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By Jim Gianoglio, Simon Poulton
5
44 ratings
The podcast currently has 29 episodes available.
Did you know that pre-roll podcast ads cost half as much and drive twice the ROI of mid-roll ads?
That's just one of the many insights today's guest brings to the table. Listen in to understand the intricacies of podcast advertising with Amila Coomber, Head of Marketing & Growth at Podscribe. We explore everything from the technicalities of measuring podcast ad effectiveness, the evolution of podcast advertising, the role of pixel-based measurement, and the differences between host-read and dynamic ads. Amelia also shares valuable insights into the future of podcast advertising, including the potential impact of video on platforms like YouTube.
Links from the show:
Amelia Coomber on LinkedIn
Podscribe
Quarterly (Podcast Advertising) Performance Benchmark Reports
00:00 Introduction and Nickname Banter
01:28 Discussing Podcast Ads
02:17 Introducing the Guest
05:01 Understanding Podcast Advertising
14:32 Technical Aspects of Podcast Ad Measurement
26:16 The Rise of Podcast Advertising
26:38 Simulcast and Pixel-Based Attribution
27:20 YouTube's Role in Podcasting
27:59 Challenges in Measuring Podcast Ads
31:10 Programmatic Advertising and Future Trends
33:38 Dynamic Feedback Loops and MMM
44:22 Creative Strategies in Podcast Ads
45:56 Insights and Future of Podcast Measurement
47:32 Final Thoughts and Incremental Insights
Mike Taylor, co-author of Prompt Engineering for Generative AI and first two-time guest of the pod joins us to "delve" into the important questions around getting the best answers out of ChatGPT and the like.
Learn about the principles of prompt engineering, the role of generative AI in analytics, and how to effectively use AI for data cleaning, code generation, and more.
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00:00 Introduction and Casual Banter
01:16 Speed Reading and Da Vinci Jokes
02:52 Introducing the Guest: A Modern Day Da Vinci
05:19 Diving into Prompt Engineering
08:35 Generative AI in Analytics and Marketing
14:37 Practical Applications and Challenges
18:38 Prompt Engineering Tips and Tricks
24:54 Crafting Effective Prompts for Social Media
25:37 The Value of Prompt Engineering in Automation
26:39 Exploring Prompt Marketplaces and Tool Use
27:51 Automating Prompt Creation and Its Implications
29:28 The Future of Prompt Engineering as a Skill
32:50 Applications of AI in Copywriting and Image Generation
34:58 AI in Data Extraction and Analytics
45:12 Leveraging AI for Industry Insights and Efficiency
48:45 Conclusion and Book Pitch
What do PMax, Advantage+ and an 8-year-old in an arcade have in common?
Navah on LinkedIn
Optmyzr
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?
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What are the biggest challenges facing marketers and analysts today? Is it privacy regulations? Technology changes? AI?
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.
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Timeline:
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?
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Have you ever been told by some smug data scientist that you just need to run a randomized controlled trial to understand the true incrementality of a paid media channel? Just run a power analysis to understand your sample size requirements, right? Were you left with questions about specifically how to do that?
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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.
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"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."
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Universities are facing a shrinking market with changing demographics, and they're not immune from the economic pressures most businesses face today. So how do they ensure their marketing dollars are being spent wisely - especially with the challenges imposed by super long consideration cycles?
Listen in as we explore how universities are navigating the challenges of marketing attribution, leveraging data to enhance enrollment strategies, and balancing traditional and digital marketing approaches.
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Links from the show:
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