The Measure Pod

Full show notes, transcript and AI chatbot - http://bit.ly/4msIQbFWatch on YouTube - https://youtu.be/5hchBfk763o00:00:00 – Introduction 00:01:54 – Privacy and data sharing 00:05:16 – AI pilots failure statistics 00:08:09 – Economic impact of automation 00:10:39 – AI usage and income correlation 00:15:12 – Automation versus augmentation in AI 00:18:04 – AI and privacy in analytics 00:21:21 – Google Analytics Individual Qualification 00:25:41 – Data democratisation in analytics 00:30:07 – Google's approach to user privacy 00:30:56 – Privacy and data protection challenges 00:34:00 – AI in user interfaces 00:39:43 – User privacy and AI interaction 00:42:42 – AI and consent complexities 00:44:08 – Copyright and data ownership issues 00:46:31 – Risks to professional journalism 00:50:39 – Creativity through AI automation 00:54:00 – Hyper-targeted data is unnecessary 00:56:39 – Hyper-targeting vs. contextual advertising 01:00:04 – User privacy and data consent 01:03:41 – Creativity and AI collaboration 01:08:14 – Creative process and technology 01:10:06 – Privacy's impact on technology 01:12:47 – AI model transparency concerns-----Episode Summary:In this episode of The Measure Pod, Dara and Matthew sit down with Brian Clifton, the former Head of Web Analytics at Google (EMEA), author, and founder of Verified-Data.com and Advisor to Piwik PRO. They discuss the intersection of AI, privacy, and analytics, from the evolving role of Google Analytics and data democratisation to the challenges of user consent and data protection, they unpack how privacy-first thinking is shaping the future of measurement. Along the way, they dive into issues like AI in user interfaces, copyright and data ownership, and the risks automation poses to professional journalism. The conversation also covers creativity in the age of AI, from automation and collaboration to the impact of hyper-targeting versus contextual advertising.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #129 The impact of AI on digital analytics and user privacy (with Brian Clifton) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - http://bit.ly/45OMaZFWatch on YouTube - https://youtu.be/sFBo_j3cLIEJoin our Dataform webinar on the 11th of September - http://bit.ly/4gfuFFu00:00:00 - Introduction 00:01:22 - News Roundup 00:02:04 - Claude Chrome Pilot and risks 00:06:42 - Lethal trifecta problem 00:08:32 - Image generation advancements 00:12:55 - Competitive image editing software 00:16:03 - Google Translate's new features 00:18:40 - Future of language learning 00:22:39 - Attribution models in digital analytics 00:27:50 - Using MCPs in digital analytics 00:30:20 - MCP servers and LLM integration 00:35:14 - Browser testing with Playwright 00:38:34 - Automated e-commerce tracking implementation 00:40:54 - API call translation challenges 00:45:43 - Customising prompt templates in MCP 00:49:41 - AI functionality and governance balance 00:51:05 - User level access in analytics 00:54:25 - Authentication challenges in MCP 00:58:59 - Customised UI for analytics workflows 01:02:05 - Agent to agent workflows 01:06:51 - Future of chat interfaces in analytics 01:10:46 - AI outsourcing mundane tasks 01:12:40 - Data activation challenges in business-----Episode Summary:In this episode of The Measure Pod, Dara and Matthew sit down with Gunnar Griese from 8-bit-sheep to discuss MCPs and their growing role in digital analytics. From server integration with LLMs to customising prompt templates and tackling authentication, they explore how MCPs are reshaping workflows and access in analytics. Along the way, they touch on related challenges like API translation, automated tracking, and the balance between AI functionality and governance.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #128 MCP servers in digital analytics (with Gunnar Griese at 8-bit-sheep) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - http://bit.ly/4fNEBpmWatch on YouTube - https://youtu.be/Bz4YYZCjT6g00:00:00 Introduction 00:03:11 GPT-5 release predictions 00:06:15 Incremental updates in AI 00:10:14 AGI as a marketing label 00:14:41 Regulation catching up with AI 00:18:24 Google Cloud Marketing Analytics Partnership 00:20:07 Dataform's impact on data quality 00:25:39 First computer experience 00:27:52 AI coding and productivity challenges 00:31:24 Data collection challenges in analytics 00:34:18 Collaborative