Emily Hopper
Emily is a Sr Data Scientist at JW Player, the largest video player on the open web, where she has worked since January 2021. Prior to this, Emily was a research seismologist, studying deep Earth structure using earthquake data.
Sessions
12-01
21:00
30min
Using feedback loops to tune predictive models in a video ad marketplace
Emily Hopper
For video advertisers, precisely hitting their ad performance goals is critical. Undershooting on campaign viewability objectives means spending money on ads that nobody watches, while overshooting them can mean vastly reducing the available ad slots. At JW Player, we combine predictive models with PID controllers to tune decision thresholds and deliver the maximum possible reach to our advertisers while hitting their goals.
Talk Track I