Podcasts about Market research

95% of senior marketing leaders are already using or planning to use synthetic data within 12 months. So why are so many marketers still on the fence?In this episode, Elena, Angela, and Rob talk with Peter Weinberg, co-founder of Evidenza and former head of research at LinkedIn's B2B Institute. They discuss where to start with synthetic audiences, how to assess accuracy, and why brand building still matters as AI changes how people search and decide.Topics covered:•    [00:00] Introductions and what synthetic research actually is•    [03:00] Why 95% of marketing leaders plan to use synthetic data within 12 months•    [05:00] Synthetic research really replaces ignorance, not traditional surveys•    [09:00] How to evaluate accuracy in synthetic research tools•    [10:30] Where marketers should start: find the white spaces first•    [16:00] Why AI can be creative and what 'temperature' means for marketers•    [24:00] Why brand still matters in an AI-driven search world•    [28:00] How Evidenza applied Ehrenberg-Bass principles to build their own brand•    [34:00] Why more real-time data can lead to worse decisionsTo learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.Resources:2025 Qualtrics Article: https://www.qualtrics.com/articles/strategy-research/synthetic-research-breakthrough/Peter's LinkedIn: https://www.linkedin.com/in/weinbergpeter/Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

Marketing and insights teams speak different languages when building cultural relevance. Radhika Duggal, CMO of Major League Soccer, and Bettina Garibaldi, Chief Marketing Officer for FIFA World Cup 26™ New York New Jersey, reveal how soccer earned its place in American culture through three decades of patient community building. They share the "attention and spectacle" framework that transformed MLS marketing, the "participation is the new reach" strategy driving World Cup engagement, and how both organizations convert global moments into lasting local fandom through authentic cultural integration. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Join this episode of DM Radio as host Eric Kavanagh speaks with Kamila Zahradnickova of Lakmoos and Tim Lidman of Clyde about two distinct but transformative applications of AI. Learn how Lakmoos uses mathematical simulation models and AI-powered digital twins to help organizations test products, campaigns, and business decisions before launching them in the real world. Next, learn lessons from building and selling ThinkTank to Accenture and why SaaS is evolving - not disappearing - as AI-native applications reshape software design and user experiences.  Explore how AI is changing everything from market research and customer insights to enterprise workflows and software development.

Discover how AI and Marketing are reshaping PR workflows. This episode covers platforms like HARO and Connectively, showing how AI-enabled Market Research connects experts to journalists. Learn the balance between AI efficiency and human authenticity in pitches. Explore AI detection tools like Pangram and understand how PR credibility affects AI search results. Perfect for marketers, PR pros, and business owners seeking visibility.

Stewart Alsop sat down with Michael Shackelford to discuss their experiences building applications through vibe coding—the practice of using AI to create software without traditional programming expertise. Stewart, who runs the AI Whispers community in Buenos Aires and hosts the Crazy Wisdom podcast (with over 660 interviews), shared how he went from teaching people prompt engineering to building his own video conferencing software as a Riverside.fm replacement, while Michael opened up about his year-long journey creating Genrupt Inc, an AI-powered content generation tool for e-commerce sellers. The conversation covered everything from the decline in quality of Claude's reasoning capabilities and how Chinese companies used distillation attacks to copy Anthropic's models, to the importance of spaced repetition systems for managing knowledge in the age of LLMs, with both sharing battle-tested prompting strategies like asking AI to "explain it to me in genius terms" and using deep research queries to reverse engineer how competitors build their products.Show Notes:- Dan Martell's book "Buy Back Your Time" was mentioned as one of the best business books for thinking about life and business- Check out John Vervaeke's "Awakening from the Meaning Crisis" for understanding relevance realization and why AI fundamentally cannot determine what's relevant to humans without being toldTimestamps00:00 Michael discusses being exhausted from getting his app ready for launch, working nonstop with AI to prepare landing page for podcast traffic driving beta signups05:00 Stewart explains starting AI Whispers in Buenos Aires after leaving OpenAI vendor company, meeting early adopters like Torin who was building mind-reading EEG technology10:00 Discussion of how corporations resist AI adoption due to political games and job security fears while some companies use AI as excuse for pandemic-era layoffs15:00 Stewart describes teaching workshops on using LLMs as linguistic tools rather than coding tools, noting technical people often lack humanities background needed for prompting20:00 Explaining chatbot wrappers, API calls, and how Anthropic's reasoning quality declined after Chinese distillation attacks copied their secret sauce developed with philosophers25:00 Technical discussion of model training, fine-tuning versus RAG for new information, and different approaches to updating AI knowledge beyond initial training30:00 Stewart describes building podcast recording software to replace expensive Riverside, struggling with syncing audio and video files across different computer clocks35:00 Discussion of critical factors in vibe coding, discovering unknown technical requirements, and how AIs don't automatically reveal missing information40:00 Stewart's reverse engineering process using deep research function to study competitors' hiring and technology stacks, separating planning agents from coding agents45:00 Prompting techniques including "explain like I know everything" and using spaced repetition systems to capture valuable prompts and technical knowledge50:00 Michael explains his Generux app for generating ecommerce content using Amazon review data analysis to inform high-converting listing images and videos55:00 Discussion of founder mentality involving self-delusion about project timelines, Michael working nine-plus hours daily for nine months on app development60:00 Comparing Amazon's expert software to prosumer software approach, discussing distribution challenges and future robotics applications for customized products65:00 Stewart demonstrates spaced repetition app for memory improvement and knowledge retention, explaining relevance realization problem that AI agents cannot solve without embodimentKey Insights1. Stewart Alsop started AI Whisperers in Buenos Aires after leaving his role at Invisible Technologies, which was OpenAI's largest vendor for RLHF work. He noticed that machine learning engineers at tech companies lacked the humanities background needed to properly interact with large language models, which are fundamentally linguistic tools. This led him to create weekly workshops teaching non-technical people how to use AI effectively, running events every Thursday for two years straight. The group attracted intense geeks from the start and eventually led to Stewart speaking right after Vitalik Buterin at DevConnect, marking a significant milestone for the community.2. Large corporations are resistant to AI adoption due to multiple factors including political dynamics within organizations and employees fearing job loss. Many companies that grew during the pandemic are now using AI as an excuse to downsize when the real issue is inefficiency from rapid expansion. Stewart observed that even technical people in machine learning often don't understand how to properly use AI tools because they lack linguistic and humanities training. The fundamental problem is educational, requiring companies to train people how to use these new tools while those same people resist learning them.3. Vibe coding has evolved significantly with Claude Code being a game changer that reduced the technical barrier to entry. Before Claude Code, developers needed substantial technical knowledge to work through constant doom loops and debugging cycles. The success of coding AI tools stems from thirty years of testing infrastructure that provides clear yes or no feedback on whether code works. This infrastructure doesn't exist in the same way for manufacturing, science, and other fields, which is why software became the dominant area for AI assistance initially.4. Claude's quality degradation over recent months resulted from multiple factors including distillation attacks by Chinese companies who reverse engineered Anthropic's reasoning capabilities. Anthropic had hired philosophers, sociologists, and psychologists to develop exceptional reasoning in Claude 4.5, but this was expensive to run. When Chinese models like Kimi copied these capabilities at one tenth the cost, and when mainstream users flooded the platform before Anthropic's planned IPO, the company had to reduce quality to manage computational costs. This represents a significant loss for power users who relied on Claude's superior reasoning abilities.5. Stewart built a podcast recording application to replace Riverside because he needed API access to automate workflows, which Riverside wanted one thousand dollars monthly to provide. The technical challenge involves syncing audio and video from local recordings on multiple computers with different clocks through a server, then merging them so voices match lip movements. This problem requires understanding complex timing issues across different network conditions and file formats. Stewart has been working through AI psychosis for months on this FFMPEG pipeline problem, illustrating how vibe coding still requires building intuition about technical problems even without traditional coding knowledge.6. The transition from expert software to prosumer software represents a major opportunity for AI-enabled tools. Expert software like Photoshop, Blender, and terminal interfaces have extreme complexity that intimidates beginners, but AI is making these capabilities accessible through natural language. The reign of specialists is ending as generalists with broad knowledge and curiosity can now build complete applications by leveraging AI to fill technical gaps. This shift particularly benefits entrepreneurs and founders who specialize in getting into difficult situations and figuring them out, even when they originally thought tasks would be easier than they turned out to be.7. Building applications with AI requires accepting massive time investments beyond initial estimates and developing strategies for overcoming knowledge gaps. Michael estimated his ecommerce content generation app would take months but spent nearly a year working over nine hours daily, while Stewart spent months solving audio-video sync issues. Success requires using tools like deep research to understand how competitors solve problems, maintaining separate planning and coding agents, and learning to ask the right questions. The key insight is that vibe coders can achieve ninety percent of functionality independently, but the final ten percent often requires understanding specific technical concepts that AI cannot intuit without proper context and domain knowledge.

