Contrary to Popular Opinion

Vuja Dé Digital
  • 5.0 (3)
  • Marketing
  • Updated Weekly

Created by Vuja Dé Digital, Contrary to Popular Opinion brings you provocative topics and novel perspectives around leadership, business, and marketing. The podcast delves into the latest industry topics featuring insights from marketing experts and industry leaders, along with Vuja Dé Digital’s co-founders. Subscribe and tune in weekly to stay in the know about everything important across business, advertising, and performance marketing!

  1. 4d ago

    AI Changed How Customers Buy. Is Your Brand Ready?

    Search isn't a list of links anymore, and brands that don't adapt are going to disappear from the customer journey without ever knowing why. In part two of this three-part SEO/AEO/Paid Search conversation, Todd Juneau and Kelly McGuire sit down with organic marketing expert Tanner Zoromski to break down how AI Overviews, personalized results, voice search, and conversational shopping are changing the way people find and choose products. They get into why fewer website visitors can actually mean more business, what it takes to make your brand understandable to AI systems and search engines, and the real risks brands need to watch for: paid influence inside AI answers, reputation attacks, biased recommendations, and smaller businesses getting crowded out. If you're deciding where to put your marketing budget next, this episode makes the case plainly. Build a strong technical foundation. Publish content that's genuinely useful. Understand the questions your customers are actually asking. And start building your organic presence now, before you need it. Chapters: (00:00:00) The evolving future of search(00:01:55) What has changed on the Google results page(00:04:10) AI Overviews, ads, and zero click searches(00:08:30) Mobile search, voice answers, and changing behavior(00:12:00) How personalization changes SEO and AEO(00:15:25) AI is reshaping the path to purchase(00:21:15) Can brands game large language models?(00:26:45) Real examples of AI guided shopping(00:30:20) Reviews, reputation, and the risk of review bombing(00:33:05) The one organic move CEOs should make now Links and Resources: Tanner Zoromski on LinkedInKelly Maguire on LinkedInTodd Juneau on LinkedInVuja 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!

  2. Aug 3

    The Real Reason Your Organic Traffic Dropped 80%

    Google is processing more searches than ever, yet most brands are watching organic traffic drop 30 to 80 percent. Todd Juneau and Kelly McGuire sit down with search expert Tanner Zoromski to explain why both things are true, and what AI overviews, Google SGE, ChatGPT, and Gemini mean for SEO, GEO, and AEO in 2026. This episode covers technical SEO fundamentals, search intent, the real impact of AI overviews on organic traffic, how Reddit and YouTube now shape AI search results, whether GEO and AEO can be gamed, which large language models matter most for your brand, and why AI-generated content may be setting brands up for a reckoning. If you're a marketer, CMO, or brand trying to make sense of search in the age of AI, this is the conversation you need. Chapters: (00:00:00) - SEO Isn't Dead: Meet Search Expert Tanner Zaromsky(00:02:26) - From Blue Links to AI Overviews: How the SERP Evolved(00:05:14) - Quick Answers vs AI Exploration: How Search Behavior Is Splitting(00:08:17) - What Hasn't Changed: Technical SEO and Search Intent Fundamentals(00:10:22) - Explaining the 30 to 80 Percent Organic Traffic Drop(00:13:51) - Why Brand Building Now Starts Before the Search(00:16:41) - Rapid Fire: SEO Myths, True or False(00:21:33) - GEO and AEO: Can You Game AI Search Results?(00:25:23) - Optimizing for ChatGPT, Claude, Copilot, and Gemini(00:28:36) - Will Google Penalize AI-Generated Content? Links and Resources: Tanner Zoromski on LinkedInKelly Maguire on LinkedInTodd Juneau on LinkedInVuja 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!

