Accurate Attribution with Rauxas VP of Data Science Izzet Agoren
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Izzet Agoren knows:\\xa0 Accurate attribution models cannot be built by data scientists alone\\u2026you need a team who understands how media operates in the real world.\\xa0 An electrical engineer who launched his own ISP in 2002 in Cypress,\\xa0Izzet\'s search for the signal in the noise led him to AdTech.\\xa0 As the VP of Data Science for Rauxa, hear how he\\u2019s overcome the barriers to better measurement.
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Guest bio:
Izzet is a technically trained engineer who found his way to ad tech and data science. His vast contributions include the VAST 4.0 and VAST 4.1 standards with the IAB Tech Lab, he has served on the Mobile Marketing Associations Messaging and Programmatic Committees, IoT Council; and the Internet Advertising Bureau\'s Programmatic and Data councils.
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While at Penn State, he co-authored multiple, peer-reviewed publications in the area of real-time video communications for 4G wireless communications and his work at Motorola lead to focused development of efficiencies in IEFT standards that defined VOIP on packet networks for mobile carriers.
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He founded Extended Broadband in 2002, a regional fixed wireless internet service provider that spanned four countries \\u2014 all of which had strained diplomatic and political circumstances. In 2007 Izzet joined a team that won four media awards for a Semantic targeting technology in marketing technologies. Izzet\\u2019s further engagements with Integral Ad Science and TRUSTe exposed his technical background to the enabling capabilities that verification and privacy provide the digital marketing and advertising landscape.
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He is currently serving as the VP of Data Intelligence at Rauxa, where he leads Artificial Intelligence and machine learning product development.
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He is an elected Senior Member of the Institute of Electrical and Electronics Engineers, holds a Master\\u2019s degree in Electrical Engineering, and is a Fulbright Scholar.
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Key takeaways:
[2:00] I introduce today\\u2019s guest, Izzet Agoren, and ask him about how he came to be where he is today.
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[5:24] Izzet remembers when he launched his own ISP in Cypress in 2002, climbing on roofs and boosting microwave signals with antennas and amplifiers.
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[9:12] Moving into his position at Rauxa, Izzet was tasked with elevating the function of the department from being descriptive to prescriptive with data.
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[12:17] Izzet and I unpack the concept of viewability and the issues surrounding it \\u2014 a lot of ads aren\\u2019t seen but models don\\u2019t take it into account \\u2014 most of the models are made by data scientists who have zero media experience and the model outputs don\\u2019t make sense.
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[15:53] Izzet shares his steps to making a business, a department, or a team more proactive: it always begins as a philosophical concept.\\xa0 He also touches on the two ways data & better measurement can be proactivity presented to a client: (i) as a media product or (ii) as a data product.
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[18:56] In some cases, clients know that they\\u2019re missing out by not using attribution. They are unable to pursue this ROI either because they\\u2019re not ready or because there\\u2019s a perception that it\\u2019s either too complex or too expensive to deploy or that there will be political barriers.
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[20:02] Measurement is \\u2018table stakes\\u2019 to buying media. Izzet has been kicked out of meetings for saying so.
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[21:37] Izzet hopes that embracing attribution won\\u2019t take a new generation of people as the alternative is that the walled gardens will take it on. In the end, this acceptance movement should begin with more marketers bringing this function in-house.
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[26:56] In terms of the future, Izzet believes that attribution should get progressively easier as offline behaviors and channels become digitized. Data points will become deterministic and make the analysis more accurate, near real-time.
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[29:52] Is having complete data possible?
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[32:04] Izzet shares one thing he knows that no one else does \\u2014 he doesn\\u2019t profess to know any more than anyone, but he does share a recent discovery of his. I thank him for coming on the podcast and sharing so much of his 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:
Izzet Agoren on LinkedIn
Izzet Agoren on Twitter
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Mentioned in this episode:
Book: Causality: Models, Reasoning and Inference, by Judea Pearl
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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 have 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
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