176 episodes

Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show. Read any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice." In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. This podcast is one of those contributions. Each episode is a closed topic and an open forum - the goal is for listeners to enjoy listening to Michael, Tim, and Moe share their thoughts and experiences and hopefully take away something to try at work the next day. We hope you enjoy listening to the Digital Analytics Power Hour.

The Digital Analytics Power Hour Michael Helbling, Tim Wilson, and Moe Kiss

    • Business
    • 4.8 • 109 Ratings

Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show. Read any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice." In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. This podcast is one of those contributions. Each episode is a closed topic and an open forum - the goal is for listeners to enjoy listening to Michael, Tim, and Moe share their thoughts and experiences and hopefully take away something to try at work the next day. We hope you enjoy listening to the Digital Analytics Power Hour.

    #065 (Rebroadcast): Digital Analytics from a Psychological Perspective with Dr. Liraz Margalit

    #065 (Rebroadcast): Digital Analytics from a Psychological Perspective with Dr. Liraz Margalit

    We can watch (sort of) what users do on our sites. That's web analytics. We can ask them how they felt about the experience. That's voice of the customer. But, can we (and should we?) actually analyze their emotional reactions? On this episode, Michael and Tim sat down with Dr. Liraz Margalit, Head of Digital Behavioral Research at Clicktale, to bend their brains a bit around that very topic. And, they left the discussion thinking differently about conversion rates, and even realizing that scroll tracking might just have a valuable application! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.


    This episode originally aired on June 20, 2017.

    • 57 min
    # 84 (Rebroadcast): Bayesian Statistics and the Digital Analyst with Dr. Elea Feit

    # 84 (Rebroadcast): Bayesian Statistics and the Digital Analyst with Dr. Elea Feit

    Do you model professionally? Would you like to? Or, are you uncertain. These are the topics of this episode: Bayesian statistician (among other official roles that are way less fun to say) Dr. Elea Feit joined the gang to discuss how we, as analysts, think about data put it to use. Things got pretty deep, included the exploration of questions such as, "If you run a test that includes a holdout group, is that an A/B test?" This episode ran a little long, but our confidence level is quite high that you will be totally fine with that. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. 


    This episode originally aired on March 13, 2018.

    • 1 hr 5 min
    #117 (Rebroadcast): What’s in a Job Title? Maybe the Data Shows! with Maryam Jahanshahi

    #117 (Rebroadcast): What’s in a Job Title? Maybe the Data Shows! with Maryam Jahanshahi

    What’s in a job title? that which we call a senior data scientist by any other job title would model as predictively…
    This, dear listener, is why the hosts of this podcast crunch data rather than dabble in iambic pentameter. With sincere apologies to William Shakespeare, we sat down with Maryam Jahanshahi to discuss job titles, job descriptions, and the research, experiments, and analysis that she has conducted as a research scientist at Datapeople (formerly TapRecruit), specifically relating to data science and analytics roles. The discussion was intriguing and enlightening! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 1 hr 3 min
    #126 (Rebroadcast): When the Data Contradicts Conventional Wisdom with Emily Oster

    #126 (Rebroadcast): When the Data Contradicts Conventional Wisdom with Emily Oster

    Did you hear the one about the Harvard-educated economist who embraced her inner wiring as a lateral thinker to explore topics ranging from HIV/AIDS in Africa to the impact of Hepatitis B on male-biased sex ratios in China to the range of advice and dicta doled out by doctors and parents and in-laws and friends about what to do (and not do!) during pregnancy? It’s a data-driven tale if ever there was one! Emily Oster, economics professor at Brown University and bestselling author of Expecting Better and Cribsheet, joined the show to chat about what happens when the evidence (the data!) doesn’t match conventional wisdom, and strategies for presenting and discussing topics where that’s the case. Plus causal inference! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. 


    This episode originally aired on October 22, 2019.

    • 1 hr 2 min
    #070 (Rebroadcast): The Case for Customer Lifetime Value with Dr. Peter Fader

    #070 (Rebroadcast): The Case for Customer Lifetime Value with Dr. Peter Fader

    Is your organization customer-centric? Does your product team dive into the demographics of your customers to figure out what features will make them as happy as possible? If so, then you're doing it all wrong! Perhaps. On this episode, the gang chats with Dr. Peter Fader (@faderp) from The Wharton School and Zodiac Metrics, about putting customer lifetime value (CLV) front and center when it comes to developing and executing marketing strategies. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. This episode originally aired on August 29, 2017. 

    • 1 hr 4 min
    #088 (Rebroadcast): User Research Meets Analytics with Els Aerts

    #088 (Rebroadcast): User Research Meets Analytics with Els Aerts

    Thanks for stopping by. Please get comfortable. We’re going to be taking a few notes while you listen, but pay that no mind. Now, what we’d like you to do is listen to the podcast. Oh. And don’t worry about that big mirror over there. There may be 2 or 3 or 10 people watching. Wow. We’re terrible moderators when it comes to this sort of thing. That’s why Els Aerts from AGConsult joined us to discuss user research: what it is, where it should fit in an organization’s toolkit, and some tips for doing it well. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
    This episode originally aired on May 8, 2018.

    • 48 min

Customer Reviews

4.8 out of 5
109 Ratings

109 Ratings

malfoxley ,

Great show!

Michael, Tim and Moe, hosts of the Digital Analytics Power Hour podcast, highlight all aspects of digital analytics and more in this can’t miss podcast! The hosts and expert guests offer insightful advice and information that is helpful to anyone that listens!

hjkll32334 ,

Best Analytics Podcast

I absolutely love this podcast. I saw Tim speak years ago and was thrilled that he had a podcast too. They talk about the hard parts of the job and don’t pretend like they know it all (pet peeve). Oh and they’re also absolutely hilarious and seem like genuinely nice people. ❤️

LJsmom90024 ,

So relatable!

Just listened to the reporting vs analytics episode and I am in love! I thought my co worker and I were crazy when we spend so much time trying to convey the difference. Everything said was so relatable it made me feel like I’m not crazy; Other analysts think the same! Can’t wait to listen to more, sad I’m just no finding it!

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