Seeing Is Doing: How Visual Hierarchy and CTA Design Lift Online Campaign Response
Abstract
This paper examines how design decisions related to graphic design affect the performance campaign. To do this, the authors run a controlled experiment that compares visually-optimised creatives with minimally designed creatives from Facebook, Instagram and email over four weeks. The researchers recruited a stratified sample of 200 participants evenly balanced by age, gender, and digital literacy and randomly assigned to experimental conditions. The key outcome measures were operationalised as follows. First, engagement like comments, shares and time-on-content were taken as a measurement. Second, brand recall was measured using post-exposure survey answers. Third, conversion behaviour was what we defined as a sign-up or purchase that was completed. The independent t-tests and ANOVA show significant improvements for optimised creatives engagement increased by 35%, click-through rates by 25% and conversion rates by 40% (p i $0.05)$ with moderate-to-large effect sizes. In order to ensure equivalence across creatives, all content, offers, targeting parameters, and the campaign's timing were held constant. Further, randomised ad delivery helped mitigate bias at the platform level. Despite consistent results across channels, caution is needed in interpretation due to the different patterns of interaction in social feeds, landing pages, and emails. Based on visual cognition and human-computer interaction principles, our findings position visual hierarchy and call-toaction prominence as experimentally supported drivers of attention and choice. The findings furnish action-oriented design specifications that have been tested empirically and not exploratory heuristics, enhancing the graphic design strategic role in performance-oriented digital marketing.
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Research works printed but not linked: 2
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Cited by
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- Authors
- Shinde, R.
- Affiliations
- OneUp Innovations, Inc.
- Corresponding author
- Shinde, Reshma
- Venue
- 2026 5th MEC International Conference on Advanced Data Analytics and Artificial Intelligence for Sustainable Smart Cities (ICADAAI)
- Publisher
- IEEE
- Published
- 2026-04
- Pages
- 1-4
- OpenAlex
- W7212842230
- Semantic Scholar
- a0aa0e2d01de452a6e23b1ac99809f48ff49ce20
- Cited by
- 0
- References
- 12
- FWCI
- 0.00
- Type
- conference paper
- Open access
- closed
- Licence
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- visual hierarchy, online advertising, user engagement, web design
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