Episode 27: Looking Ahead At Customer Lifetime Value
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This is a podcast episode titled, Episode 27: Looking Ahead At Customer Lifetime Value. The summary for this episode is: <p>Love geeking out about metrics, data, and Customer Lifetime Value? (I mean, that’s a good time right there ;)) Then, this week’s episode of Spamming Zero is for you!</p><p>We’re joined by<strong> </strong>Assistant Professor of Marketing at <a href="https://www.linkedin.com/school/goizueta-business-school/" rel="noopener noreferrer" target="_blank">Emory University – Goizueta Business School</a> and CLV Expert, <a href="https://www.linkedin.com/in/danielmcc/" rel="noopener noreferrer" target="_blank">Daniel McCarthy</a>, who brings a whole lot of fascinating thoughts to the table. </p><p><br></p><p>What’s Covered? </p><ul><li>How Dan got into CLV - and the key lessons he’s learned so far</li><li>Our expert’s take on automation as it relates to customer service</li><li>Helping brands adopt new metrics</li><li>Starting with the basics - crawl, walk, run </li><li>Getting buy in: what these metrics mean to today’s investors</li><li>Historical measurement & forward predictions</li><li>Avoiding “bad profits”</li><li>Understanding the drivers behind the data</li><li>And more </li></ul><p><em>Ready for more fantastic Spamming Zero conversations ahead? Listen, rate, and subscribe on</em><a href="https://listen.casted.us/public/126/Spamming-Zero-50f3e248/1540dfdf" rel="noopener noreferrer" target="_blank"><em> Casted</em></a><em>,</em><a href="https://podcasts.apple.com/us/podcast/episode-1-introduction-to-spamming-zero/id1626323789?i=1000564895366" rel="noopener noreferrer" target="_blank"><em> Apple Podcast</em></a><em>, or</em><a href="https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5jYXN0ZWQudXMvMTI2L1NwYW1taW5nLVplcm8tNTBmM2UyNDgvZmVlZA" rel="noopener noreferrer" target="_blank"><em> Google podcasts</em></a><em>. </em></p>
DESCRIPTION
Love geeking out about metrics, data, and Customer Lifetime Value? (I mean, that’s a good time right there ;)) Then, this week’s episode of Spamming Zero is for you!
We’re joined by Assistant Professor of Marketing at Emory University – Goizueta Business School and CLV Expert, Daniel McCarthy, who brings a whole lot of fascinating thoughts to the table.
What’s Covered?
- How Dan got into CLV - and the key lessons he’s learned so far
- Our expert’s take on automation as it relates to customer service
- Helping brands adopt new metrics
- Starting with the basics - crawl, walk, run
- Getting buy in: what these metrics mean to today’s investors
- Historical measurement & forward predictions
- Avoiding “bad profits”
- Understanding the drivers behind the data
- And more
Ready for more fantastic Spamming Zero conversations ahead? Listen, rate, and subscribe on Casted, Apple Podcast, or Google podcasts.
Today's Host

Brian Schiff
|CEO of Flip

James Gilbert
|CMO of Flip
Today's Guests

Daniel McCarthy
|Assistant Professor of Marketing at Emory University - Goizueta Business School
I am an Assistant Professor of Marketing at Emory University's Goizueta School of Business. My research specialty is the application of leading-edge statistical methodology to contemporary empirical marketing problems. My research interests include customer lifetime value, missing and aggregated data problems, and the marketing/finance interface.
My research specialty is “customer-based corporate valuation” which brings together all of these research interests. It is a methodology for valuing companies from the “bottom up” by predicting what those companies’ customers will do in the future. My work in this area has been featured in major media outlets such as the Harvard Business Review, Wall Street Journal, FT, Fortune, Barron’s, Inc Magazine, the Economist, CNBC, and CFO Magazine. I won the Don Lehmann, Gary Lilien Practice Prize, MSI Alden G. Clayton, ASA, ISMS, and Shankar-Spiegel awards and was a finalist for the Paul Green, John A. Howard/AMA, JM Hunt/Maynard, and MSI H. Paul Root Awards for this work. I am grateful to Adobe Corporation for $50,000 in research support for it.
My research has been accepted and published in top-tier academic journals such as the Journal of Marketing Research, Marketing Science, Journal of Marketing, Journal of the American Statistical Association: Theory and Methods, and Annals of Applied Statistics.
In 2015, I co-founded a predictive analytics company, Zodiac, where I was the Chief Statistician. Zodiac was acquired by Nike in March 2018. I subsequently co-founded Theta Equity Partners to commercialize my work on customer-based corporate valuation.
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