Measure Up

Are you wondering what to do next in your career? Is AI going to leave you living in a van, down by the river? What paths have others taken through this crazy measurement industry we're in?Let's learn from a sample of 1: Sani Manić - who has gone from web dev to CRO to co-founder of a SaaS company. Find out how he transitioned across various web development and CRO roles and how decided what to do next. ▶️ Watch on YouTubeLinks from the show:Sani Manić on LinkedInPodpacerCohesioBook - Can't Hurt Me (David Goggins)The School of Greatness podcast (ep. with Leila Hormozi)Show Notes:00:00 Introduction and Friendly Banter01:33 Career Backgrounds and Education01:57 Career Progression and AI Impact02:58 Guest Introduction and Career Journey06:08 WordPress Beginnings11:57 Transition to Marketing and SEO13:21 Bridging the Gap Between Teams19:36 Challenges in CRO and Statistics23:16 AI and Best Practices in Website Optimization23:59 The Future of Hyper-Personalized Experiences26:38 The Problem with Historical Data in CRO28:11 Universal Experiences vs. Individual Optimization31:53 The Journey to Becoming a Founder34:15 Building Tools to Solve Real Problems38:04 Advice for Aspiring Entrepreneurs39:16 The Importance of Focus and Small Steps48:09 Incremental Insights and Recommendations

Is MMM the right solution for your company?With seasoned professionals Gabriel Franco (Founder of Cassandra) and TS Kelly (Managing Director at Arima), we go deep into the world of Marketing Mix Modeling (MMM).What does the adoption of MMM look like? What's the role of open-source tools like Meta's Robyn and Google's Meridian? When is MMM the NOT the right solution? What do MMM critics get wrong? And what's in store over the next few years for MMM?▶️ Watch on YouTube00:00 Introduction and Opening Remarks00:34 Introduction to Marketing Mix Modeling00:55 Current Trends and Sponsors in Marketing Mix Modeling01:36 Choosing the Right Marketing Mix Modeling Approach02:55 Consultant vs. In-House vs. Open Source04:17 Challenges and Success Stories in Marketing Mix Modeling08:31 Adoption and Education in Marketing Mix Modeling23:20 Future of Marketing Mix Modeling30:18 Audience Q&A37:10 Conclusion and Closing Remarks

Elea Feit, an Associate Dean of Research and marketing mix expert, joins Karen Chisholm, a director at Pernod Ricard specializing in analytics. They tackle the biggest challenges facing marketers in measurement today. Expect a deep dive into the future of marketing mix modeling and the importance of data quality. They also discuss the nuances of brand-level optimization and the complexities introduced by digital media. Insights on how to simplify data for effective decisions and the evolving landscape of marketing measurement are key highlights.

There's been a lot of excitement about Google's recent launch of Meridian - their open-source MMM framework. But does it live up to the hype?Jim and Simon explore what sets Meridian apart from other tools like Meta's Robyn and PyMC Marketing. They also discuss the evolution and impact of open-source MMM, the role of new data streams such as Google Query Volume and Reach & Frequency data, and how the availability of Meridian might shift industry standards. Listen in to understand the features, benefits, and the potential gaps Meridian fills within the marketing measurement ecosystem.▶️ Watch us on YouTubeLinks from the show:Google's MeridianMeta's RobynPyMC MarketingRecast - Validating MMMMMM Hub00:00 Introduction and Host Switch-Up00:37 Discussing Google's Meridian Announcement02:00 Understanding Meridian's Name and Popularity03:48 Google's Open Source MMM Framework05:53 Comparing Lightweight MMM and Robyn12:02 The Role of AI and Data in MMM21:52 Debunking Meridian's Myths22:13 Understanding Meridian's Role in Experimentation22:54 The Importance of Competition in Open Source MMM23:28 Unique Features of Meridian Compared to PyMC and Robin23:49 Choosing the Right MMM Tool: Robyn, Meridian, or PyMC?24:22 Explaining Time Varying Coefficients24:30 Entry-Level Recommendations for MMM Tools25:00 Static vs. Time Varying Baselines in MMM28:44 Evaluating the Accessibility of MMM Tools35:20 The Need for Robust Validation in MMM37:38 Challenges in Incrementality Testing39:07 Bridging the Gap Between MMM and Media Managers43:17 Future of MMM: In-Platform Incrementality Testing43:46 Final Thoughts and Joining the MMM Hub

Big Bets for 2025: AI, Marketing Mix Modeling, and the Future of Retail MediaJoin Simon and Jim as they place their bets for 2025. Find out why Jim thinks MMM adoption is going to skyrocket, and why Simon is all in on retail media measurement.More importantly, find out why Simon's house was once listed on Google Maps as a Forever 21 location.▶️Watch on YouTube00:00 Introduction and Year-End Reflections00:24 Cauzle's First Year and Growth01:02 Podcast Popularity and Listener Engagement01:35 Career Transitions and New Roles03:49 The Future of Measurement and Media04:05 Big Bets for 202504:55 Big Bet #1: Retail Media Measurement14:33 Big Bet #2: Marketing Mix Modeling Predictions26:05 Big Bet #3: AI Answer Engines and Search Behavior30:55 Big Bet #4: AI's Role in Marketing33:18 Big Bet #5: Synthetic Audiences in Market Research43:39 Big Bet #6: External Performance Calibration59:48 Concluding Thoughts and Incremental Insights

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 YouTube⁠Links from the show: MMM Solution Comparison Questions to ask MMM Vendors Meta's Robyn Google's Meridian PyMC Marketing Uber's Orbit Recast PyMC Labs00:00 Introduction and Greetings00:44 Discussing the State of MMM02:02 Exploring MMM Platforms08:33 Quick Tangent - Baseball and Data Analytics09:41 Comparing MMM Packages12:23 Open Source MMM and Future Trends25:45 The Origin of PyMC Marketing26:54 Comparing Open Source Options29:23 The MMM Gap: Challenges and Solutions31:55 Triangulation and Platform Data39:53 The Role of AI in Ad Buying49:50 Future of MMM and Industry Trends