𝗛𝗮𝗿𝗻𝗲𝘀𝘀𝗶𝗻𝗴 𝗔𝗜 𝗳𝗼𝗿 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗦𝘂𝗰𝗰𝗲𝘀𝘀: 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝗳𝗼𝗿𝗺𝗲𝗿 𝗛𝗲𝗮𝗱 𝗼𝗳 𝗔𝗺𝗮𝘇𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 (𝗔𝗧𝗦) In a future Culture by Numbers podcast, I sat down with Matthew Dwyer, CEO of Impact Lab AI, to discuss how marketers can effectively leverage AI within Amazon's advertising ecosystem. He highlights the importance of governance to align with strategy. As AI tools increasingly automate creative media execution, the question arises: where do humans add value? Dwyer emphasizes that while AI is a powerful tool, it is not a standalone solution. He states, "AI is a tool, not a solution," highlighting that human creativity and strategic thinking are essential in guiding AI's application. Dwyer points out that data serves as the fuel for AI, particularly within Amazon's ecosystem, which is rich in consumer insights. Brands can use this data to refine their strategies and achieve better results. However, the challenge often lies in navigating the overwhelming amount of data available. To combat this, Dwyer advocates a focused approach, advocating a "data diet" to extract meaningful insights without becoming bogged down by Big Data. Core Principles of Impact Lab AI: Dwyer outlines several core tenets that guide the mission of The Impact Lab: 1. 𝗗𝗲𝗽𝘁𝗵 𝗢𝘃𝗲𝗿 𝗕𝗿𝗲𝗮𝗱𝘁𝗵: Concentrating solely on Amazon's advertising and AWS stack for specialized expertise that drives business impact. 2. 𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝗠𝗲𝗱𝗶𝗮 𝗮𝗻𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆: There are significant challenges between media-focused and technology-focused partners, and filling this void is necessary. 3. 𝗜𝗺𝗽𝗮𝗰𝘁 𝗢𝘃𝗲𝗿 𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝘆: Unlike traditional consulting models that emphasize busy-work, prioritize tangible business results, rather than sheer activity levels. Dwyer candidly discusses the challenges brands face when incorporating AI into workflows. He emphasizes the importance of starting small and iterating rather than attempting to implement large-scale changes all at once. By focusing on a minimum viable product (MVP), brands can experiment and learn from initial implementations before scaling up. #podcast #techpodcast #media #technology #consulting #advice #AI #thinkbig #startsmall #advertising #adtech
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While most business owners are still trying to out-post the algorithm, I decided to out-smart it. Meet Chatty B.™ — my proprietary AI Content Strategist built inside the Elevate90ai ecosystem. She turns one half-formed idea into seven days of platform-ready content — in your voice, with your brand psychology, and without the burnout. Because here’s the truth: Consistency doesn’t come from more effort. It comes from better systems. And in 2025, AI isn’t just about automation — it’s about authentic amplification. Chatty B.™ is proof that you can lead with creativity and scalability. 👉 Watch the video to meet her. Then grab the free resource + book a consult to see if she’s the right fit for your brand’s next level. 📎 https://lnkd.in/gV6hAhaE 🌐 www.elevate90ai.com Hashtags: #ChattyBLaunch #Elevate90AI #AIEraOfAuthenticity #BuildOnceScaleSmart #AIConsulting #WomenInTech #DigitalStrategy #ContentAutomation #FutureOfMarketing #ThoughtLeadership 💡 Watch → Download → Discover how AI can protect your voice while scaling your visibility.