tracking in companies 00:40:45 Data anomaly detection capabilities 00:41:40 Reducing noise in analytics alerts 00:45:06 Innovators dilemma in analytics 00:50:01 Customer indifference to tracking issues 00:54:49 Data quality and business impact 00:56:03 Automation leads to more problems 00:59:40 Data quality in AI usage 01:02:30 AI in anomaly detection 01:08:00 Self-service in product interactions 01:09:14 Voice interfaces and attribution changes-----Episode Summary:In this episode of The Measure Pod, Dara and Matt welcome Josele Perez, co-founder of Trackingplan, to dive into the evolving challenges and opportunities in data collection. Josele shares his personal journey, from his first computer experience to discovering coding as a form of therapy, before walking us through the mission behind Trackingplan. Together, they explore the most common pitfalls in data collection, why the collection phase deserves more focus, and how ownership and collaboration can transform tracking efforts across teams.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #127 Ensuring robust data collection – lessons from Trackingplan (with Josele Perez) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - http://bit.ly/4oqoJNeWatch on YouTube - https://youtu.be/Leb1rjtODGc00:00:00 - Introduction 00:03:26 - Google Analytics and AI News 00:05:06 - ChatGPT Agent Tool and Pizza Ordering 00:07:06 - ChatGPT 5 Speculations 00:09:09 - Google Notebook LM and Video Generation 00:12:24 - Google AI Search in the UK 00:14:27 - Google's AI Strategy and Advertising 00:15:10 - ChatGPT Study Mode 00:16:12 - Introduction of Guest Roman Petrochenkov 00:18:00 - Roman's Background and Role at Carwow 00:20:03 - First Party Data Strategies 00:22:01 - Importance of First Party Data 00:25:35 - Collecting First Party Data 00:28:13 - Carwow's Progress with First Party Data 00:30:01 - Incentivizing Users to Share Data 00:32:10 - AI's Impact on Data Collection 00:35:06 - Technical Steps for First Party Data Strategy 00:38:21 - Challenges with User-Provided Data in GTM 00:39:37 - Direct Data Routing to Cloud Data Warehouse 00:41:07 - Implementing Enhanced Conversions 00:43:40 - Experience with Facebook CAPI 00:45:24 - Communicating Complex Data Strategies Internally-----Episode Summary:In this episode of The Measure Pod, Dara and Matt sit down with Roman Petrochenkov, a seasoned marketing analytics leader with deep expertise in data strategy and measurement. They discuss the growing importance of first-party data, unpacking strategies for its collection, ownership, and security, as well as the evolving role it plays in a post-cookie landscape. They also explore the rise of AI in analytics, its impact on incrementally measurement, and what the future holds for marketing teams and jobs in an increasingly automated world.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #126 First-party data strategy – a client side perspective (with Roman Petrochenkov at Carwow) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - http://bit.ly/452Y00xWatch on YouTube - https://youtu.be/mVwb4KJpUoM00:00:00 Introduction 00:07:46 Google Analytics MCP server 00:08:39 AI in Google Analytics management 00:12:27 Google Analytics and Reddit ads 00:17:14 Shift left manifesto explained 00:21:06 Data ownership and governance 00:24:06 Shifting left in data quality 00:28:19 Tools for data engagement 00:31:12 Data contracts as agreements 00:34:06 Power dynamics in data relationships 00:37:27 Data contracts for marketing analytics 00:41:28 Bridging tech language gaps 00:45:12 Adoption challenges in technology 00:50:17 Coordination and structure in data 00:54:10 AI's impact on software dependencies 00:58:14 Use cases for data contracts 01:00:09 Data contracts for business value 01:05:23 Use case-driven data strategy 01:08:08 Data contracts in software development 01:10:17 AI's role in data engineering 01:13:30 Predictions for the future-----Episode Summary:In this episode of The Measure Pod, Dara and Matt are joined by Chad Sanderson from Gable.ai, a seasoned expert in the data space with a diverse background ranging from journalism to data science. Chad shares insights from his extensive career, which includes roles at large corporations like Subway, Oracle, and Microsoft, as well as at smaller startups. They discuss the concept of shifting left and how this approach aims to improve data quality, reduce costs, and accelerate data delivery by addressing issues earlier in the data lifecycle.