Chapter 15. Optimizing Outcomes: Professional Perspectives on Data-driven Marketing Mastery
This technological phase completely discovers the vibrant domain name of data-driven advertising diving right into its meaning, significance, as well as present landscape with a certain concentrate on expert system (artificial intelligence (AI)), customization, plus consumer understandings. The opening up area highlights the critical function of information in advertising decision-making, sustained by study as well as a thorough evaluation of AI applications. Carrying on, the phase looks into the transformative capacity of generative AI in advertising giving understandings right into its advantages, effective projects, as well as useful applications in material production plus project optimization. Highlighting customization and also material production, it showcases the effect of dressmaker made methods on consumer interaction, offering approaches for the reliable use of client information. Consumer understandings together with analytics are checked, highlighting their duty in boosting project efficiency. Strategies for acquiring convenient understandings sustained by real-world study highlight the functional ramifications of data-driven decision-making. Ending with a succinct recap of vital takeaways, the phase highlights the vital nature of data-driven advertising. Future instructions highlight the proceeded combination of AI together with improvements in information personal privacy, concluding with an engaging phone call to activity advising companies to focus on data-driven methods as well as add to the continuous development of data-driven advertising and marketing proficiency.
| Year of publication: |
2025
|
|---|---|
| Authors: | Prasad, Aditya ; Rastogi, Tejasv ; Paul, Trisha ; Tyagi, Utkarsh ; Benedetto, Francesco |
| Published in: |
Data engineering for data-driven marketing. - Leeds : Emerald Publishing Limited, ISBN 978-1-83662-328-1. - 2025, p. 217-235
|
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