Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate

Saseendran, Nisheel; Sneha, Chilla

doi:10.1007/978-3-030-81462-5_16

Communications in Computer and Information Science

2021

DOI: 10.1007/978-3-030-81462-5_16

|View full text |Cite

Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate

Nisheel Saseendran¹,

Chilla Sneha²

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Exploring the Impact of Combining Neuromarketing and AI Adoption on the Perceived Effectiveness of Social Media Advertising Campaigns

AlRoshoud,

Osman El-Gohary

2024

International Journal of Customer Relationship Marketing and Management

View full text Add to dashboard Cite

Literature shows that integrating advanced tech-oriented marketing skills and techniques (i.e., Neuromarketing and Artificial Intelligence concepts) and assessing that influence toward incentivizing SMEs owners to outsource their marketing activities are still omitted and need further clarifications. As a response, through a deep exploration of the literature and insights from the related Key Performance Indicators (KPIs), this research articulates a proposed research framework, upon the premise of extending Taylor and Todd's Decomposed Theory of Planned Behavior. This research seeks to contribute by presenting a framework that further allows M&A agencies to comprehend the underpinnings of integrating such a tech-oriented combination toward enhancing their performance while crafting advertising campaigns for SMEs. This is along with showing how such integration would improve the image of those M&A agencies showing their superb capabilities in crafting advertising campaigns. The authors believe the framework is expected to serve as a guideline for future researchers to incorporate their primary data towards framing their research.

show abstract

Exploring the Impact of Combining Neuromarketing and AI Adoption on the Perceived Effectiveness of Social Media Advertising Campaigns

AlRoshoud,

Osman El-Gohary

2024

International Journal of Customer Relationship Marketing and Management

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate

Cited by 1 publication

References 18 publications

Exploring the Impact of Combining Neuromarketing and AI Adoption on the Perceived Effectiveness of Social Media Advertising Campaigns

Exploring the Impact of Combining Neuromarketing and AI Adoption on the Perceived Effectiveness of Social Media Advertising Campaigns

Contact Info

Product

Resources

About