Anti-LGBTQ+ Hate Crime Data, 2022 Edition

Anti-LGBTQ+ Hate Crime Data, 2022 Edition

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 […]

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THE BEST DAY AND TIME TO ISSUE A WIRE SERVICE PRESS RELEASE

The Best Day and Time to Issue a Wire Service Press Release (2022 Data)

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, […]

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{PODCAST} In-Ear Insights: Will AI Wipe Out Data Science Jobs?

{PODCAST} In-Ear Insights: Will AI Wipe Out Data Science Jobs?

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. Watch the video here: Can’t see anything? Watch it on YouTube here. […]

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Pumpkin Spice Data Analytics, 2021 Edition

Pumpkin Spice Data Analytics, 2021 Edition

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 […]

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Case Study: Using Influencer Identification Data

Case Study: Using Influencer Identification Data to Build Audience

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 […]

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{PODCAST} In-Ear Insights: Behind The Scenes Instagram Data

{PODCAST} In-Ear Insights: Behind The Scenes Instagram Data

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 […]

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So What? The Marketing Analytics and Insights Show

So What? How do I clean and prep my data for analysis – part 3

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 […]

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So What? The Marketing Analytics and Insights Show

So What? How do I clean and prep my data for analysis – part 2

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 prepping your data for analysis. We walk through pulling your planning from […]

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{PODCAST} In-Ear Insights: What to Do When Data Doesn't Have Answers

{PODCAST} In-Ear Insights: What to Do When Data Doesn’t Have Answers

In this week’s In-Ear Insights, Katie and Chris tackle an unusual situation. What happens when data doesn’t have answers? What happens when data simply doesn’t provide any useful insights beyond confirmation of what you already knew? We review what your options are, and what might have gone wrong that led to the situation. If you’ve […]

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{PODCAST} In-Ear Insights: Avoiding Data-Driven Marketing Traps

{PODCAST} In-Ear Insights: Avoiding Data-Driven Marketing Traps

In this episode of In-Ear Insights, Katie and Chris dig into this key question: is there such a thing as being too data-driven? “I’m not sure if you and I have discussed this in the past but it’s been on my mind a lot lately, and I’m not sure if there’s formal thought around this: […]

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