In this episode, Todd and Kelly take on the marketing industry's obsession with AI tools, proprietary dashboards, and ever-expanding tech stacks.

Fresh off a call with a tech partner showcasing a Bayesian MMM platform fused with an LLM, they dig into why so many agencies and in-house teams treat owning a tool as if it were the same as having an advantage.

Their argument is simple and a little uncomfortable: the tool is never the value. The people using it, the strategy behind it, and the willingness to do the hard work of adoption are what actually move a business forward.

They get into:

→ Why "access" to a platform anyone can license is not a competitive advantage

→ How shiny object syndrome turns six-figure platforms into expensive paperweights

→ Why your most experienced people are often the slowest to adopt new tech (and why that's a good sign)

→ How holdco pitches lean on whiz-bang capability while staying quiet on how those tools change real decisions

→ The F1 car analogy that explains why specs mean nothing without a race plan

→ The four RFP questions that separate real fire from pure smoke If you're a CMO or marketing leader writing your next RFP, this one will change the questions you ask.

The takeaway: don't buy the smoke. Make sure there's real fire behind it.

Chapters:

• (00:00:00) The Easy Button Myth in Marketing Tech
• (00:02:30) Can You Actually Trust What the AI Tool Tells You
• (00:05:00) Access Versus Real Competitive Advantage
• (00:07:30) Shiny Object Syndrome and the Expensive Paperweight
• (00:11:00) Why Senior Teams Resist Adopting New Tools
• (00:14:30) What Agency RFPs Get Wrong About Tech Stacks
• (00:18:00) Talent Beats Technology Every Time
• (00:22:30) The F1 Car Analogy: Specs Versus Race Plan
• (00:27:00) Trust, Relationships, and Honest AI Use
• (00:31:00) Do Not Sell the Smoke: The Real Takeaway

Links and Resources:

• Kelly Maguire on LinkedIn
• Todd Juneau on LinkedIn
• Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly dive into a provocative Harvard Business Review article exploring how AI-powered commerce agents in China are already making purchasing decisions on behalf of consumers — and what that means for the entire marketing industry.

Todd argues that these agents operate purely on algorithms, structured data, and utility signals, bypassing brand affinity and emotional connection entirely.

Kelly pushes back, insisting that human preferences, emotional buying behavior, and brand loyalty still play a critical role — especially in US markets where consumers aren't ready to hand over full purchasing autonomy to a machine.

The two debate whether performance marketing, attribution models, and traditional advertising funnels can survive in a world where the "customer" is an algorithm, not a person.

They explore Google's Zero Moment of Truth framework, draw parallels to self-driving cars, and land on a shared conclusion: upstream strategic thinking and creative problem-solving will be more valuable than ever for marketing leaders navigating this shift.

Chapters:

• (00:00:00) - Cold open: How advertising shapes buying decisions today
• (00:01:05) - Episode intro and Arsenal heartbreak
• (00:02:00) - The HBR article: AI agents are conducting commerce in China
• (00:05:05) - What happens to performance marketing when agents buy for you?
• (00:07:10) - Todd vs. Kelly: Do AI agents follow brand preferences or pure algorithms?
• (00:11:00) - Todd's case: Agents optimize on price, utility, and data — not loyalty
• (00:14:00) - Kelly's counterpoint: Humans will never fully surrender emotional buying
• (00:18:30) - Attribution in a black box: Can you track what an AI agent does?
• (00:24:00) - The Zero Moment of Truth and why upstream marketing still matters
• (00:31:00) - Final take: What CMOs and agencies need to prepare for now

Links and Resources:

• Kelly Maguire on LinkedIn
• Todd Juneau on LinkedIn
• Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly address the real trade-offs between bespoke, tool-agnostic agency work and “proven framework” agencies, and when bringing marketing agency work in-house actually helps or hurts.

They debate why productized agency “machines” sell so well (trophies, repeatability, and perceived certainty), why truly custom solutions are operationally harder but often better aligned to business realities, and how marketer expectations can get misaligned when a brand wants F1 performance with NASCAR budgets.

They also dig into the talent, incentives, and learning dynamics that make it difficult for most brands to keep a truly top-tier media and marketing function in-house, unless the brand has enough scale, specialization, and leadership to sustain it.

