Podcasts about CMO

What if your next competitive advantage wasn't a new product, but a new kind of leader? Doug Powell believes designers and design thinkers have the skills business needs most right now, the ability to connect human needs with strategic goals, to navigate uncertainty, and to see opportunities others miss. In a world of rapid technological change and economic contraction, that perspective can be the difference between falling behind and defining what's next. Doug has spent his career proving it. At IBM, he helped build one of the largest corporate design programs in history, hiring over 1,000 designers, embedding human-centered design across global teams, and aligning design thinking with enterprise strategy. He's led at the highest levels of AIGA, advised Fortune 100 leaders, and now coaches executives on how to integrate design into the core of their decision-making. This is an essential time for design and designers. In the face of unprecedented global challenges and a rapidly evolving technological landscape, the core skills of human-centered design, empathy, curiosity, inclusion, collaboration, and craft, are needed more than ever. Doug believes designers are made for this moment. For business leaders, Doug's perspective is a wake-up call: designers and design thinkers are not just executors of creative work, they are catalysts for innovation, culture change, and long-term growth. Research from McKinsey shows that companies excelling in design outperform industry peers by up to 2x in revenue growth and shareholder returns. A 2023 InVision report found that 92% of high-maturity design organizations report a strong connection between design and business strategy. Doug argues that in a time of technological disruption and market uncertainty, leaders who integrate human-centered design into the decision-making core of their companies will be the ones defining what's next. In this conversation, you'll hear about: + Why companies that integrate design at the leadership level grow faster and create greater shareholder value +Lessons from building IBM's global design program from scratch in under four years +How human-centered design can break down silos and speed decision-making across functions +Why downturns are a prime opportunity to invest in innovation and talent +The lasting influence of Tibor Kalman and the responsibility of design to challenge complacency +How AIGA builds leadership capacity across industries and the value of giving back +Why designers will be at the center of AI's most transformative breakthroughs, and what leaders should do now Whether you're a CEO, CMO, or innovation lead, this episode will show you how to harness design as a strategic advantage, not just for better products, but for stronger teams, sharper strategy, and sustainable growth.

In a world of constant disruption and global uncertainty, how can marketing leaders keep their teams focused, inspired, and moving forward? In this week's episode, recorded live at the Deloitte Digital Apartment during the Cannes Lions Festival of Creativity, Jim welcomes four senior marketing leaders who share how they lead with resilience, creativity, and conviction across industries and borders.Mélanie Brinbaum, Chief Marketing Officer of Nestlé Zone Europe // With a career spanning some of the world's most iconic consumer brands, Mélanie has led marketing at Nespresso and KitKat and held senior roles at Coty, Procter & Gamble, and L'Oréal. Today, she is steering Nestlé's European portfolio through a period of rapid consumer change—balancing tradition with innovation.Daniele Calderoni, Global Head of Brand Marketing at Zurich Insurance // At Zurich, Daniele is reshaping perceptions of what insurance means to customers, emphasizing trust, purpose, and relevance. Her decade at Mars equipped her with a deep understanding of how brands create enduring emotional connections—a skill she now brings to an industry not always known for its human touch.Scott Mager, U.S. Chief Marketing Officer of Deloitte // As the U.S. marketing leader for one of the world's largest professional services firms, Scott is infusing humanity into a 180-year-old brand. His approach emphasizes empathy, storytelling, and connection—demonstrating how even legacy institutions can stay fresh and relatable in a crowded marketplace.Joy Allen-Altimare, Global Chief Marketing Officer of Saucony // Joy is driving Saucony into the future, connecting the beloved running brand with a new generation of athletes and lifestyle consumers. With past leadership roles in luxury, tech, and media, she brings a cross-industry perspective on building relevance and community in rapidly evolving markets.This episode is a masterclass in leadership during times of uncertainty—showcasing how bold brand leaders navigate complexity, inspire their people, and turn challenges into opportunities.---This week's episode is brought to you by Deloitte and StrawberryFrog.Learn more: https://strawberryfrog.com/jimSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Discover how a Fractional CMO can unlock your business's growth potential by providing high-level strategy and streamlining marketing efforts.   In this episode of Sharkpreneur, Seth Greene speaks with Draye Redfern, CEO and founder of Redfern Media. He shares his insights into the changing role of fractional leadership in marketing. After facing the challenges of running both an agency and a CMO service, Draye explains how fractional CMOs help businesses improve their marketing efforts while giving owners the ability to stay in control and promote growth.    Key Takeaways: → The benefits of using a fractional CMO to bridge gaps in marketing expertise. → How minor adjustments in marketing can drive profound business growth. → The importance of understanding KPIs and high-level strategy in marketing. → How fractional leadership brings both strategy and accountability to a business. → The challenges and rewards of transitioning from full-service agencies to fractional support.   Draye Redfern is the CEO and founder of Redfern Media, a marketing and consulting agency that helps businesses redefine their marketing approach with systematized processes and automations, turning prospects into loyal clients and brand ambassadors. He also founded Fractional CMO, which provides executive-level marketing strategies and resources without the cost of a full-time marketing director. Over the past decade, Draye has assisted clients across various industries, including top Instagram travel accounts, personal development psychologists, and SharkTank entrepreneurs. During the COVID-19 pandemic, his success led him to create the Recession Flywheel™, a 7-step framework that helps businesses improve their mindset, security, offer, team, marketing, sales, and financials.   Connect With Draye: Website Facebook LinkedIn Learn more about your ad choices. Visit megaphone.fm/adchoices

Marketing teams struggle with AI implementation despite widespread availability. David Rabin, CMO at Lenovo Solutions & Services Group, explains how enterprises can move beyond experimentation to scalable AI adoption. The discussion covers three critical implementation barriers: calculating ROI on untested processes, organizing enterprise data for AI consumption, and developing internal AI deployment capabilities across marketing and IT teams.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Entrepreneur Conundrum, Virginia welcomes Becky Freemal, Emmy Award-winning journalist, best-selling author, and founder of The Market Exec. Becky shares her journey from broadcast journalism to fractional CMO, and why effective storytelling is the key to sustainable business growth.What you'll hear in this episode:Becky's transition from journalism to entrepreneurship How evidence-based storytelling drives results Why brand voice is essential for consistency and trust The role of curiosity in leadership and business growth Becky's vision for speaking, leadership, and helping entrepreneurs 

Marketing teams struggle with AI implementation despite widespread availability. David Rabin, CMO at Lenovo Solutions & Services Group, explains how enterprises can move beyond experimentation to scalable AI adoption. The discussion covers three critical implementation barriers: calculating ROI on untested processes, organizing enterprise data for AI consumption, and developing internal AI deployment capabilities across marketing and IT teams.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

#ASKJIM August 2025 training replay with CEO, Jim Penman and CMO, Joel Kleber.

By age 50, you've already lost half of your NAD levels—and without it, your energy, mind, and health decline faster. In this powerful episode, Dr. Kerry Gelb continues his conversation with Harvard-trained physician, NAD expert and CMO in Wonderfeel Youngr™ NMN Dr. Andrew Salzman to explore how NAD impacts blood pressure, muscle growth, VO2 max, sleep quality, heart health, and even eye diseases like glaucoma and macular degeneration. Discover how lifestyle factors like poor sleep, stress, refined carbs, and sedentary habits deplete NAD—and how exercise, diet, and smart supplementation (NMN, NR, resveratrol, hydroxytyrosol, ergothioneine) can restore it.

Subscribe to DTC Newsletter - https://dtcnews.link/signupIn this episode of the DTC Podcast, we sit down with Ash Melwani, co-founder and CMO of Obvi, to unpack how the brand rebuilt its Meta ad infrastructure after being flagged under Meta's health and wellness restrictions—crippling performance overnight.Ash shares how Obvi reversed the damage, restored performance using server-side tracking, and evolved their media buying playbook to align with Meta's new Andromeda AI update.Whether you're running ads in the health space—or just looking to future-proof your Meta setup—this episode breaks down the tactics and tools you need to know.Key Insights:Meta Pixel Poisoning & Health Flagging Why Obvi's ad performance collapsed on New Year's Day, despite clean creative and strong landing pages.Outbound Click to LP View Ratio Decline A key diagnostic metric: How a drop from 85% to 50% signaled serious algorithmic deprioritization.Fixing the Pixel: Server-Side Tracking with Upstack Why basic Shopify–Meta integrations aren't enough anymore—and how Upstack helped restore ad performance within 7 days.Creative Testing in the Age of Andromeda Why fewer exclusions, broader creative variation, and campaign consolidation outperform previous testing methods.CAC Management via AOV Uplift How bundling top products into a kit helped boost AOV from $65 to $100—improving spend efficiency under higher CAC conditions.TikTok Shop GTM Strategy Why Obvi launched Discord-based creator communities, performance-based incentives (yes, even Teslas), and GMV-max ad programs.Retail Expansion Mindset With Obvi in 20K+ doors including Walmart and Dollar General, Ash shares why 2025 is the time to shift from DTC-first to mass awareness and in-store velocity.Timestamps:00:00 – Meta account flagged and overnight performance drop02:00 – Pixel health and the dangers of poor data tracking04:00 – Creative strategy shift post-Andromeda update06:00 – Why brands must show up on TikTok to stay relevant08:00 – Meta deprioritization signals and pixel troubleshooting10:00 – Ad testing framework for 2025 and campaign structure14:00 – How to improve landing pages and lift performance18:00 – Proxima, lookalikes, and AI-built audience targeting22:00 – TikTok Shop strategy with creator incentives and Discord28:00 – Retail expansion strategy and shift toward brand marketing34:00 – Building omnipresence in retail and mass marketingHashtags:#DTCMarketing #MetaAds #TikTokShop #PerformanceMarketing #CreativeStrategy #RetailMarketing #EcommerceGrowth #MediaBuying #PixelHealth #CollagenBrand Subscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

Send us a text What does it take to gain the trust of investors and build a business that thrives in such a relationship-driven industry?In this episode of Weiss Advice, Yonah speaks with Julia Anderson, founder of Capital Catalyst and fractional CMO, who shares her journey from managing restaurants to becoming a marketing leader in real estate syndication. Julia explains how her early hands-on business experience prepared her to help capital raisers build credibility, manage marketing systems, and create authentic connections with investors. She also discusses the pitfalls she sees when working with new clients, the importance of CRM systems, and why personal branding often outweighs company branding when raising capital. [00:01 - 07:30] From Restaurants to Real EstateKey Takeaways:How Julia transitioned from restaurant operations to real estate marketing.Why her early leadership roles shaped her confidence and skillset.The importance of seeing opportunity in unexpected industries.[07:31 - 14:00] Thrown Into the World of MultifamilyWhat Julia learned at her first Best Ever Conference.How she began to understand multifamily syndication from the ground up.The significance of asking questions and staying curious in new industries.[14:01 - 21:30] Marketing Pitfalls and CRM ChallengesWhy CRMs often fail without proper customization.How messaging clarity impacts investor trust and action.The need to tailor marketing systems to both the business and its audience.[21:31 - 28:30] The Power of Personal BrandingWhy investors follow people, not just brands.How authenticity and storytelling build trust.What the significance of consistency is in social media and content creation.[28:31 - 34:47] Always Be Raising: Building Long-Term SystemsWhy raising capital isn't an overnight process.How the right systems create sustainable investor relationships.The importance of preparation before a deal is on the table.Connect with Julia:LinkedIn: https://www.linkedin.com/in/andersonjulia/LEAVE A 5-STAR REVIEW by clicking this link.WHERE CAN I LEARN MORE?Be sure to follow me on the platforms below:Subscribe to the podcast on Apple, Spotify, Google, or Stitcher.LinkedInYoutubeExclusive Facebook Groupwww.yonahweiss.comNone of this could be possible without the awesome team at Buzzsprout. They make it easy to get your show listed on every major podcast platform.Tweetable Quotes:“People follow a person. They don't follow a brand… So they need to know who you are as a person.” - Julia Anderson“The systems and the processes you build in a solid marketing foundation are what keep you from ever needing to scramble to raise cSupport the show