HELP US IMPROVE THE PODCAST - TAKE THIS 3 MIN SURVEY:https://forms.gle/fRTV2YiJqncKVpFh7WEBINAR LINK:https://shawnmoore.clickfunnels.com/optiniyvvg89sWant to learn more about Vodyssey or start your STR journey. Book a call here:https://meetings.hubspot.com/vodysseystrategysession/booknow?utm_source=vodysseycom&uuid=80fb7859-b8f4-40d1-a31d-15a5caa687b7FOLLOW US:https://www.instagram.com/vodysseyshawnmoorehttps://www.facebook.com/vodysseyshawnmoore/https://www.linkedin.com/company/str-financial-freedomhttps://www.tiktok.com/@vodysseyshawnmooreCONTACT US:support@vodyssey.comPROPERTIES:https://www.airbnb.com/rooms/1667348904350233215?unique_share_id=26c563d9-be21-4667-80da-13b9daf699d1&viralityEntryPoint=1&s=76&source_impression_id=p3_1777312723_P3yexqjgooDm6_UcChapters00:00:00 Intro00:03:05 Background and Motivation for Short-Term Rentals00:05:50 Understanding Tax Benefits and Investment Strategy00:08:45 Family Involvement and Personal Use of Properties00:11:59 The Setup Process: Challenges and Fun00:15:05 Market Research and Property Selection00:17:59 DIY Approach vs. Turnkey Solutions00:20:50 Designing for Success: Standing Out in the Market00:25:02 Designing for Success: The Importance of Aesthetics00:28:42 Navigating Launch Delays: Planning and Execution00:31:19 The Power of Local Expertise: Finding the Right Realtor00:36:10 Performance Metrics: Analyzing Launch Success00:41:02 Lessons Learned: Embracing Challenges in the Process

Building a brand that lasts requires a bundle of promises, an uncompromising dedication to craft, and a healthy dose of grit. Monica Nassif, the force behind Mrs. Meyer's Clean Day, didn't just disrupt a tired $30 billion category—she bottled a legacy. From raising capital to fueling creative muscle, she knows exactly what it takes to turn an authentic story into a market-shifting powerhouse. What You'll Learn in This Episode - How training your eyes to notice beauty helps you identify distracting retail clutter and build an uncompromising premium brand - Why a former Target speechwriter decided to intentionally knock off her own high-end business with a thrifty Midwestern alternative - How capturing real words and designing a detailed stylist guide can create a consistent domestic mentor persona for a real-life mother - What two belly-flop startups taught a product geek about the dangers of running two businesses at once without a dedicated sales structure - Why stepping away from digital focus groups and walking the aisles of a competitive landscape provides the ultimate customer insight Episode Chapters (00:00) Intro (02:42) Balancing Startup Grit with Premium Detail (04:26) Turning a Real Person Into a Beloved Household Brand (05:56) Creating a Brand Bible Around a Legacy Persona (12:47) Learning from Startup Flops and Learning to Sell (15:37) The Framework of Why You Should Start a Business (19:56) The Retail Rat Approach to Market Research (26:13) A Brand That Makes Monica Smile About Monica Nassif Monica Nassif is an author, founder, entrepreneur, and motivational speaker who revolutionized the consumer household product market by launching the premium cleaning lines Caldrea and Mrs. Meyer's Clean Day. After beginning her career in marketing communications at Target Corporation as a speechwriter, editor, and publicist, she founded Kilter Incorporated, a Minneapolis-based agency serving major retail companies. Nassif's fearless approach to business has led her through four startups, resulting in major market-shifting successes and instructive flops alike. Since selling her company to SC Johnson in 2008, she continues to inspire founders with her insights on perseverance, retail savvy, and craftsmanship, which she shares in her book, I Bottled My Mother. What Brand Has Made Monica Smile Recently? A recent collaborative launch by Swatch and a high-end partner brought a smile to Monica's face. As a self-described product and branding geek, she loved seeing two old Swiss heritage names join forces to release a bold, colorful pocket watch format. For an entrepreneur who appreciates nostalgic craftsmanship, tracking the enduring success of mechanical watchmakers in a digital world served as a delightful reminder that consumers are always hungry for quality and tactile details. Resources & Links Connect with Monica on LinkedIn Check out her website. Listen & Support the Show Watch or listen on Apple Podcasts, Spotify, YouTube, Amazon/Audible, TuneIn, and iHeart. Rate and review on Apple Podcasts and Spotify to help others find the show. Share this episode — email a friend or colleague this episode. Sign up for my free Story Strategies newsletter for branding and storytelling tips. On Brand is a part of the Marketing Podcast Network. Until next week, I'll see you on the Internet! Learn more about your ad choices. Visit megaphone.fm/adchoices

Marketing and insights teams waste millions speaking different languages. Nataly Kelly and Steven Phillips, Zappi's CMO and Chief Innovation Officer, reveal the five breakthrough patterns that emerged from interviewing leaders at NFL, PepsiCo, Unilever, and Visa. They share Unilever's "100-hour consumer passport" rule, the CMO-CFO partnership framework that drives real business growth, and why AI's biggest win isn't productivity. It's freeing up time for human relationships that turn consumer truth into market advantage.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

It's the Season 4 finale of Dig In! On the final episode Jess Gaedeke revisits the most memorable moments from Season 4, featuring clips from conversations that explored everything from why getting into consumers' homes still changes everything, to how alligator farms unlock contact lens insights, to the agile innovation sprint behind Danone's GLP-1 product launch. We'll see you soon for Season 5. 

Show notes:This week on the podcast, I'm speaking to venue consultant and co-owner of The Barn at Pengelly, Wenna Hicks, about wedding venue success and how data-driven decisions can transform bookings and business growth.We explore Wenna's journey from corporate consulting into the wedding industry and how she applies strategic thinking, market research, and customer insights to improve venue performance. We also discuss pricing strategy, CRM systems, social media marketing, supplier relationships, and the importance of transparency in increasing wedding venue bookings.The Barn at Pengelly InstagramElevate venue consultancyTime stamps:00:02 - The Importance of Transparency in Venue Marketing01:44 - The Journey from Corporate Consulting to Wedding Venue Owner09:22 - The Journey to First Bookings14:17 - Challenges and Growth in Business Operations26:05 - Navigating Pricing Strategies in the Wedding Industry31:01 - Building Relationships with Suppliers34:55 - The Role of Social Media in Modern Marketing42:55 - Investing in Business Education and Networking47:36 - The Importance of Mindset in Business GrowthMentioned in this episode:The TikTok Pro Course is back this June!Has Tiktok been on your to do list for a while? Are you scared of the platform, or just using it as a place to reshare Instagram videos? TikTok and Instagram are not the same. This June our much loved LIVE TikTok course is back, so take a look and join in.TikTok Pro

In this episode of Backstory on Marketing and AI, we explore how AI and Marketing are transforming campaign optimization, analytics, and creative strategy. The discussion covers how AI enabled Market Research helps marketers uncover insights faster, improve ad performance, and make smarter business decisions through real-time analysis.Learn how AI tools are helping marketing teams automate reporting, optimize creative performance, and build custom analytics solutions without deep coding experience. The episode also examines the future of media buying, the growing connection between creativity and analytics, and why human judgment and “taste” still matter in an AI-driven world.Discover how marketers can use AI to improve testing, uncover winning creative patterns, and scale campaigns more efficiently while reducing costs. This conversation provides valuable insights for marketers, analysts, creatives, and business leaders looking to better understand the future of AI-powered marketing.

Bonjour! On this week's episode, host Jess Gaedeke is joined by Julien Naggar, SVP of Client Partnerships at Dig Insights, to explore why ethnographic research surfaces the consumer truths that surveys will never capture, how the insights function is evolving from data aggregator to strategic decision influencer, and what French consumer culture can teach global brands about empathy, sustainability, and human connection. Aurevoir! 

In this episode of Backstory on Marketing and AI, we discuss the future of digital advertising, consumer privacy, and AI enabled Market Research.The conversation explores how marketers use AI-driven targeting, consumer identity systems, and personalization tools to improve advertising performance.We also discuss:AI and Marketing trendsConsumer privacy challengesCookie consent fatiguePersonalized advertisingGDPR and CPRA regulationsAI enabled Market ResearchLookalike audience targetingThe future of chatbot advertisingConsumer data ownershipAd tech innovationThis episode explains why trust and transparency are becoming essential for modern marketers.You will also learn how AI can help brands optimize campaigns while improving customer experiences.The discussion highlights how consumers may gain more control over how companies use their personal data.This is a must-watch episode for marketers, advertisers, business leaders, and technology professionals.

Most brands treat AI like a data processor, but Christian Niederauer uses it to ask deeper human questions. As Vice President of Global Insights at Colgate-Palmolive, Christian leads consumer research across 200+ countries and transforms how AI reveals what people actually need, not just what they buy. He shares his "people-centric AI" framework that moves beyond traditional consumer segmentation to understand humans holistically, his "machine insights" methodology for optimizing content in an agentic commerce world, and practical strategies for democratizing insights while maintaining quality control across global markets.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 The Backstory on Marketing and AI, we explore how AI and Marketing are changing the way enterprise companies approach growth, analytics, and customer intelligence. The conversation dives into how organizations are using AI enabled Market Research, workflow automation, and natural language analytics to improve decision-making and create measurable business outcomes.The discussion also breaks down one of the biggest misconceptions around AI adoption. Productivity gains alone do not create ROI. Real ROI comes from revenue growth, cost optimization, and reduced business risk. You'll hear practical examples of how enterprise teams are automating marketing campaigns, improving customer insights, and using AI to surface intelligence faster than traditional reporting systems.The episode also covers AI governance, trust, data privacy, and the future skills marketers will need in the AI era. If you work in marketing, sales, analytics, or business leadership, this conversation offers valuable real-world insights into scaling AI successfully.

Key performance indicators (KPI) are playing an increasingly important role in the tourism industry. Key performance indicators can help sustain success, identify weaknesses, and minimize risks. This applies not only to business processes but also to issues such as sustainability, overtourism, and social integration. Martin Jahrfeld talks with Jannik Müller (Head of Market Research, Tourist Association of North Rhine-Westphalia) and Kai Partale (Senior Managing Partner, benchmark services) about strategies and opportunities in the use of KPIs.