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #125 Proactive pipelines – the power of shifting left (with Chad Sanderson at Gable) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - http://bit.ly/44K1vsEWatch on YouTube - https://youtu.be/9emUszHU41UWebinar sign-up link: http://bit.ly/4nCbIjz00:00:00 - Introduction 00:00:47 - News Segment Introduction 00:01:10 - Anthropic's AI Experiment 00:04:00 - AI's Business Acumen and Failures 00:06:18 - Meta Poaching OpenAI Engineers 00:08:23 - WhatsApp Introducing Advertising 00:11:13 - VO3 Video Model from Gemini 00:12:55 - AI-Generated Content and Deepfakes 00:14:29 - Webinar Announcement 00:15:23 - Introduction to Guest: Dennis from Stape.io 00:17:04 - Dennis' Background and Stape.io Overview 00:19:30 - Stape.io's Community Engagement 00:24:17 - Technical Requirements for Using Stape.io 00:27:09 - Scaling and Cost Management with Stape.io 00:30:10 - Seasonal Traffic and Server Scaling 00:31:26 - Server Infrastructure and Data Compliance 00:34:03 - Reasons for Choosing Stape.io Over DIY Solutions 00:36:00 - Benefits of Server-Side GTM 00:40:43 - Ad Blockers and Data Collection 00:41:16 - Privacy and Data Control with Server-Side GTM 00:42:00 - Novel Use Cases for Server-Side GTM 00:44:34 - Who Should Not Use Server-Side GTM 00:47:21 - Data Quality Improvements with Server-Side GTM 00:48:16 - Justifying Server-Side GTM for Data Quality 00:49:38 - Open Source Tooling and Community Engagement 00:51:52 - Contribution to Google Tag Template Store-----Episode Summary:In this episode of The Measure Pod, Dara and Matt are joined by Denis Golubovsky from Stape.io, the team making server-side Google Tag Manager implementation as simple as the click of a button. They dive deep into what makes server-side tracking so powerful, who benefits most from the switch, and the technical hurdles that come with it. Expect candid takes on ad blockers, cross-device tracking, and why configuration is just the beginning when it comes to getting server-side GTM right.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #124 Transforming tag management with server-side GTM (with Denis Golubovskyi at Stape) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - http://bit.ly/3FX0G7sWatch on YouTube - https://youtu.be/l6F_9ZfHxJcWebinar sign-up link: http://bit.ly/4ehrs7m00:00:00 Google Cloud outage consequences 00:05:09 Google Search AI integration 00:09:50 Shopping journey optimisation 00:10:56 Martech madness webinar promo 00:11:36 Martech stack challenges and solutions 00:16:25 Warehouse native analytics solution 00:22:37 Data warehousing accessibility and democratisation 00:24:37 Data warehouse monetisation challenges 00:29:10 Transitioning to a data warehouse 00:32:45 Data integration process explained 00:36:17 SQL optimisation without LLMs 00:39:23 Data quality and user trust 00:45:13 Product and marketing analytics overlap 00:49:21 Data warehouse analytics revolution 00:51:46 Data privacy in tech solutions 00:56:41 Cat logo branding significance 00:59:40 AI in SQL queries-----Episode Summary:In this episode of The Measure Pod, Dara and Matt are joined by István Mészáros, founder and CEO of Mitzu — a company who have built a warehouse-native product analytics solution. They explore who this approach is really for, what it offers teams that traditional tools don’t, and the challenges companies face when making the shift. Expect an honest discussion about trade-offs, technical friction, and why warehouse-native is becoming a serious contender in the analytics space.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #123 Why teams are turning to warehouse-native analytics (with István Mészáros at Mitzu) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/45GkOF6Watch on YouTube - https://youtu.be/EOCkEORVToo00:00:00 - Introduction 00:00:47 - News Overview 00:02:25 - Speculations on AI and Hardware Integration 00:03:25 - AI Devices and Market Speculations 00:04:03 - Subscription Models and Data Privacy Concerns 00:05:21 - AI and Consumer Technology 00:05:48 - Anthropic's New Claude Models 00:06:55 - AI Model Benchmarks and Comparisons 00:08:34 - Practical Uses of New Claude Versions 00:09:45 - AI in Data Engineering and Analysis 00:10:30 - Google Ads Data Manager API 00:11:02 - Google Tag Gateway 00:13:10 - First-Party