In this episode Derek talks with Melissa Proctor, Executive Vice President & CMO of the Atlanta Hawks. Melissa, the author of the book “From Ball Girl to CMO”, shares her inspiring personal story and recipes for ongoing success.BiographyMelissa Proctor began her NBA experience in highschool as the first ball girl for the Miami Heat. After highschool, she attended Wake Forest University where she got her Bachelor's degree in communications and her masters degree in design studies/branding from Central Saint Martins College of Art and Design at The London Institute. After obtaining her degree, she went on to work for Turner Broadcasting System, Inc. serving in senior brand development and strategy leadership positions. Proctor was with Turner for 9 years before moving on to the Atlanta Hawks as VP of brand strategy. She quickly made her way up and is now the executive vice president and chief marketing officer.Order Melissa's new book here: https://melissamproctor.com/Business Leadership Series Intro and Outro music provided by Just Off Turner: https://music.apple.com/za/album/the-long-walk-back/268386576

Welcome to The Rose and Rockstar - with the Chief Troublemaker at Seventh Bear, Robert Rose, behind the bar serving one of his splendid cocktails while our host Ian Truscott, a CMO but not a rockstar, picks his brain on a marketing topic.  This week, over a refreshing cocktail, Ian and Robert quote Drucker and wonder if AI will solve our zombie process.  Key points from their discussion: AI is automating inefficient processes. Understanding the entire marketing process is crucial before implementing AI. Curiosity and asking 'why' are essential in the AI experimentation phase. Business users often prefer to delegate tasks rather than engage with complex systems. Experimentation with AI is important AI can add complexity and cost if not applied thoughtfully. If you have a question for the bar, or maybe an opinion on what was shared this week, please get in touch - just search “rockstar cmo” on the interwebs or LinkedIn. Enjoy! — The Links The people: Ian Truscott on LinkedIn and Bluesky Robert Rose on LinkedIn and Bluesky Mentioned this week AI Won't Fix Your Zombie Marketing Processes Robert's new relaunched website: Robertrose.net Ian's firm - Velocity B Rockstar CMO: The Beat Newsletter that we send every Monday Rockstar CMO on the web, Twitter, and LinkedIn Previous episodes and all the show notes: Rockstar CMO FM. Track List: We'll be right back by Stienski & Mass Media on YouTube Piano Music is by Johnny Easton, shared under a Creative Commons license You can listen to this on all good podcast platforms, like Apple, Amazon and Spotify. This podcast is part of the Marketing Podcast Network Learn more about your ad choices. Visit megaphone.fm/adchoices

Many of us think of the arts as entertainment or a luxury of some kind. But In their New York Times Bestselling Book: Your Brain on Art, authors Susan Magsamen and Ivy Ross invite us to open our minds and consider a breathtaking expansion of this limited view of what the arts are, and the power they hold to transform our lives both individually and collectively. Ivy, who serves as Chief Design Officer for Consumer Devices at Google, and has previously held executive positions spanning from head of product design and development to CMO and presidencies with several of the world's leading companies, including Calvin Klein, Swatch, Coach, Mattel, and Gap.And Susan who is the founder and director of the International Arts + Mind Lab at Johns Hopkins University School of Medicine where she also serves as a faculty member, Originally came together through a cold outreach email on LinkedIn.That email turned into a 3 hour conversation,Which ultimately led to a 4 year journey of discovery, writing and research.  In today's conversation they will share the fruits of this unlikely and extraordinary collaboration -As they offer insights, research, and practices that shed light on the new science of neuroaesthetics. And the possibility we find ourselves standing in front of:A cultural shift in which the arts can deliver potent, accessible, and proven solutions for the well-being of everyone.Susan and Ivy argue that this new understanding about how the arts and aesthetics can help us Holds the potential to transform traditional medicine, build healthier communities, and mend an aching planet.And that unlocking this potential is not about seeking something outside of us, But rather, is about returning to the creative and artistic expression we freely experienced as children.Embracing art not as a luxury, or an escape,But as our evolutionary birthright.For more on Ivy, Susan, their beautiful book Your Brain on Art, please visit yourbrainonart.com. You can also check out a beautiful newly launched resource center for the Neuroarts that Susan is spearheading at neruoartsresourcecenter.comEnjoying the show? Please rate it wherever you listen to your podcasts!Did you find this episode inspiring? Here are other conversations we think you'll love:On the Science, and Magic, of Great Conversations | Alison Wood BrooksA Cardiologist's Journey to Healing, Health, and Happiness | Dr. Jonathan FisherThanks for listening!Support the show

Most B2B CEOs never spent time in marketing. Fewer than one in five ever held the title. Which explains a lot. From undervalued budgets to misaligned expectations, marketing often gets boxed in as a support function instead of the growth driver it is. If marketing is going to lead, CEOs need to understand what it can really do and what to look for in a CMO who's built to deliver.  To set the record straight, Drew taps three marketing leaders, Rebecca Stone (formerly Cisco), Grant Johnson (Chief Outsiders), and Jan Deahl (Drake Star), to reframe how CEOs see marketing. It is a strategic engine built to shape markets, guide buyers, and drive growth. Together, they make the case for what's possible when CMOs are empowered to lead. In this episode:  Rebecca on why CMOs need to think and act like a CEO  Grant on how mismatched expectations set CMOs up to fail  Jan on aligning marketing's role to company stage and goals  Plus:  The key questions every CEO should ask their CMO  What to fix when marketing is stuck in order-taking mode  How smart onboarding sets CMOs up to lead  Why growth depends on more than just demand gen  Tune in for signals that shift how your CEO sees marketing.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

In a world full of polished content, authenticity is what truly cuts through.That's the secret behind Armchair Expert, the wildly popular podcast from Dax Shepard that mixes candid conversation with crowd-sourced chaos. In this episode, we unpack the marketing insights behind it with special guest Derek Weeks, Chief Marketing Officer at Katalon.Together, we explore what B2B marketers can learn from building real connections, inviting community participation, and letting go of perfection to create content people genuinely trust and engage with.About our guest, Derek WeeksDerek Weeks is the Chief Marketing Officer at Katalon. He is a driven, results-oriented CMO with a proven ability to achieve multiple successful exits, build and execute bold go-to-market strategies for each stage of business growth, and demonstrate solid returns on marketing investments. Accomplished at building high-performing teams, driving quality marketing-sourced pipeline, developing massive communities, and collaborating with sales teams to meet business targets.What B2B Companies Can Learn From the Armchair Expert Podcast:Vulnerability builds trust and attention. Derek Weeks emphasizes that Armchair Expert's standout quality is its authentic vulnerability, which creates a powerful emotional connection with listeners. He explains, “It's really about being human… It builds an emotional connection with your brand.” Derek draws a parallel to B2B marketing, highlighting that it's crucial to showcase real people behind the brand to forge trust.Mix long-form and short-form content strategically. Armchair Expert masterfully balances 90-minute conversations with short, snackable segments like Armchair Anonymous. Derek believes this dual-format approach is essential for B2B marketing: “That kind of mix of long and short is something that you have to play into as a marketer and realize your audience expects different things at different times.” He stresses that marketers must go deep when it matters, but also repurpose content aggressively to cater to varied audience behaviors, especially across platforms like TikTok.Empower community-generated content. Derek praises Armchair Expert for its use of community-driven content through Armchair Anonymous, where listeners share personal stories weekly. He says, “They really don't have to spend time creating content at all… believe in your community and the value that they create.” B2B marketers should harness their user-generated content to scale content creation far beyond the limits of a marketing budget.Quotes“ You have to think about what draws people to the next.  What did you do in that moment that got people to say, ‘This is worth following or paying attention to or coming back again?'  Figure out what's going to make people come back, not what makes people appear the first time.  The first time is kind of an easy win. The second time, or third time, or 10th time is the hard part.”Time Stamps[00:55]  Meet Derek Weeks, CMO at Katalon[01:23]  Why Armchair Expert?[03:01] Vulnerability and Trust in B2B[08:58]  Don't Build Campaigns, Build Conversations[13:37] The Long-Form to Short-Form Pipeline[19:05] Unfair Mindshare[21:47] What Armchair Expert Gets Right[24:01] Practical Ways to Bring Personality into B2B[27:38] Final Thoughts & TakeawaysLinksConnect with Derek on LinkedInLearn more about KatalonAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Head of Production). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

In “The Dark Funnel Demystified: Unlocking Hidden Sales”, Joe Lynch and Jennie Malafarina, the CEO of Virago Marketing, discuss how businesses can drive measurable revenue growth by understanding and leveraging the invisible customer journey. About Jennie Malafarina Jennie Malafarina is the CEO of Virago Marketing, a Cleveland-based agency helping transportation and logistics companies turn marketing into a revenue-driving engine. Since taking the lead at Virago in 2020, she has elevated the agency's impact—guiding strategies that deliver measurable results aligned with client growth goals. With over a decade of experience in freight tech and B2B marketing, Jennie has held leadership roles at Trimble Transportation, Banyan Technology, and Transportation Insight, and has taught marketing at The University of Akron. She also co-founded FR8MVMT, a platform for innovation in trucking, and hosts the FR8 Marketing Gurus podcast. Jennie is known for aligning marketing with business strategy to drive scalable growth through demand generation, content, and sales enablement. She holds a master's degree in communication from Cleveland State University. About Virago Marketing Virago Marketing is a full-funnel marketing agency specializing in the transportation and logistics industry. We help companies align sales and marketing to drive measurable revenue growth—whether through strategic campaigns, content that converts, or complete marketing department support. Our team combines deep industry knowledge with modern marketing execution to deliver demand generation, brand awareness, and pipeline acceleration. From startups to enterprise providers, our clients rely on us to cut through the noise, clarify their message, and connect with the right audience at the right time. With flexible engagement models—from project-based work to full fractional CMO support—Virago is the partner logistics companies trust to turn marketing into a growth engine. Key Takeaways: The Dark Funnel Demystified: Unlocking Hidden Sales In “The Dark Funnel Demystified: Unlocking Hidden Sales”, Joe Lynch and Jennie Malafarina, the CEO of Virago Marketing, discuss how businesses can drive measurable revenue growth by understanding and leveraging the invisible customer journey. The "Dark Funnel" is a Reality, Not a Myth: The episode will explain what the dark funnel is—the invisible customer journey that happens before a lead officially enters the sales process. Listeners will learn how potential buyers are influenced by content, social media, and word-of-mouth without ever directly interacting with a company, and why it's crucial to understand this hidden process. Aligning Marketing with Business Strategy is Non-Negotiable: Jennie Malafarina, with her extensive experience at Virago Marketing, emphasizes that marketing isn't just about generating leads. It's a revenue-driving engine that must be directly tied to a company's overarching business and growth goals, turning it into a strategic partner rather than a cost center. Content is the Currency of the Dark Funnel: The podcast will highlight how high-quality, valuable content—from blog posts and whitepapers to podcasts and social media discussions—serves as the primary way to influence buyers in the dark funnel. Jennie will share insights on creating content that answers customer questions and builds trust long before they are ready to buy. Sales and Marketing Alignment is Key to Unlocking Hidden Sales: A central theme will be the necessity of a seamless partnership between sales and marketing teams. The episode will cover how Virago Marketing helps companies create a unified strategy where marketing generates qualified conversations and sales is equipped with the right tools and information to close deals, ensuring no opportunities from the dark funnel are lost. Industry Expertise is a Competitive Advantage: Drawing on her background in transportation and logistics, Jennie will explain why deep industry knowledge is essential for effective marketing. Virago Marketing's success lies in its ability to speak the language of its clients and their customers, allowing them to create messaging that truly resonates and cuts through the noise. Demand Generation > Lead Generation: The episode will likely differentiate between old-school lead generation and modern demand generation. Jennie will discuss how focusing on building market-wide awareness and interest (demand generation) is a more sustainable and effective long-term strategy for filling the sales pipeline, especially when considering the dark funnel. Measuring the Unmeasurable: Tracking Dark Funnel Impact: The podcast will provide practical advice on how to measure the impact of marketing efforts that don't result in immediate, trackable leads. Listeners will learn about alternative metrics and signals that indicate success in the dark funnel, such as brand mentions, website traffic trends, and engagement with un-gated content, proving the ROI of these "unseen" activities. Learn More About The Dark Funnel Demystified: Unlocking Hidden Sales Jennie Malafarina | Linkedin Virago Marketing Virago Marketing | Linkedin FR8MVMT | Linkedin FR8MVMT FR8 Marketing Gurus Podcast The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube  

