The Profit and Proof Podcast

Lifesight

The Marketers Growth Playbook The Profit and Proof Podcast is for marketers and growth leaders who need to prove what actually drives results. Each episode breaks down real-world marketing decisions through the lens of marketing measurement, incrementality, attribution, marketing mix modeling (MMM), and marketing ROI. Hosted by Joie Roberts, the podcast features candid conversations with CMOs, growth leaders, and operators on what is truly driving performance and how to make decisions that stand up to scrutiny.

  1. 6d ago

    Experiments, MMM and Agentic AI: Why Causal Learning Still Wins with Julian Runge

    Rajeev Nair, co-founder of Lifesight, sits down with Professor Julian Runge to talk about why experimentation is still the backbone of good measurement, what incrementality actually means, and how leaders should get MMM, attribution, and experiments working together. Julian's background spans economics research, startup analytics in mobile games, research at Facebook, and academia. That mix makes this a practical conversation about measurement strategy, where automation stops being useful, and why human judgment still matters as AI takes over more of the mechanics. In this episode: • Julian's path from economics research to startup analytics, Facebook, and academia, with experimentation as the common thread • Why open source MMM and AI agents take people with no modeling background from zero to one • The gap between running a model and understanding it, and the risk when access grows faster than measurement literacy • Why experiments are still needed to calibrate models, and why no model should be treated as standalone truth • Why the hardest measurement problems are political as much as technical: incentives, inertia, and how much leadership understands • Incrementality in plain terms: outcomes a brand would not have gotten without ads, and why the counterfactual is the core challenge • Julian's ladder of experimentation, from basic incrementality tests to channel interaction, intensity, and long-term tests that capture delayed effects • Why attribution, experimentation, and MMM should complement each other rather than be replaced by one system, even as AI automates more of the workflow • Julian's current research on games as marketing media and on using machine learning to detect harmful behavior in digital marketplaces like online betting Subscribe to The Profit and Proof Podcast on ⁠⁠Apple Podcasts⁠⁠, ⁠⁠Spotify⁠⁠, ⁠⁠YouTube⁠⁠, or wherever you get your podcasts. Visit ⁠⁠Lifesight.io⁠⁠ to learn how leading brands use unified marketing measurement, incrementality testing, marketing mix modeling (MMM), and causal attribution to make smarter budget decisions. Follow Lifesight on ⁠⁠LinkedIn⁠⁠ for the latest insights, product updates, and new episodes.

  2. Sep 15

    Causality, Incrementality & Optimality: Deepdive into advertising Measurements with Professor Kenneth Wilbur

    What does incrementality actually mean, and why does advertising measurement go wrong so often? In this episode of Humans of Measurement, Lifesight CPO Rajeev Nair sits down with Kenneth Wilbur, Professor of Marketing and Analytics at UC San Diego's Rady School of Management, to break down incrementality, causal inference, and experimentation, and the critical difference between measuring ad performance and making better business decisions. Kenneth defines incrementality as causal lift and explains why the term is increasingly misused. He makes the case that causality is a data and identification problem, not just a modeling problem, and that valid control groups are what separate real lift from correlation. Rajeev and Kenneth also get into what happens when platforms and agencies grade their own homework, and how incentives inside an organization can either shut down experimentation or build a culture of continuous learning. In this episode: - Kenneth's path from economics and communication to software engineering, marketing, and analytics - Why he built an open-access advertising measurement resource and keeps revising it with practitioner feedback - Incrementality as causal lift, and how the term gets misused - Causal measurement vs. correlational approaches like marketing mix modeling (MMM) - Why valid control groups and quasi-experiments are essential for measuring causal impact - The incentive problem when platforms and agencies grade their own homework - How organizational incentives shape experimentation culture - Why causality is a data and identification problem, not just a modeling problem - Moving beyond incrementality to optimality: profit, retention, customer value, and pricing - Admias, a simulator that teaches students to make real ad measurement and budget allocation decisions - Kenneth's current research and book recommendations Humans of Measurement is presented by Lifesight, the unified marketing measurement platform that brings together marketing mix modeling, incrementality testing, and causal attribution so brands can make decision-grade budget calls. Learn more: https://lifesight.io Follow Humans of Measurement for more conversations with the people shaping how marketing gets measured.

