Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching

Television advertising-avoidance research delivers a broad range of estimates for the extent of channel switching during advertising breaks (i.e., commercial zapping). The diverse methods likely contribute to the disparity in commercial-zapping estimates. This study implements a combined hidden-obse...

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Main Authors: Dix, Steve, Phau, Ian
Format: Journal Article
Published: World Advertising Research Center 2017
Online Access:http://hdl.handle.net/20.500.11937/36036
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author Dix, Steve
Phau, Ian
author_facet Dix, Steve
Phau, Ian
author_sort Dix, Steve
building Curtin Institutional Repository
collection Online Access
description Television advertising-avoidance research delivers a broad range of estimates for the extent of channel switching during advertising breaks (i.e., commercial zapping). The diverse methods likely contribute to the disparity in commercial-zapping estimates. This study implements a combined hidden-observation/survey approach and tests potential predictors of commercial zapping. The use of remote controls emerged as a significant driver of observed commercial zapping. Perceived clutter and advertising triggers emerged as significant predictors of reported commercial zapping. This study empowers media planners to determine prime-time advertising-audience erosion more accurately. Additionally, with a greater degree of confidence, advertisers can address factors that drive channel-switching behavior and dismiss factors that do not.
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publishDate 2017
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spelling curtin-20.500.11937-360362020-07-24T06:51:58Z Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching Dix, Steve Phau, Ian Television advertising-avoidance research delivers a broad range of estimates for the extent of channel switching during advertising breaks (i.e., commercial zapping). The diverse methods likely contribute to the disparity in commercial-zapping estimates. This study implements a combined hidden-observation/survey approach and tests potential predictors of commercial zapping. The use of remote controls emerged as a significant driver of observed commercial zapping. Perceived clutter and advertising triggers emerged as significant predictors of reported commercial zapping. This study empowers media planners to determine prime-time advertising-audience erosion more accurately. Additionally, with a greater degree of confidence, advertisers can address factors that drive channel-switching behavior and dismiss factors that do not. 2017 Journal Article http://hdl.handle.net/20.500.11937/36036 10.2501/JAR-2017-010 World Advertising Research Center restricted
spellingShingle Dix, Steve
Phau, Ian
Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching
title Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching
title_full Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching
title_fullStr Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching
title_full_unstemmed Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching
title_short Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching
title_sort predictors of commercial zapping during live prime-time television: an observation-based study identifies factors that drive tv channel switching
url http://hdl.handle.net/20.500.11937/36036