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use. In this episode, Elena and Rob dig into how branding strategy shapes consumer buying behavior and why the strategy you choose matters less than how consistently you execute it. Topics covered:[01:20] "Impact of Branding Strategy on Consumer Buying Behavior"[02:50] Why branding does the heavy lifting for fast-moving consumer goods[03:15] Four branding strategies: corporate, multi-brand, sub-brand and mono[05:20] When a house of brands beats a branded house[07:00] Commitment over perfection: why execution determines brand powerTo learn more, visit marketingarchitects.com/podcast Resources: Singh, Balgopal (2013), “Impact of Branding Strategy on Consumer Buying Behavior.”Research Journal of Arts, Management & Social Sciences, March 2013 Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

DescriptionPicture a marketing world flipped upside down: Where heavy buyers aren't your golden goose, where loyalty programs might be missing the point, and where the brands you think are exceptional actually follow surprisingly predictable patterns. Dr. Nicole Hartnett, senior marketing scientist at the world-renowned Ehrenberg-Bass Institute, joins Marc and V to demolish some of marketing's most sacred assumptions with cold, hard data.The Ehrenberg-Bass Institute is the world's largest centre for research into marketing and Dr. Nicole Hartnett has won the Market Research Society (MRS) Award for the best paper published by the International Journal of Market Research in 2022. Her groundbreaking research "When Brands Go Dark" analyzed 365 US brands from 22 consumer goods categories that stopped advertising for at least one year, revealing that brands experienced average sales declines of 16% after the first year, 25% after two years, and 36% after three years.In this episode, you'll hear Nicole explain why most customer bases are dominated by light buyers who contribute roughly 40-50% of sales, how the Double Jeopardy law proves that big brands don't just have more customers but also slightly more loyal ones, and why mental and physical availability matter more than differentiation. She breaks down the difference between repertoire and subscription markets, reveals why advertising effects are "spread out really thinly over time" like "hitting them with a feather," and shares the surprising patterns that hold true across everything from coffee purchases to B2B software.This isn't theoretical—it's the kind of evidence-based marketing science that's transformed how the world's biggest brands actually grow, backed by decades of empirical research that challenges everything you thought you knew about customer loyalty and brand building.Timestamps00:00: Welcome and introducing Dr. Nicole Hartnett from Ehrenberg-Bass Institute03:04: Defining repertoire vs subscription markets and loyalty patterns08:40: The Double Jeopardy law explained - why smaller brands suffer twice16:16: Light vs heavy buyers - who really drives brand growth?26:50: Mental and physical availability as growth drivers29:30: Reach vs frequency - the advertising convex response function36:45: "When Brands Go Dark" research findings on advertising cessation46:00: What makes great advertising - Old Spice campaign breakdown54:12: Distinctive assets and brand identity management systemsReferencesPrimary SourceHartnett, N., Gelzinis, A., Beal, V., Kennedy, R., & Sharp, B. (2021). When brands go dark: Examining sales trends when brands stop broad-reach advertising for long periods. Journal of Advertising Research, 61(3), 247-259.Referenced Frameworks / ResearchSharp, B. (2010). How Brands Grow: What marketers don't know. Oxford University Press.Sharp, B., & Romaniuk, J. (2021). How Brands Grow Part 2. Oxford University Press.Romaniuk, J. Building Distinctive Brand Assets. Oxford University Press.Sharp, B. (2018). Marketing: Theory, Evidence, Practice (2nd ed.). Oxford University Press.Referenced in DiscussionPhua, P., Hartnett, N., Beal, V., Trinh, G., & Kennedy, R. (2023). When Brands Go Dark: A Replication and Extension: Examining Market Share of Brands That Stop Advertising for a Year or Longer. Journal of Advertising Research, 63(2), 172-184.Nicole on LinkedIn https://www.linkedin.com/in/nicole-hartnett/

Learn the roadmap first-time inventors need to turn physical product ideas into market-ready businesses. From feasibility studies to manufacturing setup, we examine why 42% of startups fail and how to beat those odds with strategic planning and expert guidance. Learn more at https://www.rabbitproductdesign.com/about-us Rabbit Product Design City: Palo Alto Address: 2100 Geng Rd Ste 210 Website: https://www.rabbitproductdesign.com/

Most brands lose relevance one price-led campaign at a time. Carolyn Pollock, former CMO of Tailored Brands and advisor to CEOs, transformed iconic menswear brands by reconnecting with consumer truth rather than chasing discounts. She reveals her "Love the way you look" strategy that rebuilt emotional brand equity, her framework for turning finance leaders into marketing allies through shared assumptions and documented models, and why the future belongs to AI-augmented generalists who provide strategic context across the entire marketing mix.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use. In this episode, Elena and Rob explore what happens when a brand disappears, and which competitors stand to gain the most when a brand gets permanently pulled from the market. Topics covered:[01:45] "Filling the Void: How Competing Brands Can Capitalize on a Brand Deletion"[02:20] Why brands get deleted and how often it happens[04:00] Who actually benefits when a brand disappears?[05:30] The highest-return move competitors can make[07:10] When raising prices backfires[08:20] What manufacturers should stress-test before deleting a brandTo learn more, visit marketingarchitects.com/podcast Resources: Keller, Kristopher O., and Harald J. van Heerde (2026), "Filling the Void: How Competing Brands Can Capitalize on a Brand Deletion." Working paper, University of North Carolina at Chapel Hill and University of New South Wales. Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

This episode explores the evolving world of AI and Marketing.Learn how AI enabled Market Research helps businesses grow faster and smarter.Key takeaways include:Why mastering one AI tool improves resultsHow to build a memorable personal brandAI-driven prospecting strategies that stand outAligning sales and marketing using automationThe importance of consistent AI learningThis discussion highlights practical strategies for small businesses and marketers.You will also learn how to avoid overwhelm and focus on what works.AI is not just a tool. It is a competitive advantage.

If you are creating content but not learning from it, you are leaving money on the table. Every post you publish is a question you are asking your market, and the answers are already there if you know where to look.In this episode, Oliver Bruce breaks down why content is the most powerful and most overlooked form of market research available to entrepreneurs today. He explains why most founders get stuck chasing perfection instead of publishing, why your audience's attention is more honest than any survey, and how a simple weekly rhythm can turn raw content into a data engine that compounds over time. It is honest, practical and built for founders who are ready to stop overthinking and start posting.Oliver shares the Start with Ugly framework, a three-step method for getting past the perfectionist mindset that keeps most entrepreneurs invisible. He also introduces the 70% Rule and a four-metric content scorecard that turns every post into a measurable experiment.Key topics covered: Why every piece of content is a question you are asking your market The difference between ego questions and business questions Why rough, unpolished content regularly outperforms high-production video The Start with Ugly framework and why your first 50 posts are tuition How to record like you are talking to one person, not an audience The 70% Rule and why perfectionism is just fear in a nice outfit The four-metric content scorecard: attention, retention, action, conversion A simple weekly review rhythm to turn content into compounding data Key takeaway: The willingness to be ugly beats talent that stays hidden every single time. Sponsored by Incard — Sponsored by Incard. Sign up now. All your finances. One platform.More Value:Follow on YouTube for deep-dives & video episodes: www.youtube.com/@TheUnlockOliverBruceNeed a 1-2-1 with Oliver or want to be on the show, visit: www.oliverbruce.co.ukRead more information on key points in Oliver's newsletter: The Brucey Bonus newsletterFollow The Unlock & Oliver's socials:LinkedIn | TikTok | YouTube | Instagram | Apple Podcast | Spotify podcast

The fastest way to transition from one industry to another is to embody the identity of someone in your desired field. In this episode, I share two easy steps that you can take to transition from entrepreneurship to corporate life. These can be used by anyone who is looking to transition from one industry to another. Tune in for concrete examples of why and how you can embody your new identity, and how to grow your network in your chosen field.  If you're ready to pivot into a new industry, this episode is for you!  NEW RESOURCE ALERT!  In honor of Financial Literacy Month, I am bringing back one of my most impactful trainings: Get a Raise in Any Economy.  This training will show you the exact steps you need to take to understand how companies determine salary and what you need to do in order to maximize your salary.  Get instant access via thefirstgencoach.com/freetraining 6-Month 1:1 Coaching: https://calendly.com/thefirstgencoach/discovery-call Apply for On-Air Coaching: https://forms.gle/JshV6Z6TfUw6BBnk6 Download your⁠⁠⁠⁠⁠⁠ ⁠FREE Resume Guide and Template⁠⁠⁠⁠⁠⁠⁠ Follow @⁠⁠⁠⁠⁠⁠⁠CarlaTheFirstGenCoach⁠⁠⁠⁠⁠⁠⁠ on Instagram Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI and Marketing are transforming digital ecosystems. This episode explores zero-click search and declining traffic. Learn how AI enabled Market Research is changing decisions. Discover the importance of vector-ready content. Understand how AI models interpret and rank information.Explore how brands can stay visible in AI-driven environments.Key topics include:Zero-click search impactDeclining publisher trafficVectorization explainedAI content strategiesData quality is more important than ever. Strong datasets reduce hallucinations and improve accuracy. The future will involve AI agents working for users and brands.

