Our Impact


TV Advertising: Best Measures of Attention To Creative Tactics

Best Measures of Attention To Creative Tactics in TV Advertising

MediaScience is the leading provider of lab-based audience research, incorporating a range of neuro-measures including biometrics, facial expression analysis, eye tracking, EEG, and more. With state-of-the-art labs in New York, Chicago, and Austin, MediaScience is discovering actionable insights in advertising, technology, media, and consumer trends.

Dr. Duane Varan, the global authority of neuromarketing research, founded Audience Labs (formerly the Interactive Television Research Institute) during his tenure at Murdoch University in Perth, Australia, in 2001. In 2005, he launched the Beyond : 30 Project, a consortium exploring the changing media and advertising landscape, and in 2008, he was approached by Disney Media Networks to set up a dedicated custom research lab on a broader scale – and so MediaScience was born. Though he officially left Murdoch in 2015, he continues to maintain some research links with the University of South Australia and has been widely recognised for his innovative contributions to teaching and the neuromarketing industry as evidenced by a long list of awards and over 90 published academic papers in his field.

Below is an abstract from one of his papers about the Best Measures of Attention To Creative Tactics in TV Advertising from the Journal of Advertising Research .

Best Measures of Attention To Creative Tactics in TV Advertising

Attracting attention is a common goal for advertisers, but there is limited knowledge about how best to measure attention. Measuring attention to advertising is a complex task because there are different types of attention, tapped by different measures, that likely are more or less sensitive to varied attention-getting creative devices. This study examines how scalable biometric measures—eye tracking, skin conductance, and heart rate—respond to 10 creative devices executed across more than 100 television advertisements with known in-market sales-effectiveness results. The study documents the relationship of different attention measures with level of attention and type of creative device.

Steven Bellman, Magda Nenycz-Thiel, Rachel Kennedy, Nicole Hartnett, Duane Varan DOI: 10.2501/JAR-2019-002 Published 1 September 2019

Click here to request the full text