Josh Silverbauer, Head of Analytics and CRO at From the Future, combines his expertise in behavioral analytics with creativity, including his unique analytics rock opera. He dives into tools like Microsoft Clarity, emphasizing their significance over traditional web analytics. The discussion unveils the complexities of AI-driven hyper-personalization, tackling privacy issues and ethical concerns. Josh also shares insights on his rock opera 'User Journey', showcasing the harmonious blend of data analysis and artistic expression.

Amelia Coomber, Head of Marketing & Growth at Podscribe, is a podcast advertising measurement expert. She shares fascinating insights on why pre-roll ads deliver superior ROI compared to mid-roll. The conversation dives deep into the technicalities of measuring ad effectiveness, including pixel-based attribution and the challenges of tracking listener behavior. Amelia discusses the future of podcasting, especially the potential impact of platforms like YouTube and AI-driven measurement strategies, shedding light on innovative advertising techniques.

Mike Taylor, co-author of "Prompt Engineering for Generative AI," is back with fascinating insights on enhancing AI interactions. He discusses the principles and practical applications of prompt engineering, emphasizing its role in marketing and analytics. Learn how to craft effective prompts for social media and automate prompt creation. Mike highlights the significance of AI in data extraction and the evolving skill set of professionals in this space. Get ready for a deep dive into AI's potential to transform decision-making in business!

In this discussion, Navah Hopkins, a PPC expert with over 16 years in the industry, shares her insights on maximizing Google’s Performance Max (PMax) campaigns. She explores the nuances of managing these campaigns, including how to exclude branded searches and tackle measurement hurdles. The conversation highlights the complexities of incrementality testing and the importance of collaboration between data teams and PPC specialists. With a sprinkle of humor, Navah emphasizes learning from failures and shares tips for enhancing productivity through effective scheduling and the energizing power of metal music.

How much should you be paying for Marketing Mix Modeling (MMM)? How do you make day-to-day tactical decisions when MMM isn't that granular? Should you go with open source MMM solutions, or stick with a vendor? Join Jim and Simon in this in-depth discussion about the current state and future of Marketing Mix Modeling (MMM). They cover the evolution of open-source MMM platforms like Meta's Robyn, Google's Meridian, and PyMC Marketing, and explore their pros and cons. They also discuss the implications of AI-driven ad units and the challenges they pose for measurement. 📺 ⁠⁠⁠Watch on YouTube⁠ Links from the show: MMM Solution Comparison Questions to ask MMM Vendors Meta's Robyn Google's Meridian PyMC Marketing Uber's Orbit Recast PyMC Labs 00:00 Introduction and Greetings 00:44 Discussing the State of MMM 02:02 Exploring MMM Platforms 08:33 Quick Tangent - Baseball and Data Analytics 09:41 Comparing MMM Packages 12:23 Open Source MMM and Future Trends 25:45 The Origin of PyMC Marketing 26:54 Comparing Open Source Options 29:23 The MMM Gap: Challenges and Solutions 31:55 Triangulation and Platform Data 39:53 The Role of AI in Ad Buying 49:50 Future of MMM and Industry Trends

What are the biggest challenges facing marketers and analysts today? Is it privacy regulations? Technology changes? AI? In two words: unmet expectations. Neil Hoyne, Chief Strategist at Google, shares his insights into the evolution of marketing measurement given the current environment and challenges. Even with MMMs and incrementality testing, at the end of the day the organizations that win will be the ones that can take action and make decisions based on the data. This is not a tool problem, or a data problem - it’s a people problem. Organizational friction and human behavior is still there. Listen in as we discuss the resurgence of Marketing Mix Modeling (MMM) as essential tool for marketers in a privacy-centric era, the importance of adaptability within the marketing industry, and the crucial role of storytelling and relationship building in data interpretation. 📺 ⁠⁠Watch on YouTube⁠ Links from the show: ⁠Neil on LinkedIn⁠ ⁠Journal of Consumer Research Journal of the Academy of Marketing Science Journal of Marketing Timeline: 00:21 A Dive into Historical Context 01:08 Setting the Stage for Today's Episode: The Marketing Measurement Dilemma 02:44 Introducing the Expert: Neil Hoyne 03:54 The Evolution of Marketing Measurement Post-COVID 06:19 Challenges and Expectations in Modern Marketing Measurement 16:51 The Resurgence of MMM and Addressing Organizational Challenges 22:08 Bridging the Gap Between Data and Decision-Making 23:22 The Future of Measurement and Analytics in Marketing 26:47 Exploring the Imperfections of Marketing Tools 27:05 The Complexity of Understanding Consumer Behavior 28:10 Navigating Uncertainty in Marketing Decisions 29:04 Competitive Advantage in Consumer Behavior 30:26 The Quest for Better, Not Perfect, Marketing Models 32:12 Bridging the Gap Between Data Science and Business Goals 33:52 Embracing Imperfection and Business Impact 38:05 The Future of AI and Its Impact on Marketing 43:08 Adapting to Change and Embracing New Skills 46:25 Final Thoughts and Advice for Marketers

Billboards, transit posters, digital signage - these are just a few of the options for out-of-home (OOH) advertising. OOH is a format that as digital marketers and analysts, we don’t typically consider. But when it comes to measuring billboards and other OOH channels, how exactly do we do that? We brought on an expert at the cutting edge of OOH to answer this question, and bring light to how OOH is changing in today’s digital world. Ty Tinker is Head of Analytics at AdQuick - a company that is modernizing the out-of-home advertising space. We talked with him about the finer details of OOH measurement, including the past, present and future capabilities. 📺 ⁠Watch on YouTube Links from the show: Ty on LinkedIn AdQuick MeasureUp Ep. 6 with Greg Dolan MeasureUp Ep. 22 with Nick Stoltz AdQuick Madvertising Podcast Billboard Cost Calculator

Learn how to test the incrementality of paid media channels with insights from Nick Stoltz, Chief Strategy Officer at Measured. Dive into the details of random controlled trials, power analysis, and sample size requirements. Explore the challenges and benefits of incrementality testing, the impact of market upheavals, and the evolving strategies in response to iOS 14.5. Discover the importance of hypothesis frameworks, holdout tests, and scale tests for measuring ad impact on sales. Embrace a culture of experimentation in marketing to drive business growth and stay ahead of the competition.

What's MeasureCamp, you ask? Oh, do we have a treat for you! Buckle up as Simon and Jim talk with MeasureCamp founder, Peter O'Neill about this global 'unconference' movement focused on digital analytics. Learn what draws people to MeasureCamps around the world, and about the critical things you must get right if you want to start a measurement community of your own. 📺 Watch on YouTube Links from the show: Get your free MeasureCamp New York ticket! MeasureCamp.org Peter on LinkedIn

"Your [marketers] were so preoccupied with whether or not they could [track customers across the web], they didn't stop to think if they should." - Jeff Goldblum / Ian Malcolm, Jurassic Park With all the FUD (fear, uncertainty and doubt) and blatant misinformation being spread lately around the so-called "cookieless future" or "cookiepocalypse," 🤮 we needed to set the record straight. Find out why Siobhan Solberg insists that marketers respect their customers, and that it actually benefits them to care about their privacy. ▶️ Watch on YouTube Links from the show: Siobhan on LinkedIn Raze Marketing [Redacted] Newsletter Marketing Unf*cked podcast