Frozen food faces a massive perception problem that's costing brands billions. Alex Hardy, Consumer Insight & Analytics Director at Nomad Foods, bridges this gap by transforming misconceptions into market opportunities across 25 European markets. He reveals how demand space frameworks uncover universal meal occasions that transcend cultural boundaries, why AI experimentation requires a "problem-first" mindset rather than technology-led solutions, and how building genuine partnerships with marketing teams creates the foundation for turning consumer truth into business growth.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, Marc and Vassilis explore the invisible mental models that shape marketing decisions, questioning long-held beliefs such as the funnel model, the five times customer acquisition myth, and the effectiveness of purpose-driven marketing. They discuss the cashflow funnel as a more accurate representation of customer journeys and emphasize the importance of mental availability in driving growth. The conversation highlights the disconnect between customer satisfaction and revenue, urging marketers to adopt better models for understanding and measuring success.Enjoy the show!TakeawaysThe funnel model oversimplifies the customer journey.Customer behaviour is not linear; it's more complex.The cashflow funnel provides a better framework for understanding market dynamics.The five-times myth lacks solid evidence and can mislead marketing strategies.Purpose-driven marketing may not deliver the expected results.Customer loyalty is often a byproduct of brand size, not a cause of growth.Satisfaction scores do not correlate directly with revenue.Mental availability is crucial for brand success.Marketers need to challenge outdated paradigms and adopt new models.Organizational structures must evolve to support better marketing practices.Chapters00:00 - Introduction to the Invisible Hands of Marketing02:51 - The Funnel Fallacy: Rethinking Customer Journeys05:47 - The Cashflow Funnel: A New Perspective09:01 - Challenging the Five Times Myth12:09 - The Purpose-Driven Marketing Debate15:00 -The Loyalty Myth: Understanding Customer Retention17:53 - The Reality of Customer Satisfaction vs. Revenue21:07 - The Role of Mental Availability in Growth23:50 - Conclusion: Embracing Better Marketing ModelsCitationsBinet, L., & Field, P. (2013). The long and the short of it: Balancing short and long-term marketing strategies. Institute of Practitioners in Advertising.Dawes, J. G. (2024). The net promoter score: What should managers know? International Journal of Market Research, 66(1). https://doi.org/10.1177/14707853231195003Dawes, J. G. (2025). Examining the longitudinal association between positive and negative likelihood-to-recommend scores and brand growth. Australasian Marketing Journal. https://doi.org/10.1177/14413582241255388Edelman, D. C., & Singer, M. (2015). Competing on customer journeys. Harvard Business Review, 93(11), 88–100.Ehrenberg-Bass Institute for Marketing Science. (2025). Net Promoter Score (NPS) does not predict growth — it's fake science. University of South Australia. https://marketingscience.info/net-promoter-score-nps-does-not-predict-growth-its-fake-scienceGoogle/Shopper Sciences. (2011). ZMOT: Winning the zero moment of truth. Google. https://www.thinkwithgoogle.com/marketing-strategies/micro-moments/2011-winning-zmot-ebook/Keiningham, T. L., Cooil, B., Andreassen, T. W., & Aksoy, L. (2007). A longitudinal examination of net promoter and firm revenue growth. Journal of Marketing, 71(3), 39–51. https://doi.org/10.1509/jmkg.71.3.039Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press.Lombardo, J. (n.d.). The loyalty lie. LinkedIn B2B Institute. https://business.linkedin.com/advertise/resources/b2b-institute/b2b-research/trends/the-loyalty-lieMcKinsey & Company. (2009). The consumer decision journey. McKinsey Quarterly. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/the-consumer-decision-journeyReichheld, F. F. (1993). Loyalty-based management. Harvard Business Review, 71(2), 64–73.Reichheld, F. F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46–54.Ritson, M. (2023). The top 10 most bullshit ideas in marketing [Seminar presentation]. Marketing Week Mini MBA.Romaniuk, J., & Sharp, B. (2022). How brands grow part 2: Emerging markets, services, durables, new and luxury brands (2nd ed.). Oxford University Press.Sharp, B. (2010). How brands grow: What marketers don't know. Oxford University Press.Sharp, B., Wright, M., & Goodhardt, G. (2002). Purchase loyalty is polarised into either repertoire or subscription patterns. Australasian Marketing Journal, 10(3), 7–20.Sinek, S. (2009). Start with why: How great leaders inspire everyone to take action. Portfolio.St. Elmo Lewis, E. (1898). Side talks about advertising. The Western Druggist, 20, 65–66.Vakratsas, D., & Ambler, T. (1999). How advertising works: What do we really know? Journal of Marketing, 63(1), 26–43.

