Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143187
Title: Creative AI : a data-driven design approach for creative online ad optimisation using artificial intelligence and big data
Authors: Phay, Han
Keywords: Visual arts and music::Media
Issue Date: 2019
Publisher: Nanyang Technological University
Source: Phay, H. (2019). Creative AI : a data-driven design approach for creative online ad optimisation using artificial intelligence and big data. Master's thesis, Nanyang Technological University, Singapore.
Abstract: This thesis aims to identify how present day advertising agencies can compete in an increasingly disruptive technology-driven future. By investigating the early history of advertising and the subsequent modern evolution of advertising technology, it is determined that a new way of creative advertising should evolve with the times. Through the integration of Artificial Intelligence and Big Data with current industry processes, a new kind of advertising agency will emerge that is run like a tech company. Using Big Data to inform creative design and Artificial Intelligence to identify patterns, predictive analysis can be applied to creative online banner ads for the purpose of increasing user engagement through higher click-through rates. This new methodology of data-driven design increases productivity for ad agencies, whilst increasing returns-on-ad-spend for clients. To support the hypothesis of design driven by data, a controlled experiment is carried out with digitally generated online banner ads. A total of 8 generated digital online banner ads were put through a 7 weeks adversarial A/B test on the Google Display Network, with one winning ad determined at the end of the period based on click-through % scoring. Performance data for the ads are presented, as well as a discussion on the implications of the findings, specifically on the positive potentials of data-driven design and the importance of ad agencies becoming like tech companies. The research is structured in 7 chapters: (1) A Historical Perspective on Modern Advertising, looking at the way creative advertising agencies have evolved throughout the earlier years, (2) Present Day Advertising Technology, continuing the narrative post-internet through exploration of the advertising technology industry in present day, (3) Consumer Psychology, specifically on how creative design attributes in ads, such as visuals, text and sound, can subconsciously have an effect on humans and are important to the cause of advertising, (4) Data-driven design, a new way of looking at the digital online ad creation process, integrating big data and artificial intelligence to predict the optimal creative attributes in digital ads, (5) Multivariate Testing for Creative Optimisation, a controlled experiment to determine that generated ads do not underperform current human designed ads, (6) Translating Research into Product, where the ad agency as tech company model is brought forth through the form of a startup, and lastly (7) Future Opportunities, that identifies other areas of emerging tech and the implications on future research.
URI: https://hdl.handle.net/10356/143187
DOI: 10.32657/10356/143187
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ADM Theses

Files in This Item:
File Description SizeFormat 
Final Thesis_PhayHan_G1700170A.pdf23.29 MBAdobe PDFThumbnail
View/Open

Page view(s) 50

477
Updated on Jan 29, 2023

Download(s) 20

284
Updated on Jan 29, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.