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The Role of Artificial Intelligence ...

Wabnegger, Lukas,

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The Role of Artificial Intelligence in Revolutionizing Conversion Rate Optimization /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Role of Artificial Intelligence in Revolutionizing Conversion Rate Optimization // Lukas Wabnegger.
Author:	Wabnegger, Lukas,
Description:	1 electronic resource (95 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-12.
Contained By:	Masters Abstracts International86-12.
Subject:	Generational differences. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32016591
ISBN:	9798286414772

The Role of Artificial Intelligence in Revolutionizing Conversion Rate Optimization /
Wabnegger, Lukas,

The Role of Artificial Intelligence in Revolutionizing Conversion Rate Optimization /Lukas Wabnegger. - 1 electronic resource (95 pages)

Source: Masters Abstracts International, Volume: 86-12.

This thesis explores the role of artificial intelligence (AI) in revolutionizing conversion rate optimization (CRO) within digital marketing. Using a qualitative methodology combining a literature review and expert interviews, it identifies the benefits of AI-driven personalization and dynamic pricing while addressing challenges such as data privacy, algorithmic bias, and trust. The findings highlight the potential of AI to improve efficiency and customer engagement, particularly for small and medium enterprises (SMEs) that adopt scalable tools. The study also suggests extending the technology acceptance model (TAM) to include constructs of trust and perceived risk to better understand AI adoption in CROcontexts.

English

ISBN: 9798286414772Subjects--Topical Terms:

3762844
Generational differences.

The Role of Artificial Intelligence in Revolutionizing Conversion Rate Optimization /
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520 $a This thesis explores the role of artificial intelligence (AI) in revolutionizing conversion rate optimization (CRO) within digital marketing. Using a qualitative methodology combining a literature review and expert interviews, it identifies the benefits of AI-driven personalization and dynamic pricing while addressing challenges such as data privacy, algorithmic bias, and trust. The findings highlight the potential of AI to improve efficiency and customer engagement, particularly for small and medium enterprises (SMEs) that adopt scalable tools. The study also suggests extending the technology acceptance model (TAM) to include constructs of trust and perceived risk to better understand AI adoption in CROcontexts.
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