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{PODCAST} In-Ear Insights: Data-Driven Marketing Tactics

In this week’s In-Ear Insights, Katie and Chris evaluate what marketing tactics are worth doing and not doing, based on data, experience, and company values. Learn how we decide what events to speak at, what podcasts to guest on, and more. You’ll see a practical use for attribution analysis when it comes to making very […]

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{PODCAST} In-Ear Insights: 2021 Marketing Challenges

{PODCAST} In-Ear Insights: 2021 Marketing Challenges

In this episode of In-Ear Insights, Katie and Chris tackle the challenges you’ve listed in our quarterly survey, especially around scaling your marketing, lead generation, and dealing with incredible uncertainty. How do we scale? How do we generate more leads? Tune in to find out! [podcastsponsor] Watch the video here: Can’t see anything? Watch it […]

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{PODCAST} In-Ear Insights: Shiny Object Syndrome and Tech Arrogance

{PODCAST} In-Ear Insights: Shiny Object Syndrome and Tech Arrogance

In this week’s In-Ear Insights, Katie and Chris discuss shiny object syndrome, blind spots in your marketing technology (especially around AI and machine learning) and how arrogance can lead to substantial technical problems in your tech stack and company culture. How can you avoid pitfalls and blind spots? How do you manage AI and machine […]

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Recycling and Upcycling Content Marketing

Recycling and Upcycling Content Marketing

In the wake of our recent webinar and AMA on content marketing and AI, one of the persistent questions folks have is, “well, what if I don’t have access to sophisticated AI tools to generate content at scale? How can I compete?”. This is a perfectly valid question, and the answer is recycling and upcycling […]

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{PODCAST} In-Ear Insights: Evaluating New Technologies

Based on a question from our analytics community, in this episode of In-Ear Insights, Katie and Chris tackle the challenges of new technology. When a new piece of technology makes a big splash, how do we evaluate it? How should we assess whether it’s right for us, whether it makes sense to pursue it? What […]

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{PODCAST} In-Ear Insights: Marketing Strategy on a Shoestring Budget

What data should you look at to decide marketing strategy? How do you use that data with a shoestring budget during leaner times? In this episode, Katie and Chris walk through common Google Analytics metrics that lend themselves well to marketing strategy decisions, and a KPI decision framework. [podcastsponsor] Watch the video here: Listen to […]

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Marketing Exposure

Should You Do Marketing Activities for Exposure?

We’ve all heard it before: “It’s great exposure”, and its many variants. These requests come from fellow marketers asking for us to participate in something – speaking at a conference, writing a guest blog post, appearing on a podcast, and inevitably, the “exposure” is in lieu of a more tangible form of compensation. For some, […]

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The Return of Inbound Marketing Strategy

The Return of Inbound Marketing Strategy

Inbound marketing was created out of necessity. Back in 2006, Brian Halligan and Dharmesh Shah started Hubspot and championed the concept of inbound marketing, the idea that customers would use digital technologies to seek companies out, rather than companies chasing potential customers. The promises of inbound marketing were lower costs and better quality customers, because […]

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{PODCAST} In-Ear Insights: Finding Product Market Fit

In this episode, Katie and Chris discuss finding product market fit in turbulent economic conditions. How do you determine what constitutes a need versus a want? What are the pain points of a target customer? Listen in for useful tips about finding product-market fit and some key proof points for your product marketing. [podcastsponsor] Listen […]

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Fail Less A Day In The Life

Training Your Machine Learning Model with Your “Day In The Life”

I remember years ago when I was talking with Mike Volpe and he said with a bit of frustration “Marketers are lazy.” This is a problem since training a machine learning model for any kind of marketing is a lot of labor. Of course, you have to keep in mind that Mike, at that time […]

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