About PredictWise

PredictWise provides completely tailored audiences for any ad campaign instantaneously, helping progressive find their most high-yield target change-makers better understand, activate and grow their audience.

PredictWise builds on massive survey and device data collected from Millions of American cell-phones over the last three years, best-in-class Deep Learning, and our ID resolution tech able to find people no matter where they are – be it on mobile phones, on desktop computers, or playing Candy Crush.

Team

Tobias Konitzer
Founder and CEO

Tobi has a Ph.D. from Stanford University, and has a background in researching public opinion at the forefront of Machine Learning, leveraging a plethora of disparate data streams: including everything from cell-phone telemetry data to survey data to behavioral news consumption data. Tobi has published his work widely both in the academic and popular press, including in The Washington Post, Slate, and BuzzFeed. His research has been covered by The New York Times and The Atlantic, among others. Before founding PredictWise, Tobi worked in research and survey science for Facebook.

Gabrielle Cardoza
Lead Business Development and Sales

Gaby is a San Francisco Bay Area native and experienced digital marketing advertising professional. She developed her multifaceted skill set through her experience working in both traditional brand marketing and media strategy. In her past roles she has successfully contributed to large scale digital campaigns for various clients including: Voters Not Politicians, ACLU California, AFSCME, SEIU, Governor & former Presidential candidate Jay Inslee and multiple California ballot propositions. As a first-generation American, daughter of refugee Central American immigrants and native Spanish speaker Gabrielle is proud to be a Latinx in the progressive digital space.

David Rothschild
Founder

David has a Ph.D. in applied economics from the Wharton School of Business at the University of Pennsylvania. He has written extensively, in both the academic and popular press. His work pushes the boundaries on varying data and methods: polling, prediction markets, social media and online data, and large behavioral and administrative data. His work focuses on solving the most relevant applied questions including: mapping and updating public opinion, the market for news, effect of advertising, finance, and an economist take on public policy.

Jeff Quinn
Lead Technology and Data Infrastructure

Jeff Quinn is a data engineer specializing in distributed computing. He has vast managerial experience, and a deep desire for progressive change. Jeff has worked at a variety of early stage technology companies including Outvote.io, BlueVoyant, and NunaHealth.