Kane Koh

Dr. Kane Koh

Lecturer

Details

Open to

  • Industry Projects
  • Masters Research or PhD student supervision
  • Collaborative projects
  • Join a web conference as a panellist or speaker
  • Media enquiries

About

Dr. Kane Koh is an award-winning digital marketing academic who specializes in marketing science methods, applying marketing analytics, machine learning, and econometric modeling to both structured data (e.g., spreadsheets) and unstructured data (e.g., video, audio, text). His research spans pet adoption, content monetization, social live streaming services, and customer experiences. In addition to the multiple awards below, he has secured over $27,000 in competitive grant funding, most notably from the Marketing Science Institute.

 

Email him if you are interested in:

  1. Industry & Research Collaborations: Includes data-driven digital marketing strategies and ventures with real, practical and/or social impact
    • Current lead researcher for a project aimed at saving pets with PetRescue, Australia's largest online pet adoption platform.
  2. PhD Supervision: When crafting your request, state:
    • How you meet the eligilbity criteria on the PhD information page 
    • Details of proposed research projects you want to study 
    • What value you want him to provide you as a supervisor 
    • Special note: Do not use AI to write a superficial supervision request to him. He will know. 
  3. Media Enquiries. Recent features:

 

Awards

  1. Winner for Overall Best Paper for the Australian and New Zealand Marketing Academy (ANZMAC) Conference (2025, December 3) 
  2. Runner-up for the CoBLwealth Games 2025, with team “Marginal Gains” (2025, November 27) 
  3. Winner for Best Paper in Track “Advertising and Marketing Communications” for the Australian and New Zealand Marketing Academy (ANZMAC) Conference (2025, November) 
  4. Winner for the ADVC's LT&Q EdTech Encouragement Award at RMIT University (2025, September)
  5. Runner-up for the AMS Review/Sheth Foundation - Doctoral Competition for Conceptual Articles (DoCCA) (2025, March)
  6. Winner for the Honorable Mention at the Doctoral Colloquium for the Australian and New Zealand Marketing Academy (ANZMAC) Conference (2024, December)
  7. Winner for the Doctoral Best Paper Award 2024 [Best Journal Article under Review] at the University of Melbourne (2024, November)
  8. Finalist for the Society for Marketing Advances (SMA) 2024 Dissertation Competition (2024, November)
  9. Highly recommended runner-up for Australian Consortium for Social and Political Research Incorporated (ACSPRI) Fellowship (2023, December)
  10. Winner for the 1st annual Doctoral Program Poster Sessions at the Faculty of Business and Economics, University of Melbourne (2023, November)
  11. Finalist for the 3-Minute-Thesis Competition (3MT) at the University of Melbourne (2023, September)
  12. Winner for the Relationship Marketing Special Interest Group (RMSIG) Doctoral Student Award for notable research in the area of Relationship Marketing (2023, August)
  13. Winner for the AMS Review/Sheth Foundation - Doctoral Competition for Conceptual Articles (DoCCA) (2023, May)

Research fields

  • 3506 Marketing
  • 350604 Marketing communications
  • 350605 Marketing management (incl. strategy and customer relations)
  • 350609 Not-for-profit marketing
  • 350611 Service marketing
  • 350612 Social marketing
  • 350607 Marketing technology

UN sustainable development goals

  • 15 Life on Land

Academic positions

  • Lecturer
  • RMIT University
  • Marketing
  • Melbourne, Australia
  • 17 Feb 2025 – Present
  • Associate Lecturer
  • University of Melbourne
  • Marketing
  • Melbourne, Australia
  • 1 Jul 2023 – 16 Feb 2025

Teaching interests

Current course coordiantor and desginer for for MKTG1415 Digital Marketing at RMIT University, Melbourne, Australia and Singapore Institute of Management (SIM) Singapore.

Has over three years of teaching experience focused on Digital Marketing and Value Creation.

 

Research interests

Substantive: Digital Marketing, Marketing Technology, Customer Experience, Creator Economies, Content Monetization, Online toxicity, Live streaming, Charities, Crowdfunding, Sensory Experiences
Methodological (structured data): Quantitative marketing, Time series modelling (panel vector autoregression models)
Methodological (unstructured data): Machine learning (video, audio, text), Text analyses 

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

More information