“The technology we’re working with today really makes a lot of those best practices and mental models and the whole toolkit more accessible than ever to more people.” –Marshall Kirkpatrick About Marshall Kirkpatrick Marshall Kirkpatrick is founder of sustainabilty consultancy Earth Catalyst and AI thinking tool What's Up With That. His many previous roles include founder of influence network analysis tool Little Bird, which was acquired by Sprinklr, where he was last Vice President Market Research. Website: whatsupwiththat.app LinkedIn Profile: Marshall Kirkpatrick What you will learn How generative AI transforms cognitive tools and lowers barriers to advanced thinking Techniques to combine human and AI-powered sensemaking for richer insights Practical strategies for filtering and extracting value from infinite information The importance and application of diverse mental models in modern decision-making Methods to balance manual cognitive work with AI assistance for optimal outcomes The role of adaptive interfaces in enhancing individual cognitive capacity Metacognitive approaches to networks and how AI can foster organizational awareness Ethical and societal implications of democratizing access to AI-powered cognitive enhancements Episode Resources Transcript Ross Dawson: Marshall, it is awesome to have you back on the show. Marshall Kirkpatrick: Oh, thank you, Ross. It’s such a pleasure to be reconnecting with you here. Thanks for having me on. Ross Dawson: So back you were very, very early on in the podcast when it was Thriving on Overload, and it was interviews with the book, and you got incorporated—some of the wonderful things you were doing in Thriving on Overload. So I think today, in this world of generative AI, which has transformed everything, including the way in which we think, the Thriving on Overload themes are still super, super relevant, and in a way, we need to be talking about them more. That theme at the time was finite cognition, infinite information. How do we work well with it? I don’t know if our cognition has become more finite, but the information has become more infinite, and there’s just more and more. But also, it cuts two ways, as in, what is the source of all the information? AI is also a tool. So anyway, let’s segue from some of your cognitive thinking tools, technology-enabled cognitive thinking tools and so on, which we looked at. So how do you—where are we? 2026, what do you think about human cognition in our current universe? Marshall Kirkpatrick: Well, especially when you frame it up in Thriving on Overload terms. I mean, those were four, five long years ago that we last spoke, and the book that came out of it was just fantastic. I think it has some timeless qualities, and I think that the technology we’re working with today really makes a lot of those best practices and mental models and the whole toolkit more accessible than ever to more people. That’s what I hope. I think that, yeah, between individuals and organizations, there’s so much that, historically, someone like you or me or the people closest in our networks were willing and able to do and excited to do, that many other people said, “That sounds like a lot of work.” The bar is lower now, because a lot of just the raw cognitive processing can be outsourced into a technology that serves as a lever. Ross Dawson: Well, I mean, that idea of levers for these cognitive tools is interesting. I guess, the very crude way of saying it is, we’ve got inputs into our human brain, and then we are processing information. I’m just thinking out loud a bit here, but it’s like, okay, we have tools to be able to filter, to present, to find what is most relevant, to present it to us in the ways which are most useful—very obvious, like summarization, visualization. Then as we are processing it ourselves, we have dialog, or we can have interlocutors who we can engage with and be able to refine and help our thinking. Does that sort of make sense, or how would you flesh that out? Marshall Kirkpatrick: Yeah, I mean, when you put it that way, it makes me think about Harold Jarche and his Seek, Sense, Share model, right? I think that AI, especially when connected to things like search and syndication and other traditional technologies, can impact all three of those stages. It can hypercharge our search. I think the archetypal example of that, on some level, feels like the combinatorial drug research being done, where just an otherwise cognitively uncontainable quantity of combinatorial possibilities between molecules can be sought out and experimented with for a desirable reaction. And then that sensing, or the pattern recognition that AI is so good at, is something that we do as humans—some of us better than others—and it’s a lifelong muscle to build and what have you. But the AI is really, really good at it, and so it’s a ladder to climb up in some of that sensing. And then the sharing component becomes so much easier with the rewriting capabilities—turn A into B, reformat something into a summary or a set of bullet points, or ideas and words into code. AI is just so excellent for that translation that makes new levels of sharing possible. Ross Dawson: That’s fantastic. Yeah, I had Harold on the show again in the Thriving on Overload days. But you’re right, that’s extremely relevant. Let’s dig into that. I love that you brought up that combinatorial search, which is so important. As opposed to going into Perplexity to do a search, it’s far more interesting to find the uncovered connections between things, which are relevant to what you’re doing. And that’s— Marshall Kirkpatrick: Absolutely. I remember reading, years ago, Dan Pink’s book “A Whole New Mind,” which preceded the generative AI era. But he said, if your kind of work is something that’s easily reproducible by computers, good luck to you. You really are going to need uniquely human practices in the future, and what exactly those are, I’m not sure, because the one that he identified, I don’t think has proven to be uniquely human. But I really appreciated learning about it from him, and that was what he called symphonic thinking, or the ability to draw connections between seemingly unconnected phenomena. So for many years, I have been doing a personal exercise with pen and paper that I call triangle thinking, where I’ll take three different phenomena—maybe that’s the owl outside my window, one of the notes that I’ve taken on paper, and something I come upon on the internet, or maybe it’s three very deliberately related things. I label them A, B, and C, and I ask, what might A have to say about B? What might B offer to A, and vice versa? I write out the six unidirectional connections between those things. And without fail, one, two, or three of those end up being real keepers, where I say, “Aha, that’s a really interesting idea. I’m going to take action on that.” And now, by the time I’ve got the letter B written out, an AI has done that ten times over. I like to do it both ways—still both AI and with my naked brain—but that combinatorial ideation, the generative combinatorial ideation, is, yeah. I’m curious what your thoughts and experience and hope for that might be. Ross Dawson: Well, there’s a prompt I use called “Apply Diverse Thinking,” where it generates extremely diverse perspectives on a topic—who might those very unusual people to think about something be, and then what would they think about this particular situation? Of course, there are a whole array of different thinking tools. There’s Marshall McLuhan’s tetrad, which is a little bit similar to your thing where, again, you can and should do it—well, not manually. What’s the manual equivalent of brain? Marshall Kirkpatrick: Thoughtfully, perhaps. Yeah, good one—deliberately, manually. I mean, Azeem Azhar over at Exponential View uses a fountain pen and paper and will sometimes have his team come online and they’ll do two-hour thinking sessions with no AI allowed. They just get on, I believe, Zoom, and just think through things with pen and paper, individually and together. And then they’ll kick off OpenAI or what have you, and use all the tools afterwards. Ross Dawson: Yeah, well, a couple of things. Actually, research has shown that in brainstorming, it is better for everyone to ideate individually before doing it collectively. And of course, that’s unaided. I think there are analogs there where—actually, one of the frameworks I just released last week was basically to say, think it through for yourself before you ask the AI, because then you have a reference point. If not, you don’t have a reference point to say, “Well, what am I expecting it to do? Let me think it through for myself,” even if it’s just a little bit, as opposed to just going in blank—”All right, give me an answer.” Just that simple thing of thinking through for yourself first is enormous. What it does is, obviously, give you a reference point for that. And I’m going on a lot about appropriate trust at the moment—as in, trust the AI enough, but not too much, which I think is absolutely critical capability. And part of it is being able to say, “Well, this is what I think it should be giving me.” Now you have a reference point for what it gives you. Marshall Kirkpatrick: Yeah, that sounds great in many cases. I do think that’s the right tool for the job in a lot of places, but not necessarily all. I’m thinking of the Iron Triangle of product management—fast, cheap, good, pick two. On some level, just handing the AI the keys for certain decisions is uniquely fast and cheap, right? And maybe it’s good enough. Ross Dawson: Oh yeah. Well, you’ve got to choose your battles, because if you’re now doing ten times what you were doing last week, then maybe for a tenth of those you can do some thinking before you delegate it to the AI. Marshall Kirkpatrick: Yeah, a strategy for how to do that. I think, well, that sounds important—some checkpoints along the way, some random selection of testing things. Ross Dawson: Well, that’s interesting. One of the critical things people talk about with AI model oversight is sampling. As they say, “Okay, I’ve got 1,000 outputs—I’m going to take 20 of them and check how good they are.” You’re not checking every output, but you’re doing some kind of ongoing sampling. Marshall Kirkpatrick: Are you checking with your own deliberate brain, or are you checking with another AI? Ross Dawson: It could be either, depends on the case—how critical it is. This comes back, of course, to the fact that accountability is only human, and so the human who is accountable has to make that decision: “All right, I’m happy for another AI to check it,” or, “Actually, I want to go in myself to see.” And that’s a judgment call. Marshall Kirkpatrick: Totally. And it feels like a process design issue and a personal accountability matter. I mean, “The AI made me do it” is not a viable excuse. Ross Dawson: Let’s hope it remains that way. So, good for those Seek, Sense, Share stages. Sense is one of your superpowers, both in the way you think and also the way you use the tools. It’s probably worth introducing—now you’ve just released this wonderful product called What’s Up With That. So just tell us about the product, but also, I want to go to the bigger context of sense—sensemaking, how we use it generally, how AI can use that, and your role with the tool in that. Marshall Kirkpatrick: Yeah, you know, I think there are so many different ways that sense can be made of anything, so many different ways that anything you read or think about or do can be put into context. It’s just overwhelming. I think we all have our favorite—not all of us, but those of us who are into this have our favorite tools, our favorite ways to—you know, a lot of people will think about something in terms of its past, its present, and its future, or they will break it down in analysis into parts, or they’ll synthesize it together with other phenomena and see how to understand. I think sometimes of the famous Donella Meadows quote, the mother of systems thinking, who said, “Systems thinking isn’t any better than analytical linear thinking than a telescope is better than a microscope.” So there’s just a superabundance of fascinating, powerful tools that all provide different views on anything we’re trying to make sense of. One of the things that I’ve always found a lot of joy and usefulness and power in is learning about new lenses and processes and tools. Now that generative AI has put the ability to develop software into my hands—instead of having to go and hire someone else to build that software—I have built a system that takes as many of those different models and lenses and processes for making sense of something as I can. I mean, it would be trivial to pull up a list of 200 mental models. I might go visit Shane Parrish’s website and The Knowledge Project. I think of ones that would be particularly useful, like, “Tell me who the intellectual predecessors are of this thing I’m reading,” or one of the other capabilities inside of What’s Up With That—my favorite, probably, is a combinatorial one called Fertile Edges. That says, “Take what I’m reading right now, identify the topic that it is a constituent of, and then find other adjacent topics where innovative people have built bridges between those adjacent topics and what I’m reading about, and tell me who those people are.” And that’s really fun. So I have built this sensemaking system, and that’s a part of What’s Up With That. There are really three parts to it. The first is, it analyzes whatever you’re reading or watching, and it pulls out the net new, truly novel, most notable elements. Yesterday, I was telling you, it was a little bit inspired by the US military intelligence guideline that says, when you’re writing up a report about something, focus on what’s new in that situation—tell us what we don’t already know. That’s the first thing that What’s Up With That does. It says, “All right, here’s what’s new in this document relative to its field,” because we just drew a real-time map of the state of the art, and we say, “Okay, here’s what’s really novel there.” The second thing that it does is that toolbox full of all the different mental models and lenses, and it recommends a sequence. One of my favorite books I ever read was “On Grand Strategy,” about strategic thinkers throughout history, who talks about the significance of thinking in terms of sequences of actions. So now, What’s Up With That will say, “Here’s a sequence of analytical lenses we recommend that you subject this document to,” and with a click, it’ll go and do that for you—it’ll do that cognition for you and then just give you a report. The third thing that it does is probably—it, the