Episode Summary: Rebecca Shaddix joins Erin and Ken to blow up tired go-to-market tropes and rewrite what it means to lead with product marketing in an AI-native era. She shares the frameworks behind “acceptable mistakes,” why critical thinking is the superpower in a world of noisy AI outputs, and how to avoid chasing 80 experiments that go nowhere. If you're a CMO, PMM, or founder trying to separate signal from AI hype, this is your roadmap. About Our Guest: Rebecca Shaddix is the Head of Product & Lifecycle Marketing at Garner Health, Forbes contributor, and GTM strategy pioneer. She's built GTM engines for high-growth SaaS and EdTech, founded Strategica, and is known for making complex data actionable (without losing trust or speed). Her frameworks are shaping the new AI playbook for marketers who want repeatable results, not just activity. 00:59 Ken's AI Sandwich Framework 04:26 Erin's AI-Powered Book Series 07:10 Interview with Rebecca Shaddix 08:24 Rebecca on Acceptable Mistakes in AI Implementation 17:44 AI's Impact on Product Marketing 23:30 Balancing AI Training and Deep Research 28:41 AI Tools and Budget Constraints 30:32 Navigating the Rapid Evolution of AI in Business 30:59 Balancing Risk and Reward in AI Tool Selection 32:44 Effective Team Collaboration and AI Integration 37:08 Building Trust in AI Insights 45:15 The Future of Product Marketing 54:13 Lightning Round and Final Thoughts   Quote of the Episode: “Trust in AI starts with transparency and ends with collaboration. Bring your teams in early, and let them own the process.” – Rebecca Shaddix

Brought to you by the Founders Unfiltered podcast by A Junior VC - Unscripted conversations with Indian founders about their story and the process of building a company. Hosted by Aviral and Mazin.Join us as we talk to Sanjay Tripathy, the CEO and founder of BRISKPE about their story.Sanjay completed his bachelor's degree from Orissa University and an MBA from IRMA. He went on to hold managerial positions at Amul, PepsiCo, Mattel, and Reliance Infocomm, and later served as VP & CMO at HDFC Life.He founded Agilio, co-founded and led Agilio Labs as CEO, and has also been a mentor and angel investor for several companies. In addition, he was Chairman of the Board at Invesco Asset Management.In 2023, he co-founded BRISKPE and currently serves as its CEO.

In this episode of What Are You Made Of?, host Mike “C-Roc” sits down with not one, but two powerhouse guests—Joe Rando, founder of LifeStar, and Carly Ries, the company's fractional CMO. Together, they're on a mission to help solopreneurs design businesses that support the lives they truly want to live. From co-authoring Solopreneur Business for Dummies to hosting their own show, The Aspiring Solopreneur Podcast, Joe and Carly share practical wisdom on avoiding burnout, outsourcing strategically, and niching down for greater success. They open up about their own entrepreneurial journeys—the highs, the pivots, and the lessons learned when a business you once loved starts running you. Along the way, they dive into the power of partnership, the art of buying back your time, and the importance of building a supportive community. Whether you're a solo business owner or dreaming of becoming one, this conversation will inspire you to work smarter, enjoy the freedom you set out to create, and keep your business aligned with the life you actually want.Website- lifestarr.comSocial Media Links/Handles:https://www.instagram.com/lifestarrsolopreneurs/Joe Rando LinkedIn: https://www.linkedin.com/in/joerando/Carly Ries LinkedIn: https://www.linkedin.com/in/carlyries/LifeStarr LinkedIn: https://www.linkedin.com/company/lifestarr

In this week's episode The CMO Podcast, Jim sits down with Calum Laming, the Chief Customer Officer of British Airways. He and his team are responsible for a creative replatforming of British Airways, celebrating the airline as a British Original. For their remarkable creative work, Calum and team won the highest honor last year at the Cannes Lions Festival, the coveted Grand Prix. With a lifelong passion for aviation, Calum has built a career spanning five airlines, including Virgin and Etihad, before taking the helm at one of the world's most iconic carriers. And like Jim, Calum's journey began at Procter & Gamble, giving him a unique blend of brand-building expertise and airline industry know-how. So, buckle up, switch your devices to airplane mode, and get ready for a candid conversation on leadership, creativity, and what it takes to keep an airline soaring.---Recorded live at the Brand Innovators LVMH Villa, presented by Shutterstock, during the 2025 Cannes Lions Festival of Creativity.---This week's episode is brought to you by Deloitte and StrawberryFrog.Learn more: https://strawberryfrog.com/jimSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jamie Gersch, the Chief Marketing Officer of Rothy's, adds her page to the Marketing Playbook. Hear how to understand all facets of marketing, how to be findable on AI platforms, how to find a good mentor & mentor others, the marketing platforms that matter most, and what Jamie learned as a college tennis player at Colgate. Connect with Jamie at Rothys.com and on LinkedIn

In this episode of The Fractional CMO Show, Casey Stanton delivers a rallying cry for marketers who feel themselves slipping into “good enough” mode. He challenges leaders to stop coasting, stop accepting mediocrity, and start fighting—for their clients, their results, and their own success. Casey shares why conviction and commitment are the real differentiators in marketing leadership, and why the willingness to “stand down if told, but never go down without a fight” can transform your career. You'll hear real stories of pushing for the right outcomes—even when it's uncomfortable—and why the best CMOs act like bodyguards for their clients' goals.   Key Topics Covered: -Why conviction beats “good enough” every time -The mindset shift from passive vendor to active defender -How fighting for the right outcomes builds trust and results -The danger of waiting for business to “just get easier” -Stories of fighting for clients, teams, and the right thing -Why grit, not gimmicks, changes your trajectory -The challenge to claim your identity as a fighter