Data and Privacy 00:16:11 - Transition to AI-Themed Episode 00:17:00 - Introduction to Guest Anthony Mayfield 00:18:00 - Background of Brilliant Noise 00:19:28 - Digital Transformation and AI 00:22:13 - Technological Evolution and Complexity 00:25:35 - Human Adaptation to Rapid Technological Change 00:30:20 - Understanding and Interfacing with Complex Technology 00:32:44 - Brilliant Noise's Pivot to AI 00:37:13 - Practical AI Adoption in Companies 00:39:13 - Importance of Data Management for AI 00:40:06 - Bottom-Up Approach to AI Adoption 00:43:47 - Encouraging AI Adoption in Companies 00:45:07 - Effective Training and Learning for AI Adoption-----Episode Summary:In this episode of The Measure Pod, Dara and Matt are joined by Antony Mayfield to talk about what 15+ years of digital transformation work actually looks like and how it’s changed. From the rise of influencer marketing to the sudden urgency of AI, Anthony shares what he’s seeing on the ground with big brands and why adapting to new tech is no longer optional. Expect a wide-ranging chat on systems, shifts, and why ChatGPT isn’t just a tool, it’s a turning point.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #122 Digital transformation in the age of AI (with Antony Mayfield at Brilliant Noise) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/4dtzBFhWatch on YouTube - https://youtu.be/4yo-N2KM8rw00:00:00 - Introduction 00:01:00 - Veronica's Career Journey 00:02:30 - Transition from Academia to Data Analysis 00:04:00 - Regrets About Leaving Academia 00:05:30 - Current Role as a Product Data Analyst 00:07:00 - Skills Required in Data Analysis 00:09:00 - Bridging Technical and Business Communication 00:10:30 - Experience with Data Tools 00:11:30 - Tech Stack and Tools Used 00:13:30 - Data Culture in the Workplace 00:14:30 - Project Collaboration with Measurelab 00:15:30 - Overview of the Dataform Project 00:16:30 - Choosing Between DBT and Data Form 00:18:00 - Benefits of Dataform's Structure 00:20:00 - Maintaining and Scaling Data Solutions 00:23:00 - When to Use Dataform or DBT 00:25:00 - AI's Role in Data Management 00:29:00 - Learning and Adapting to AI 00:32:00 - Conclusion and Final Thoughts 00:49:00 - Closing Remarks and Encouragement-----Episode Summary:In this episode of The Measure Pod, Dara and Matt are joined by Verónica Delgado-Benito to chat through her journey from molecular biology PhD to data analyst at Springer Nature. They cover everything from her time in venture capital at Project A, to the quirks of working in scientific publishing—and what it’s like to swap lab coats for dashboards. They also dig into a recent project we worked on together using Dataform to streamline reporting across Springer’s complex analytics setup.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #121 Using Dataform and DBT in modern analytics (with Verónica Delgado-Benito at Springer Nature) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/42SW2yGWatch on YouTube - https://youtu.be/08gLvHthNuw00:00:00 – Introduction 00:05:37 – ChatGPT shopping and e-commerce 00:08:50 – AI impact on data tracking 00:12:28 – Natural language data analysis tool 00:16:18 – Discovery Catalog for Cloud Storage 00:19:11 – Data accessibility in BigQuery 00:25:23 – AI-generated insights in GA4 00:27:56 – Cloud Code features in IDE 00:30:36 – Data robustness in BigQuery 00:35:45 – Data layer responsibilities in marketing 00:39:47 – Importance of monitoring data integrity 00:42:51 – Documentation and data governance 00:46:56 – Derelict data warehouse issues 00:49:12 – Data governance and documentation 00:54:26 – Principles of least privilege 00:58:03 – Infrastructure as code with Terraform 01:00:04 – Audience participation ideas-----Episode Summary:In this episode of The Measure Pod, Dara and Matt dive into a whole mix of marketing analytics news and musings. From new BigQuery features and GA4 updates to ChatGPT integrations and data quality best practices, they cover what’s actually worth knowing. It’s a loose but lively chat full of useful insights, personal takes, and a healthy dose of “pinch of salt” news. Expect talk of snooker, rogue GA4 permissions, and why naming conventions are the hill we’ll die on.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #120 Marketing analytics updates and a BigQuery health check appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/3Gg5HHZWatch on YouTube - https://youtu.be/dcZhmVY_Bl000:00:00 - New co-host introduction. 