Score CRS works
12:22 Using AI to detect bias and bad ads
15:24 Authenticity vs cringe marketing
16:42 Case study Mountain Dew and gaming culture
19:01 How the tech and programmatic integration works
21:21 Culture first strategy and audience expansion
25:04 News Meta vs Google OpenAI ads Viant deal
49:32 Wrap up

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52min
April 13, 2026Signal vs. Static: How We Get to True CTV Transparency
At Marketecture Live III in New York City, Mario Diez, Chief Executive Officer, Peer39, and David Nyurenberg, SVP of Digital, InterMedia Advertising, broke down the biggest challenge in CTV today: the lack of signal transparency.

They explored how missing or inconsistent data in the bidstream leads to inefficient buying, commoditized inventory, and limited optimization. Backed by real research and case studies, the conversation highlights why richer signals, better supply paths, and industry-wide transparency are critical to unlocking CTV’s full performance potential.

Takeaways
60% of CTV inventory is blind, lacking usable signals for buyers

Without signals, algorithms cannot optimize effectively

Completion rates can be misleading without content-level context

Signal transparency enables better performance even at higher CPMs

Supply path optimization should prioritize signal quality, not just cost

Publishers can increase value by sharing more data, not less

Lack of transparency leads to commoditization of premium inventory.

Industry-wide collaboration is needed to improve signal standards
Chapters
00:00 Introduction to CTV signal challenges and transparency
01:19 How CTV evolved from linear but lost signal clarity
02:29 Why buyers struggle without content-level data
04:44 Research reveals 60% of CTV inventory is blind
06:01 Example: the same content appears differently across platforms
07:05 Supply path optimization and signal quality
10:14 Why completion rate is a misleading metric
11:10 Impact of UGC and misclassified content on campaigns
12:05 Why transparency is key to performance CTV
13:12 Case study: Full transparency drives better results
14:26 Improvements in program-level signals across the market
15:38 Challenges in valuing premium content like sports
17:22 Transparency as a choice for buyers and publishers
18:16 Industry barriers, including outdated privacy laws
20:40 What buyers and publishers can do moving forward

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24min
April 10, 2026Episode 168: A Guide for Using AI Agents in Media Analytics, with Newton Research’s John Hoctor
John Hoctor, CEO of Newton Research, joins Ari Paparo and Eric Franchi to break down how AI agents are reshaping marketing analytics. From automating complex workflows to enabling faster experimentation, the conversation explores what “agent-native” really means and how brands can move beyond basic AI usage.

Takeaways
AI agents act like junior data scientists, automating complex analytics workflows.

Consistency and methodology matter more than raw AI capability in enterprise use.

Most companies still underutilize their data despite having access to it.

Incrementality testing becomes more scalable when automation removes setup friction.

The future isn’t just AI tools—it’s structured, repeatable workflows built around them.

Chapters
00:00 Intro & Guest (John Hoctor, Newton Research)
01:06 Ari’s CBS Sunday Morning Appearance
02:32 Podcast Updates & Website Move
04:06 What is Newton Research?
06:49 Early AI Agents & ReAct Framework
09:54 How the Agents Work (Architecture)
11:43 Training Agents Like Data Scientists
14:40 Workflows vs Prompting (Execution)
16:38 Incrementality & Automated Testing
19:07 Causal Models & Advanced Analytics
23:12 Advice for Marketers Using AI
28:03 News Segment Begins (TBP / OpenAI Deal)
34:59 Mediaocean + Agentic Buying Discussion
38:18 MiQ Growth & Publicis + Microsoft Deal
44:59 Meta AI, Claude Mythos & Closing

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57min
April 06, 2026The Publisher’s Guide to Thriving in the AI Era
Neil Vogel, Chief Executive Officer, People Inc., and Mark Stenberg, Senior Media Reporter, ADWEEK, share how modern publishers can survive and thrive amid declining search traffic and the rise of AI. From diversifying revenue streams to building durable brands, Neil breaks down the strategies that helped People Inc. achieve consistent growth despite industry disruption.

Takeaways
Strong brands are the most valuable asset in media today

Relying on a single platform like Google is risky

Diversification across platforms and revenue streams is essential

Direct relationships with audiences and advertisers drive durability

AI licensing is becoming a major revenue opportunity

Media success requires constant adaptation, not entitlement

Growth comes from scaling new channels while managing legacy ones

Chapters
00:00 Introduction to the AI era challenges in publishing
01:52 The origin of People Inc.’s strategy and acquisitions
03:45 The “Google Zero” mindset and early adaptation
05:52 Shifting from search reliance to diversified channels
06:45 Balancing declining web traffic with new growth areas
08:38 Why constant change is normal in media
09:20 AI licensing deals and new revenue models
10:05 Types of AI content licensing agreements explained
12:14 Why publishers must demand fair compensation from AI
13:24 The challenge of negotiating with Google
15:48 Why only strong brands will survive long term
16:42 Focusing on top-performing brands in a portfolio
18:40 The limits of service-based publishing brands
20:06 The importance of diversification in audience and revenue
21:13 Final thoughts on building a resilient media business