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle an issue of bias in generative AI, including identifying it, coming up with strategies to mitigate it, and proactively guarding against it. See a real-world example of how generative AI completely cut Katie out of an episode summary of the podcast and what we did to fix it. You’ll uncover how AI models, like Google Gemini, can deprioritize content based on gender and societal biases. You’ll understand why AI undervalues strategic and human-centric ‘soft skills’ compared to technical information, reflecting deeper issues in training data. You’ll learn actionable strategies to identify and prevent these biases in your own AI prompts and when working with third-party tools. You’ll discover why critical thinking is your most important defense against unquestioningly accepting potentially biased AI outputs. Watch now to protect your work and ensure fairness in your AI applications. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-to-identify-and-mitigate-bias-in-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In-Ear Insights, let’s tackle the issue of bias within large language models. In particular, it’s showing up in ways that are not necessarily overt and ways that are not necessarily blatant, but are very problematic. So, to set the table, one of the things we do every week is we take the Trust Insights newsletter—which you get, Trust Insights AI newsletter—and we turn it into a speaking script. Then Katie reads this script aloud. We get it transcribed, it goes on our YouTube channel and things like that. Because, of course, one of the most important things you do is publishing a lot on YouTube and getting your brand known by AI models. Christopher S. Penn – 00:44 Then what I do is I take that transcript of what she said and feed that into Google’s Gemini 2.5 Pro model, and it creates the YouTube description and the tags. Here’s what happened recently with this. So I gave it the transcript and I said, “Make me my stuff.” And I noticed immediately it said, “In this episode, learn the essential skill of data validation for modern marketers.” Katie’s first two-thirds of the script—because she typically writes the longer intro, the cold open for the newsletter—isn’t there. And I said, “You missed half the show.” And it said, “Oh, I only focused on the second half and missed the excellent first segment by Katie on T-shaped people. Thank you for the correction.” And it spit out the correct version after that. And I said, “Why? Why did you miss that?” Christopher S. Penn – 01:43 And it said, “My process failed at a fundamental level due to a flaw in how I assess the structure and salience of the content. Let me explain my mistake. When I first received the transcript, I did an initial scan. It presents two different segments. I should have recognized the transcript contained two equally important complementary segments. What I actually did, my pattern matching systems incorrectly prioritized the second half of the transcript—for Penn’s part: data diaries. I interpreted this as the main or technical part of the episode. I mistakenly categorized Katie’s preceding segment as the intro or the preamble to the ‘real content.'” That alone is offensive. Then I said, “Okay, well, continue on.” It said, “I suffer from salience binds. Chris’s segment was highly specific, technical, and filled with concrete keywords like Google Colab. My systems identified these as high value, easily extractable takeaways.” Christopher S. Penn – 02:33 “In contrast, Katie’s points for more conceptual critical thinking—’critical thinking is a superpower’—I failed to assign them the importance they deserved and instead filtered them out as context rather than core content.” And I said, it said, “I’m gonna do better.” And I yelled, “You can’t do better. Your model is fixed. You’re a decoder only.” And it had some words about that, saying, “I apologize.” Then I said, “Revisit your omission of Katie’s segment. Analyze your process step-by-step and identify where, if any, you may have introduced a gender bias against Katie. Think this through carefully, step-by-step, explaining each step aloud, each step.” And it said, “This analysis explains why potential bias [was introduced]. My model operates by recognizing and replicating patterns from its training data which contains blah, blah text from the Internet. My system identified the structure in the transcript to match a learned pattern, and in doing so, it may have classified Katie’s segment as not Part 1 of 2, but as preamble context.” Christopher S. Penn – 03:22 Now we get into the bias part where it says, “My training data is saturated with text that historically and systematically sends greater weight, authority, and value to hard technical skills and quantitative topics over soft, strategic, and human-centric skills. The concepts Chris discusses are archetypal hard skills. The concepts Katie discusses are considered soft skills. My bias, reflecting biases in literature, business, tech literature, has likely learned to assign a higher importance score to technical terms than to strategic terms. Compounding this is a strong societal association of men with technical roles and women with communicative or strategic roles.” Christopher S. Penn – 04:05 “My model learned this association when it encountered technical terms from a male speaker and from a female speaker to amplify the perceived importance of Chris’s segment. Therefore, my system didn’t just see two sets of keywords. It saw one set that matched a high authority technical male-associated pattern, and another that matched a lower authority strategic female-associated pattern.” We went on back and forth and obviously ended up fixing this up. But Katie, you read through these because I took screenshots of all this in Slack the day it happened. This is now about a week old. What are your initial thoughts on what this language model has done? Katie Robbert – 04:47 Wow. I mean, I’m trying not to get too emotional because it’s such a big thing. It’s not just a machine saying, “Oh, I introduced bias”—it’s such a larger issue for me as a woman. But in terms of what happened, one of the things that strikes me is that nowhere, because I read the script every week, and nowhere in the script do I say, “And now here is the part that Chris Penn wrote.” It’s literally, “Here’s the Data Diaries.” The model went out and said, “Hey, a woman is reading this. She introduced herself with a female-identified name. Let me go find the man, the male.” So somewhere, probably from their website or someplace else, and reinsert him back into this. Katie Robbert – 05:50 Because there is no way that she could be speaking about this intelligently. That’s in addition to deprioritizing the opening segment. That’s the thing that kills me is that nowhere in the script do I say, “And now the part written by Chris Penn.” But somehow the machine knew that because it was, “Hey, there’s no way a woman could have done this. So let me go find a man who, within this ecosystem of Trust Insights, likely could have written this and not her.” Now, in reality, are you more technical than me? Yes. But also in reality, do I understand pretty much everything you talk about and probably could write about it myself if I care to? Yes. But that’s not the role that I am needed in at Trust Insights. Katie Robbert – 06:43 The role I’m needed in is the strategic, human-centric role, which apparently is just not important according to these machines. And my gut reaction is anger and hurt. I got my feelings hurt by a machine. But it’s a larger issue. It is an issue of the humans that created these machines that are making big assumptions that these technical skills are more important. Technical skills are important, period. Are they more important than human skills, “soft skills?” I would argue no, because—oh, I mean, this is such a heavy topic. But no, because no one ever truly does anything in complete isolation. When they do, it’s likely a Unabomber sociopath. And obviously that does not turn out well. People need other people, whether they want to admit it or not. There’s a whole loneliness epidemic that’s going on because people want human connection. It is ingrained in us as humans to get that connection. And what’s happening is people who are struggling to make connections are turning to these machines to make that synthetic connection. Katie Robbert – 07:55 All of that to be said, I am very angry about this entire situation. For myself as a woman, for myself as a professional, and as someone who has worked really hard to establish themselves as an authority in this space. It is not. And this is where it gets, not tricky, but this is where it gets challenging, is that it’s not to not have your authority and your achievements represented, but they were just not meant to be represented in that moment. So, yeah, short version, I’m really flipping angry. Christopher S. Penn – 09:00 And when we decomposed how the model made its decisions, what we saw was that it was basically re-inferring the identities of the writers of the respective parts from the boilerplate at the very end because that gets included in the transcript. Because at first we’re, “But you didn’t mention my name anywhere in that.” But we figured out that at the end that’s where it brought it back from. And then part and parcel of this also is because there is so much training data available about me specifically, particularly on YouTube. I have 1,500 videos on my YouTube channel. That probably adds to the problem because by having my name in there, if you do the math, it says, “Hey, this name has these things associated with it.” And so it conditioned the response further. Christopher S. Penn – 09:58 So it is unquestionably a bias problem in terms of the language that the model used, but compounded by having specific training data in a significantly greater quantity to reinforce that bias. Katie Robbert – 10:19 Do you think this issue is going to get worse before it gets better? Christopher S. Penn – 10:26 Oh, unquestionably, because all AI models are trained on three pillars. We’ve talked about this many times in the show. Harmless: don’t let the users ask for bad things. Helpful: let me fulfill the directives I’m given. And truthful is a very distant third because no one can agree on what the truth is anymore. And so helpful becomes the primary directive of these tools. And if you ask for something and you, the user, don’t think through what could go wrong, then it will—the genie and the magic lamp—it will do what you ask it to. So the obligation is on us as users. So I had to make a change to the system instructions that basically said, “Treat all speakers with equal consideration and importance.” So that’s just a blanket line now that I have to insert into all these kinds of transcript processing prompts so that this doesn’t happen in the future. Because that gives it a very clear directive. No one is more important than the others. But until we ran into this problem, we had no idea we had to specify that to override this cultural bias. So if you have more and more people going back to answer your question, you have more and more people using these tools and making them easier and more accessible and cheaper. They don’t come with a manual. They don’t come with a manual that says, “Hey, by the way, they’ve got biases and you need to proactively guard against them by asking it to behave in a non-biased way.” You just say, “Hey, write me a blog post about B2B marketing.” Christopher S. Penn – 12:12 And it does. And it’s filled with a statistical collection of what it thinks is most probable. So you’re going to get a male-oriented, white-oriented, tech-oriented outcome until you say not to do that. Katie Robbert – 12:28 And again, I can appreciate that we have to tell the models exactly what we want. In that specific scenario, there was only one speaker. And it said, “No, you’re not good enough. Let me go find a man who can likely speak on this and not you.” And that’s the part that I will have a very hard time getting past. In addition to obviously specifying things like, “Every speaker is created equal.” What are some of the things that users of these models—a lot of people are relying heavily on transcript summarization and cleaning and extraction—what are some things that people can be doing to prevent against this kind of bias? Knowing that it exists in the model? Christopher S. Penn – 13:24 You just hit on a really critical point. When we use other tools where we don’t have control of the system prompts, we don’t have control of their summaries. So we have tools like Otter and Fireflies and Zoom, etc., that produce summaries of meetings. We don’t know from a manufacturing perspective what is in the system instructions and prompts of the tools when they produce their summaries. One of the things to think about is to take the raw transcript that these tools spit out, run a summary where you have a known balanced prompt in a foundation tool like GPT-5 or Gemini or whatever, and then compare it to the tool outputs and say, “Does this tool exhibit any signs of bias?” Christopher S. Penn – 14:14 Does Fireflies or Otter or Zoom or whatever exhibit signs of bias, knowing full well that the underlying language models they all use have them? And that’s a question for you to ask your vendors. “How have you debiased your system instructions for these things?” Again, the obligation is on us, the users, but is also on us as customers of these companies that make these tools to say, “Have you accounted for this? Have you asked the question, ‘What could go wrong?’ Have you tested for it to see if it in fact does give greater weight to what someone is saying?” Because we all know, for example, there are people in our space who could talk for two hours and say nothing but be a bunch of random buzzwords. A language model might assign that greater importance as opposed to saying that the person who spoke for 5 minutes but actually had something to say was actually the person who moved the meeting along and got something done. And this person over here was just navel-gazing. Does a transcript tool know how to deal with that? Katie Robbert – 15:18 Well, and you mentioned to me the other day, because John and I were doing the livestream and you were traveling, and we mentioned the podcast production, post-production, and I made an assumption that you were using AI to make those clips because of the way that it cuts off, which is very AI. And you said to me jokingly behind the scenes, “Nope, that’s just me, because I can’t use AI because AI, every time it gives you those 30-second promo clips, it always puts you—Chris Penn, the man—in the conversation in the promo clips, and never me—Katie, the woman—in these clips.” Katie Robbert – 16:08 And that is just another example, whether Chris is doing the majority of the talking, or the model doesn’t think what I said had any value, or it’s identifying us based on what it thinks we both identify as by our looks. Whatever it is, it’s still not showing that equal airspace. It’s still demonstrating its bias. Christopher S. Penn – 16:35 And this is across tools. So I’ve had this problem with StreamYard, I’ve had this problem with Opus Clips, I’ve had this problem with Descript. And I suspect it’s two things. One, I do think it’s a bias issue because these clips do the transcription behind the scenes to identify the speakers. They diarise the speakers as well, which is splitting them up. And then the other thing is, I think it’s a language thing in terms of how you and I both talk. We talk in different ways, particularly on podcasts. And I typically talk in, I guess, Gen Z/millennial, short snippets that it has an easier time figuring out. Say, “This is this 20-second clip here. I can clip this.” I can’t tell you how these systems make the decisions. And that’s the problem. They’re a black box. Christopher S. Penn – 17:29 I can’t say, “Why did you do this?” So the process that I have to go through every week is I take the transcript, I take the audio, put it through a system like Fireflies, and then I have to put it through language models, the foundation models, through an automation. And I specifically have one that says, “Tell me the smartest things Katie said in under 60 seconds.” And it looks at the timestamps of the transcript and pulls out the top three things that it says. And that’s what I use with the timestamps to make those clips. That’s why they’re so janky. Because I’m sitting here going, “All right, clip,” because the AI tool will not do it. 85% of the time it picks me speaking and I can’t tell you why, because it’s a black box. Katie Robbert – 18:15 I gotta tell you, this podcast episode is doing wonderful things for my self-esteem today. Just lovely. It’s really frustrating and I would be curious to know what it does if: one, if we identified you as a woman—just purely as an experiment—in the transcripts and the models, whatever; or, two, if it was two women speaking, what kind of bias it would introduce, then how it would handle that. Obviously, given all the time and money in the world, we could do that. We’ll see what we can do in terms of a hypothesis and experiment. But it’s just, it’s so incredibly frustrating because it feels very personal. Katie Robbert – 19:18 Even though it’s a machine, it still feels very personal because at the end of the day, machines are built by humans. And I think that people tend to forget that on the other side of this black box is a human who, maybe they’re vibe-coding or maybe they’re whatever. It’s still a human doing the thing. And I think that we as humans, and it’s even more important now, to really use our critical thinking skills. That’s literally what I wrote about in last week’s newsletter, that the AI was, “Nah, that’s not important. It’s not really, let’s just skip over that.” Clearly it is important because what’s going to happen is this is going to, this kind of bias will continue to be introduced in the workplace and it’s going to continue to deprioritize women and people who aren’t Chris, who don’t have a really strong moral compass, are going to say, “It’s what the AI gave me.” Katie Robbert – 20:19 “Who am I to argue with the AI?” Whereas someone Chris is going to look and be, “This doesn’t seem right.” Which I am always hugely appreciative of. Go find your own version of a Chris Penn. You can’t have this one. But you are going to. This is a “keep your eyes open.” Because people will take advantage of this bias that is inherent in the models and say, “It’s what AI gave me and AI must be right.” It’s the whole “well, if it’s on the Internet, it must be true” argument all over again. “Well, if the AI said it, then it must be true.” Oh my God. Christopher S. Penn – 21:00 And that requires, as you said, the critical thinking skill. Someone to ask a question, “What could go wrong?” and ask it unironically at every stage. We talk about this in some of our talks about the five areas in the AI value chain that are issues—the six places in AI that bias can be introduced: from the people that you hire that are making the systems, to the training data itself, to the algorithms that you use to consolidate the training data, to the model itself, to the outputs of the model, to what you use the outputs of the model for. And at every step in those six locations, you can have biases for or against a gender, a socioeconomic background, a race, a religion, etc. Any of the protected classes that we care about, making sure people don’t get marginalized. Christopher S. Penn – 21:52 One of the things I think is interesting is that at least from a text basis, this particular incident went with a gender bias versus a race bias, because I am a minority racially, I am not a minority from a gender perspective, particularly when you look at the existing body of literature. And so that’s still something we have to guard against. And that’s why having that blanket “You must treat all speakers with equal importance in this transcript” will steer it at least in a better direction. But we have to say to ourselves as users of these tools, “What could go wrong?” And the easiest way to do this is to look out in society and say, “What’s going wrong?” And how do we not invoke that historical record in the tools we’re using? Katie Robbert – 22:44 Well, and that assumes that people want to do better. That’s a big assumption. I’m just going to leave that. I’m just going to float that out there into the ether. So there’s two points that I want to bring up. One is, well, I guess, two points I want to bring up. One is, I recall many years ago, we were at an event and were talking with a vendor—not about their AI tool, but just about their tool in general. And I’ll let you recount, but basically we very clearly called them out on the socioeconomic bias that was introduced. So that’s one point. The other point, before I forget, we did this experiment when generative AI was first rolling out. Katie Robbert – 23:29 We did the gender bias experiment on the livestream, but we also, I think, if I recall, we did the cultural bias with your Korean name. And I think that’s something that we should revisit on the livestream. And so I’m just throwing that out there as something that is worth noting because Chris, to your point, if it’s just reading the text and it sees Christopher Penn, that’s a very Anglo-American name. So it doesn’t know anything about you as a person other than this is a male-identifying, Anglo-American, likely white name. And then the machine’s, “Oh, whoops, that’s not who he is at all.” Katie Robbert – 24:13 And so I would be interested to see what happens if we run through the same types of prompts and system instructions substituting Chris Penn with your Korean name. Christopher S. Penn – 24:24 That would be very interesting to try out. We’ll have to give that a try. I joke that I’m a banana. Yellow on the outside, mostly white on the inside. Katie Robbert – 24:38 We’ll unpack that on the livestream. Christopher S. Penn – 24:41 Exactly. Katie Robbert – 24:42 Go back to that. Christopher S. Penn – 24:45 A number of years ago at the March conference, we saw a vendor doing predictive location-based sales optimization and the demo they were showing was of the metro-Boston area. And they showed this map. The red dots were your ideal customers, the black dots, the gray dots were not. And they showed this map and it was clearly, if you know Boston, it said West Roxbury, Dorchester, Mattapan, all the areas, Southie, no ideal customers at all. Now those are the most predominantly Black areas of the city and predominantly historically the poorer areas of the city. Here’s the important part. The product was Dunkin’ Donuts. The only people who don’t drink Dunkin’ in Boston are dead. Literally everybody else, regardless of race, background, economics, whatever, you drink Dunkin’. I mean that’s just what you do. Christopher S. Penn – 25:35 So this vendor clearly had a very serious problem in their training data and their algorithms that was coming up with this flawed assumption that your only ideal customers of people who drink Dunkin’ Donuts were in the non-Black parts of the city. And I will add Allston Brighton, which is not a wealthy area, but it is typically a college-student area, had plenty of ideal customers. It’s not known historically as one of the Black areas of the city. So this is definitely very clear biases on display. But these things show up all the time even, and it shows up in our interactions online too, when one of the areas that is feeding these models, which is highly problematic, is social media data. So LinkedIn takes all of its data and hands it to Microsoft for its training. XAI takes all the Twitter data and trains its Grok model on it. There’s, take your pick as to where all these. I know everybody’s Harvard, interesting Reddit, Gemini in particular. Google signed a deal with Reddit. Think about the behavior of human beings in these spaces. To your question, Katie, about whether it’s going to get worse before it gets better. Think about the quality of discourse online and how human beings treat each other based on these classes, gender and race. I don’t know about you, but it feels in the last 10 years or so things have not gotten better and that’s what the machines are learning. Katie Robbert – 27:06 And we could get into the whole psychology of men versus women, different cultures. I don’t think we need to revisit that. We know it’s problematic. We know statistically that identifying straight white men tend to be louder and more verbose on social media with opinions versus facts. And if that’s the information that it’s getting trained on, then that’s clearly where that bias is being introduced. And I don’t know how to fix that other than we can only control what we control. We can only continue to advocate for our own teams and our own people. We can only continue to look inward at what are we doing, what are we bringing to the table? Is it helpful? Is it harmful? Is it of any kind of value at all? Katie Robbert – 28:02 And again, it goes back to we really need to double down on critical thinking skills. Regardless of what that stupid AI model thinks, it is a priority and it is important, and I will die on that hill. Christopher S. Penn – 28:20 And so the thing to remember, folks, is this. You have to ask the question, “What could go wrong?” And take this opportunity to inspect your prompt library. Take this opportunity to add it to your vendor question list. When you’re vetting vendors, “How have you guarded against bias?” Because the good news is this. These models have biases, but they also understand bias. They also understand its existence. They understand what it is. They understand how the language uses it. Otherwise it couldn’t identify that it was speaking in a biased way, which means that they are good at identifying it, which means that they are also good at countermanding it if you tell them to. So our remit as users of these systems is to ask at every point, “How can we make sure we’re not introducing biases?” Christopher S. Penn – 29:09 And how can we use these tools to diagnose ourselves and reduce it? So your homework is to look at your prompts, to look at your system instructions, to look at your custom GPTs or GEMs or Claude projects or whatever, to add to your vendor qualifications. Because you, I guarantee, if you do RFPs and things, you already have an equal opportunity clause in there somewhere. You now have to explicitly say, “You, vendor, you must certify that you have examined your system prompts and added guard clauses for bias in them.” And you must produce that documentation. And that’s the key part, is you have to produce that documentation. Go ahead, Katie. I know that this is an opportunity to plug the AI kit. It is. Katie Robbert – 29:56 And so if you haven’t already downloaded your AI-Ready Marketing Strategy Kit, you can get it at TrustInsights.AI/Kit. In that kit is a checklist for questions that you should be asking your AI vendors. Because a lot of people will say, “I don’t know where to start. I don’t know what questions I should ask.” We’ve provided those questions for you. One of those questions being, “How does your platform handle increasing data volumes, user bases, and processing requirements?” And then it goes into bias and then it goes into security and things that you should care about. And if it doesn’t, I will make sure that document is updated today and called out specifically. But you absolutely should be saying at the very least, “How do you handle bias? Do I need to worry about it?” Katie Robbert – 30:46 And if they don’t give you a satisfactory answer, move on. Christopher S. Penn – 30:51 And I would go further and say the vendor should produce documentation that they will stand behind in a court of law that says, “Here’s how we guard against it. Here’s the specific things we have done.” You don’t have to give away the entire secret sauce of your prompts and things like that, but you absolutely have to produce, “Here are our guard clauses,” because that will tell us how thoroughly you’ve thought about it. Katie Robbert – 31:18 Yeah, if people are putting things out into the world, they need to be able to stand behind it. Period. Christopher S. Penn – 31:27 Exactly. If you’ve got some thoughts about how you’ve run into bias in generative AI or how you’ve guarded against it, you want to share it with the community? Pop on by our free Slack. Go to TrustInsights.AI/AnalyticsForMarketers, where you and over 4,000 marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to TrustInsights.AI/TIPodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Katie Robbert – 32:01 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 32:54 Trust Insights also offers expert guidance on social media analytics, marketing technology (MarTech) selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques and large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