00:04:01 - Google Next 25 conference highlights. 00:08:10 - CapEx spend on cloud and AI. 00:12:37 - Cross-cloud collaboration and flexibility. 00:15:40 - Gemini's integration in Firebase. 00:21:01 - Autonomous data AI platform. 00:25:10 - Data tools and data quality. 00:27:01 - Data quality challenges and solutions. 00:30:15 - Building with good foundations. 00:36:08 - Unstructured data in AI platforms. 00:40:10 - BigQuery as enterprise advantage. 00:42:56 - BigQuery vector search capabilities. 00:48:11 - Multi-agent systems and autonomy. 00:51:20 - Importance of robust data. 00:54:06 - BigQuery and unstructured data. 00:58:05 - Reducing repetitive work through automation.-----Episode Summary:In this episode of The Measure Pod, Dara and Matthew take the reins and dive into the biggest takeaways from Google Cloud Next 2025. From shiny new features to subtle shifts in direction, they cover the bits that matter—what’s exciting, what’s useful, and what might actually change the way we work. Plenty of ground covered. Plenty of thoughts shared. And just the beginning of what’s to come.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #119 Google Cloud Next 25 roundup appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/4kOQnllWatch on YouTube - https://youtu.be/VI6Qe0rZL1w00:00:00 - Introduction and Special Announcement 00:00:36 - Dara returns 00:00:57 - Farewell to Dan and Bhav 00:03:29 - Dara's Quiz Introduction 00:04:13 - Quiz Rules and Format 00:06:09 - First Quote: Analytics Belts 00:10:34 - Second Quote: Eggs in One Basket 00:14:06 - Third Quote: Enduring Pain 00:14:06 - Fourth Quote: Curiosity 00:17:44 - Fifth Quote: All Models Are Terrible 00:20:11 - Sixth Quote: Data is Directional 00:23:20 - Seventh Quote: Automating Bad Decisions 00:24:25 - Eighth Quote: Lamborghini 00:27:17 - Ninth Quote: Last Click and McDonald's 00:30:40 - Tenth Quote: Hoarding numbers 00:38:29 - Reflecting on Favourite Episodes 00:49:11 - Learning from Podcasting. 00:54:26 - Sharing your Voice and Knowledge. 00:57:12 - Contributing Within Your Workplace.-----Episode Summary:In this special episode of The Measure Pod, Dan and Bhav bid farewell as they step back from the show, making way for Dara to take the helm as a familiar voice returning to the podcast. Dara puts Dan and Bhav through their paces with a memory-based quiz, and they reflect on their favourite moments and learnings from hosting the podcast.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer at Measurelab and Bhav Patel then Director of Experimentation and Analytics at LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #118 Dan & Bhav’s farewell, best moments & a game of guess who appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/3CX6tsfWatch on YouTube - https://youtu.be/Qgg42DI_Z0800:01:22 Technology's Role in Analytics. 00:06:48 E-commerce transaction percentage in Coppel. 00:09:19 Attribution challenges in marketing. 00:12:41 Human understanding in technology. 00:19:23 E-commerce impact on business growth. 00:22:32 Omni-channel marketing evolution. 00:30:39 Impact of User-Generated Content. 00:34:10 Human understanding in data analysis. 00:39:05 Attribution models evolution. 00:41:44 GA4's impact on measurement. 00:49:08 Analytical credibility in marketing. 00:51:31 Marketing measurement methodologies. 00:54:45 Outro -----Episode Summary:In this week's episode of The Measure Pod, Dan and Bhav are joined by Jorge Ahumada Garcia from Coppel, one of Mexico’s largest retailers and banks. They dive into marketing mix modelling (MMM) and multi-touch attribution, exploring the balance between new technologies and traditional methods. Jorge shares his experience navigating the evolving analytics landscape, while Bhav highlights the importance of understanding the tech we rely on—rather than blindly trusting automation.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #117 Marketing incrementality, attribution & ROI optimisation (with Jorge Roberto Ahumada Garcia @ Coppel) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/40Wf46m00:00:40 Who are you? And what brings you to Superweek? 00:05:50 What’s been your favourite part of Superweek? 