shorthand for it is compound learning. You don’t have to remember all the things that you read anymore, because our system extracts the causal claims from everything you read, archives them, and then compares everything you read in the future that you analyze with our system to your library of causal connections in the past, to say, “Whoa, we just found a chain of claims that could surface a multi-step risk or opportunity that’s relevant to your work.” We do that both for your data exhaust—your history of things you’ve analyzed—and we do persistent monitoring of the web to detect anything that could be relevant to a project or chain by that same kind of symphonic synthesis and connection. So those are the categories that it has. Ross Dawson: Yeah, I think you’re only scratching the surface of what your tool actually does, and obviously, more generally, these are just pointing in wonderful ways to how you can go beyond saying, “Tell me about this, ChatGPT,” to some far more nuanced ways of getting AI to do it. Marshall Kirkpatrick: People have had the same challenge with Google, historically. Google has struggled with that, to figure out—”I’m feeling lucky” was probably the first intervention in a novice, beginner’s mind, coming to a hyper-complex opportunity space. Even still, now, 20 years since Google launched, I feel like you can tell people that they can search for “site:domain keyword” to find instances of that keyword not in the web at large, just inside that specific domain, and most people don’t know that. It’s a simple power, and there’s a bunch of things like that. So figuring out how to unlock—and I don’t know how much they’ve even worried about it, because they’ve got that cash cow of advertising—but people don’t even recognize, sometimes, whether they’re clicking on an ad or a search result. In polls, when people are asked, they say, “No,” even if they put the ads at the top or mark them as ads, or a bunch of stuff they do do, but nobody notices. So that interface of complexity and accessibility and scale—we’re in it again here now, in this generative AI era. There’s so much more that could be done than is immediately obvious. It’s a real challenge. So I’ve taken the approach that I have, which is to roll up a bunch of that and turn them into buttons and recommend them automatically and try to recommend them just in time, and stuff like that. But I’m sure lots of different people are going to try to respond to that gap of simplicity and complexity in different ways. Ross Dawson: Yeah, that’s—which comes back, I think, a little bit to, you know, I firmly believe that the heart of the future is interfaces. We have these extraordinary capabilities—against finite cognition and infinite capabilities, let’s call them. That’s very much to the individual. The adaptive interface, I think, is going to be absolutely critical. All right, well, it’s after lunch and I’m not feeling so—the interface adapts to you. Marshall Kirkpatrick: So I heard you say that. Ross Dawson: The interface adapts again. Marshall Kirkpatrick: Right? I heard you say that in a conversation with Ramez Naam some time ago. I was listening to that interview that the two of you did together while I was playing hacky sack out in front of my house. I grabbed my hacky sack and I said, “I’ve got to go inside and do something about this idea of Ross—yes, interface variability.” In that case, I did a little experiment that I didn’t implement because I decided not to, but the general idea I want to pursue further, and I’ll tell you what that experiment was. One of the capabilities inside of What’s Up With That is that you can get a reading review synthesized, so that instead of just a list of links, you can get a narrative document exploring the themes, weaving together the last ten articles that you’ve read, and it’s easier to remember and to think about. I decided to hit the Nanonets API and have an image put up at the top that illustrated the themes. Now, maybe it’s just because I read a lot of dystopian AI, authoritarian politics type of stuff, but the images were terrifying, and they’re kind of expensive and slow, and they also look kind of repetitive. I was like, “All right, Ross, I haven’t cracked that nut quite yet in the variable interface, but I think you’re really on to something there.” Ross Dawson: I’ll try to work on that too, a little bit. So coming back to this wonderful thing we laid out, alluding to some of the wonderful ways we can use for really rich investigation of ideas and how to think. It comes back to this frame of mental models. All of us get our mental models from the moment we’re born—we get this understanding of the world, which is hopefully useful. Sometimes, some people’s mental models are not very effective in guiding them in how they work. Our role is to continue evolving, getting better. I call it enriching mental models. Back in my first book, I talked about that, and of course, that’s in the context of the world changing, so mental models can’t be static anyway. In a way, what you’re pointing to is the many, many ways in which we can, at one point, improve our mental models. All right, I understand this linear lineage of thinking, and I can see the strands between that, and these neurons are connecting in my brain in some form. But how can we pull to that bigger picture of all of this lattice of things to be able to say, “All right, I am actually thinking better through these interactions”? Marshall Kirkpatrick: You know, I think that there is a visceral sense—a sense of safety that can come sometimes when a new mental model illuminates a risk that you hadn’t considered before, and you breathe a sigh of relief and say, “Oh, thank goodness, I can now account for that.” And there’s an excitement with opportunity. There is something about a collective greater-than-individual opportunity here, because it’s tempting to—I’m not sure what that looks like, but I feel like there’s some social and interpersonal and network-based. One of the other things I do is build systems for network self-awareness, to build metacognitive network monitoring kinds of systems. I feel like there are mental models on that level as well. Ross Dawson: So I’ve got to dig into that—metacognitive network monitoring. Explain Marshall Kirkpatrick: Yeah. So every one of us, and our organizations, exists in a network of customers, suppliers, competitors, regulators, thought leaders, with orbits that extend out. The signals are strongest in the closest ones, and perhaps they are weaker and harder to hear, but really significant coming from outer orbits—even from other industries or other topics. It is overwhelming. It is cognitively uncontainable for any of us to keep up with all the work being done, all the thoughts being shared, all the new developments and opportunities from all the different entities that we’re interconnected with. One of the other offerings that I build for organizations is a system where I go out and map as many of those as possible with people. Those might be your target accounts you’re wanting to sell to, or your peers in a community of practice. Then I set up systems, basically using RSS, email newsletters, web page change notification—the technical underpinnings—to say, especially when organizations are—there are some forms of communication that organizations do naturally by default, and those tend to be speaking to their own customers. If you can listen to what organizations are saying to their own customers at scale, you can pull in a large quantity of signal, and then the challenge is to winnow that down into just the filtered signals that are most relevant to your priorities. I’ve got a system that uses AI to do that. Then there are combinatorial possibilities as well. I’ve started merging that in with What’s Up With That now, for example, where when we’re watching your broader network and a signal gets picked up on the back end, we’re generating hundreds of possible scenarios for that signal to intersect with your work and projects and priorities, and then we’re filtering to say, “Yeah, but tell me just the subset of these that are most significant and imminent and actionable and interesting.” If there’s something, then we will alert you and tell you what’s going on. Otherwise, you never hear from us, and you just go about your business. But a couple times a day, I get alerts. Yesterday I got an alert that said, “Hey, one of the founders of Manus, the AI platform that Meta just acquired for $2 billion, just got detained in China trying to go back to Singapore. Given your interests in AI and anti-authoritarian politics and the infrastructure battles around AI, we thought you might want to know about this.” I said, “Thanks, What’s Up With That, I really appreciate it.” That’s an example of the sort of thing—so that’s how I do it. Other customers will take that and use it to populate a podcast or a newsletter, and do both an intake and an output as a conduit of that kind of network self-awareness. Ross Dawson: Yeah, well, as you know, my kind of—my metacognition is my mantra. I think one of the key points is this simple question: How can AI assist me in getting to a point of metacognition? I would argue, if we use AI even vaguely well, it’s already doing that, because you’re saying, “Okay, well, let me think about what I can do and what the AI can do,” and you’re starting to think of that system. The only thing that enables this humans plus AI is metacognition, because you can actually see above and see your role and the AI’s role. I think this broader question of saying, many of the things you’ve been talking about are how AI is helping us to get to a point in metacognition. Marshall Kirkpatrick: Ross, can I ask you a question adjacent to that? I think I am not the only one who wants to know, perhaps—and maybe this is a trade secret, I don’t know—but how you think about your analysis and sharing of scientific research papers online? You’re so good at that, and you do a lot of it, and it’s really valuable. It comes to my mind when you talk about metacognition—what role does that function, what are you doing there, what role do you see that playing in this bigger conversation? Ross Dawson: Well, I’ll just tell you the mechanics of it, which might partly answer your question. I go into, often, three or four of the AI engines, including Grok, actually, because it’s very good at search. I say, “Tell me the most interesting research papers in the last few weeks,” whatever—on, I might say, human-AI collaboration or AI and strategy, whatever it might be, just different frames. Then I go and look at them. To be frank, I probably should do some more filtering with AI and tell them, “Only from reputable authors,” etc., because I have to just look at a lot of stuff, but that’s useful in its own right. Then I start to see, okay, this is a paper which is not only interesting, but actually would be useful to summarize for other people. I do a lot of surfacing—a lot. I’m very quick at scanning, so that’s just a mental process. At that point, when I found the paper, I’ve got a Gemini gem and an OpenAI GPT, both of which I call Insight Distiller. Basically, I stick the paper in there, it comes out, and I always rewrite it. I will either prompt the AI to improve it in various ways, and then always just rewrite or choose which of the points I put in, and so on. So there’s actually a fairly manual process, but very, very AI-assisted. To your point, there’s so much extraordinary research going on, and people don’t look at it. The function, I think, is what you’re alluding to—it’s just like saying, “This is the essence of a paper, and you can read it in a few minutes and get some really good insights, and hopefully that will inspire you to go have a proper look at the paper, because there’s a lot more in there.” To myself, of course, going through all that is enormous and valuable to me, but it’s useful to others too. Marshall Kirkpatrick: Absolutely, wow. That is a high-touch. That’s great. I bet you really have a lot of compounding learning as a result of it. Ross Dawson: Yeah, it’s kind of this thing where, just the nature of how my brain works and my immersion in stuff, I think it somehow gets me to some decent understanding of what’s going on. So to round out, what’s the next phase? I think this is an extraordinary time, but in the frame of what we’re talking about—AI and cognition—from your perspective, or just the world’s perspective, where do we go from here? Marshall Kirkpatrick: Well, I think that it comes down, in part, to values. I can’t help but think about this K-shaped future that we risk moving towards, where some people are using all kinds of augmented capabilities and building on top of past experience and education and what have you, and income inequality just gets more and more intense. The gap between people who are excited about this stuff and can use it, and everyone else, just gets all the bigger. That’s not good for anybody. I really hope that isn’t the case. I’d love to get the J of exponential change without too much of the K of increasing inequality. I think that’s the direction we’re pointed in, but I do hope that we can democratize access to a lot of these capabilities and figure out how to use them in partnership with other ways of thinking—like Azeem and his team, writing on paper, like some of the indigenous traditional knowledge practices around the world that are very place-based and around ecosystem balance and recognizing humans as a part of nature, working with AI and technologies. I’d love to see this be an additive experience, more than a destructive experience for humanity and the rest of the planet. Ross Dawson: Yeah and that’s why you and I both working on is doing whatever we can to nudge things in those directions. So where can people go to find out more about your wonderful work? Marshall Kirkpatrick: Well, these days, I am pointing people mostly to whatsupwiththat.app. That’s kind of my home these days for all the different work. Ross Dawson: I’ll recommend it. Marshall Kirkpatrick: Oh, thank you so much, Ross. Ross Dawson: Very useful, and I’ve only just begun to use it so— Marshall Kirkpatrick: Awesome, well, let’s stick some of those papers in there and red team it and hit “Find Science” and get other scientific reviews of the claims in the paper, etc. Thanks—it’s so great to be back in touch with you here and not just watch from a distance, but to get to put our heads together like this is a real pleasure. Ross Dawson: Thanks so much, Marshall. The post Marshall Kirkpatrick on cognitive levers, combinatorial possibilities, symphonic thinking, and compound learning (AC Ep39) appeared first on Humans + AI.