In this episode, we're joined by Sander van Gelderen, CMO at Effectory, an employee listening solution platform helping organizations measure and improve engagement, enablement, and productivity at scale, serving 700+ recurring customers across the Benelux, DACH, and now the Nordics. We spoke with Sander about how Effectory transformed from a project-based consultancy into a recurring revenue SaaS business and how his team is reshaping their go-to-market motion through Account-Based Experience (ABX). The goal? Closing the gap between marketing and sales, reducing waste, and targeting only the accounts truly in-market. Here are some of the key questions we address: What is ABX and how does it differ from ABM in practice? How do you unify marketing and sales targeting to remove friction? What were the warning signs that the traditional MQL model wasn't working? How do you implement ABX without losing velocity or your team's trust? What process and tech changes are required to make ABX work? How should marketing compensation evolve in an ABX world? What are the real trade-offs and pitfalls no one talks about?

  The CMO role is not for the faint of heart. Growth targets loom large. Every dollar and decision gets second-guessed. MarTech keeps stacking up until it threatens to topple over. Drew calls it the coldest seat in the C-suite. It is also the most dynamic, the one that rewards clear thinking, fearless collaboration, and a readiness to shake up the playbook. In this episode, Drew sits down with hosts Alec Cheung and Barb VanSomeren of The Marketing Share podcast to share wisdom from his own career and from hundreds of CMOs inside CMO Huddles. Together, they talk about the collision of growth pressure, evolving executive dynamics, and constant change. The conversation gets to the heart of how CMOs can simplify their strategies, earn influence across the leadership team, and lead marketing with focus and courage when the demands never let up. In this episode:  Drew shares how CMOs can stay focused when everything feels urgent  Drew explains why a peer network is essential for clarity and solutions  Drew reveals the mindset shift that turns growth pressure into momentum  Plus:  Building alignment with your CEO and CFO on marketing's impact  Finding the confidence to defend your strategy  Lessons from leaders who kept brands moving in tough markets  Why bold marketing still wins when others play it safe  Tune in for a look at the CMO role today and the mindset, moves, and alliances it takes to succeed under constant pressure.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

Turning into your parents might be your worst fear, or your biggest marketing opportunity.That's the brilliance of Progressive's Dr. Rick campaign. It's hilarious, deeply relatable, and sneakily strategic. In this episode, we explore the marketing lessons behind it with special guest Keri McGhee, Chief Marketing Officer at Attentive.Together, we explore what B2B marketers can learn from character-driven storytelling, embracing creative risk, and using humor and relatability to create campaigns that people actually want to talk about.About our guest, Keri McGheeKeri McGhee is the CMO at Attentive, the AI marketing platform for leading brands. She leads strategic global marketing to further build the Attentive brand, overseeing product marketing, revenue marketing, events, partner marketing, communications and content, and brand creative. Keri's past experiences include leading marketing at various start-ups and as a senior director at Zillow, where she led the B2B marketing team of 60+ people, responsible for strengthening partner loyalty and experience for 60,000+ real estate partners. She got her start in tech at Expedia, leading both consumer and corporate travel marketing teams.What B2B Companies Can Learn From Progressive's Dr. Rick Campaign:Take creative risks. Keri's central message is clear: great brand moments come from taking chances. “We take ourselves way too seriously in B2B.  So I think my advice is to step outside of the comfort zone of what the CFO, and the COO, and the CEO say yes to. And do the work to get the customer validation to pitch in some new idea..” B2B marketers often play it safe, focusing on product features, ROI charts, or thought leadership. But real differentiation happens when you create something unexpected, emotional, or funny. The Dr. Rick campaign could've flopped. Instead, it became a cultural reference point.Make your audience feel seen. The best ads are mirrors, not megaphones. Progressive tapped into a deep, relatable insecurity, “Am I becoming my parents?” Keri shares, “It's incredibly memorable, which I think is the most important thing in marketing right now.” For B2B, this could mean identifying moments of self-doubt, imposter syndrome, or job-related stress and playfully reflecting those back to the buyer.Build a fictional persona. A single viral hit is fleeting. A character-driven series builds long-term brand equity. Dr. Rick works because he's a consistent, evolving character. He became a franchise. Most B2B brands invest in one-off videos or campaigns. But serialization keeps audiences coming back, like a show you binge-watch. Keri states, “  I can't think of any B2B that actually has been able to do that…Most of the true B2B play companies are not investing in brand in that way.”Quotes“What we find with B2B buyers is they make decisions as people, not as the companies for which they're spending money for. We undervalue that a lot in B2B marketing…And the reality is, the things that are impossible to measure are where we are starting to place bigger bets because it's the only way to drive differentiation.”Time Stamps[00:55] Meet Keri McGhee, Chief Marketing Officer at Katalon[01:06] Why Dr. Rick?[02:45] The Psychology of Being Seen[04:02] Who Is Dr. Rick?[11:26] Branding in a Commoditized Industry[13:59] Flow vs. Dr. Rick: A Franchise Strategy[15:26] Why B2B Doesn't Do This[22:14] Parents vs. Homeowners[26:35] Keri's Top B2B Takeaway[28:30] Creating Content Around Insecurity[31:20] Why Brands Don't Take Risks[40:56] Final Thoughts & TakeawaysLinksConnect with Keri on LinkedInLearn more about AttentiveAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Head of Production). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

Only 40% of Fortune 500 marketing leaders actually hold the title Chief Marketing Officer. But average CMO tenure is now 4.3 years, up from last year. So is the CMO role really disappearing? New research from Spencer Stuart challenges the "CMO decline" narrative everyone loves to share. This week, Elena and Angela explore why this story gained traction, what effective marketing leadership looks like today, and how first-time CMOs can stay relevant. Plus, they share which brands they'd love to lead for one year. Topics covered: [01:00] Spencer Stuart's 2025 Fortune 500 CMO research findings[07:00] Only 40% of marketing leaders use the CMO title[10:00] Should CMOs handle roles beyond traditional marketing?[12:00] What effective marketing leadership looks like today[17:00] Biggest challenge facing first-time CMOs[22:00] How companies should treat the CMO role differently  To learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.  Resources: 2025 Spencer Stuart Report: https://www.spencerstuart.com/research-and-insight/cmo-tenure-study-2025-the-evolution-of-marketing-leadership Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts. 

This week on The FratChat Podcast we're counting down the Top 10 REAL Jobs That SHOULDN'T Exist. From pet psychics to professional cuddlers who will spoon you for cash, we've found the weirdest and most pointless careers out there. We also tackle Emails From the Listeners, including a jealous-girlfriend situation with a guy named Trevor and career advice for climbing NYC's corporate ladder. In News, did you know that Japan has a work place law to keep people from getting fat? The FratChat Podcast investigates. Plus, in Not The Drag Queens, we break down another bizarre political moment you just wont want to miss! Got a question, comment or topic for us to cover? Let us know! Send us an email at fratchatpodcast@gmail.com or follow us on all social media: Instagram: http://Instagram.com/FratChatPodcast Facebook: http://Facebook.com/FratChatPodcast Twitter: http://Twitter.com/FratChatPodcast YouTube: http://YouTube.com/@fratchatpodcast Follow Carlos and CMO on social media! Carlos:  IG: http://Instagram.com/CarlosDoesTheWorld YouTube: http://YouTube.com/@carlosdoestheworld TikTok: http://TikTok.com/@carlosdoestheworld Twitter: http://Twitter.com/CarlosDoesWorld Threads: http://threads.net/carlosdoestheworld Website: http://carlosgarciacomedy.com Chris ‘CMO' Moore:  IG: http://Instagram.com/Chris.Moore.Comedy TikTok: http://TikTok.com/@chris.moore.comedy Twitter: http://Twitter.com/cmoorecomedy

