In this week’s In-Ear Insights, Katie and Chris discuss the challenges of replicating data and what to do when asked to use data to make conclusions. They explain that the lack of information can be a hindrance to making accurate comparisons, but having domain expertise and knowledge of available data sources can help in creating […]
Read More… from In-Ear Insights: Risks of Replicating Data Without Sources
In this week’s In-Ear Insights, Katie and Chris tackle how to sell the value of data to stakeholders like the C-Suite. How do you convince people of the merits of data, of investing in data programs and projects, and ultimately to become champions for the analytics work you do? Tune in to find out! [podcastsponsor] […]
Read More… from {PODCAST} In-Ear Insights: Selling The Value of Data To Stakeholders
In this episode, Katie and Chris dig into what data-driven marketing is and is not. What is data-driven marketing? Who is data-driven? Is there a safe balance between opinion-led marketing and data-driven marketing? Tune in to find out! Data driven means making decisions with data when the data doesn’t tell you what you want to […]
Read More… from {PODCAST} In-Ear Insights: What is Data-Driven Marketing?
The wheels of time grind onward as the days shorten and we look to the back half of the year. Nothing heralds marketing’s busiest time like the dawn of that first major fall trend, pumpkin spice season. Nothing says pumpkin spice like some pumpkin spice-flavored data analysis. Let’s dig into the flavor of fall and […]
In this week’s episode, Katie and Chris look at the use of predictive analytics to forecast trends and learn when to put marketing campaigns into market. They examine some of the data around pumpkin spice season as well as other seasonal trends. Ever wonder when the best time is to put a seasonal campaign into […]
Read More… from {PODCAST} In-Ear Insights: Predictive Analytics and Trend Forecasting
In this week’s episode, Katie and Chris walk through what big data analytics are. What criteria separates regular data and big data? What are the four Vs of big data? How do big data analytics play a role in marketing analytics? Why don’t more marketers use big data and big data analytics to improve marketing? […]
Read More… from {PODCAST} In-Ear Insights: What is Big Data Analytics?
It’s a regular data party in marketing these days with all sorts of data party terms being bandied about, like first party data, second party data, third party data, and the new entrant, zero party data. What exactly do these terms mean, and why should we care? First, let’s understand what a party refers to. […]
Read More… from What is First Party Data, Second Party Data, and Third Party Data?
Part of Pride Month is acknowledging that while American society has come a long way towards accepting lesbians, gays, bisexuals, transgender, and queer folks, there’s still a long way to go and a lot of work for all of us to do. In particular, over the past 10 years we’ve seen some disturbing trends in […]
In a recent conversation in the Spin Sucks Slack group (a sister group of our Analytics for Marketers Slack group, join both of them!), Meredith asked, “any updated best practices on timing to issue press releases, with regards to days of the week? For years, from my agency days, I had understood Tuesday or Wednesday, […]
Read More… from The Best Day and Time to Issue a Wire Service Press Release (2022 Data)
In this week’s In-Ear Insights, Katie and Chris discuss whether AI and machine learning will imperil the career of the data scientist. What is data science, and how much of it can be automated and handled by machines? Tune in to find out. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube […]
Read More… from {PODCAST} In-Ear Insights: Will AI Wipe Out Data Science Jobs?
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