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 show and a transcript of the show, visit the show page.

Raise your hand if you work for a company that sells exclusively low-consideration products and only sells them online. Anyone? Anyone? We only see a couple of hands out there. For all the rest of you, this episode might be of interest. We sat down with Amy Sample — Senior Director of Consumer Insights and Strategy at PBS by day, president of the DAA board by night — to discuss approaches for effective digital measurement in the absence of a clear online conversion. That challenge doesn't get much bigger than in the mission-driven, not-for-profit world of public television! After listening to this episode, you may actually feel like you have it easy! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.  

For the second year in a row for the podcast -- but the first appearance since Moe joined the crew -- we headed to the Hunguest Grandhotel Galya outside Budapest for Superweek, one of the most unique conference experiences in the digital analytics industry: comfortably isolated over an hour outside of Budapest in a beautiful setting, it's a temporary community of, for, and by the analyst. With sessions ranging from GDPR to machine learning to attribution to media analytics, the spaces before, between, and after the presentations were extended discussions with great people on a wide range of topics. The "fireside chat" on Wednesday evening was a recording of the podcast with a live audience, where we had attendees to share tips and ideas that we found particularly intriguing. And had quite a bit of fun along the way. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

In this, our initial bonus audio, Tim sits down with Lee Isensee, creator and curator of the Measure Slack team. We plug the Slack team on every episode of the podcast, and all three co-hosts are active members of the team, so we wanted to find out a little bit about the history, challenges, and envisioned future for the platform. Standard bonus content disclaimer: Bonus content is not released on any fixed schedule, and it does not receive quite the same level of polish as regular episodes. If you enjoy a particular bit of bonus content, are enthused about the general existence of bonus content, or have feedback about bonus content, we encourage you to leave a review of the show in iTunes, tweet to @analyticshour, or contact one of the show hosts through the Measure Slack team.

The data available to marketers -- literally at their fingertips by way of a few mouse clicks -- has exploded over the last decade. Yet, while there is more data -- and it is more accessible -- than it has ever been, the way we think about and use data has hardly evolved at all. With the recent advances in cloud computing and processing power, the industry is abuzz with talk of machine learning and artificial intelligence. How, then, will we get from the world of Microsoft Excel (or Tableau) to a world where "the machines" are automatically and dynamically optimizing all aspects of our marketing?

You love analytics. Great. You even love your job (hopefully)! But, you're thinking about the future, and it looks like there is a fork in the road. Should you take the path that leads you down the people management path? Or, should you take the path that leads you deeper into the data itself, but as an individual contributor. Can you pursue both paths? As it turns out, Michael stumbled down the former path, while Tim has headed down the latter. So, Moe took a turn in the moderator chair to guide a discussion about the considerations and relative merits of each option. As well as how the culture and HR processes of different companies can influence the availability of alternate paths. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.  

Do you ever feel like you've got the analytics blues because you see what needs to happen, and it's something innovative, and all the signals say it's the right thing to do... but the realities of organizational life are a brick wall on the path to progress? Welcome to corporate life, buddy. That's just the way it is! Or...is it? On this episode, the gang sits down with Evan LaPointe and gets him to jam a bit -- literally at first, and then figuratively -- about organizational dynamics, the tradeoffs between personality types, and why it can be counterproductive to always try to cater to all of the different psychologies and mindsets in any given meeting. And round tables. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Happy new year! Nothing says a new year like a new year's resolution. And, what's a better professional resolution than to work with stakeholders more effectively? Unfortunately, we've all come across business users who have no interest in the data, have too much interest in the data, or maybe even have the right amount of interest...but in the wrong data. Interactions with those stakeholders can be enormously frustrating and entirely unproductive, yet neither you nor they are going anywhere. What is an analyst to do? On this episode, the gang chews on this very topic with Rusty Rahmer, 20-year veteran of Vanguard, and the incoming president of the DAA's board of directors. Give it a listen for some practical perspectives and topical tips! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

