Episode 118: Converted, with Neil Hoyne

Converted, Neil Hoyne

In digital marketing, we’re all striving to do what works. Yet whether we’re in-house or at an agency, we’re basing our definition of what works on a small sample size. Honestly, none of us can zoom out far enough to the general traits of successful marketing. That is, unless you’re someone who’s tasked with measuring marketing data at the organization with the single-largest quantity of it on the planet. 

My guest has gained a lot of insight on successful sellers in his role as Google’s Chief Measurement Strategist, where he has led over 2,500 engagements with the world’s biggest advertisers. He is a Senior Fellow at Wharton and holds degrees from Purdue University and UCLA. And in his book “Converted: The Data-Driven Way to Win Customers’ Hearts” the difference (I’m simplifying here) is that the  best ones humanize their funnels for their buyers. 

“Wait,” you say, “we already know  how to treat people nicely, we’ve known how to do that since humans have been around. You’re right, yet it’s surprising how we lose the human element is when we move commercial interactions online. My guest wants us to learn – or more correctly, relearn how to make our marketing more human. 

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Episode Reboot

Episode 103: Data First Marketing, with Janet Driscoll Miller

If you’ve listened to this show, you know that I believe we can base all the marketing decisions we make on data. This fourth book in our Marketing Books summer series talks with an author who’s extensively described how we get data in a form that helps us make decisions.

Janet Driscoll-Miller brings over twenty years of search engine marketing experience to Marketing Mojo and is considered a leading expert in her field. Janet has spoken at search engine and marketing conferences including Digital Summit, SMX Advanced, MarketingProfs B2B and Pubcon. Janet is also a frequent guest lecturer at colleges and universities including the University of Virginia and James Madison University.

In 2020, she co-authored Data-First Marketing with Julia Lim.

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Episode 101: Age of Customer Equity, with Allison Hartsoe

Think of the data you have on your customers as having value. It does, by the fact that the more you know your clients, the better you can serve them. This “unlocked potential revenue” of all your current customers can be quantified as your whole customer’s lifetime value (CLV) added together. 

This number is known by finance people as Customer Equity, but it’s much more than a mathematical formula. The value that VCs and public markets have put on assets such as loyalty programs and subscription lists is often greater than the value of a company’s capital assets!

While it might sound like it has to do with finance, this is all highly related to marketing. This is because each tactical decision gets vetted by whether it will optimize CLV; it becomes your company’s North Star.  

Allison Hartsoe has strategize d the digital customer analytics for dozens of Fortune 500 customers throughout her career. She now leads an analytics consultancy in Portland OR, Ambition Data, and published the book, “The Age of Customer Equity”,  in 2021. She has been published in Forbes.com, MIT Technology Review, and Fast Company and somewhere in between all this writing, she found time to cycle across the USA. 

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Episode 99: Tying Revenue back to Traffic, with Steffen Hedenbrandt

Disclaimer: When I bring technology vendors on the show, you should know that they are not sponsors or affiliates. They’re simply here to give you a broader perspective.

If you have been to the eye doctor for near or far sightedness, the equipment that’s likely been used to assess you is a phoropter. The part that’s put in front of your eyes looks somewhat like a pair of glasses, but it branches out from that with an imposing array of lenses, dials and machinery. You are shown an eye chart and the doctor flicks through alternate lenses, asking you to say whether the image is clearer with lens 1 or lens 2. When tests on the phoropter & other equipment is done, you end up with lens prescriptions that are right for you. 

This process isn’t unlike what’s behind marketing’s use of attribution models. They serve to show what impact advertising channels have on a company’s revenue, with pre-set models, each one weighing the impact of digital touchpoints differently. By attributing revenue back to the channels and campaigns that helped acquire it, you get a clearer view of what you are getting for your marketing dollar. 

Of course, marketers don’t use phoropters, but doing attribution analysis does take specific tools, and that’s what this episode takes us through. 

My guest is Steffen Hedenbrandt, who’s growth-oriented, data-driven and loves all parts of scaling a business.  He worked at places like Upwork and Airtame before cofounding DreamData, where he serves as the Chief Marketing Officer.He has a bachelor’s degree from Aalborg University and a Masters from Copenhagen Business School. 

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Episode 93: Visualizing & Making Data Valuable, with Eric Boissonneault

In its raw form, data’s not worth much. If refined and put together with other data, it can be worth a lot. Here are well-known brands that built their value by creating a useful visual experience out of user-generated data:

  • Notable Examples:
    • Glassdoor
    • Nest
    • Zapier
    • Mint
    • Robinhood
    • Flipboard
    • Ancestry
    • GoodReads

This episode’s guest will help us see what is possible once you have data in your hands. Eric Boissonneault grew up loving numbers, but it wasn’t until he saw a Hollywood movie about card players at age 16, that he knew how he would apply his skill. He taught himself poker and methodically played this ‘game of chance’ so well that He became a professional player through his years at University du Quebec à Montreal and beyond. 

After cashing his poker chips in, he wanted to show the business world how they could look at the data they have on-hand as the basis for decisions. In 2020 he founded data consulting company Systematik to help businesses untangle, collect, visualize and understand their data.

Listen in this episode for Eric’s explanation of how you can put a unique transformation or twist on the data you already have, and even make an application that monetizes the data. 

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How fast will you hit Google Sheets 5-million cell limit? If you have a spreadsheet with 5 tabs and each tab fills columns A to CW, and there is 10000 rows of data in each tab. It happens faster than you think.