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Status : Active
Field of Research : Marketing
Research Topic : quantitative methodology
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP230101490

    Funder
    Australian Research Council
    Funding Amount
    $309,220.00
    Summary
    Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to .... Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to develop a novel machine learning approach to quantify the business-relevant information contained in textual information shared by customers online. This alternative approach will provide significant cost-saving benefits for a range of Australian companies, such as retailers, hotels, airlines and restaurants.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102151

    Funder
    Australian Research Council
    Funding Amount
    $260,128.00
    Summary
    Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents ex .... Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents extreme challenges due to the size and complexity of customer databases. The expected outcomes will enable Australian companies to attract and retain more customers, and make more efficient use of their marketing budget. Benefits include equipping companies to better compete domestically and globally.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210100137

    Funder
    Australian Research Council
    Funding Amount
    $161,000.00
    Summary
    Optimal Fundraising Design in a Competitive Market: A Unifying Framework. Increased competition from over 57,000 registered charities and a recent 6% decrease in individual donations, have increased the need for charities to improve their fundraising strategies. This project aims to develop a comprehensive framework – based on theories from marketing, psychology, economics, sociology, and philanthropy— and develop novel methodologies to determine effective charitable fundraising strategies in .... Optimal Fundraising Design in a Competitive Market: A Unifying Framework. Increased competition from over 57,000 registered charities and a recent 6% decrease in individual donations, have increased the need for charities to improve their fundraising strategies. This project aims to develop a comprehensive framework – based on theories from marketing, psychology, economics, sociology, and philanthropy— and develop novel methodologies to determine effective charitable fundraising strategies in a competitive marketplace. Key outcomes will include the theoretical model, and tests using conjoint choice-experiments, controlled field experiments and 10 years of giving data from 4 million Australian donors. These outcomes will enhance fundraising practice, ensuring charities can better serve the Australian public.
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