Ad quality on TV: predicting television audience retention

This paper explores the impact of television advertisements on audience retention using data collected from television set-top boxes (STBs)1 . In particular, we discuss how the accuracy of the retention score, a measure of ad quality, is improved by using the recent “click history” of the STBs tuned to the ad. These retention scores are related to – and are a natural extension of – other measures of ad quality that have been used in online advertising since at least 2005 [2]. Like their online counterparts, TV retention scores could be used to determine if an ad should be eligible to enter the inventory auction and, if it is, how highly the ad should be ranked [1]. A retention score (RS) could also be used by the auction system for pricing, or by the advertiser to compare different creatives for the same product.

• Type: Conference
• Year: 2009
• Where: KDD
• Authors: Yannet Interian, Sundar Dorai-Raj, Igor Naverniouk, P. J. Opalinski, Kaustuv, Dan Zigmond
• Keywords: Ad Quality, Audience Retention, Data Mining, KDD 2009, Retention Score