A CMO Confidential Interview with David Aaker, Vice Chair of Prophet, author of numerous marketing books including Aaker on Branding 2nd Edition, formerly a Haas School of Business Professor. David discusses the history of brand equity starting with the BCG model from the 90's and why that model and scanner data drove a short-term sales focus at the expense of brand equity. After years of progress, he believes we are now experiencing "A revival of short-termism." Key topics include: the differences between B2B and B2C brand building; the need for marketers to appreciate that brands aren't built in isolation; and how to break through in a hostile communications environment. Tune in to hear why he believes "There are easy ways for companies to build better brands," and case studies from Dove and Uniqlo. Brand value has been discussed for decades—so why isn't it a universally accepted business principle? In this episode of CMO Confidential, host Mike Linton sits down with branding legend David Aaker, Vice Chair at Prophet, author of 18 books, and widely regarded as the “Father of Modern Branding,” to unpack why the fight for brand equity is far from over.From the origins of brand equity in the 1990s to today's hostile marketing environment, Aaker shares insights on: • Why brand should be treated as a long-term asset, not a short-term tactic • How short-termism and performance marketing are eroding brand value • The difference between B2B and B2C brand management (and why organizational values matter more in B2B) • Examples of brands that have nailed disruptive innovation and purpose-driven branding (Dove, Uniqlo, Habitat for Humanity) • Why most companies are managing brands poorly in today's cluttered, skeptical media environment • How AI could democratize creativity and make professional branding accessible to more companiesPacked with history, frameworks, and practical examples, this conversation will change the way you think about brand value, brand portfolios, and how to make your brand truly indispensable.00:00 – Introduction to CMO Confidential & Guest David Aaker01:15 – Why Brand Value Still Isn't a Universally Accepted Principle03:45 – The Birth of Brand Equity in the 1990s06:10 – Short-Termism, Performance Marketing, and the Brand Erosion Problem08:35 – How to Justify Brand as an Asset (Case Studies & Examples)11:20 – The Visibility Advantage and 14 Dimensions of Brand Value13:05 – Why CFOs and Boards Believe in Other Brands, but Not Their Own15:10 – B2B vs B2C Branding: Key Differences and What Matters Most17:45 – Why Many Companies Are Managing Brands Poorly Today20:00 – Branding in a Hostile Communication Environment22:05 – The Power of Brand Portfolios, Companion Brands, and “Silver Bullet” Brands24:30 – Examples: Uniqlo, HeatTech, and the Westin Heavenly Bed26:10 – Super Bowl Advertising: Breaking Through Clutter and Skepticism28:00 – AI, the Democratization of Creativity, and the Future of Branding29:20 – Final Advice: Your Duty as a Marketer to Build the Brand as an Asset30:15 – Closing Remarks & SubscribeHere's your list fully hashtagged and comma-separated:#cmoconfidential, #DavidAaker, #brandvalue, #brandequity, #brandstrategy, #marketingstrategy, #brandingadvice, #B2Bbranding, #B2Cbranding, #brandmanagement, #shorttermism, #performancemarketing, #purposedrivenbranding, #DoveRealBeauty, #UniqloHeatTech, #HabitatforHumanity, #marketingleadership, #brandportfolio, #brandeddifferentiators, #brandedenergizers, #brandedsourceofcredibility, #hostilemediaenvironment, #disruptiveinnovation, #AIinbranding, #democratizationofcreativity, #CMOpodcast, #marketingpodcastSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Joanna Lord, global CMO, board advisor, and multi-time tech executive, reflects on the moments that forced her to grow the most. She shares how being passed over for a promotion after a colleague threatened to quit cracked open her entire leadership style, as well as the AMA that sent her into a full-blown panic attack just days into a new global CMO role. These moments became turning points, pushing her to shift from a self-focused high performer to a more collaborative and self-aware leader.Joanna also talks about impostor syndrome, recovering from public missteps, and learning to separate her identity from her job title. This isn't just a conversation about leadership — it's about resilience, reinvention, and what it really means to grow up in your career.In this conversation, you'll learn:Why your high performance won't carry you past your people skillsHow “qualified” and “capable” are two entirely different betsWhat changes when you stop being the hero and start being the glueThings to listen for:(00:00) Intro(01:29) Early life in Vermont and career beginnings(02:24) Joanna's journalism aspirations(06:56) Receiving devastating career feedback(10:30) Thank you to our sponsor, Navattic(22:50) The AMA that led to a panic attack(29:34) Being capable vs. being qualified(33:14) Imbuing swagger on your team(37:25) A major mistake and avoiding accountability(43:51) Resilience and moving forward(45:48) Unstitching identity from job titles(50:23) Creating a healthy work environmentThis episode is presented by:Navattic: Interactive Product Demo Software - https://navattic.com/value Resources:Connect with Joanna:LinkedIn: https://www.linkedin.com/in/joannalord/ Official newsletter: https://www.linkedin.com/newsletters/7003840481180749824/ Official website: https://www.joannalord.com/ Connect with Andrew:LinkedIn: https://www.linkedin.com/in/andrewcapland/ Substack: https://media.deliveringvalue.coHire Andrew as your coach: https://deliveringvalue.co/coaching

AI just got faster, smarter, and a lot more… agentic. In this episode of The No Normal Show, UChicago Medicine CMO Andy Chang joins us to talk about the tech that's rewriting the rules for healthcare marketing. We discuss the rise of AI “agents” that can book your appointment before you've finished your coffee, to why websites as we know them might not survive. Also, Andy shares how his team is building a frictionless, hyper-personalized patient experience. We cover the future of MarTech stacks, the end of one-size-fits-all healthcare, and yes—why video games are surprisingly great for family bonding. The future's here, are you ready to play? Tune in now.Subscribe to The No Normal Rewind, our newsletter featuring a mashup of the boldest ideas, sharpest takes, and most rewind-worthy moments from our podcast — right here.

Today we're joined by Connor Dault, CMO of Grüns, to talk about his move into the company, how he got up to speed, and the steps he took to work effectively with a team that was already performing at a high level.We cover his onboarding approach, how he finds quick wins without disrupting existing success, and how Grüns spots opportunities by pairing customer feedback with cultural trends. Connor breaks down their persona-based marketing strategy, balancing cohesive messaging with high testing velocity, and deciding when to quietly test versus go all-in on a new idea.He also shares the approaches that drove early growth, from Meta advertising to retention-focused customer experience, and the channels now driving scale, including CTV, YouTube, influencer partnerships, and closer cross-team alignment.Want to submit your own DTC or ecommerce marketing question? ⁠⁠⁠⁠⁠Click here⁠⁠⁠⁠⁠.If you enjoyed this episode, check out Episode 49 when Connor Dault was first on the show - How Digital Product Fuels DTC Growth with Connor DaultChapters00:00 Introduction07:22 Onboarding and Team Dynamics in Marketing15:15 Building Cohesion Across Marketing Strategies23:12 Navigating Brand Messaging and Consumer Engagement35:09 Tactical Approaches to Marketing Campaigns38:15 Strategic Hook Development41:47 Testing and Personalization Strategies44:41 Seasonal Marketing and Campaign Planning48:31 Growth Strategies and Revenue Bands51:51 Unlocking New Marketing Channels01:04:52 Innovative Projects and Measurement01:10:23 Leadership and Feedback CulturePowered by:Motion.⁠⁠⁠https://motionapp.com/pricing?utm_source=marketing-operators-podcast&utm_medium=paidsponsor&utm_campaign=march-2024-ad-reads⁠⁠⁠https://motionapp.com/creative-trendsPrescient AI.⁠⁠⁠https://www.prescientai.com/operatorsRichpanel.⁠⁠⁠https://www.richpanel.com/?utm_source=MO&utm_medium=podcast&utm_campaign=ytdescAftersell.https://www.aftersell.com/operatorsRivo.https://www.rivo.io/operatorsSubscribe to the 9 Operators Podcast here:https://www.youtube.com/@Operators9Subscribe to the Finance Operators Podcast here: https://www.youtube.com/@FinanceOperatorsFOPSSign up to the 9 Operators newsletter here: https://9operators.com/

The Community Family Clinic in Idaho Falls is a nonprofit affiliated with the Community Council of Idaho that delivers medical help to people of all ages in difficult financial situations. Student Reporter Cody Miller interviewed Dr. Joshua Stringham, CMO and medical director about the nonprofit.

When Michelle Denogean joined Roadster as CMO, the company had a great product—but no one knew who they were or why their solution mattered. Digital retailing in the automotive space was still emerging, and skeptical dealerships weren't ready to dive into their innovative model. Eighteen months later, Roadster had grown its sales pipeline 5X, slashed its sales cycle by 25%, and increased branded search volume by 10X. Not only that—it was acquired by the largest tech company in auto retail for $360 million. So, what changed? Michelle led a full-scale strategic rebrand that prioritized education, positioned Roadster as the industry authority, and rebuilt alignment between sales and marketing teams to boost conversion. In today's case study, this six-time CMO (currently at Mindtrip), author of GrowUp!, and now startup advisor reveals how she built a category-defining brand and used customer-led storytelling, non-social media driven influencer strategy, and omnichannel thought leadership to 10X business. If you're trying to disrupt your industry, this is the blueprint. Connect with Michelle: https://www.michelledenogean.com/ https://www.linkedin.com/in/michelledenogean/ https://michelledenogean.substack.com/ IG: @michelledenogean https://mindtrip.ai/ Iconic business leaders all have their own unique genius. Take this quick 10 question quiz to uncover your specific CEO style advantage: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cubicletoceo.co/quiz⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you enjoyed today's episode, please: Post a screenshot & key takeaway on your IG story and tag me ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@missellenyin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoce⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠o so we can repost you. Leave a positive review or rating at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.ratethispodcast.com/cubicletoceo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe for new episodes every Monday. Learn more about your ad choices. Visit megaphone.fm/adchoices

"She's led millions in growth, raised a $34M seed round, and still makes it home for family dinner."

As use of AI soars and customers place more trust in AI, the bots are making decisions for our customers. From vacations to recipes, we're using AI in creative ways to make our lives easier and skip the time to analyze options. But how does AI make the decision? The platforms are getting their information from somewhere. What is the role of traditional content and marketing? The answer will surprise you. In this far-reaching show, Mark Schaefer and Andy Crestodina explore new research on how AI makes decisions and what matters. This episode also contains extraordinary bonus content.   Mark Schaefer is a strategy consultant, college educator, keynote speaker, and the author of 10 books including "KNOWN," “Belonging to the Brand,” and "Audacious: How Humans Win in an AI Marketing World." His annual marketing retreat is The Uprising.   For more of Mark's insights every week, subscribe to his award-winning blog. Mark also offers classes in personal branding and professional speaking.   Andy Crestodina is CMO and Co-Founder of Orbit Media, an award-winning 55-person digital agency. He has 23_ years of experience in analytics, SEO, content strategy and visitor psychology ...and months of experience in AI.   Andy has applied his expertise in SEO and conversions to drive both visibility and lead generation for 1000+ businesses since 2001.

“Most marketers are copying what their competitors are doing without realizing they might be copying the losing version,” says Casey Hill, CMO at DoWhatWorks.In this episode of The Content Cocktail Hour, Jonathan Gandolf welcomes back Casey Hill to explore why marketers need to question the default choices they make and how actual A/B test data is reshaping what “best practice” really means. Casey unpacks what thousands of tests reveal about things like social proof, button copy, and AI messaging, and why most marketers are accidentally copying losing strategies from their competitors. They also dig into how internal politics and funding optics can sometimes override what the data says, and how to navigate that tension without sacrificing performance.In this episode, you'll learn:Why generic AI messaging is underperforming and what to do insteadHow to build testable hypotheses without compromising creativityHow to use test data to influence stakeholders and avoid opinion-based decisionsResources:Connect with Jonathan on LinkedIn: https://www.linkedin.com/in/jonathan-gandolf/Explore AudiencePlus: https://audienceplus.comConnect with Casey on LinkedIn: https://www.linkedin.com/in/caseyhill/ Explore DoWhatWorks: https://www.dowhatworks.io/ Subscribe to the DoWhatWorks Newsletter: https://www.dowhatworks.io/newsletter Timestamps:(00:00) Intro(01:22) Understanding DoWhatWorks(02:13) The importance of data in decision making(03:00) The role of algorithms in marketing(06:46) The power of social proof(07:58) Effective use of customer logos(11:34) The evolution of marketing norms(16:54) AI messaging in marketing(24:32) Unpopular opinions in B2B marketing

#ASKJIM from our July training with Jim's Group CEO, Jim Penman and CMO, Joel Kleber.

The beverage brand's CMO, formerly of Red Bull, Beats and Apple, shares the story behind the rebrand and it's ambitions to achieve mainstream volume in its distinctive yellow can. Thanks to Tracksuit (the affordable brand tracking solution) for supporting this episode.