Sources Sought notices are one of the most powerful — and most overlooked — tools in a small business government contractor's arsenal. In this episode, Eric Coffey breaks down exactly what sources sought, market research, and RFIs are, why they're critical to your govcon strategy, and how to use them to get your name in front of contracting officers before the competition even knows an opportunity exists. What you'll learn in this episode:

As we head into planting, one thing is top of mind for everyone in agriculture—the economy.   What's really driving the markets, and what's the outlook as we head into the field? In this episode, Mike Howell sits down with Nutrien Chief Economist and Head of Market Research, Jason Newton, to help break down what's happening today.   From recent movement in crop prices to global supply and demand, they dig into the factors shaping today's market environment and explore how small shifts can make an impact throughout the growing season.   They discuss the current state of fertilizer markets, from global urea supplies and prices to phosphate demand and supplies, and how ongoing conflicts in the Middle East are impacting natural gas prices and input markets.   Looking for the latest in crop nutrition research? Visit nutrien-ekonomics.com   Subscribe to our YouTube channel: https://www.youtube.com/@NutrieneKonomics

Most meal kit companies struggle with turning trial customers into loyal subscribers. Patrick Roney, Customer Insights & Analytics Lead at HelloFresh, bridges marketing strategy with behavioral data to solve this exact challenge, having previously applied similar approaches at McDonald's and Burger King. He reveals HelloFresh's "bigger, healthier, tastier" framework that doubled recipe variety from 50 to 100 options weekly, explains why emotional connection beats functional benefits for lasting loyalty, and shares the three-part formula for creating customer experiences competitors can't replicate.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome back to Intellicast! On this special episode of Intellicast, Brian and Gabby are joined by Konovo's CEO, Tal Rosenberg, and the President and Founder of Rare Patient Voice, Wes Michael. They join the podcast to provide details around Konovo's recent acquisition of Rare Patient Voice, and what it means for healthcare research. Kicking off the interview, Tal and Wes provide background on their respective organizations and how they evolved over time. Rare Patient Voice was built on the idea of giving patients, particularly those with rare conditions, a platform to share their experiences, while Konovo has focused on helping researchers more effectively find and engage specialized audiences across healthcare. The conversation then shifts to the acquisition itself and the rationale behind it. Tal explains that the goal is not simply to combine companies, but to build a more integrated approach to research, one that brings together both the patient and healthcare provider perspectives in a more seamless way. The ability to access both audiences within a single ecosystem reflects a broader trend in healthcare research, where understanding multiple viewpoints is becoming increasingly important. Wes adds that alignment in values played a significant role in the decision. With a shared focus on patient-first research, quality, and long-term relationships, both organizations saw an opportunity to expand their capabilities without compromising what made each successful on its own. The two also explore how the combined organization plans to evolve. While Rare Patient Voice will maintain its existing approach in the near term, the integration of Konovo's technology and infrastructure is expected to enhance speed, scale, and operational efficiency. A key theme throughout the interview is the importance of maintaining trust. Wes emphasizes that preserving the experience and expectations of patient participants is critical, while Tal highlights the need to scale responsibly as the organization grows. Both note that while new tools and technologies will play a role, they must be implemented in a way that supports, not disrupts, the core mission. In the final segment, the group reflects on what comes next, including opportunities for expansion, deeper integration, and continued investment in both technology and audience development.  You can learn more about Konovo by visiting their website: https://konovo.com/ You can learn more about Rare Patient Voice by visiting their website: https://rarepatientvoice.com/ You can also connect with Tal and Wes on LinkedIn here: Tal: https://www.linkedin.com/in/talrosenberg/ Wes: https://www.linkedin.com/in/wesmichael/ Thanks for tuning in! We've launched our new whitepaper, The Fraud Detection Reality Check. Get your copy and find out why relying on a single fraud detection tool is a mistake. Download here: https://content.emi-rs.com/fraud-detection-report   Did you miss one of our webinars or want to get some of our whitepapers and reports? You can find it all on our Resources page on our website here: https://emi-rs.com/resources/  Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode of The Backstory on Marketing and AI explores the future of SEO in an AI first world. The conversation focuses on what brands must do to stay visible as search behavior changes.Topics include:• How AI and Marketing are reshaping search strategy• Why organic ranking still matters for AI visibility• How structured content improves AI understanding• Why schema supports better search interpretation• How author credibility influences AI citations• What Answer Engine Optimization means for brands• Why traffic changes do not always mean fewer conversions• How marketers can build trust instead of gaming the systemThis episode is especially useful for marketers, SEO professionals, founders, and content teams. It offers practical advice that can be applied now.You will also hear why AI enabled Market Research and credibility signals are becoming more important across digital channels. The discussion connects search visibility, expertise, and business growth in a clear way.

Episode 261: What if you could use AI-generated customer twins to test value propositions, pricing, and demand before you go to market? That is the idea my Bain colleague Andy Pierce is exploring. Synthetic customers can help teams move faster, pressure test offers, and simulate trade-offs much faster and at far lower cost than traditional research alone. Says Andy, "You can do things at half the time and a third the cost. You can be a hero internally by helping your business functions get to success better, faster, cheaper." But synthetic customers can also mislead you if you treat them like magic. Left ungrounded, large language models tend to be overly positive, can drift over time, and may reflect bad data rather than real human behavior.  To put theory into practice, we'll explore a 24-month telco case study that ran in parallel with a synthetic panel and hit ~85% overlap with human survey responses after confronting both bias and brown-nosing behavior. Guest: Andy Pierce, Partner, Bain & Company Host: Rob Markey, Partner, Bain & Company Give Us Feedback: Help us improve the podcast here: https://bit.ly/CCPodcastFeedback Time-Stamped Topics: 00:00 — Value proposition basics and the design target question 00:05 — Pricing as the most natural lever and why finance often doubts research 00:09 — Early LLM experiments 00:10 — Telco case study 00:12 — Over-positivity and tuning to an ~85% survey overlap 00:14 — Quarter-by-quarter improvement 00:35 — Rational vs. experiential vs. emotional  Time-Stamped Quotes: [32:00] "We've already started to see a world where I can train an LLM on a new idea, develop a new value proposition—or an extension to an existing value proposition—and instead of trying to predict the research outcome, I'm trying to predict actual sales in the marketplace." [37:00] "It's not good enough to just create the persona … you still have to test against real humans." [38:00] "Synthetic customers are here to stay. It's not a fad. And clients are already using them to build a competitive advantage." Resources Referenced on Today's Show: Generative Agent Simulations of 1,000 People — https://arxiv.org/abs/2411.10109 Simulating Human Behavior with AI Agents — https://hai.stanford.edu/assets/files/hai-policy-brief-simulating-human-behavior-with-ai-agents.pdf How Synthetic Customers Bring Companies Closer to the Real Ones — https://www.bain.com/insights/how-synthetic-customers-bring-companies-closer-to-the-real-ones/ UXAgent: A System for Simulating Usability Testing of Web Design with LLM Agents — https://arxiv.org/html/2504.09407v2 The Rise of Synthetic Respondents in Market Research — https://nielseniq.com/global/en/insights/education/2024/the-rise-of-synthetic-respondents Synthetic Users: If, When, and How to Use AI-Generated "Research" — https://www.nngroup.com/articles/synthetic-users/ A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas — https://arxiv.org/html/2505.07850v1 Luxury in Transition: Securing Future Growth — https://www.bain.com/insights/luxury-in-transition-securing-future-growth/

Today's episode of the Punk CX podcast features a series of interviews that I conducted at Qualtrics' recent X4 event in Seattle and features conversations with Qualtrics executives at the event: Brad Anderson, President of Products, UX, Engineering & Security;Mark Hammond, SVP Core AI - starting at 14:59;Assaf Keren, SVP and Chief Security Officer - starting at 14:59; andAli Henriques, Executive Director of Market Research - starting at 59:19. We discuss the highlights and themes of the event, the experience gap, the future of AI, and what organisations should be considering, alongside topics such as the role of security and trust in customer experience and synthetic panels, also known as customer simulation models. There's a lot in there, so do check it out. This interview follows on from my recent interview – The enduring and evolving ‘craft' of customer support – Interview with Nick Francis – and is number 579 in the series of interviews with authors and business leaders who are doing great things, providing valuable insights, helping businesses innovate and delivering great service and experience to both their customers and their employees.

What if the biggest risk to your next global campaign isn't the market, but the months you'll spend waiting for research to tell you what the market wants? Agility requires not just moving quickly, but making high-confidence decisions at the speed of the market. It demands that our ability to learn and validate is no longer the primary bottleneck to our ability to act. We are in Seattle at the Qualtrics X4 Summit, and today,we're going to talk about how to overcome the speed to insights bottleneck. We'll explore a fundamental shift in market research, moving away from slow, traditional cycles and toward a world where synthetic data and AI can give us near-instantaneous insights, allowing us to simulate customer behavior and de-risk major decisions before they even launch. To help me discuss this topic, I'd like to welcome back to the show, Ali Henriques, Executive Director of Market Research at Qualtrics. About Ali Henriques Ali, a market research practitioner, leads research innovation for Qualtrics Edge, which comprises of AI-powered tools and solutions, wrapped in human-powered services. With nearly 2 decades of market research experience, Ali spearheads thought leadership for Edge, guiding the innovation pipeline for transformative research tools and supporting our legacy services business to deliver 10,000 projects per year. Ali Henriques on LinkedIn: https://www.linkedin.com/in/ali-henriques-2581683/ Resources Qualtrics: https://www.qualtrics.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

What if the biggest risk to your next global campaign isn't the market, but the months you'll spend waiting for research to tell you what the market wants?Agility requires not just moving quickly, but making high-confidence decisions at the speed of the market. It demands that our ability to learn and validate is no longer the primary bottleneck to our ability to act.We are in Seattle at the Qualtrics X4 Summit, and today,we're going to talk about how to overcome the speed to insights bottleneck. We'll explore a fundamental shift in market research, moving away from slow, traditional cycles and toward a world where synthetic data and AI can give us near-instantaneous insights, allowing us to simulate customer behavior and de-risk major decisions before they even launch.To help me discuss this topic, I'd like to welcome back to the show, Ali Henriques, Executive Director of Market Research at Qualtrics. About Ali Henriques Ali, a market research practitioner, leads research innovation for Qualtrics Edge, which comprises of AI-powered tools and solutions, wrapped in human-powered services. With nearly 2 decades of market research experience, Ali spearheads thought leadership for Edge, guiding the innovation pipeline for transformative research tools and supporting our legacy services business to deliver 10,000 projects per year. Ali Henriques on LinkedIn: https://www.linkedin.com/in/ali-henriques-2581683/ Resources Qualtrics: https://www.qualtrics.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

Guest: Lon Welsh Founder of Ironton Capital, Your Castle Real Estate, and First Alliance Title, with over 20 years of experience in commercial real estate. 0:33 - Discussion on current market conditions 1:16 - Lon Welsh's insights on seller strategies 2:04- Gino Barbaro talks about market cycles 3:04- Lon Welsh on historical market trends 5:12- Discussion on current events affecting multifamily 7:05 - Gino Barbaro on asset opportunities 8:06 - Lon Welsh on investment strategies 10:21 - Gino Barbaro on past investment experiences 11:13 - Lon Welsh on capital raising challenges 12:12 - Discussion on deal flow and capital availability 13:00 - Gino Barbaro on Federal Reserve policies 14:56 - Lon Welsh on market preferences 16:06 - Gino Barbaro on market challenges 18:30 - Discussion on single-family home legislation 21:02 - Gino Barbaro on market adjustments 22:07 - Lon Welsh on housing expectations 23:16 - Gino Barbaro on historical real estate challenges 24:29 - Discussion on market adaptability 25:52 - Gino Barbaro on learning from market cycles 26:31 - Lon Welsh on consumer sentiment 27:48 - Gino Barbaro on investment opportunities We're here to help create real estate entrepreneurs... About Jake & Gino: Jake & Gino are multifamily investors, operators, and owners who have created a vertically integrated real estate company. They control over $350M in assets under management. Connect with Jake & Gino here --> https://jakeandgino.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Real Estate Pros Podcast, Cody Crabb interviews Bill Faeth, a serial entrepreneur, former pro golfer, and real estate investor with a $24 million short-term rental portfolio. Bill shares his journey from startups, golf, and long-term rentals to building a thriving short-term rental business. He emphasizes the importance of treating real estate as a business, conducting deep market research, taking the "two extra steps" for competitive advantage, and creating a life plan to guide investment decisions and achieve financial freedom.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

