The Measure Pod

Full show notes, transcript and (NEW!) AI chatbot - https://bit.ly/3FxOPch. 00:00 Intro. 00:28 Self-serve analytics failure. 03:20 Self-serve analytics debate. 07:16 Data democratisation and self-service. 09:41 People misusing self-serve analytics. 13:14 Self-serve data analysis. 16:49 Self-serve analytics challenges. 18:10 Data literacy. 21:11 Overcoming learning challenges. 24:01 Understanding what people want. 26:01 Centralised document for company questions. 29:23 Self-serve analytics solution. 32:00 Pursuit of self-serve culture. 36:00 AI in self-serve analytics. 38:33 How to ask better questions. 40:24 Predefined list of curated questions. 43:05 Retention and success metrics. 46:21 The pursuit of self-servant data democratisation. 49:13 Suggest a topic or guest. ----- Episode Summary: In this week's episode of The Measure Pod, Bhav reflects on his biggest career failure: self-serve analytics. They discuss the challenges and complexities of implementing self-serve analytics in organisations, highlighting the factors that contribute to its success or failure. Bhav emphasises the importance of trust, data literacy, and problem-solving skills in enabling individuals to effectively use self-serve analytics tools. They also share personal experiences and strategies for promoting data democratisation and creating a culture of self-serve analytics. ----- Quotes of the Episode: "...this topic and the whole concept of self serve has been one of the biggest failures of my entire career spanning like 10, 11, 12 years." - Bhav "...self service doesn't equal self sufficiency." - Dara "...when marketers are always talking about like impressions and clicks as KPIs, I'm like, it means absolutely nothing. And like, you know, downloads of a podcast means nothing." - Dan ----- About The Measure Pod: The Measure Pod is a weekly podcast hosted by veteran practitioners of the marketing and product analytics industry. Join Dan and Dara from Measurelab, Bhav from CRAP Talks and the occasional guest on their quest to make sense of the analytics industry, and have some fun along the way. ----- If you liked this episode, don't forget to subscribe to The Measure Pod on your favorite podcast platform and leave us a review. Let's make sense of the analytics industry together! The post #90 Self-serve analytics: yay or nay appeared first on Measurelab.

Product manager Barry Pace joins the podcast to discuss integrating analytics into product teams. They explore the importance of effective communication, cross-functional collaboration, and the challenges and opportunities in different industries. They also touch on building a business case for bringing in an analyst and the future of AI in product management.

In this week's episode, we explore the challenges of treating analytics as a product. We discuss managing internal users and their ever-changing needs, the importance of observability, and the role of a product manager. We also touch on agile ways of working and the monetization of analytics as a product.

Full show notes, transcript and (NEW!) AI chatbot - https://bit.ly/461QORs. 00:00:00 Intro. 00:00:32 Data expert discusses A-B testing and generative AI. 00:05:03 Different perspectives on data science. 00:09:34 Be holistic in data analysis. 00:14:16 Experimentation is both science and art. 00:18:02 Value of experimentation in CRO. 00:25:55 Data democratization is essential. 00:29:53 AI has the potential to revolutionize data analytics. 00:33:39 Data people should focus on efficiency. 00:36:18 Promote better question asking. 00:40:39 Data analysts need to adapt or risk being left behind. 00:44:56 Data perfection is a myth. ----- Episode Summary: In this week's episode of The Measure Pod, we dive into a fascinating conversation with Shaun McGirr, a data expert at Dataiku and former Crap Talks presenter. We explore the world of A/B testing, experimentation, and the future of analysts' roles as generative AI becomes more prevalent. Shaun shares his thoughts on the controversy surrounding A/B testing and the importance of considering other methods of learning about the world. We discuss the challenges and potential of using generative AI in the data analytics space, and how it can revolutionize the way we work with data. Grab your headphones and stap in for an insightful and thought-provoking discussion on the evolving landscape of data science and experimentation! ----- Quotes of the Episode: "We very commonly hear, oh, I can't do anything interesting with data or AI or predicting anything until I've got all my data perfect. It's a myth subscribed to by people who have never actually worked with data. Because if you have, you know it's never perfect and you still have to make a decision happen." - Shaun "What if you provided an interface that helped people ask the right questions or at least better questions? And if they had no questions, they could be suggested questions and they could pick the questions that they liked the most, and then the job of data people to make LLMs useful is to do prompt engineering, right? To take the small human questions right? Put more context around them." - Shaun "It still requires human curiosity." - Shaun ----- About The Measure Pod: The Measure Pod is a weekly podcast hosted by veteran practitioners of the marketing and product analytics industry. Join Dan and Dara from Measurelab, Bhav from CRAP Talks and the occasional guest on their quest to make sense of the analytics industry, and have some fun along the way. ----- If you liked this episode, don't forget to subscribe to The Measure Pod on your favorite podcast platform and leave us a review. Let's make sense of the analytics industry together! The post #87 A/B testing controversies and generative AI (with Shaun McGirr @ Dataiku) appeared first on Measurelab.

Alex Harvey, an expert in SEO measurement, joins the podcast to discuss various topics. They delve into the evolution of SEO, the use of generative AI for content, upskilling with data and analytics, SEO ROI, competitor analysis, handling new product categories, biases in AI-generated content, and the future of attribution measurements. The episode provides valuable insights into the challenges and strategies of SEO measurement.

Join Dan, Dara and Bhav as they dive into the topic of data literacy. They discuss the importance of data curiosity, data storytelling, and effective data communication. They explore the significance of domain expertise in data interpretation and the role of data literacy in building a data-driven organization. They also challenge the myth of the non-technical marketer and emphasize the value of curiosity, storytelling, and communication skills in data analysis.