00:10:43 How would you explain Superweek to someone who’s never been before? -----Episode Summary:In this week's episode of The Measure Pod, Dan catches up with attendees at Superweek 2025 in Hungary, a conference dedicated to data analytics. They share their favourite moments from the event and discuss the value of connecting with like-minded professionals, each bringing their own unique backgrounds and reasons for attending.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer at Measurelab and Bhavik Patel then Director of Experimentation and Analytics at LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #116 Highlights from Superweek 2025! appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/40XHblNWatch on YouTube - https://youtu.be/Bc79OgBxR9w00:02:03 Content creation as a process. 00:04:06 Transition from physics to AI. 00:08:02 YouTube content creation journey. 00:09:15 Beginners in data science content. 00:12:41 Personal wisdom and mental health. 00:16:20 Getting started in data science. 00:19:10 Data scientist vs. data analyst. 00:21:49 Data science role evolution. 00:25:24 Bridging skills gap in analytics. 00:28:25 Art of modeling in practice. 00:31:36 Model profitability and testing. 00:34:50 Predictive model implementation challenges. 00:38:39 A-B testing: Science or Art? 00:41:08 Statistics vs. common sense in decisions. 00:43:05 Business intuition and data science. 00:46:27 Preferred programming language for coding. 00:49:32 Content creation in data science. 00:52:46 Outro -----Episode Summary:In this week's episode of The Measure Pod, Dan and Bhav are joined by Igor Howell, a rising voice in data science and content creation. They dive into the differences between analytics, data science, and machine learning, offering valuable insights for anyone in the field. Igor also shares his take on content creation, data-driven decision-making, and the key skills needed to grow your career in analytics.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #115 Lessons from a data science content creator (with Egor Howell @ Deliveroo) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/4gMftipWatch on YouTube - https://youtu.be/E202iZDFAOYChapters: 00:00:00 - Introduction 00:04:13 - Welcoming Ole to the Show 00:04:51 - Ole's Background and Project A Overview 00:05:55 - Role of Data in Early-Stage Companies 00:07:25 - Early Interest in Data 00:09:12 - Timing for Investing in Data 00:10:04 - Early Data Strategy and Investment 00:18:39 - Handling Limited Data 00:21:11 - Challenges in Data Representation 00:23:13 - Asking Stakeholders About Data Usage 00:26:23 - Preventing Vanity Metrics 00:31:06 - Product Managers and Vanity Metrics 00:33:25 - Avoiding Assumptions in Metrics 00:36:33 - Facilitating Solution Creation 00:38:39 - Clustering Metrics for Better Analysis 00:39:37 - On-the-Fly Metrics Exercise: Virtual Conferencing Platform 00:46:11 - On-the-Fly Metrics Exercise: Nutrition and Supplement Company-----Episode Summary:In this episode of The Measure Pod, Dan and Bhav are joined by Ole Bossdorf, an analytics expert at venture capital firm Project A, which boasts a portfolio of over 120 companies. They discuss the contrast between Ole’s work with early-stage startups and more established businesses, highlighting the critical role of metrics in driving success. The conversation also delves into the challenges and creative solutions for data analysis when dealing with limited information.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #114 Sanity over vanity – focusing on metrics that matter (with Ole Bossdorf @ Project A) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/4gs0BoKWatch on YouTube - https://youtu.be/PbrJeY0fCtU00:00:00 - Introduction 00:01:55 - Christmas Message and Podcast Plug 00:03:03 - Janos' Background and Career Journey 00:07:01 - Founding Atriba and Early Challenges 00:09:19 - Impact of GDPR on Attribution Modeling 00:10:58 - Factors Beyond Clicks in Marketing Measurement 00:15:25 - Defining Attribution Modeling and MMM 00:20:03 - Data-Driven Multi-Touch Attribution 00:22:17 - Pros and Cons of MMM vs. MTA 00:27:10 - Limitations and Realities of Attribution Models 00:30:43 - Measurelab Advertisement 00:33:42 - Applicability of Different Measurement Approaches 00:35:03 - Combining Different Measurement Methodologies 00:42:45 - Practical Impact on PPC Managers 00:45:21 - Convincing Decision-Makers to Adopt New Approaches 00:55:31 - Outro Questions -----Episode Summary:In this week's episode of The Measure Pod, Dan and Bhav are joined by János Moldvay from Funnel to dive into the intricacies of Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and the future of marketing measurement. János shares his expertise on analytical methodologies and highlights the critical role of measurement in shaping effective marketing strategies.