  3. Jul 23

    Your Attribution Model Is Probably Wrong - Why Marketing Mix Modeling Works

    Todd and Kelly address why your attribution model is probably wrong and why media mix modeling works. They explore how you can correlate whether media investment is genuinely driving business outcomes. They address the difference between correlation and causation, explain why platform reporting alone can create a distorted picture of performance, and explore how media mix modeling can help leaders make better decisions with imperfect data. The discussion also speaks to when a business is ready to invest in more sophisticated measurement, the operational gaps that make modeling difficult, and why full-funnel thinking remains essential for brands that want durable growth instead of short-term luck. For marketing leaders, brand managers, and agency professionals, this episode offers a practical perspective on connecting strategy, creative, customer journeys, and media spend to the outcomes that matter. Chapters: (00:00:00) Why brand value extends beyond product functionality(00:04:00) From simple attribution to complex customer journeys(00:08:00) Correlation, causation, and confidence levels(00:13:00) Why independent measurement matters beyond platform reporting(00:16:00) When businesses should invest in media mix modeling(00:20:00) Why many midmarket brands still lack sophisticated measurement(00:24:00) How teams make media decisions without a unified model(00:27:00) Brand, needs, wants, and the role of consumer perception(00:32:00) Building sustainable growth through full funnel strategy(00:36:00) Connecting communication strategy to the customer experience Links and Resources: Kelly Maguire on LinkedInTodd Juneau on LinkedInVuja 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!

  4. Jul 8

    Your Data Is Lying to You About What Works

    In this remix episode, Todd Juneau and Kelly Maguire revisit their sharpest takes on measurement, full-funnel growth, AI, agency accountability, and marketing mix modeling. They dig into why many brands are still relying on incomplete measurement, how lucky streaks and singular tactics can easily stall growth, and why the funnel still matters in a fragmented customer journey. They also explore whether AI is replacing creative strategy or simply raising the bar for better judgment, sharper thinking, and more accountable marketing. Chapters: (00:00:00) - Introduction: The Full Funnel Measurement Gap(00:01:03) - Why Less Than 25% of Mid-Market Brands Use Sophisticated Measurement(00:03:12) - The Real Barriers: Cost, Time, Expertise, and Accountability Avoidance(00:05:10) - Is the Traditional Marketing Funnel Still Relevant in 2025?(00:06:22) - The Facebook Era, TikTok Shop, and the Danger of Singular Tactics(00:07:45) - Why Full Funnel = Control, Sustainability, and Owning Your Growth(00:09:30) - Will AI Make Creative Strategy Obsolete?(00:10:42) - The Coach vs. Athlete Analogy: Creatives in an AI-Driven World(00:12:15) - The Agency Model Under Threat: Is AI Replacing Media Buying?(00:15:30) - When Should a Brand Actually Invest in Marketing Mix Modeling? Links and Resources: The Case for Media Mix Modeling: Correlation Beats GuessworkThe ROAS Trap: How Chasing Attribution Impacts Your MarketingKelly Maguire on LinkedInTodd Juneau on LinkedInVuja 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!

  5. Jun 16

    Shiny Object Syndrome: Why Tech Doesn’t Equal Strategy

    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 LinkedInTodd Juneau on LinkedInVuja 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!

  6. May 27

    If AI Buys Everything on Your Behalf, Where Does Advertising Fit In?

    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 LinkedInTodd Juneau on LinkedInVuja 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!

  7. May 13

    A 'Proven Agency Process' is Only Valuable if it Fits Your Business

    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 LinkedInTodd Juneau on LinkedInVuja 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!

  8. Apr 28

    The Real Cost of AI: What Most Agencies Won't Tell You

    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 LinkedInTodd Juneau on LinkedInVuja 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!

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About

Created by Vuja Dé Digital, Contrary to Popular Opinion brings you provocative topics and novel perspectives around leadership, business, and marketing. The podcast delves into the latest industry topics featuring insights from marketing experts and industry leaders, along with Vuja Dé Digital’s co-founders. Subscribe and tune in weekly to stay in the know about everything important across business, advertising, and performance marketing!

Information

  • Creator
    Vuja Dé Digital
  • Years Active
    2024 - 2026
  • Episodes
    78
  • Rating
    Clean
  • Copyright
    © Copyright 2026 Vuja Dé Digital
  • Show Website
    Contrary to Popular Opinion