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?
It’s pumpkin spice season again, and nothing says pumpkin spice like some pumpkin spice-flavored data analysis. Let’s dig into the flavor of fall and see what’s new this year. Pumpkin Spice Search Interest First, let’s look at the trend itself. Using a basket of search terms such as pumpkin spice, pumpkin spice latte, pumpkin spice […]
One of the challenges of marketing data is putting it to use. It’s fine to run reports and provide analysis, but if you don’t make decisions with your data, if you don’t change what you’re doing, then the data is of limited value. What does it look like when we put data to immediate, practical […]
Read More… from Case Study: Using Influencer Identification Data to Build Audience
In this week’s episode, Katie and Chris preview the rough draft of an upcoming talk about Instagram Data for the Agorapulse Instagram summit. Go behind the scenes on the talk, the research that went into it, and how we take data and try to make a coherent story about it. Please note the data shown […]
Read More… from {PODCAST} In-Ear Insights: Behind The Scenes Instagram Data
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on Facebook Live or YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this week’s episode of So What? we focus on bringing the data set into machine learning software. We walk through more […]
Read More… from So What? How do I clean and prep my data for analysis – part 3
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