Эпизоды
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We’ve all experienced this kind of scenario. A new company arrives on the market with a product that is highly functional and meets our needs phenomenally. The product is well designed and is of high quality. The care and focus of the manufacturer is obvious. The company gains a good foothold in the market, then decides to start adding more to it’s product line, and the focus starts to get lost. The company moves beyond it’s core business and quality drops.
What can digital analytics learn from this? Why does is it always perceived as a negative for a company to want to focus on it’s core business? What is the core business of digital analytics and what are some of the ways digital analytics strays from this?
On this week’s episode of the 33 Tangents podcast, Jason and Jim discuss what it means for an analytics team to have a clearly defined purpose and how easily they can be distracted with less valuable items without one. They also talk about the key things internal customers what from an analytics team and what distracts those internal customers from getting value.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
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We talk regularly, both internally and externally, about the concept of Sustainable Analytics. This is the practice of running your digital analytics program so that it focuses on providing value and support the key areas of the business while ensuring it is maintainable and accurate.
When looking at Sustainable Analytics, how can it help a digital analytics program be indispensable to a business? Wouldn’t doing less, not tracking everything for example, make a digital analytics program less valuable to a business?
On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss why having too many choices makes most organizations today are data rich and insight poor. They also detail the typical things analytics practices do that diminish the value of what they provide to an organization rather than increase it.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
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Пропущенные эпизоды?
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On last week’s episode we talked about the concept of businesses that can be seen as boring, but are very profitable. One of the key things with those businesses is that they are indispensable to their customers.
Over the years we’ve talked about the struggles with digital analytics, and while there has been progress, it’s still not seen as indispensable to a business. Why is that? What does it mean for something to be indispensable? What does a digital analytics team need to do to be indispensable to a business?
On this week’s episode of the 33 Tangents podcast, Jim and Jason continue their conversation with the theme of “boring yet profitable” businesses focusing on being integral to customer’s lives and digital analytics practices. They discuss behaviors within analytics practices that often prevent those teams from being seen critical to the success of the business and how to remedy that.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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What comes to mind when the term “boring yet profitable business” is used? Often times these are businesses that have developed & refined offerings that are integral and indispensable to their customers. They can often be derided for not being flashy or trendy, but that treatment fair?
What goes into reaching that kind of status? Are businesses actively thinking about reaching that point? What can prevent a business from reaching that?
On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss why the term “boring yet profitable business” is often not a compliment and why it’s used. They also talk about the characteristics common across these types of businesses and drives a business to reach this state.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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WHERE TO FIND USWebsite: www.33sticks.com
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We’re currently doing a series of episodes looking at the concepts of getting back to basics and simplicity. We’re looking at the benefits of refocusing attention on the key concepts and practices that can get overlooked or forgotten as analytics and testing programs age.
When working with a testing tool, it’s easy to get lost in the excitement of all of the possibilities. Those possibilities though may never materialize if proper planning doesn’t happen.
Looking through the lens of getting back to basics and simplicity, why is a testing roadmap critical to the success of a testing and optimization program? What are the key inputs for a testing roadmap? What happens if this key component is ignored?
On this week’s episode of the 33 Tangents podcast, Jason and Jim welcome Jason Boal, 33 Sticks’ Optimization Strategist to talk about one of the key foundational concepts for a successful optimization program. This discuss what goes into developing a testing roadmap, how to include business objectives, and what happens when a testing roadmap becomes neglected.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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In recent episodes we’ve looked at the concept of getting back to basics and simplicity. We’ve discussed the benefits of refocusing attention on the key concepts and practices that can get overlooked or forgotten as analytics and testing programs age.
When a large amount of data is collected, it is easy to get lost in all of the possible analysis that can be done. While it can be fun to search out insights, are there certain analyses that are core to a successful analytics program? Are there ones that should not be overlooked even though they may not be as appealing?
On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss why it is critical to remember that you need “crawl before you walk and run” and how to address outside pressure to move faster than the practice is able to handle. They also discuss the influences that can cause an organization to forget the basics.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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WHERE TO FIND USWebsite: www.33sticks.com
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We’ve started a series of episodes about getting back to basics and the value of simplicity. We’re looking at the benefits of refocusing attention on the key concepts and practices that can get overlooked or forgotten as analytics and testing programs age.
What are the best practices when it comes to designing a tag management architecture? What needs to be considered when deciding on a TMS approach? Is there a TMS methodology that provides the best approach?
