Resources by Tijmen

AI and conventional marketing images + Human ratings for AIDA, brand dimensions, and other metrics

AI and conventional marketing images + Human ratings for AIDA, brand dimensions, and other metrics

Tijmen
Open Dataset
Creators: Mark Heitmann, Tijmen P. J. Jansen, Martin Reisenbichler, and David A. Schweidel
Publication Date: 19.11.2025
Creators: Mark Heitmann, Tijmen P. J. Jansen, Martin Reisenbichler, and David A. Schweidel

This dataset includes participant-level ratings, or conventional and AI-generated marketing images gathered in the research paper “Picture Perfect: Engaging Customers with Visual Generative AI (https://doi.org/10.1177/00222429251356993). It encompasses 39,040 rows with ratings on variables such as AIDA, brand dimensions Rugged and Luxury, aesthetic scores measured by the LAION Aesthetic Predictor, fluency, utilitarian and hedonic perception, and perceived humor. Additionally, all images are numbered by a unique identifier and, if available, a link to the image as well as brand and product information.

Click-through rate (CTR) dataset on conventional and AI-generated ads including demographical information

Click-through rate (CTR) dataset on conventional and AI-generated ads including demographical information

Tijmen
Open Dataset
Creators: Mark Heitmann, Tijmen P. J. Jansen, Martin Reisenbichler, and David A. Schweidel
Publication Date: 19.11.2025
Creators: Mark Heitmann, Tijmen P. J. Jansen, Martin Reisenbichler, and David A. Schweidel

This dataset encompasses click-through rate (CTR) information on 5 conventional and 5 AI-generated car advertisements, including impressions, results (clicks), euros spent, cost per click (CPC), and CTR for several demographical groups (gender and age groups).

Click-through-rate (CTR) data of conventional and AI-generated advertisements

Click-through-rate (CTR) data of conventional and AI-generated advertisements

Tijmen
Open Dataset
Creators: Mark Heitmann, Tijmen P. J. Jansen, Martin Reisenbichler, and David A. Schweidel
Publication Date: 19.11.2025
Creators: Mark Heitmann, Tijmen P. J. Jansen, Martin Reisenbichler, and David A. Schweidel

This dataset encompases 20 rows of 10 conventional (actual_polestar) and 10 AI-generated ads geared towards luxury (gen_luxury), including impressions, clicks, and click-through rate (CTR).

Consumer Responses to Radio Advertisements: Perceptual Sound Features and Attitudinal Outcomes

Consumer Responses to Radio Advertisements: Perceptual Sound Features and Attitudinal Outcomes

Tijmen
Open Dataset
Creators: Tijmen P. J. Jansen and Maximilian Witte
Publication Date: 19.11.2025
Creators: Tijmen P. J. Jansen and Maximilian Witte

This dataset contains perceptual, acoustic, and evaluative measures for a series of radio advertisements. Each ad was produced using different voice profiles, allowing analysis of how sound characteristics influence advertising effectiveness. The dataset includes subjective evaluations of the ad (liking, appealingness, purchase intent) alongside objective audio measurements such as loudness, brightness, pitch, vocal tract length, and harmonics-to-noise ratio. The dataset is suitable for research on auditory advertising effects, persuasion, sound engineering, and voice-based marketing.

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