Case Study: Photobucket achieves more accurate ad forecasting and increased revenue with SAS Intelligent Advertising for Publishers

A SAS Case Study

Preview of the Photobucket Case Study

Advertising intelligence gives a clearer picture

Photobucket, a leading photo- and video-sharing site with over 100 million registered users and 45 million monthly uniques, needed clearer visibility into ad inventory to package and sell its audience more profitably. The company’s challenge was to improve advertising forecasts, sales performance management and revenue visibility so it could better monetize placements, rate cards and product offerings.

Photobucket implemented SAS Intelligent Advertising for Publishers, working with SAS to create a custom taxonomy, train users, load data and run QA — including system adjustments to handle Photobucket’s reserved-but-uncreative campaigns. The result was consolidated data and simulation-based forecasting, improved forecasting accuracy and sales monitoring, no lost impressions or revenue during migration, and a more holistic platform that lets Photobucket maximize the value of its audience and content.


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Photobucket

Darren Kelly

Chief Revenue Officer


SAS

305 Case Studies