On this week’s episode of the 33 Tangents podcast Jason and Jim are once again joined by Jenn Kunz to continue the conversation around the draw of over-engineering data collection solutions, this time with a focus on tag managers.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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A new implementation can be exciting! It’s a fresh canvas to work with. A new client can present opportunities to try out ideas you’ve only thought of. These are just two of the scenarios that analytics implementation engineers are presented with that create the pull to collect all of the data.
While this can be fun, exciting, and provide unique sets of data, there are problems that can result from an over-engineered analytics data collection solution. Problems such as:Many times the solution designer has ideas for novel data that the analytics team doesn’t find useful so there is data going unused. Development time that could have been spent on other more useful work has been wasted. The team now has a complex solution that requires more maintenance than it should.How can engineers and architects resist the urge to “tag everything”? What are steps that analytics teams can put in place to ensure the implementation work is focused on what is truly needed and valuable?
On this week’s episode of the 33 Tangents podcast, Jim and Jenn discuss their history with implementing analytics solutions and how they’ve fallen into this trap before. They talk through their thoughts on a less is more approach and how that applies to the current state of the digital analytics & martech space.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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Architecting data collection for multiple tools within a single vendor solution can be appear to be beneficial from the stand-point of reduced logic and streamlined integrations. It can seem simplified and streamlined resulting in a solution that can be managed with greater ease.
Are there pitfalls when it comes to single-vendor solutions? What problems with the data collection can present themselves?
On this week’s episode of the 33 Tangents podcast, Jim and Jason are joined by Jenn Kunz to discuss what organizations need to consider when working with a single vendor analytics & marketing technology solution (or even a martech stack that mostly, though not completely, consists of tools from a single vendor). They talk through the various risks, such as assumptions that are often made, and how teams can be set up for failure with a single-vendor solution.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
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Vendor lock-in occurs when a customer is made dependent on a vendor for products & services, unable to utilize other vendors without substantial cost.
How can organizations fall into a vendor lock-in situation? What are the costs that are associated with vendor lock-in? How can point analytics solutions lead to vendor-lock in?
On this week’s episode of the 33 Tangents Podcast, Jim and Jason discuss what can lead organizations to get stuck in a vendor lock-in situation. While vendor lock-in is most often considered undesirable scenario, they also discuss the potential benefits that can come with it.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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Risks of point analytics solutions include myopic vision and teams working in isolation. Teams implement solutions that fit a small amount of needs that do not take the needs of the organization, or the impacts to the organization, into account. The downstream result is siloed data creating incomplete insights and even a poor customer experience.
If you have a customer experience this is supported by multiple data/platform touch points, and analytics is siloed, everyone may be able to claim success while in actuality it could be a terrible by the customer’s perspective.
On this week’s episode of the 33 Tangents Podcast, Jim and Jason discuss a recent experience Jason had at a major retailer and what organizations need to consider to prevent it from happening.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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When people think of analytics data, many often think of “cold hard facts”, but this is can be very inaccurate. Like many other things in life, data can be skewed, biased, or even outright corrupted. Everyone has a bias and for an analytics team to act as an independent voice in an organization, steps need to be taken to ensure bias does not impact a team’s ability to deliver on that promise.
Putting unintentional issues and flaws with data aside, what steps can those that lead analytics programs do to ensure data is not intentionally or unintentionally influenced by biases? What can be done to ensure an analytics team does not create conflicts of interest?
On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss how to address conflicts of interest and developing a plan to prevent them from becoming a reality. They also talk about why many times this is a topic that is avoided within analytics teams.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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WHERE TO FIND USWebsite: www.33sticks.com
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Conflicts of interest can do significant damage to an analytics practice. It doesn’t take much for conflicts of interest to occur and in many cases all it takes is the perception of one.
What are the potential conflicts of interest that an analytics program can face? What impact do they have on an analytics program? How do these conflicts of interest develop?
On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss the different types of situations analytics teams can find themselves in that could create a conflict of interest as well why it is critical to be diligent about preventing even the appearance of a conflict of interest.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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Many organizations view teams and divisions in very basic terms. They are either profit centers or cost centers. Profit centers are those parts of the organization that have direct impact on revenue while cost centers are essential parts of the business but don’t impact revenue. Cost centers are viewed as something that needs to be contained.
Since analytics teams do not have direct impact on revenue, how can they be viewed as more than cost centers with their contributions to the organization? Why is it important for analytics directors and managers to evaluate the practice this way?