Chapters:

• (00:00:00) Bespoke vs framework agencies: the core tension
• (00:03:10) Tool-agnostic strategy: why “fit” beats defaulting to one platform
• (00:06:20) Incentives, closed ecosystems, and where hidden money can show up
• (00:08:50) Why the “shiny machine” sells (and why bespoke is harder to buy)
• (00:11:20) Are clients paying for learning curves—or for edge?
• (00:14:20) The F1 car analogy: trophies vs building the right car for the race
• (00:17:00) Matching the “race” to the business: maturity, budgets, and constraints
• (00:21:50) In-house vs agency: the talent and learning opportunity problem
• (00:26:30) When in-house can work: scale, specialization, relationships, leadership
• (00:30:10) The concentration risk: what happens when key people leave

Links and Resources:

• Kelly Maguire on LinkedIn
• Todd Juneau on LinkedIn
• Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly address a growing tension in marketing: expectations that agency work should cost less because of AI, even as the cost of senior talent and modern tech stacks continues to rise.

They argue that AI is powerful at improving the execution layer, including generating options, accelerating testing, and enhancing optimization workflows, but it cannot own judgment or decide what truly matters to a business.

The conversation breaks down why “process agencies” often rely on junior teams and automation, why that model can amplify bad strategy, and why long-term success still depends on experienced marketers, transparent measurement, and aligned incentives that reward partners for going beyond “good enough.”

Chapters:

• (00:00:00) Intro: AI, agency economics, and why this topic matters now
• (00:01:00) Inside the indie agency retreat: what the panel got right and missed
• (00:02:30) The question clients avoid: why talent + tech is not getting cheaper
• (00:04:00) What AI is actually improving: the execution layer and pitch theater
• (00:05:30) The risk: junior teams + automation turning agencies into “process shops”
• (00:06:45) Strategy still needs people: judgment, experience, and what matters most
• (00:08:00) What clients are really buying when they hire an agency
• (00:10:00) Short-term thinking, CMO pressure, and the “throw money at it” trap
• (00:11:15) AI incentives and laziness: why cheap engagements lead to bare minimum
• (00:13:10) Why aligned incentives matter: performance upside and shared wins
• (00:16:00) How AI works (and doesn’t): probabilities, not reasoning or business context
• (00:19:30) The team you actually need: strategy, account leadership, specialists, analysts
• (00:25:00) The core contradiction: higher costs, higher expectations, lower fees
• (00:28:30) Why clients choose the shiny pitch and then feel buyer’s remorse
• (00:32:00) Procurement “guarantees” and why handcuffs break performance marketing
• (00:36:30) The hidden risks: narrative control, papering over cracks, and trust
• (00:38:15) “Rounding error” clients: why top talent moves to bigger, better-fit accounts
• (00:40:15) The better bet: pay fairly, get priority, and use AI to raise outcomes
• (00:41:45) Closing challenge: CMOs, explain why you expect more for less

Links and Resources:

• Kelly Maguire on LinkedIn
• Todd Juneau on LinkedIn
• Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly debate a widely discussed case study claiming an “agentic media buy” bypassed the DSP to reduce supply-chain costs and shift more budget into working media.

They address what DSPs actually contribute, why headlines about “cheaper and faster” can be misleading, and how cost savings often reappear elsewhere in the ecosystem.

The conversation moves from the mechanics of media buying to the human realities of capacity, burnout, and talent costs. They ultimately frame agentic workflows as an evolution that may remove entry-level tasks while increasing the premium on senior talent, strategy, and decision-making.

Chapters:

• (00:00:00) Opening and why “agentic media buying” is getting hype
• (00:02:30) The case study claim: bypassing the DSP and reallocating fees to working media
• (00:05:20) What a DSP actually does and why it's not “inherently bad”
• (00:08:10) Why “savings” rarely stay savings: value shifts and someone monetizes it
• (00:11:40) Agency economics: fee pressure, utilization, and the race to the bottom
• (00:16:00) The human constraint: focus, burnout, and “AI brain fry”
• (00:20:10) What agentic systems may automate (setup, trafficking) vs. what stays human (judgment)
• (00:24:40) The risk of paying less and getting worse, and why “better outcomes” should be the goal
• (00:31:50) Where this goes next: evolution, talent getting more expensive, and the entry-level gap

Links and Resources:

• Kelly Maguire on LinkedIn
• Todd Juneau on LinkedIn
• Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly break down the practical difference between zero-party data (what people willingly tell you) and first-party data (what you observe from owned interactions), and why the industry’s privacy shift has not eliminated tracking so much as it has made measurement more fragmented and harder to interpret.

They debate whether cookies will ever truly go away, why consumer behavior tends to default to convenience (even when privacy is a concern), and how “sleeping giants” with money and incentives will keep finding new ways to build audiences.