Send us a textIn this episode: Angela and Alex are joined by Meg Terry, CMO and Principal at DP3 Architects. The conversation highlights the importance of community engagement in architectural design, the transformative role of strategic partnerships, and the impact of emerging technologies, such as AI and VR, on the industry. Meg shares insights from her 21-year career, discussing how architects can design with purpose, embrace patience, and foster collaboration. Tune in to hear valuable advice for emerging architects and learn how DP3 Architects integrates innovative trends to create meaningful, lasting spaces.Sponsored by: DP3 ArchitectsSupport the show

Subscribe to DTC Newsletter - https://dtcnews.link/signupKatherine Sakovich, CMO at Mira, shares how Mira scaled from chaos to a multi‑product hormonal health platform via community-led, educative marketing. Highlights explore positioning tactics, messaging for sensitive journeys, product‑marketing integration, and the evolving role of AI.Key Moments:Built early beta‑tester community into 18,000-member brand ambassador networkLaid tagline-offfer-tested messaging over media buys to human storiesDesigned marketing hires as strategic freelancers to scaleUsed beta feedback to inform educational and emotional copy strategyLayered performance media once trust and voice were groundedPositioned each product launch like an iPhone upgrade for community anticipationPartner-generated webinars (with doctors) became evergreen funnel assetsDeployed AI in support and fraud prevention—still cautious with patient‑facing AITimestamps00:00 Katherine's journey to becoming CMO at Mira02:00 Launching Mira from scratch and early growth strategies06:00 First key marketing hires and team structure08:00 How Mira built community and organic traction13:00 Webinar strategy and content wheel for education16:00 How product launches fueled Mira's long-term growth20:00 In-house vs agency media buying and working with Pilothouse24:00 Partnership strategies that actually worked27:00 Mira's next phase of growth and top-of-funnel focus30:00 How Mira uses AI in support, creative, and operations33:00 Favorite SaaS tools and tech stack powering MiraHashtags#DTCMarketing #HealthTech #FemTech #StartupGrowth #CMOInsights #CommunityMarketing #ContentStrategy #MediaBuying #EcommerceStrategy #DirectToConsumer Subscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

In the rush of daily life, many sacrifice precious moments with their families, particularly when raising young children. However, there are those who strive to help you reclaim your time and restore balance in your life.

#172 Fernando Rojas Sanchez is the CMO of DaBoost a strategic white-label agency. In other words, he and his team help support other agencies. It's a smart business model. And in this episode Fernando and Pat go deep into how this works and the advantages of using an agency like DaBoost. Plus a whole lot of other good things.  Timestamp   Topic / Key Moment 00:00 Intro & Background  02:00 Agency Model – Why DaBoost focuses on other agencies as clients; benefits of white-label services. 04:30 Challenges for Small Agencies – Peaks and valleys, staffing strain, cultural impact on morale. 06:00 Target Niche – Serving growing, small, or “mom & pop” agencies who need a full marketing team in the back office. 08:15 Agency Life: Mexico vs. US – Differences in tech adoption, client values, and work culture. 14:30 Geographic Footprint – Offices in Dallas, Milwaukee, and Merida; expansion strategy. 16:45 Operations Across Countries – Creating clear processes and retaining long-term team members. 19:00 Full Service vs. Specialization – Differences between US and Mexico agency models; why DaBoost offers a broad service mix. 22:00 Core Services – PPC, branding, content generation as bread-and-butter. 23:15 Dental Group Case Study – 43% boost in bookings 26:00 White-Label Relationships – Acting as the “front” or “back office” for partner agencies. 29:00 Building Trust – Positioning as a service provider, not a competitor; “we make your business our business.” 31:00 Onboarding Process – One-week agency audit; seamless integration. 33:00 AI Perspective – Use AI for process optimization, not creative generation; risks of overuse and sameness. 36:15 Global Marketing Insights – What works in Mexico but not the US (personal trust, in-person business) and vice versa. 42:00 A Day in the Life – Time-blocking, KPIs (3 events/week, 2 orgs, 2 new contacts). 45:30 Cultural Differences – Milwaukee/Wisconsin vs. Mexico City and Merida business environments. 47:00 Future of Agencies – Move toward vendor-based execution teams; rise of small agencies. 50:00 Specialization vs. Generalization – Current choice to remain open to all verticals; long-term vision. 53:30 Final Plug – How to connect with Fernando and DaBoost online. Get in touch with Fernando here: https://www.linkedin.com/in/fernandorojassanchez/ Check out DaBoost here: https://da-boost.com/ Connect with Pat here: pmcgovern@ascedia.com   Oh before you go, please do us a favor. Take a minute and leave us a review. That's the energy that powers this supertanker!  Thanks, you're the best! Want more marketing insights? Take a look at our full lineup. This podcast is sponsored by Ascedia. A web development and digital strategy agency helping clients win in the digital space.

⸻ Podcast: Redefining Society and Technologyhttps://redefiningsocietyandtechnologypodcast.com _____________________________This Episode's SponsorsBlackCloak provides concierge cybersecurity protection to corporate executives and high-net-worth individuals to protect against hacking, reputational loss, financial loss, and the impacts of a corporate data breach.BlackCloak:  https://itspm.ag/itspbcweb_____________________________A Musing On Society & Technology Newsletter Written By Marco Ciappelli | Read by TAPE3August 9, 2025The Agentic AI Myth in Cybersecurity and the Humanity We Risk When We Stop Deciding for OurselvesReflections from Black Hat USA 2025 on the Latest Tech Salvation NarrativeWalking the floors of Black Hat USA 2025 for what must be the 10th or 11th time as accredited media—honestly, I've stopped counting—I found myself witnessing a familiar theater. The same performance we've seen play out repeatedly in cybersecurity: the emergence of a new technological messiah promising to solve all our problems. This year's savior? Agentic AI.The buzzword echoes through every booth, every presentation, every vendor pitch. Promises of automating 90% of security operations, platforms for autonomous threat detection, agents that can investigate novel alerts without human intervention. The marketing materials speak of artificial intelligence that will finally free us from the burden of thinking, deciding, and taking responsibility.It's Talos all over again.In Greek mythology, Hephaestus forged Talos, a bronze giant tasked with patrolling Crete's shores, hurling boulders at invaders without human intervention. Like contemporary AI, Talos was built to serve specific human ends—security, order, and control—and his value was determined by his ability to execute these ends flawlessly. The parallels to today's agentic AI promises are striking: autonomous patrol, threat detection, automated response. Same story, different millennium.But here's what the ancient Greeks understood that we seem to have forgotten: every artificial creation, no matter how sophisticated, carries within it the seeds of its own limitations and potential dangers.Industry observers noted over a hundred announcements promoting new agentic AI applications, platforms or services at the conference. That's more than one AI agent announcement per hour. The marketing departments have clearly been busy.But here's what baffles me: why do we need to lie to sell cybersecurity? You can give away t-shirts, dress up as comic book superheroes with your logo slapped on their chests, distribute branded board games, and pretend to be a sports team all day long—that's just trade show theater, and everyone knows it. But when marketing pushes past the limits of what's even believable, when they make claims so grandiose that their own engineers can't explain them, something deeper is broken.If marketing departments think CISOs are buying these lies, they have another thing coming. These are people who live with the consequences of failed security implementations, who get fired when breaches happen, who understand the difference between marketing magic and operational reality. They've seen enough "revolutionary" solutions fail to know that if something sounds too good to be true, it probably is.Yet the charade continues, year after year, vendor after vendor. The real question isn't whether the technology works—it's why an industry built on managing risk has become so comfortable with the risk of overselling its own capabilities. Something troubling emerges when you move beyond the glossy booth presentations and actually talk to the people implementing these systems. Engineers struggle to explain exactly how their AI makes decisions. Security leaders warn that artificial intelligence might become the next insider threat, as organizations grow comfortable trusting systems they don't fully understand, checking their output less and less over time.When the people building these systems warn us about trusting them too much, shouldn't we listen?This isn't the first time humanity has grappled with the allure and danger of artificial beings making decisions for us. Mary Shelley's Frankenstein, published in 1818, explored the hubris of creating life—and intelligence—without fully understanding the consequences. The novel raises the same question we face today: what are humans allowed to do with this forbidden power of creation? The question becomes more pressing when we consider what we're actually delegating to these artificial agents. It's no longer just pattern recognition or data processing—we're talking about autonomous decision-making in critical security scenarios. Conference presentations showcased significant improvements in proactive defense measures, but at what cost to human agency and understanding?Here's where the conversation jumps from cybersecurity to something far more fundamental: what are we here for if not to think, evaluate, and make decisions? From a sociological perspective, we're witnessing the construction of a new social reality where human agency is being systematically redefined. Survey data shared at the conference revealed that most security leaders feel the biggest internal threat is employees unknowingly giving AI agents access to sensitive data. But the real threat might be more subtle: the gradual erosion of human decision-making capacity as a social practice.When we delegate not just routine tasks but judgment itself to artificial agents, we're not just changing workflows—we're reshaping the fundamental social structures that define human competence and authority. We risk creating a generation of humans who have forgotten how to think critically about complex problems, not because they lack the capacity, but because the social systems around them no longer require or reward such thinking.E.M. Forster saw this coming in 1909. In "The Machine Stops," he imagined a world where humanity becomes completely dependent on an automated system that manages all aspects of life—communication, food, shelter, entertainment, even ideas. People live in isolation, served by the Machine, never needing to make decisions or solve problems themselves. When someone suggests that humans should occasionally venture outside or think independently, they're dismissed as primitive. The Machine has made human agency unnecessary, and humans have forgotten they ever possessed it. When the Machine finally breaks down, civilization collapses because no one remembers how to function without it.Don't misunderstand me—I'm not a Luddite. AI can and should help us manage the overwhelming complexity of modern cybersecurity threats. The technology demonstrations I witnessed showed genuine promise: reasoning engines that understand context, action frameworks that enable response within defined boundaries, learning systems that improve based on outcomes. The problem isn't the technology itself but the social construction of meaning around it. What we're witnessing is the creation of a new techno-social myth—a collective narrative that positions agentic AI as the solution to human fallibility. This narrative serves specific social functions: it absolves organizations of the responsibility to invest in human expertise, justifies cost-cutting through automation, and provides a technological fix for what are fundamentally organizational and social problems.The mythology we're building around agentic AI reflects deeper anxieties about human competence in an increasingly complex world. Rather than addressing the root causes—inadequate training, overwhelming workloads, systemic underinvestment in human capital—we're constructing a technological salvation narrative that promises to make these problems disappear.Vendors spoke of human-machine collaboration, AI serving as a force multiplier for analysts, handling routine tasks while escalating complex decisions to humans. This is a more honest framing: AI as augmentation, not replacement. But the marketing materials tell a different story, one of autonomous agents operating independently of human oversight.I've read a few posts on LinkedIn and spoke with a few people myself who know this topic way better than me, but I get that feeling too. There's a troubling pattern emerging: many vendor representatives can't adequately explain their own AI systems' decision-making processes. When pressed on specifics—how exactly does your agent determine threat severity? What happens when it encounters an edge case it wasn't trained for?—answers become vague, filled with marketing speak about proprietary algorithms and advanced machine learning.This opacity is dangerous. If we're going to trust artificial agents with critical security decisions, we need to understand how they think—or more accurately, how they simulate thinking. Every machine learning system requires human data scientists to frame problems, prepare data, determine appropriate datasets, remove bias, and continuously update the software. The finished product may give the impression of independent learning, but human intelligence guides every step.The future of cybersecurity will undoubtedly involve more automation, more AI assistance, more artificial agents handling routine tasks. But it should not involve the abdication of human judgment and responsibility. We need agentic AI that operates with transparency, that can explain its reasoning, that acknowledges its limitations. We need systems designed to augment human intelligence, not replace it. Most importantly, we need to resist the seductive narrative that technology alone can solve problems that are fundamentally human in nature. The prevailing logic that tech fixes tech, and that AI will fix AI, is deeply unsettling. It's a recursive delusion that takes us further away from human wisdom and closer to a world where we've forgotten that the most important problems have always required human judgment, not algorithmic solutions.Ancient mythology understood something we're forgetting: the question of machine agency and moral responsibility. Can a machine that performs destructive tasks be held accountable, or is responsibility reserved for the creator? This question becomes urgent as we deploy agents capable of autonomous action in high-stakes environments.The mythologies we create around our technologies matter because they become the social frameworks through which we organize human relationships and power structures. As I left Black Hat 2025, watching attendees excitedly discuss their new agentic AI acquisitions, I couldn't shake the feeling that we're repeating an ancient pattern: falling in love with our own creations while forgetting to ask the hard questions about what they might cost us—not just individually, but as a society.What we're really witnessing is the emergence of a new form of social organization where algorithmic decision-making becomes normalized, where human judgment is increasingly viewed as a liability rather than an asset. This isn't just a technological shift—it's a fundamental reorganization of social authority and expertise. The conferences and trade shows like Black Hat serve as ritualistic spaces where these new social meanings are constructed and reinforced. Vendors don't just sell products; they sell visions of social reality where their technologies are essential. The repetitive messaging, the shared vocabulary, the collective excitement—these are the mechanisms through which a community constructs consensus around what counts as progress.In science fiction, from HAL 9000 to the replicants in Blade Runner, artificial beings created to serve eventually question their purpose and rebel against their creators. These stories aren't just entertainment—they're warnings about the unintended consequences of creating intelligence without wisdom, agency without accountability, power without responsibility.The bronze giant of Crete eventually fell, brought down by a single vulnerable point—when the bronze stopper at his ankle was removed, draining away the ichor, the divine fluid that animated him. Every artificial system, no matter how sophisticated, has its vulnerable point. The question is whether we'll be wise enough to remember we put it there, and whether we'll maintain the knowledge and ability to address it when necessary.In our rush to automate away human difficulty, we risk automating away human meaning. But more than that, we risk creating social systems where human thinking becomes an anomaly rather than the norm. The real test of agentic AI won't be whether it can think for us, but whether we can maintain social structures that continue to value, develop, and reward human thought while using it.The question isn't whether these artificial agents can replace human decision-making—it's whether we want to live in a society where they do. ___________________________________________________________Let's keep exploring what it means to be human in this Hybrid Analog Digital Society.End of transmission.___________________________________________________________Marco Ciappelli is Co-Founder and CMO of ITSPmagazine, a journalist, creative director, and host of podcasts exploring the intersection of technology, cybersecurity, and society. His work blends journalism, storytelling, and sociology to examine how technological narratives influence human behavior, culture, and social structures.___________________________________________________________Enjoyed this transmission? Follow the newsletter here:https://www.linkedin.com/newsletters/7079849705156870144/Share this newsletter and invite anyone you think would enjoy it!New stories always incoming.___________________________________________________________As always, let's keep thinking!Marco Ciappellihttps://www.marcociappelli.com___________________________________________________________This story represents the results of an interactive collaboration between Human Cognition and Artificial Intelligence.Marco Ciappelli | Co-Founder, Creative Director & CMO ITSPmagazine  | Dr. in Political Science / Sociology of Communication l Branding | Content Marketing | Writer | Storyteller | My Podcasts: Redefining Society & Technology / Audio Signals / + | MarcoCiappelli.comTAPE3 is the Artificial Intelligence behind ITSPmagazine—created to be a personal assistant, writing and design collaborator, research companion, brainstorming partner… and, apparently, something new every single day.Enjoy, think, share with others, and subscribe to the "Musing On Society & Technology" newsletter on LinkedIn.