2017 was a big year for both the digital analytics industry and for the Digital Analytics Power Hour. Join us, won't you, as we (figuratively!) gaze upon our navels? From the traction the #womeninanalytics movement gained on multiple fronts, to the looming promise of machine learning and AI getting a real foothold in the field, to the podcast finally adding a co-host who is universally admired, we had a lot to talk about! We had a LOT to talk about. Trust us, we edited this episode down heavily! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Are you a data subject? If you're a person, then you better believe you are! And, so is every person who visits your website. And, if you are in the EU, or you have visitors from the EU, then May 25th, 2018, is a day you should be keeping a close eye on and preparing for now! On this episode, Jodi Daniels of Red Clover Advisors joins Moe and Tim to talk all things General Data Privacy Regulation (aka, GDPR). Give it a listen and pick up delightful cocktail party openers like, "Hey, do you know how to tell someone isn't from the EU? They reference PII." That's not just a delightful witticism -- it's actually important to understand the distinction between PII and personal data! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

When you find a true insight, it can make your head spin. But, will your head spin in a different direction if the insight is found in Australia than if it is found in the United States? On this episode, Rod Jacka from Panalysis joins the crew for a balanced discussion (northern AND southern hemispheres) about how the phrase "actionable insights" should turn the stomach of any right-thinking analyst. More importantly, the gang discusses the need for clarity around insights -- both definitionally and expectations-wise -- and share their favorite techniques for getting that clarity. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

It's a challenge as old as the smartphone (or...technically... a little bit older): we want to track and know people, but, when they're visiting us from their phone, their tablet, their work laptop, and their home desktop, we often really just know cookies and device IDs! Countless vendors tout their enabling technology...but then admit that, yes, you do have to get your customers to authenticate on all devices to provide a common key, which isn't always easy (or even remotely reasonable). Unless you're up for diving into the deep and murky waters of probabilistic linking. On this episode, Tablet Tim -- the only one of the co-hosts who is an avid tablet user -- argues that the whole topic should be pretty "meh" for many companies, while Mobile Moe smacks him down and shares her experiences (the challenges...and the wins that made them worth it!) with linking users across mobile apps, a mobile site, and a desktop site. For complete show notes, visit the show page.  

You're listening to this podcast, so you're, obviously, well-attuned to the cutting edge of all things digital. But, in this episode, we're going to discuss a couple (or countless) products/platforms (PaaS — Platforms as a Service! Who knew that was a thing?!) from a little upstart company based in California. Google wouldn't actually return our calls (okay…we didn't call them), so we went with an Even Better Option: Mark Edmondson — Data Insight Developer at IIH Nordic, Google Developer Expert, author of so many R packages he had to write a package just to count them, delightfully accented Brit who now calls Denmark home, and a guy who tried to solve Twitter political discussions through text mining (not kidding — it's discussed in this episode) — joined the gang to do their First Ever three-continent simulcast. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Do you have a spare shingle lying around? Have you been thinking about painting, "Analyst for Hire - Will Work for Cookies" on it and hanging it up on your front door? It seems like a lot of analysts are pondering whether the next company they should work for should be their own. Adam Ribaudo did just that (figuratively -- we have no evidence of an actual painted shingle) 2.5 years ago. He now works for Noise to Signal, a company he joined...just as soon as he founded it! On this episode, we grill Adam about how he keeps his vast workforce in line, as well as what his thoughts are about the decisions made by Noise to Signal's upper management. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Have you learned R yet? No? Well, then Tim is disappointed in you. Or, maybe that's totally okay! Way back on episode #035, we asked the question if data science was the future of digital analytics. We concluded...maybe...for some. On this episode, we dive deeper into what the career options are for digital analysts with longtime digital analytics industry recruiting and staffing maven Corry Prohens, founder and CEO of IQ Workforce. The good news? There are lots of options (if you find your passion and follow it)! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Let's pretend your goal as an analyst is to eloquently and accurately explain reinforcement learning. Now, let's pretend that you get to try that explanation again and again, and we'll give you an electric shock every time you state something inaccurately and a cookie every time you say something right. Well, you're an analyst, so you're now wondering if this is some clever play on words about cookies. As it happened, we didn't give Matt Gershoff from Conductrics any cookies of any kind in his return to the show. Instead, we gave him a lifetime's supply of opportunities to say, "Well, no, it's not really like that," which is a special kind of nourishment for the exceptionally smart and patient! In other words, the gang walked through a range of analogies and examples about machine learning, reinforcement learning, and AI with Matt, and no electric sheep were harmed in the process.  For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