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24min
April 03, 2026Episode 167: How Infillion Bought Catalina and How it Fits with MediaMath
Rob Emrich, Founder and Executive Chairman of Infillion, joins to talk about the Catalina acquisition, why retail data matters, and how his company is building a full-stack ad tech platform through acquisitions and integration. The conversation touches on DSP strategy, data advantages, and how the industry is shifting toward outcomes-driven advertising.
Takeaways
Catalina evolved from coupon printing into a powerful retail data asset

SKU-level purchase data is a key differentiator in advertising

Infillion’s strategy is to integrate data, media, and tech into one platform

DSPs are increasingly defined by proprietary data and a unique supply

Acquisition strategy matters more than just collecting assets

Retail media is a continuation of older data-driven advertising models

Financial vs strategic ownership can shape how companies evolve

Chapters
00:00 Intro & Guest Tease
01:20 April Fool’s Day Banter
04:15 Guest Introduction Rob Emrich
05:36 Catalina Acquisition Explained
07:09 Evolution from Coupons to Data Business
09:06 SKU Level Data & Its Value
11:14 How the Deal Happened
13:46 Infilion Strategy DSP and Data
15:35 Rob’s Background & Company Origins
19:46 Acquisition Strategy
22:18 The Factory Model of Ad Tech
26:05 Customer Profile & Verticals
31:07 Amazon Ads Tops Forrester Wave
38:47 New DSP Tools & Market Expansion
44:27 OpenAI Massive Fundraise

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57min
April 03, 2026 Episode 123: Rob Emmerich
Guests: [email protected], [email protected]
Inside Infillion's Acquisition of Catalina: Data, Retail Media, and Ad Tech Consolidation
This week on Marketecture, Ari Paparo and Eric Franchi sit down with Rob Emrich, Executive Chairman of Infillion, to unpack the implications of Infillion's recent acquisition of Catalina. The discussion covers Catalina's shift from a print coupon operation to a highly granular data business—and why access to SKU-level, in-store purchase data is a strategic asset as retail media matures.
Rob shares context on how Infillion is assembling a differentiated full-stack solution by combining DSP technology (including the MediaMath platform), creative tech, and proprietary data assets. The conversation explores industry consolidation, Infillion's philosophy on integrating acquisitions, and the challenges of serving CPG, pharma, and travel marketers with unique data and media offerings.
You'll also hear timely analysis of the latest Forrester Wave, the evolving competitive landscape in DSPs, and recent moves by platforms aiming at mid-market and SMB advertisers. Mixed in: candid insights on raising capital in ad tech, the tension between neutrality and vertical integration, and a few lighter moments from ad industry April Fool’s antics.
A thoughtful episode for anyone following the shifts in programmatic advertising, retail media, and the business models shaping the next wave of ad tech.

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21min
March 30, 2026The Parallel Infrastructure: Why Premium CTV Publishers Are Building Outside the Programmatic Stack
At Marketecture Live, Ari Paparo from Marketecture Media joins Philip Inghelbrecht, Co-Founder & CEO at Tatari, Bill Murray, Head of Growth and Performance at Warner Bros Discovery, and Michael Reidy, Senior Vice President, Ad Sales at NBCUniversal.
They unpack how streaming inventory is bought and sold, the balance between programmatic and direct deals, and why premium inventory often sits outside traditional programmatic pipes. The discussion also explores live events, automation, and how new solutions like Tatari’s Upstream aim to reshape access to high-quality CTV inventory.

Takeaways
The U.S. TV ad market is ~$90B, with $60B still in linear and $30B in streaming

Only about half of streaming inventory is programmatic, and much of the premium supply is sold directly

Direct buying offers advantages like guaranteed inventory, brand safety, and fewer intermediary fees

Programmatic excels in targeting, flexibility, and discovery of new audience opportunities

Publishers view direct and programmatic as complementary, not competing channels

Live events and moment-driven content create spikes that favor guaranteed direct deals

Automation is reshaping direct buying, making premium inventory more accessible to smaller advertisers

Tatari’s Upstream aims to automate direct deals and bypass traditional programmatic layers

The future of CTV will likely be hybrid, combining automation, data, and direct relationships

Chapters
00:00 Introduction to the Marketecture Live discussion
00:21 Breaking down the $90B TV and CTV market
02:04 Overlap between direct and programmatic inventory
02:30 Publisher perspective on inventory strategy
04:03 Advertiser value targeting vs premium placement
05:03 Why direct and programmatic are complementary
06:07 Benefits of direct buying for brands
07:30 Brand safety, fraud, and cost efficiencies
08:40 The importance of publisher relationships
09:30 Live events and operational challenges
10:08 Peacock strategy and nowness content
11:35 Dynamic ad insertion vs linear pass-through
12:34 Audience behavior and shared viewing moments
13:14 Managing unpredictable live inventory
14:08 Introducing Tatari’s Upstream platform
15:40 Automation of direct deals
16:00 Concentration of CTV supply among top publishers
17:04 Lowering barriers for new advertisers
18:15 How Upstream benefits publishers and buyers
19:45 Future roadmap and machine learning optimization
22:07 Performance vs brand programmatic vs direct debate
22:33 Growth of CTV and advertiser adoption
23:12 The future coexistence of direct and programmatic

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26min

FAQs about Marketecture: Get Smart. Fast.:

How many episodes does Marketecture: Get Smart. Fast. have?

The podcast currently has 394 episodes available.

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