From there, they explore where synthetic personas fit in today: not as a magic replacement for real data, but as a way to pressure-test messaging, creative, and experiences before spending heavily.

Finally, they zoom out on the bigger measurement challenge: when direct attribution gets noisy, the next frontier is faster, more accessible pattern recognition and media mix-style modeling powered by AI, which can help marketers ask better questions, explore more hypotheses, and make more confident decisions across long, multi-touch journeys.

Chapters:

• (00:00:00) Cold open: why data gets collected “one way or another”
• (00:01:10) Intro banter, then diving into zero-party vs first-party data
• (00:02:00) What is zero-party data, and where does it come from?
• (00:05:10) Why it matters most for long decision journeys (healthcare, high-consideration)
• (00:07:15) The real marketing challenge: multi-stage investment and ROI math
• (00:09:00) Tracking, privacy, and why “accept all” is still the default behavior
• (00:14:20) Synthetic personas: where it helps today (creative and message testing)
• (00:20:40) Is targeting better or worse than 5–10 years ago?
• (00:23:20) Why AI changes analytics: faster hypothesis testing and pattern discovery
• (00:34:40) The risk: AI can scale bad assumptions as fast as good ones

Links and Resources:

• Kelly Maguire on LinkedIn
• Todd Juneau on LinkedIn
• Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly discuss the often confusing world of influencer and creator marketing, revealing why most brands still get it wrong.

They break down the critical difference between creators (who produce content for your marketing engine) and influencers (who use their audience to drive direct sales), and explain how understanding this distinction can save you thousands of dollars in wasted marketing spend.

Through real-world examples—from a sailing influencer's Friskies sponsorship to the fragmented consumer journey that kills conversions—they expose the broken systems plaguing the industry and share their vision for fixing it with their upcoming platform, Social Fair.

Whether you're a brand struggling to see ROI from influencer partnerships or wondering why your creator campaigns aren't converting, this episode provides the framework you need to finally make influencer marketing work for your business.

Chapters:

1. (00:00:00) - Introduction: Why Most Influencer Campaigns Fail
2. (00:01:47) - The Critical Difference Between Creators and Influencers
3. (00:05:42) - Real-World Example: Sailing with Phoenix and the Friskies Deal
4. (00:09:14) - Brand Marketing vs. Performance Marketing in the Creator Economy
5. (00:13:48) - The Authenticity Problem: When Creators Compromise for Paychecks
6. (00:17:23) - Creator Strategy: Building Content for Your Marketing Engine
7. (00:19:37) - Influencer Strategy: Leveraging Their Audience for Direct ROI
8. (00:23:41) - The Fragmented Consumer Journey That Kills Conversions
9. (00:26:34) - Why Influencer Compensation Should Be Tied to Outcomes
10. (00:29:47) - Introducing Social Fair: Democratizing the Creator Economy

Links and Resources:

1. Kelly Maguire on LinkedIn
2. Todd Juneau on LinkedIn
3. Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

In this episode, Todd and Kelly talk about advertising and media budgets and why mid-market brands often struggle to get real attention from large agencies.

Smaller accounts are frequently handed to junior teams, while senior talent focuses on nine-figure budgets that can afford mistakes. With $100 million, errors can be absorbed. With $15 million, every dollar matters.

They also address the hype around AI. Tools can’t fix a weak plan. They simply make a good strategy better or a bad one worse.

If you manage a seven or eight-figure ad budget and aren’t seeing the results you were promised, this episode explains why. You’ll hear how agency economics really work, why some fee models fail mid-sized brands, and what to look for in a partner who treats your budget like it’s their own.

Chapters:

1. (00:00:00) - Retreat Revelations: Why We're Rethinking Everything About Mid-Market Advertising
2. (00:01:43) - The Underserved $5-25M Ad Budget Market
3. (00:06:00) - Why Small Budgets Can't Paper Over Mistakes
4. (00:09:00) - The Middle Market Dead Zone Challenge
5. (00:12:04) - AI Tools Won't Save Bad Strategy
6. (00:15:00) - The Dilution Effect: Big vs. Mid-Size Budgets
7. (00:18:00) - Room for Error: $100M vs. $15M Realities
8. (00:21:00) - Why Marketers Choose Big Agencies (And Shouldn't)
9. (00:28:00) - The Math That Doesn't Work: Fee Structures Exposed
10. (00:31:00) - Finding the Right-Sized Agency Partner

Links and Resources:

1. Kelly Maguire on LinkedIn
2. Todd Juneau on LinkedIn
3. Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly address the evolution of brand authenticity and marketing. They debate whether traditional brand building—where companies like Volvo owned "safety" and BMW owned "performance"—is dying in favor of personality-driven influencer marketing.