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 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.

Are you biased? Either you answered, "Yes," or you're in denial. Or you're an AI, in which case you should just go and start your own podcast instead of listening to this one. UNLESS your prediction algorithms told you that this would be the episode where we would finally announce the addition of a third co-host, and you need to collect that data point (and, damn, you're good, BTW). On this episode, though, our THREE (count 'em!) co-hosts dive into different types of biases that analysts (should) grapple with, how they spot them, and what they do to take advantage of them (or mitigate them, as appropriate).  For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

The conceit of this podcast is having real analysts hang out with each other -- enjoying each other's company and talking a little shop. But, for you, dear listener, that hanging out is occurring through your earbuds. What does it take to hang out IRL with other analysts? Guest host Moe Kiss from THE ICONIC joins the guys this week to chat about Web Analytics Wednesdays, MeasureBowling, MeasureCamp, and what it takes to get those local, in-person relationships rolling successfully. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

WHY does Tim simply not give Python its due? Isn't Python a perfectly acceptable -- possibly even better -- option when it comes to diving into programming with data? It's open source, too. Some say it's easier to learn than R. And, frankly, isn't a programming language named after a snake just inherently cooler than one named after a letter of the alphabet? The fellas tackled the topic with Ryan Praskieviecz from EY on this episode...and possibly wound up tackling it in a way that will leave Python lovers that much more ready to strangle them (as pythons are wont to do). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

It's another one of those on-going lobby bar topics: how much of the data should be made available to whom and in what form? Should all of an organization's data be completely and freely available to everyone in the company, or is that a recipe for messy data being misinterpreted and misused? That's the topic tackled on this show, courtesy of a recommendation from Pawel Kapuscinski. As it happens, it's also Independence Day in the U.S. -- a fact with which the guys had a little fun. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.  

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.

Back in the day, we explained the difference between a visitor, a visit, and a pageview to stakeholders using an analogy of a person walking into a physical store. Now, digital channels are dominating, and physical stores are struggling...which is an opportunity to apply what we've learned about behavioral analysis on the web to in-(REAL)-store consumer behavior. Gary Angel from Digital Mortar (@digitalmortar) returned to the show (our first ever repeat guest!) to walk us through the many, many similarities, as well as to explain some of the unique challenges and opportunities of in-store analytics. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Change. It's scary. It's exhilarating. It's a song by Churchill. Sometimes, be it due to your manager, due to a corporate acquisition, or due to a job change, you just wind up with a voice in your head belting out, "You want me to change, change, change!" In this episode, Nancy Koons from Team Demystified joins us to dive into our collective histories when it comes to switching analytics tools -- where we stumbled, where we succeeded, and how we've come to approach the ever shifting landscape of analytics tools. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.  

It seems like a simple couple of questions: 1) When and where does the analyst's role start?, and 2) When and where does the analyst's role end? And, do the answers to either of these questions change based on the type of organization you're in (in-house versus agency)? As it turns out, Michael and Tim largely agree on the answers to these questions…but their agreement is pretty expansive, so this could be the episode that infuriates you, dear listener! Give it a listen, and be prepared to shake your fist at your earbuds! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.