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🚀 The Growth Engine You Didn’t Know You Had! 🚀 Modern Marketing Communications is transforming how brands connect, engage, and grow - powered by data, AI, and bold storytelling. From Uber’s $1B ad business to Meta’s AI-driven creative, the world’s most innovative companies are redefining what’s possible. Curious about the trends, real-world impact, and how leading brands structure their MarComm teams? Dive into my latest deck for stats, case studies, and a blueprint for building your own powerhouse function. #MarketingCommunications #AI #Growth #BrandStrategy #MarTech #DigitalTransformation #Leadership #Innovation #CaseStudy
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Marketing is evolving faster than ever! Startups like Mutiny, LTV.ai, and Jasper are transforming how brands connect with audiences using AI-driven personalization, data insights, and automation. It’s amazing to see how technology is helping marketers create deeper, smarter, and more human connections. #Marketing #AI #StartupTrends #DigitalMarketing #Growth
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One of the best parts of hosting Super Unfiltered is reconnecting with former clients and friends to hear how they're thinking about AI in marketing. It's always great to chat with Carole Irgang, and this episode was no exception. Carole doesn't do surface-level AI hype. She built PepsiCo's first AI-powered marketing platform, turned around brands at GoDaddy, and now helps companies bridge the gap between pilots and actual business impact. In this conversation, she cuts right to the heart of what most marketing leaders are wrestling with: four years into AI-native work, how does this actually drive growth? Her unfiltered perspective on synthetic consumer data, composable stacks, and agentic AI at scale is exactly what the moment requires—no buzzwords, just hard-won insights from someone who's been in the trenches. https://lnkd.in/g-Cw9KWe
CMO | Brand & Growth Strategist | Transformation Driver | AI-Driven Marketing Leader | B2B & B2C | CPG and Technology Companies | $1B+ Brand Builder | Driving Impact at Scale/Ex-Kraft, GoDaddy, McCain and IBM
Was such an honor to share my perspective with Supergood friends John Elder and Michael Barrett talking about #AI. My POV is to "test test test so we can to learn learn learn" the power of this amazing capablity. I am using so many different approaches to #AIagents every day that I keep getting smarter and better at how to engage. I actually feel like I am getting smarter in the porcess and my curiosity keeps going through the roof. Now when something pops into my brain, I put a question out to one of my agent friends and BAM, answers that just provokes even more ideas. Go forth and have fun with this. You'll be amazed at how it changes your day,. Learn fast & cheap so you thrive fast and hard. Carole Irgang built PepsiCo's first AI-powered marketing platform. Then turned around brands at GoDaddy as SVP of Brand. Now she's a fractional CMO helping companies figure out what actually happens after the pilot ends. Because here's what nobody's saying out loud: we're four years into AI-native creative work, and most marketing leaders still can't answer the basic question clients keep asking: "how does this drive growth?" In this episode of Super Unfiltered, Carole breaks down: → The gap between experiments and measurable business impact → What synthetic consumer data actually gets you (and what it doesn't) → Composable marketing stacks that work in practice, not theory → What changes when agentic AI starts handling shelf execution at scale If you're past the "let's try AI" phase and into the "now what?" phase, this one's for you. Listen now: Apple Music: https://lnkd.in/eaitSRhb Spotify: https://lnkd.in/e9Z_QPTR hashtag #SuperUnfiltered hashtag #AIMarketing hashtag #MarketingLeadership Activate to view larger image,
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The days of guesswork in marketing are gone. In 2025, AI has turned ad campaigns into precision tools analyzing thousands of data points in real time to deliver your message to the right audience at the right moment. At Podosphere Technologies, we’re using AI to go beyond clicks and impressions building campaigns that learn, adapt, and optimize automatically. The result? - Higher ROAS - Lower ad fatigue - Smarter, faster decisions AI doesn’t replace creativity it amplifies it. It gives marketers the clarity to craft stories that truly connect, while technology ensures every rupee is spent where it matters most. Marketing isn’t about luck anymore it’s about logic, learning, and laser-sharp precision. #AIMarketing #PerformanceMarketing #DigitalInnovation #PodosphereTechnologies #MarketingStrategy
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Most marketing teams are using AI like it’s a copy assistant. That’s the smallest part of what it can do. As Chaenara O'Brien, Principal Strategist at Thought Bakery, puts it, AI’s real power is in helping you think and operate differently. Marketing teams today are being asked to do more with less: fewer people, smaller budgets, bigger goals. And that means our time and energy have to move toward deep work, the kind that builds real leverage. Here’s Shay’s take: “Marketers today need to become a bit of product builders.” She’s right. The next generation of marketers won’t just write briefs or launch campaigns. They’ll build internal systems, automations, data flows, and “central intelligence layers” that make creativity scalable. AI isn’t replacing the marketer. It’s pushing us to become architects of our own marketing engines. 🎧 Full conversation with Alec Cheung, Barb VanSomeren, and Chaenara O'Brien now live on The Marketing Share Podcast. Links in the comments. #MarketingLeadership #AIinMarketing #GoToMarketStrategy #MarketingOps #TheMarketingShare
