← Home

Google Ad Manager: Forecasting


Google Ad Manager's forecasting feature helps web, app and video publishers periodically estimate how much traffic they can expect across a range of audience segments. While forecasts can accurately predict the future based on historical data they also need to reflect one-off events like the launch of a new app next month or a bombshell news story dropping next week if they're to be useful in helping publishers maximize their revenue without over-selling their inventory.


Conducted over more than a year, this project involved partnering with a dedicated researcher, a small engineering team dispersed across New York City and Chicago, product managers, and visual designers to plan and conduct several research studies, hold cross-disciplinary workshops, formulate and refine designs, prototype, build, and deliver two iterations of ’forecast adjustments'.


Successful closed beta, open beta and GA releases of ‘CSV upload’ and ‘visual editor’ adjustments with encouraging adoption and engagement rates and positive feedback from targeted publishers.

Google Ad Manager marketing site →

Project goal.
Problem/persona: Detailed summary of user needs and research findings used for ideation.
Reflection: Distilling ideas from the first design workshop (and catching some shuteye).
Early sketch for 'CSV upload' from second, 3 day intensive workshop in Chicago.
Early sketch for 'visual editor' from second, 3 day intensive workshop in Chicago.
Finished UI: Showing 'CSV upload', 'visual editor' and 'related' adjustments.
CSV upload: Dummy CSV showing human and machine readable targeting, forecast, historical and adjustment data.
Visual editor: Showing UI based adjustment controls.