Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Patrick Miller

Patrick Miller
Senior Data Scientist, Civis Analytics

Patrick Miller is a data scientist at Civis Analytics specializing in survey data analysis, causal inference, and production R. Patrick holds a PhD in quantitative psychology, where he studied the applications of machine learning to analysis psychological and behavioral data. You can usually find him at his desk drinking tea and listening to Sufjan Stevens.

Sessions

3:50pm–4:30pm Thursday, March 28, 2019
Testing ad content with survey experiments
Data Science, Machine Learning & AI
 Location: 2010
Secondary topics:  AI and Data technologies in the cloud, AI and machine learning in the enterprise, Media, Marketing, Advertising
Patrick Miller (Civis Analytics)
Average rating: ***..
(3.40, 5 ratings)
Brands that test the content of ads before they are shown to an audience can avoid spending resources on the 11% of ads that cause backlash. Using a survey experiment to choose the best ad typically improves effectiveness of marketing campaigns by 13% on average, and up to 37% for particular demographics. Patrick Miller explores data collection and statistical methods for analysis and reporting. Read more.