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #113 MMM, MTA and the future of marketing measurement (with János Moldvay @ Funnel) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/4194ef8Watch on YouTube - https://youtu.be/Jgdk7Ou93Bg00:00:00 - Marketing and product analytics crossover. 00:04:24 - Brighton meetup for analytics. 00:08:32 - Product analytics platforms vs GA4. 00:11:05 - Product analytics platform considerations. 00:14:46 - Lifetime value and retention analysis. 00:18:28 - Product analytics and event data. 00:22:07 - Google Analytics limitations discussed. 00:24:58 - Measurelab advertisement 00:25:39 - Data discrepancies between analytics tools. 00:27:24 - Data collection and platform discrepancies. 00:30:09 - Product analytics integration challenges. 00:32:40 - GA4 platform limitations. 00:36:30 - Cookie banners and consent management. 00:39:10 - User experience and data collection. 00:44:45 - Integration buy-in for analytics platforms. 00:45:39 - Warehouse native analytics approach.-----Episode Summary:In this week's episode of The Measure Pod, Dan and Bhav dive into the intricate world of product analytics. Dan shares his recent challenges relating to product analytics assessments, requirements, and navigating the vendor landscape. And Bhav offers up some insights into the evolving dynamics between marketing and product teams as they increasingly overlap in their interests.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #112 Product analytics tool assessment appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/3O88XGcWatch on YouTube - https://youtu.be/bIYsp57Rmuo00:00:00 - Introduction 00:05:15 - Crap Talks Brighton 00:07:11 - Analytics as an investment 00:10:57 - Analytics as a profit enabler 00:14:47 - Analytics team success without proof 00:18:19 - Thermostat vs. Thermometer analogy 00:23:54 - Optimising sales call strategies 00:24:04 - Measurelab Ad 00:25:22 - Simplicity in analytics adoption 00:29:41 - Empowering analysts through problem-solving 00:32:12 - Product-led growth experiment outcomes. 00:36:01 - End of Google Analytics era 00:40:03 - Modular data stack considerations 00:41:37 - Google Analytics and advertising impact 00:46:20 - Google Analytics and competition 00:49:57 - Personal hobbies of an analyst-----Episode Summary:In this episode of The Measure Pod, Dan and Bhav welcome back Adam Greco from Amplitude. They discuss his recent MeasureCamp presentation on the ROI of analytics, as well as his impactful 'thermostat versus thermometer' analogy, which illustrates the role of analytics in decision-making — and much more!-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #111 ROI of analytics and GA’s gravy train (with Adam Greco @ Amplitude) appeared first on Measurelab.

Full show notes, transcript and AI chatbot - https://bit.ly/4fe0FrCWatch on YouTube - https://youtu.be/hSmKcauB_5E00:00:00 - Introduction to The Measure Pod 00:00:22 - The Future of Data Collection 00:01:00 - The Reality of Data Accuracy 00:02:45 - The Need for 100% Data Collection 00:03:23 - The Trap of Data-First Thinking 00:04:26 - Data Silos and Business Expectations 00:06:07 - Politics and Bureaucracy in Organisations 00:07:28 - The Evolution of Analytics Roles 00:09:05 - Specialisation vs. Generalisation in Analytics 00:10:13 - The Changing Landscape of Data Science 00:12:34 - The Role of Analysts in Decision Making 00:14:07 - The Future of Machine Learning in Analytics 00:17:21 - Advertisement 00:21:09 - Ethics in Data Collection 00:25:31 - Public Perception of Privacy 00:28:13 - The Future of Analyst Roles 00:36:33 - Conclusion and Audience Engagement-----Episode Summary:This week's episode of The Measure Pod was recorded live at MeasureCamp London, where Dan and Bhav discussed the future of analytics, specifically what it could look like in the next decade. The episode covered topics such as data accuracy, ethics, AI, and much more.-----About The Measure Pod:The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!The post #110 Live from MeasureCamp London 2024: analytics in 2034 appeared first on Measurelab.