In this episode, I go over the finer details on how to ask for a raise. These are the exact steps my client used to get a $15K raise this month, even after being in the same job for years. I cover logistics, such as when you should ask for a raise, what data you should have prepared from your day-to-day responsibilities, and what data you should get from other companies that are hiring for similar roles. I also cover the mindset that you need to ask for a raise, and I even share some of the affirmations that I've used when I've asked for raises in the past. Lastly, I explain how you can practice detachment while asking for a raise, and even give an example of how a former client recently asked for another raise and promotion while feeling calm, grounded, and fully detached from the outcome.  Reference Episodes 126. How to Know if You're Underpaid 6-Month 1:1 Coaching: https://calendly.com/thefirstgencoach/discovery-call Apply for On-Air Coaching: https://forms.gle/JshV6Z6TfUw6BBnk6 Download your⁠⁠⁠⁠⁠⁠ ⁠FREE Resume Guide and Template⁠⁠⁠⁠⁠⁠⁠ Follow @⁠⁠⁠⁠⁠⁠⁠CarlaTheFirstGenCoach⁠⁠⁠⁠⁠⁠⁠ on Instagram Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Marketing teams measure campaigns but miss the bigger picture of systematic effectiveness. Sorin Patilinet, Global Marketing Effectiveness Executive at PepsiCo, bridges engineering precision with marketing creativity to build scalable measurement systems that actually drive business growth. He reveals the Kaizen principle for iterative testing that changes one variable at a time, explains why ad wear-out is a marketer myth that wastes budgets, and shares how to align entire organizations around a single effectiveness metric that connects every decision to measurable outcomes.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

تواصل معانا وشاركنا افكارككثير من خطط التسويق تفشل لسبب بسيط: نبدأ بالكلام قبل أن نبدأ بالاستماع. في هذه الحلقة نأخذك إلى أساسيات أبحاث السوق وأبحاث التسويق بطريقة مباشرة، لأننا نرى أن أغلب الأخطاء لا تأتي من ضعف الإعلانات، بل من فهم ناقص للجمهور والسوق والمشكلة التي نحاول حلها.نتوقف عند نقطة يختلط فيها الأمر على كثيرين: ما الفرق بين Market Research وMarketing Research؟ نشرح كيف تركز أبحاث السوق على الصورة الكبيرة مثل شرائح العملاء، حجم السوق، سلوك الشراء، وتحليل المنافسين، بينما تركز أبحاث التسويق على تحسين التنفيذ مثل الرسائل الإعلانية، القنوات، وقياس الأداء. هذا التفريق ليس أكاديمياً، بل عملي جداً: يساعدك تعرف هل المشكلة في اختيار السوق من الأساس أم في طريقة العرض والتواصل.ثم نربط كل ذلك بواقع المشاريع الصغيرة والشركات العائلية حيث الموارد محدودة والقرار الخاطئ مكلف. نتكلم عن طرق بحث بسيطة يمكن تطبيقها بسرعة: مقابلات العملاء، استبيانات قصيرة، قراءة مراجعات المنافسين، وتجميع بيانات ثانوية من تقارير موثوقة. الهدف أن تتحول “الحدوس” إلى فرضيات قابلة للاختبار، وأن يتحول التسويق من مغامرة إلى عملية تعلم مستمرة تكشف فرصاً حقيقية.إذا كانت حملاتك لا تعطي نتائج أو تشعر أنك “تسوّق في الظلام”، استمع وابدأ بخطوة واحدة من البحث اليوم. اشترك في البودكاست، شارك الحلقة مع شخص يبني مشروعاً، واترك لنا تعليقاً: ما السؤال الأول الذي ستسأله لعملائك؟Support the showاستمتع بتجربة سماع بودكاست فريدة من خلال ابليكشن بزنس بالعربي واستفيد من محتوى اضافي وحصري في البزنس وتطوير ذات حمل تطبيق من بزنس بالعربي من خلال الرابط: https://m.mtrbio.com/BBA-Application رعاة بودكاست بزنس بالعربي:

A deep dive into the electrical construction market, revealing how the industry has grown to $170 billion and why electrical work now represents 30% of construction projects—up from just 10% two decades ago. We explore the impact of electrification, the explosion of low-voltage systems in hospitals and other buildings, and why the demand for electricians and electrical engineers has never been higher. Plus, a reminder on why caring about your team matters more than ever in this growing industry.Comment your thoughts below and don't forget to like, SHARE, and subscribe!Want an Engineering firm BUILT for Electrical Contractors? Let's see how we can help speed up your Design/Build projects. Visit https://verticaldesignservices.com/ Connect with Dillon MitchellLinkedIn - https://www.linkedin.com/in/dillon-mitchell-pe/Vertical Design Serviceshttps://www.instagram.com/vertical_designservices/#Revit #BIM #Automation #VerticalDesignServices #VDS #MEP #Contractors #Engineering #ElectricalContractor

In this episode of Construction Corner, host Dillon breaks down the right and wrong ways to use AI in business. While AI tools are everywhere, most people are using them for the wrong tasks—like writing generic emails or generating soulless responses that scream "bot." Instead, Dillon argues that AI's real power lies in strategic work: condensing weeks of market research into minutes, creating total addressable market analyses, plotting historical data trends, and automating time-consuming tasks like transcription and content scheduling. He emphasizes the 95/5 rule: let AI take you 95% of the way, then add your own voice, edits, and human touch for the final 5%. Drawing examples from yacht influencer Kevin's Instagram page and his own content workflow, Dillon makes it clear that AI should multiply your leverage and productivity—not replace your authenticity. Use it for the big strategic moves, not the bullshit busy work.Comment your thoughts below and don't forget to like, SHARE, and subscribe!Want an Engineering firm BUILT for Electrical Contractors? Let's see how we can help speed up your Design/Build projects. Visit https://verticaldesignservices.com/ Connect with Dillon MitchellLinkedIn - https://www.linkedin.com/in/dillon-mitchell-pe/Vertical Design Serviceshttps://www.instagram.com/vertical_designservices/#Revit #BIM #Automation #VerticalDesignServices #VDS #MEP #Contractors #Engineering #ElectricalContractor

Most insights teams still operate like order-takers, not strategic partners.Sinead Jefferies, SVP of Professional Services at Zappi and former Chair of the Market Research Society, bridges C-suite strategy with operational research excellence, transforming how organizations embed consumer truth into decision-making.You'll discover her "know your audience" framework for speaking the language of business leaders, the cultural shift from project-based to connected insights that changes how marketing perceives research, and why reading the room matters more than statistical significance when influencing senior stakeholders.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 Essential Ingredients, Justine Reichman speaks with Gita, founder of gutBFF, about the importance of gut health and plant diversity in our diets. They discuss Gita's personal journey with health challenges, the role of food in wellness, and the entrepreneurial challenges she faced while launching her product. The conversation also touches on sustainability, consumer trust, and the growing awareness of nutrition, particularly among women. Gita emphasizes the need for more accessible information and the potential of the digital age to influence healthy eating habits.   Takeaways Gut BFF aims to simplify plant diversity in diets. 30 different plants are needed weekly for optimal gut health. Plant diversity includes fruits, vegetables, nuts, and seeds. Small steps can lead to significant health improvements. Food can be a preventative measure against diseases. Women are increasingly aware of nutrition's role in health. The digital age provides access to valuable health information. Entrepreneurship requires grit and adaptability. Building consumer trust is essential for success. Sustainability and waste reduction are important in food production.   Sound bites "Food is the first line of defense." "Every bite better be good for your body." "Entrepreneurship is a grit game."   Chapters 00:00 Introduction to Gut Health and gutBFF 01:02 The Importance of Plant Diversity 05:19 Personal Journey and Health Transformation 08:37 The Role of Food in Health and Wellness 10:03 Women and Nutrition Awareness 12:06 Digital Age and Access to Information 14:35 Entrepreneurial Journey and Challenges 18:48 Market Research and Competitors 21:16 Global Perspectives on Food and Nutrition 25:42 Sustainability and Waste Reduction 29:41 Building Trust with Consumers 32:18 Advice for Aspiring Entrepreneurs

Most global brands fail at cultural relevance despite massive research investments. Katherine Melchior Ray, former CMO at Shiseido and marketing leader across Nike, Louis Vuitton, and Hyatt, bridges strategic vision with cultural intelligence gained from 12 years working abroad. She reveals the "freedom within a framework" approach that lets KitKat succeed in 14 countries, the cultural intelligence model that prevents costly missteps like Airbnb's China exit, and how trust-building requires shared values, honest communication, and consistent promise delivery across every market.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Innovator. Season One came out April of 2024 so Fallout just barely beats the "every two years" allegations by getting Season 2 out just before the new year. Red & Ivan emerge from their executive cryo chambers to talk Prime Video's Fallout. Also, check out Red & Maggie Tokuda-Hall's podcast, Failure to Adapt, available on Spotify, Apple Podcasts, or via RSS As always: Support Ivan & Red! → patreon.com/boarsgoreswords Follow us on twitter → @boarsgoreswords Find us on facebook → facebook.com/BoarsGoreSwords