Full show notes, transcript and (NEW!) AI chatbot - https://bit.ly/3QXO2Ip. [00:00:00] Intro. [00:01:35] Future of product analytics tools. [00:03:33] Product analytics toolset changes. [00:07:40] Product-led growth. [00:10:35] The next evolution in analytics. [00:12:07] Google's dominance in analytics. [00:16:00] The cost models of event based tracking. [00:19:36] Pattern matching and data analysis. [00:22:24] Using one platform for efficiency. [00:24:24] Data collection and tool diversity. [00:27:14] Platforms should bring things together. [00:30:47] Escalating costs of these products. [00:32:09] Google's strategy with BigQuery. [00:35:30] Moving to first party data. [00:37:08] Difficulties with product managers. [00:41:05] Self-building or self-implementing analytics. [00:43:10] Funnel vs. Sankey diagrams. [00:45:59] The growth of event tracking. ----- Episode Summary: Join Dan, Dara and Bhav discuss the future of product analytics tools and the intersection between product analytics and marketing analytics. Gain insights into the changing landscape of analytics tools, the challenges and complexities of product analytics, and the potential impact of Google Analytics 4 (GA4) on the market. This episode they also discuss the importance of data collection, the benefits of using one platform for all needs, and the potential future of analytics tools with advancements in machine learning and cloud integrations. ----- Quotes of the Episode: "I think as an industry, we're getting smarter as a collective, you know, marketers and analysts are getting smarter, but maybe budgets haven't improved as much to have a data science team or a data engineer, for example, to manage all these pipelines." - Dan "But there's something deep down inside me that believes that they're probably going after the Amazon market share." - Bhav "I was always told that there's no such thing as a funnel, it's a pretzel, users don't act in straight lines. But the funnels are still really useful" - Dan "Sankey diagrams are horrible because they look horrible, they're not very actionable" - Bhav ----- About The Measure Pod: The Measure Pod is a weekly podcast hosted by veteran practitioners of the marketing and product analytics industry. Join Dan and Dara from Measurelab, Bhav from CRAP Talks and the occasional guest on their quest to make sense of the analytics industry, and have some fun along the way. ----- If you liked this episode, don't forget to subscribe to The Measure Pod on your favorite podcast platform and leave us a review. Let's make sense of the analytics industry together! The post #84 The future of product analytics tools appeared first on Measurelab.

Full show notes and transcript - https://bit.ly/3YMHC0G. 00:15 - Intro 00:38 - Topic 36:58 - Outro ----- Episode Summary: In this week's episode of The Measure Pod, Dan, Dara and Bhav delve deep into the transition from Universal Analytics (UA) to Google Analytics 4 (GA4). They reflect on their personal experiences with UA and express their mixed feelings about its departure. They also discuss how GA4 is perceived as an upgrade, but in reality, it's a completely different product! The conversation touches on the fear of change and the initial challenges associated with learning GA4. As the sun sets on UA, hear our hosts discuss the implications, opportunities, and challenges presented by GA4, and shed light on its nuances and what it means for the analytics industry. ----- Quotes of the Episode: "One of the biggest revelations and kind of changes I went through in my career working with sort of web analytics and Google Analytics specifically, is the reality of how unimportant it all is, and just acceptance of that." - Dan "The people who are going to be most surprised with it are going to be the ones who sporadically see the data... They'll be like, hey, why have these numbers changed?" - Bhav "UA is dead. Long live GA4" - Dara ----- About The Measure Pod: If you loved this episode, don't forget to subscribe to The Measure Pod on your favorite podcast platform. Leave us a review and share with your peers. Let's make sense of the analytics industry together! The post #83 GA is dead, long live GA! appeared first on Measurelab.

Full show notes and transcript - https://bit.ly/44ixVIi. 00:15 - Intro 04:10 - Conversation 46:20 - Rapid fire ----- Episode Summary: Dan, Dara and Bhav are joined by David Mannheim (founder of Made With Intent and author of The Person In Personalisation) to talk about the world of personalisation and his new book 'The Person in Personalisation'. They talk about Disney's failed personalisation app and lack of personability, how personalisation is not CRO and the flaws in thinking as such. They also discuss if brands can truly form personal bonds in an era dominated by AI and automation. ----- Key Takeaways: The Duality of AI: David contemplates the pros and cons of AI in facilitating genuine brand relationships. While technology has its merits, does it dilute the human touch? Understanding Brand Relationships: A thought-provoking discussion on whether humans genuinely form relationships with brands or if it's merely a simulation of connection. The Role of Authenticity: David's personal journey of self-awareness and its impact on brand communication. Rapid Fire Insights: From busting myths to envisioning the future challenges for brands, our rapid-fire segment offers quick yet deep insights into David's thoughts. ----- Quotes of the Episode: "Retention is almost like repeat purchase, which I do all the time from Amazon, but that doesn't mean I'm loyal to them." - David "Moving from quantity to quality is probably the main measure." - David "AI does make, what is intended to be a personal process, inherently more impersonal." - David ----- About The Measure Pod: Join Dan and Dara from Measurelab alongside Bhav from CRAP Talks every week as they decode the marketing and product analytics industry. The Measure Pod offers expert insights, discussions, and a fresh perspective on data analytics. Perfect for industry professionals and newcomers alike, delve deep, stay updated, and enhance your analytics know-how with each episode. Dive in and optimize your data analytics journey! The post #82 The person in personalisation (with David Mannheim @ Made With Intent) appeared first on Measurelab.

Guest co-host Bhav Patel joins the hosts to discuss marketing and product analytics. They explore the differences between product and marketing analytics and the challenges of transitioning to Google Analytics 4. They also discuss self-service analytics, the accuracy of data, and connecting analytics to revenue. The episode concludes with a preview of future episodes and a potential debate on users versus sessions in analytics.