Steven Bellman, Jamie Murphy, Shruthi Vale Arismendez and Duane Varan
This paper aims to test TV sponsorship bumper effects, for the same brand, on 30-s TV spot advertising.
Abstract
Purpose
This paper aims to test TV sponsorship bumper effects, for the same brand, on 30-s TV spot advertising.
Design/methodology/approach
An experimental study tests sponsorship bumpers and 30-s TV spot ads for eight brands, four familiar and four unfamiliar, using realistic stimuli and a sample representative of the US population.
Findings
Sponsorship boosts ad effectiveness and is measured by ad awareness and ad liking. Both effects were stronger for unfamiliar brands.
Research limitations/implications
The results show that combining sponsorship with spot advertising has an additive effect. The study design did not allow tests for potential synergy (multiplicative) effects.
Practical implications
Advertisers can use the results to evaluate investing in sponsorship and advertising packages, which can help unfamiliar brands achieve familiar brand awareness.
Originality/value
To the authors’ knowledge, this is the first study to compare the effectiveness of sponsorship-boosted ads with sponsorship bumpers alone and with TV spot ads.
Details
Keywords
Brooke Wooley, Steven Bellman, Nicole Hartnett, Amy Rask and Duane Varan
Dynamic advertising, including television and online video ads, demands new theory and tools developed to understand attention to moving stimuli. The purpose of this study is to…
Abstract
Purpose
Dynamic advertising, including television and online video ads, demands new theory and tools developed to understand attention to moving stimuli. The purpose of this study is to empirically test the predictions of a new dynamic attention theory, Dynamic Human-Centred Communication Systems Theory, versus the predictions of salience theory.
Design/methodology/approach
An eye-tracking study used a sample of consumers to measure visual attention to potential areas of interest (AOIs) in a random selection of unfamiliar video ads. An eye-tracking software feature called intelligent bounding boxes (IBBs) was used to track attention to moving AOIs. AOIs were coded for the presence of static salience variables (size, brightness, colour and clutter) and dynamic attention theory dimensions (imminence, motivational relevance, task relevance and stability).
Findings
Static salience variables contributed 90% of explained variance in fixation and 57% in fixation duration. However, the data further supported the three-way interaction uniquely predicted by dynamic attention theory: between imminence (central vs peripheral), relevance (motivational or task relevant vs not) and stability (fleeting vs stable). The findings of this study indicate that viewers treat dynamic stimuli like real life, paying less attention to central, relevant and stable AOIs, which are available across time and space in the environment and so do not need to be memorised.
Research limitations/implications
Despite the limitations of small samples of consumers and video ads, the results of this study demonstrate the potential of two relatively recent innovations, which have received limited emphasis in the marketing literature: dynamic attention theory and IBBs.
Practical implications
This study documents what does and does not attract attention to video advertising. What gets attention according to salience theory (e.g. central location) may not always get attention in dynamic advertising because of the effects of relevance and stability. To better understand how to execute video advertising to direct and retain attention to important AOIs, advertisers and advertising researchers are encouraged to use IBBs.
Originality/value
This study makes two original contributions: to marketing theory, by showing how dynamic attention theory can predict attention to video advertising better than salience theory, and to marketing research, showing the utility of tracking visual attention to moving objects in video advertising with IBBs, which appear underutilised in advertising research.