  3. Aug 31

    Everyone Blames Marketing with Lara Schoisman

    Lifesight's Podcast Host, Joie Roberts sits down with Lara Schmoisman, founder and CEO of The Darl, to unpack why marketing so often gets blamed when growth stalls. Lara makes a strong case for marketing-first thinking, better execution, and tighter alignment across strategy, operations, paid media, SEO, and organic content.They also dig into how AI search is changing the fundamentals, why social proof matters more than polish, and why brands need to stop trying to be the next someone else.Key topicsIn this episode, Lara explains why marketing should start before product launch, not after, with market research, consumer understanding, and white-space analysis.She argues that the real issue is rarely “marketing doesn’t work” - it’s usually weak strategy, poor execution, or a budget that cannot support the plan.Joie and Lara discuss why brands fail when they copy successful companies like Rhode, Rare Beauty, or Alo Yoga instead of building a differentiated position.Lara breaks down how founders often launch ego products instead of solving a real consumer problem, which creates friction from day one.They talk through retail readiness, including why brands need proof, numbers, engagement, and relationships before pitching major retailers.Lara says the website is the “heart” of the business, and that paid ads cannot compensate for poor website performance, weak organic presence, or bloated tech stacks.The conversation covers SEO in the age of AI, including intent-based search, discovery platforms, and why brands need to understand how consumers actually phrase problems.Lara shares that press releases and PR still matter because AI values authority, citations, and organic proof from human sources.They discuss the need for one consistent brand narrative across SEO, paid media, and social, especially as algorithms get better at detecting mixed signals.Lara makes a strong case for social proof, real creators, and imperfect content over polished AI-looking assets, especially for e-commerce and Amazon.Get more about Lara and The Darl here: https://thedarl.com Ready to measure what’s driving your marketing growth? Book a demo with Lifesight to turn insights into more confident budget decisions. www.lifesight.io

  4. Aug 12

    Making Marketing Make Sense to the CFO with Scott Davidson

    In this episode of The Profit and Proof Podcast, Lifesight Marketing Director, Joie Roberts hosts Scott Davidson, a finance and go-to-market systems expert, to explore how marketers can better align their efforts with concrete business results. Scott shares his insights on accurate attribution, pipeline forecasting, and leveraging finance principles to make marketing more transparent and effective. Key Topics: The importance of moving from activity-based metrics to accountability-driven measurements Why traditional attribution models like first and last touch are outdated The role of multi-touch attribution and presence/absence analysis in understanding success How to implement holdout tests to measure marketing incrementality Approaches to defining and redefining ideal customer profiles (ICP) regularly The significance of benchmarking marketing spend against industry standards When and how to test new ICP segments with experimentation budgets Balancing AI automation with human touch in marketing workflows The risks of over-relying on AI and spray-and-pray strategies Connecting marketing efforts to tangible business outcomes Practical steps for marketers to stay close to the business and challenge outdated practices Resources & Links: drive ROI.ai Scott Davidson’s website on go-to-market infrastructure Subscribe to The Profit and Proof Podcast on ⁠Apple Podcasts⁠, ⁠Spotify⁠, ⁠YouTube⁠, or wherever you get your podcasts. Visit ⁠Lifesight.io⁠ to learn how leading brands use unified marketing measurement, incrementality testing, marketing mix modeling (MMM), and causal attribution to make smarter budget decisions. Follow Lifesight on ⁠LinkedIn⁠ for the latest insights, product updates, and new episodes.

  5. Jul 30

    Unraveling the Future of Marketing Measurement and AI with Professor Ron Berman

    In this episode of Humans of Measurement, Rajeev Nair hosts Professor Ron Berman to explore the evolving landscape of marketing science, measurement practices, experimentation, and the role of AI. Dive into insights that challenge conventional wisdom and highlight how rigorous, context-aware measurement is reshaping marketing strategies. Professor Berman’s unconventional journey from software development and venture capital to academic marketing science The nuances between datasets’ precision and decision-making relevance in marketing measurement Common pitfalls of hypothesis testing: false discoveries and their managerial implications The importance of aligning measurement practices with decision-making goals The challenges and opportunities of experimental marketing, including short vs. long-term impacts The influence of attribution models on organizational experiment adoption The emerging role of AI agents in decision-making, with emphasis on transparency and auditability The research case on false discovery rates in A/B testing and its practical implications Practical advice on designing experiments, from quick directional checks to rigorous quantifications Recent tools like ChatGPT and Claude transforming research workflows and hypothesis exploration Book recommendations: William Gibson's Pattern Recognition, connecting marketing to sci-fi narratives Future directions: integrating measurement and decision-making paradigms through reinforcement learning and AI Subscribe to The Profit and Proof Podcast on ⁠Apple Podcasts⁠, ⁠Spotify⁠, ⁠YouTube⁠, or wherever you get your podcasts. Visit ⁠Lifesight.io⁠ to learn how leading brands use unified marketing measurement, incrementality testing, marketing mix modeling (MMM), and causal attribution to make smarter budget decisions. Follow Lifesight on ⁠LinkedIn⁠ for the latest insights, product updates, and new episodes.

Ratings & Reviews

5
out of 5
2 Ratings

About

The Marketers Growth Playbook The Profit and Proof Podcast is for marketers and growth leaders who need to prove what actually drives results. Each episode breaks down real-world marketing decisions through the lens of marketing measurement, incrementality, attribution, marketing mix modeling (MMM), and marketing ROI. Hosted by Joie Roberts, the podcast features candid conversations with CMOs, growth leaders, and operators on what is truly driving performance and how to make decisions that stand up to scrutiny.