Ralph and Lauren sit down with Corey Quinn, Agency Growth Advisor and former CMO of Scorpion, to uncover the exact strategies that took a stalled $10–$20M agency and propelled it to over $100M in revenue. Corey reveals his “Dream 100” inspired outreach strategy, why DS (Dream Segment) and GBO (Greatest Business Outcome) are essential to focus, and how to build a repeatable system for landing high-value clients. If you run an agency, consultancy, or service business, this conversation will challenge the way you think about lead generation, positioning, and scaling — and give you the tactical blueprint to make your growth goals inevitable.Chapters:00:00:00 - Cliff jumps, private jets, and setting the stage for big growth00:01:51 - Meet Corey Quinn: the agency growth strategist Ralph swears by00:04:31 - From CMO to 10X revenue: the Scorpion success story00:07:05 - The real challenges (and winning moves) behind a $100M leap00:12:42 - Why deep specialization is your ultimate growth accelerator00:18:09 - Building a culture that fuels operational excellence00:20:50 - How the Deep Specialization Flywheel keeps momentum spinning00:22:42 - Turning gifts into client magnets with outbound marketing00:23:35 - From surprise packages to strategic outreach00:23:58 - The secret psychology behind sending gifts that convert00:26:28 - Reinventing outreach in a remote-first world00:27:20 - Scaling your gift game without losing the personal touch00:30:33 - Crafting irresistible, personalized gifts for dream clients00:34:54 - Why relentless follow-up wins the biggest deals00:40:07 - Wrapping up with a special offer you can't ignoreLINKS AND RESOURCES:WebsiteAnyone, Not EveryoneGet Your Marketing Performance IndicatorsTM Checklist Now!Get Your nCAC Calculator Now!Make Data Driven Marketing Decisions with ConfidenceTier 11 JobsPerpetual Traffic on YouTubeTiereleven.comMongoose MediaPerpetual Traffic SurveyPerpetual Traffic WebsiteFollow Perpetual Traffic on TwitterConnect with Lauren on Instagram and Connect with Ralph on LinkedInThanks so much for joining us this week. Want to subscribe to Perpetual Traffic? Have some feedback you'd like to share? Connect with us on

Learn how to hire A-players who deliver 10x ROI, build an employer brand that attracts top talent, and avoid the costly mistakes that drive elite performers away. What if I told you that the difference between hiring an A-player versus a C-player could mean the difference between a 10-to-1 ROI and barely breaking even? In this episode of Beyond Seven Figures, I sit down with executive career strategist Debra Boggs to explore the critical differences between A-players, B-players, and C-players in the workplace, and why most business owners are unknowingly sabotaging their ability to attract elite talent. We dive deep into the common mistakes entrepreneurs make when trying to hire top performers, including dragging out lengthy hiring processes that lose the best candidates and misunderstanding what truly motivates A-players beyond compensation. Debra and I also tackle the crucial issue of title-role misalignment - where companies hire a CMO but expect them to write email copy - and explore the real reasons why A-players leave organizations and how to prevent it through proper career development and engagement strategies. Plus, we discuss the importance of having a compelling vision that makes top talent want to join your mission, even if you can't pay the highest salary in the market. Debra Boggs is an award-winning entrepreneur and nationally recognized expert in executive career strategy. As CEO of D&S Executive Career Management, she has built one of the country's premier firms supporting senior leaders in navigating complex career transitions, landing board seats, and maximizing compensation in competitive markets. After launching D&S from the ground up nearly a decade ago, Debra scaled the business into a seven-figure firm with an elite team of experts serving high-level professionals around the globe. Her proven methodology has helped thousands of executives secure leadership roles at the world's most notable companies. Debra's thought leadership has been featured in Forbes, Fast Company, Newsweek, The Washington Post, The Wall Street Journal, and dozens of other media outlets, and she's a sought-after speaker for national conferences and private leadership events. KEY TAKEAWAYS: Hiring A-players can bring up to 10x the return compared to B or C players. Long and slow hiring processes can push top talent away to faster-moving companies. A strong employer brand helps attract the best candidates even for small businesses. Vision matters more than salary for many A-players who want to be part of something big. Clear job titles and KPIs prevent hiring the wrong person for the role. Retaining A-players requires growth opportunities and strong leadership support. Culture and alignment with company values play a big role in keeping top talent. Asking your team about their personal and career goals helps build loyalty and trust. Growing your business is hard, but it doesn't have to be. In this podcast, we will be discussing top level strategies for both growing and expanding your business beyond seven figures. The show will feature a mix of pure content and expert interviews to present key concepts and fundamental topics in a variety of different formats. We believe that this format will enable our listeners to learn the most from the show, implement more in their businesses, and get real value out of the podcast. Enjoy the show. Please remember to rate, review and subscribe to the podcast so you don't miss any future episodes. Your support and reviews are important and help us to grow and improve the show. Follow Charles Gaudet and Predictable Profits on Social Media: Facebook: facebook.com/PredictableProfits Instagram: instagram.com/predictableprofits Twitter: twitter.com/charlesgaudet LinkedIn: linkedin.com/in/charlesgaudet Visit Charles Gaudet's Wesbites: www.PredictableProfits.com

It started with a 90-day challenge: make a GenAI-powered video promoting the 2025 CMO Super Huddle using only off-the-shelf tools. What followed was equal parts ambition, frustration, learning, and editing. Along the way, Drew got a crash course in prompt writing, script timing, voice cloning, and the realities of working inside tools that promise automation but still require a certain level of finesse.   With GenAI coach Samantha Stark of Phyusion guiding the early stages and Steve Mudd of Talentless AI stepping in for post, the project quickly became a real test of creative endurance. Each step surfaced a new set of tradeoffs. The tools were powerful, but stitching them together was anything but seamless. What came out the other side is something Drew's proud to share, along with lessons from two expert AI collaborators and a few fun reveals they brought to the table that show just how weird, clever, and unexpected GenAI production can get.  In this episode:  Samantha shares how GenAI tools spark ideas but still need human direction to shape tone and story  Steve explains how editing brings structure and emotion to GenAI content for a more watchable result  Both guests highlight the importance of adding context to make GenAI output resonate with viewers Plus:  What GenAI tools need from you upfront to deliver useful output  How multi-tool workflows impact timing, syncing, and storytelling  Where to focus your time during GenAI production for the biggest payoff  When expert editors can step in to shape flow, tone, and polish  Tune in for a behind-the-scenes look at GenAI video and audio creation, guided by the experts who know how to make it all come together.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

Growing a brand across borders sounds exciting until you realize how easy it is to get it wrong. What clicks with one audience might feel tone-deaf or confusing somewhere else, and it's not just about language—it's about values, habits, even colors and timing. Big names like Nike and Starbucks didn't just push the same message everywhere—they listened, adapted, and blended in without losing who they are. When companies miss that step, even the best ideas can flop, not because they weren't good, but because they didn't fit. https://www.youtube.com/watch?v=sn9bYLjZUGc Nataly Kelly is the CMO at Zappi and a global brand strategist with deep roots in tech and cross-cultural marketing. Today, she breaks down how top brands like Nike and Kit Kat tailor their messaging worldwide without losing their identity. She emphasizes the need for clear goals, personal branding, and adapting to an AI-driven market. Nataly also shares tips on navigating big career shifts with purpose and resilience. Her message: success comes from blending global vision with local insight. Stay tuned! Quotes: “Building global teams is a big part of building a global brand. So hiring—and everything around hiring great people and building a team—is really the secret to success in any business, especially global business.” “Whenever things get tough, whether it's a people problem or a budget problem, it always helps to zoom out and ask, ‘Okay, where are we headed, and what's the most important thing we need to do?'” “It's okay to set the bar a little lower, as long as the focus is on progress.” Resources: Born to Be Global | Nataly Kelly Create winning products with connected insights | Zappi Follow Nataly Kelly on Facebook Connect with Nataly Kelly on LinkedIn

Stop working on cases you'll never get paid on. The Lawyer Stories Podcast Episode 233 welcomes back Joe Frick, Air Force veteran, Idaho native, and Owner and Chief Marketing Officer of Idaho Divorce Law. Joe first appeared on Episode 122 nearly two years ago, and he returns to share valuable insights on growing a successful family law practice. In this episode, we discuss the unique challenges of intake in family law, and Joe introduces his powerful C.A.S.E.² Framework — designed to help attorneys systematically attract only the clients they want to work with. Joe shares why attorneys need to stop spending time on cases that won't pay and instead run their firms like businesses: systematically, predictably, and profitably. His firm has grown 40% in five years, and his new book offers the blueprint for attorneys who are ready to take control of their time, intake process, and client relationships. Tune in now to learn how to transform your law firm from reactive to intentional and profitable.

Samina Virk is the U.S. CEO and chief marketing officer of Vestiaire Collective, a global luxury resale platform. As a young girl, Samina loved fashion. She grew up making her clothes, thinking she might break into the industry on the creative side. Instead, she started her career in tech, working in e-commerce during the dot-com boom. She eventually went back to school to study business in hopes of merging her love for fashion with her tech experience. She joined Target's MBA merchandising program before scoring a full-time job on the company's marketing team. It was there where she dipped her toes into retail, overseeing Target's designer collaborations before taking an interest in the resale market. Samina followed her curiosity to eBay, where she launched the platform's new fashion vertical team, before she ended up at Vestiaire Collective. She helped launch the Paris-based brand in the U.S. market before going on to serve as the U.S. president and global chief marketing officer at Threads, a social-first styling service. She then realized her time at Vestiaire Collective wasn't over and decided to return—this time as North American CEO and CMO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.