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Michael Kaushansky is one of today\\u2019s brightest measurement leaders. He comes on the show and shares the story of how he came to be in the digital marketing space and how he along with other mathematicians came to birth what is essentially known as attribution today, tune in to this episode to also hear what he foresees as its inevitable future!

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Guest bio:

Michael Kaushansky serves as Chief Data Officer and President of Havas Helia. He has direct oversight and responsibility for the agency\\u2019s data, analytics, and marketing technology plus managing and advancing Helia which is Havas\\u2019s relationship marketing CRM agency. Michael has been involved in the field of data analytics and business measurement for nearly two decades and has held roles of increasing responsibility at GE, Target, and GlaxoSmithKline. Prior to Havas, Michael led all marketing analytics at Ogilvy where his work spanned leading global brand advertisers including UPS, IBM, Nestl\\xe9, CISCO, and SAP. He has a bachelor\\u2019s degree in mathematics and a master\\u2019s in applied mathematics and operational research and is an advisor to Rutgers University\\u2019s big data graduate program.

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Key takeaways:

[1:49] I introduce today\\u2019s guest, Michael Kaushansky, and ask him to walk us through his measurement career trajectory from data set days to today.

[3:42] Michael takes the time to break down three use cases from his time at Fingerhut, in the field of healthcare and in the financial services industry. He explains how he identified which data set points to work with for each, as well as what results these applications yielded, at the time.

[12:35] After the financial crisis, Michael found a way to translate his knowledge of working with data sets to tracking ads, searches, and behaviors and moved into digital advertising.

[15:25] Budgets were getting bigger and bigger for digital, but the way we were allocating our budgets was still based on a cost-per-thousand basis and CTR. Michael shares the work he began to do when he understood the value of the data set available to him with the World Wide Web.

[17:30] Michael touches on the information you can gather about consumers, the relative comparison aspect of marketing and how it ties into the debate on privacy.

[20:03] In 2009\\u201310, nobody knew where to start in order to reach and engage the customer in the digital world. \\u2026 Enter mathematicians! Michael shares the story of how they built what is now known as the path to purchase tracking.

[24:00] Michael shares his definition of attribution and this leads to an in-depth discussion on the importance of crediting your marketing activities with their success rates in getting consumers to move within your sales funnel. This, in turn, enables you to better allocate budgets and remain competitive in the marketplace.

[31:07] You can\\u2019t set it and forget it anymore; how targeting and real-time information gives attribution, data and analytics the ability to keep your decision-making process nimble and your costs under control.

[34:19] Michael speaks to the new frontier \\u2014 because consumers are spending more and more time on their devices, doing attribution in the digital space for brick and mortar purchases becomes imperative.

[39:10] The failure to adopt advanced analytics and attribution is unfortunately complex; Michael shares what he sees as the three main barriers to adoption.

[42:25] I unpack the last barrier to adoption that Michael highlighted \\u2014 a previous failure \\u2014 and offer ways to circumvent those and ensure a successful integration. Michael offers that all advertisers and agencies will have to move towards attribution \\u2014 it is where things are heading whether they like it or not and the faster they do it, the better off they will be.

[48:56] Despite attribution not being talked about as much in conference circles, there has been an increase in big players integrating the practice. I talk about the progression of adoption we usually see for new practices, and what big enterprises usually drive into a space after they go all in.

[53:01] Michael shares one thing that he knows that no one else knows: always ask for a sample data set. I thank him for coming on the podcast and sharing so much of her experience.

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Be sure to tune in for the next episode and thanks for listening!

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Connect with our guest:

Michael Kaushansky on LinkedIn

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About your host:

Jeff Greenfield is the Co-Founder and Chief Attribution Officer of C3 Metrics. As the chief architect of the platform, Greenfield worked directly with the former CEO and Chairmen of Nielsen to solve advertising\\u2019s attribution problem.

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Greenfield\\u2019s history of technology and marketing initiatives has served blue-chip clients including GlaxoSmithKline, Kimberly-Clark, Sony BMG, Black & Decker, Forest Labs, Plum Creek, and more.

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Prior to co-founding C3 Metrics, Greenfield was a recognized thought leader in the area of Branded Content as publisher of Branded Entertainment Monthly, a joint effort with VNU Media, detailing industry statistics, gaps, and trends. He\\u2019s been a featured speaker at NAPTE, The Next Big Idea, and a news source in The New York Times, The Washington Post, The Wall Street Journal, ABC, CBS, CNET, and Investor\\u2019s Business Daily. Greenfield studied Biochemistry at the University of Maryland, holds dual degrees from Southern California University of Health Sciences and is an instrument-rated pilot.

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Jeff Greenfield at C3 metrics

Jeff Greenfield on LinkedIn

Jeff Greenfield on Twitter