The conversation explores how legacy brands built equity through mass media versus how modern startups leverage influencers and social commerce to break through.

They discuss the shift from tactile retail discovery to algorithm-driven feeds, the role of content formats like TikTok in reshaping consumer behavior, and why brand value now often depends more on celebrity endorsement than product quality alone.

The episode also touches on their own social commerce platform venture and how the purchase journey has fundamentally changed from considered brand loyalty to impulse algorithmic buying.

Whether you're a brand marketer, entrepreneur, or just interested in consumer behavior, this episode challenges conventional thinking about what makes brands successful today.

Chapters:

1. (00:00:00) - Opening: The Rise of Influencer-Driven Marketing
2. (00:01:00) - Brand Authenticity: Is It Dying in the Digital Age?
3. (00:03:00) - Legacy Brands vs. Modern Startups: Different Paths to Trust
4. (00:06:00) - The Evolution from Retail Discovery to Algorithm-Driven Feeds
5. (00:09:00) - What Makes Brands Authentic? Defining the Promise
6. (00:12:00) - Personality-Driven Marketing: Why Influencers Matter Now
7. (00:15:00) - Tesla, Elon Musk, and the Shift Away from Traditional Brand Building
8. (00:17:00) - Social Commerce: How Consumers Discover and Buy Today
9. (00:20:00) - From Mass Media to Instagram Feeds: The New Purchase Journey
10. (00:23:00) - The TV Commercial vs. The Influencer Post: What's Really Different?
11. (00:26:00) - Starting a Brand Today: Why You Need Influencers First
12. (00:30:00) - Impulse Buying and the Algorithm: When Brand Loyalty Doesn't Matter
13. (00:32:00) - The Price Ceiling: When Consumers Still Need Brand Consideration

Links and Resources:

1. Kelly Maguire on LinkedIn
2. Todd Juneau on LinkedIn
3. Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!

Todd and Kelly sit down with Sami Akkawi, founder of Petra Labs, to explore the seismic shift from traditional SEO to Answer Engine Optimization (AEO).

Sami, who made the leap from Morgan Stanley investment banking to AI-driven marketing, reveals why brands must fundamentally rethink their digital strategy as AI models like ChatGPT become the new gatekeepers of consumer trust.

The conversation dives deep into the tension between optimization and manipulation, exploring whether AI search truly delivers on its promise of truth-seeking or simply creates new opportunities for those with the deepest pockets.

From Reddit's hidden algorithms to the death of programmatic content, this episode challenges marketing executives and brand managers to confront the truths about authenticity, scalability, and the future of consumer engagement.

Sami shares compelling data on why AI traffic converts 7-15 times better than traditional sources, how smaller brands can compete against giants like Amazon, and why the SEO playbook of the last 20 years might be more relevant—and more obsolete—than anyone expected.

Chapters:

1. (00:00:00) - The Trust Revolution in AI Search
2. (00:01:00) - From Wall Street to AI: How a Morgan Stanley Banker Became an Answer Engine Expert
3. (00:02:48) - From SEO to AEO: Defining Answer Engine Optimization
4. (00:04:00) - Why AI Traffic Converts 7-15x Better Than Traditional Search
5. (00:06:58) - The Fine Line Between Optimization and Manipulation
6. (00:11:43) - How AI Models Assign Authority Differently Than Google
7. (00:15:00) - Personalization at Scale: The Future of AI-Driven Recommendations
8. (00:18:20) - Can Small Brands Compete Against Giants in AI Search?
9. (00:22:43) - User Generated Content: Reddit, TikTok, and the 8-Month Rule
10. (00:30:00) - Healthcare vs CPG: Industry-Specific AEO Strategies
11. (00:35:42) - The Danger of Short-Term Hacks and Long-Term Consequences
12. (00:41:18) - Content is Still King: Why Authentic Storytelling Matters More Than Ever
13. (00:45:30) - The $399/Month Easy Button Myth: Why Real Work Still Wins

Links and Resources:

1. Petra Labs Website
2. Sami Akkawi on LinkedIn
3. Kelly Maguire on LinkedIn
4. Todd Juneau on LinkedIn
5. Vuja Dé Digital

Thanks so much for joining us this week. Want to subscribe to Contrary to Popular Opinion? Have some feedback you’d like to share? Connect with us on Spotify, Apple Podcasts and YouTube to leave us a review!