On this week’s episode of the 33 Tangents podcast, Jason and Jim discuss how value created for an organization is more important for an analytics organization than being close to revenue generation as well as the need to highlight the value created.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
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We’re currently taking a break for the holidays. We’ll be back with new episodes starting on January 3, 2024.
This episode originally aired on November 16, 2022.
As the saying goes, one rotten apple spoils the bunch. In the real world, one person can ruin an entire team.
How will a low level of data literacy impact an organization? Can you think of example of organizations where it’s apparent where they are not very data literate?
On this week’s episode of the 33 Tangents podcast, Jason and Jim continue their conversation around data literacy, focusing on how low levels of data literacy can impact an entire organization. Looking back at past experiences, they discuss the causes for low data literacy in organizations and how companies made bad decisions due to it.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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We’re currently taking a break for the holidays. We’ll be back with new episodes starting on January 3, 2024.
This episode originally aired on August 3, 2022.
The people that make up the digital analytics space come from a variety of backgrounds and have wildly different educational backgrounds and career paths. Unlike other careers, there are no prescribed paths or series of steps to get into and move forward with a career in digital analytics.
What are some of the common traits that have made these folks with all sorts of different journeys? What are some key things that will make someone successful in digital analytics?
On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss what they see as key factors to have a successful and thriving career in digital analytics. They draw upon their intended career paths, their experience getting into the industry, and those they have worked with.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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Analytics teams are realizing that it’s no longer good enough to just check boxes to show value. They need to show how the organization benefits from both the team in place and the tools that have been implemented. Analytics practices need to evolve and directors have to look at the practice as business unto itself.
On social media platforms like LinkedIn and Instagram we see a lot of the hustle and entrepreneur hype. It doesn’t take much to find posts like “look how much I made in my first year” and “here are 5 easy steps to be your own boss”. This is dangerous because it oversimplifies what it means to own and run a business. It also sets the precenident that you can only explore being an entrepreneur by quitting your job and starting your own business.
What does it mean to run the analytics practice like a business? What does an analytics director need to consider? What is the impact to the organization?
On this week’s episode of the 33 Tangents podcast, Jason and Jim first start talking about the dangers of the entrepreneur and hustle hype on social media and what is actually behind that. They then discuss what it means to run your analytics team like a business, the steps and analytics director can take, and how you can make your internal shareholders feel like they are making a choice.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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We’re currently taking a break for a new addition to the family. We’ll be back with new episodes starting on December 6, 2023.
This episode originally aired on April 13, 2022.
Server-side tracking is being pitched as the next great leap forward in analytics and marketing data collection. It is positioned as the cure for all current ills facing digital analytics and marketing data collection as well as those to come.
What is it? Is it overhyped? What can it really do and what real problems does it solve? What are the pitfalls? Are you risking getting stuck in a particular ecosystem?
On this week’s episode of the 33 Tangents podcast, Jason, Jenn, and Jim discuss what they’re seeing with server-side tracking and if they think it will solve the problems it is pitched to solve.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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We’re currently taking a break for a new addition to the family. We’ll be back with new episodes starting on December 6, 2023.
This episode originally aired on February 16, 2022.
Requests for Proposal (RFPs) are a staple when it comes to the procurement of products and services. They are often dreaded by not just those completing them, but by those running them.
What value can a company get by running an RFP to procure services? Is there anything a potential vendor be aware of with an RFP?
On this week’s episode of the 33 Tangents podcast, Jason and Jim discuss aspects of selling services, their experiences with RFPs, and the pros and cons they see with them.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
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We’re currently taking a break for a new addition to the family. We’ll be back with new episodes starting on December 6, 2023.
This episode originally aired on July 20, 2022.
Over last couple of years, the summer vacation season has provided the opportunity to talk about what is often seen as a controversial topic…Unlimited PTO. It is something that has its fervent proponents and its ardent detractors. It’s a conversation that is ever evolving and where we people have changed their position on it.
The first conversation regarding this topic was back in 2019 on episode 64 and it has been two years since we last discussed it.
On this week’s episode, Jim and Jason discuss what they have learned regarding unlimited PTO in that time and if & how their perspectives have changed. They also discuss new ways they have seen others approach unlimited PTO as well as red flags regarding it.
THANK YOUWe know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.
And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.
WHERE TO LISTENThe 33 Tangents video simulcast is now available on YouTube
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