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Chaenara O'Brien articulates what many CMOs are feeling. Greater shift toward orchestration and deep work. Marketing, product, sales, and I'll add customer experience need to be linked closer than ever - one commercial motion. The Marketing Share Podcast
Most marketing teams are using AI like it’s a copy assistant. That’s the smallest part of what it can do. As Chaenara O'Brien, Principal Strategist at Thought Bakery, puts it, AI’s real power is in helping you think and operate differently. Marketing teams today are being asked to do more with less: fewer people, smaller budgets, bigger goals. And that means our time and energy have to move toward deep work, the kind that builds real leverage. Here’s Shay’s take: “Marketers today need to become a bit of product builders.” She’s right. The next generation of marketers won’t just write briefs or launch campaigns. They’ll build internal systems, automations, data flows, and “central intelligence layers” that make creativity scalable. AI isn’t replacing the marketer. It’s pushing us to become architects of our own marketing engines. 🎧 Full conversation with Alec Cheung, Barb VanSomeren, and Chaenara O'Brien now live on The Marketing Share Podcast. Links in the comments. #MarketingLeadership #AIinMarketing #GoToMarketStrategy #MarketingOps #TheMarketingShare
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🚀 Demo of my AI-powered micro SaaS for social media management (MVP stage)! In this quick Loom, I show how it works: 1️⃣ Dashboard & Analytics – Track performance with charts, bar graphs, and AI-driven insights. 2️⃣ Tasks Page & Kanban Board – Organize and manage content efficiently. 3️⃣ Calendar & Scheduling – Plan, create, and schedule posts directly to Facebook (coming soon: YouTube & Instagram) with AI suggestions. This is just the MVP, and I’m iterating to expand its capabilities and streamline posting across multiple platforms. 💡 Building this has been an amazing way to sharpen skills in full-stack development, AI integration, and product design. Excited to see it evolve! #MVP #MicroSaaS #AI #SocialMediaManagement #FullStackDevelopment #ProductDesign #Innovation
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What does a Chief Product and Technology Officer want you to do to understand you customers better, including how to effectively use AI. For Simone Basso, Chief Product and Technology Officer at WeRoad, understanding customers is about more than data and dashboards. It's about observing how people actually behave when they are making one of the most emotional and complex purchases of their year, their vacation. Q: How does WeRoad use AI today? We use a wide range of AI tools across the company, from marketing to product. Our teams experiment with creative and automation platforms such as Midjourney, and we have built an in-house AI stack that powers semantic search to help travelers find experiences in a more natural, intuitive way. Q: What have you learned from watching how people interact with your product? Our business is complex. From the moment someone lands on our website to the moment they book a trip, it is often a three-month journey. There is a lot of discovery, comparing, and saving options. Since travel is a deeply emotional purchase, it is essential to see how people browse, where they click, and what they do not understand. You cannot see that only from funnels and dashboards. Q: What role should humans still play as product analytics and AI tools evolve? Ideally, a tool could analyze behavior and tell me exactly where the anomalies are, the three things that need attention. That would be incredible. But for now, every tool is still far from that. Until then, it is up to humans to connect the dots, understand the context, and make sense of the story behind the numbers. Q: Where do you find product inspiration? Podcasts and YouTube. One of my favorites is Lenny Rachitsky (Lenny's podcast), which is always top of mind. Simone’s perspective is a reminder that great product leadership means blending data, observation, and empathy. Real insight comes from watching what people do, not just reading what the numbers say.
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Sitting on a bench at the park, watching my daughter play, I searched for a sustainable gift for a 1-year-old, the second boy at home, whose parents would not want more clutter. Instead of going down the rabbit hole of research, I asked AI. In seconds, it gave me five options. I picked one right away. That one moment collapsed what used to be a long journey: awareness → browsing → consideration → conversion. AI compressed it into minutes. As a marketer, I’ve noticed the other side of that shift too. Publisher and direct traffic have been dropping, and the top of the funnel looks thinner than it used to. But here’s the thing: intent hasn’t gone away. The demand is still there — it’s just being captured earlier, and often by AI. For advertisers, that means: - Rethinking what success looks like when volume shrinks - Building authority and trust so your brand surfaces in AI Overviews (AIO) and recommendation results - Strengthening partnerships that keep you visible in fragmented ecosystems 👉 Curious to hear: how are you adapting strategy now that AI is reshaping both discovery and conversion? #GrowthMarketing #AI #Advertising #ConsumerBehavior #ContentStrategy
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