Abstract
Over the past two decades, digital marketing has disrupted the advertising industry, seeing increasing growth in spending each year, and it is forecast to overtake spending on traditional advertising. With the advent of the Internet of Things (IoT), the potential benefits of incorporating fine-grained contextual data is being explored. However, with existing metrics for digital marketing being focused on web based interactions, it is unclear how they can be adapted to interactions in the physical environment. The paper defines new metrics for capturing customer interactions in a physical environment and explores how they relate to eventual purchase decisions. This paper shows how such metrics can be measured for indoor retail environments, through detection of shopping intent. Finally, usage of the proposed metrics are demonstrated using a real world example.
| Original language | British English |
|---|---|
| Title of host publication | 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728163031 |
| DOIs | |
| State | Published - Dec 2019 |
| Event | 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2019 - Melbourne, Australia Duration: 9 Dec 2019 → 11 Dec 2019 |
Publication series
| Name | 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2019 |
|---|
Conference
| Conference | 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2019 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne |
| Period | 9/12/19 → 11/12/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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