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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

The Future of Affiliate Marketing: Forecasts and Opportunities

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  • The Future of Affiliate Marketing: Forecasts and Opportunities

Kostiantyn Shurupov *

An expert in digital marketing and affiliate business development. United States of America.

Review Article

 

International Journal of Science and Research Archive, 2024, 12(02), 3128-3131.
Article DOI: 10.30574/ijsra.2024.12.2.1326
DOI url: https://doi.org/10.30574/ijsra.2024.12.2.1326

Received on 08 June 2024; revised on 20 July 2024; accepted on 28 July 2024

This article explores the key trends and prospects shaping the future of affiliate marketing in the coming years. Drawing on the practical experience of Kostiantyn Shurupov and international research data, it analyzes major growth directions: the integration of artificial intelligence, the increasing influence of bloggers and social media, the shift toward DTC (Direct-to-Consumer) models, personalization driven by Big Data, and the development of sustainable partnership ecosystems. The article also discusses challenges such as competition for high-quality traffic, regulatory issues, and changing user behavior.

Affiliate Marketing; Future Of Marketing; Digital Marketing; KPI; DTC; Personalization; Artificial Intelligence; Partnership Ecosystems

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-1326.pdf

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Kostiantyn Shurupov. The Future of Affiliate Marketing: Forecasts and Opportunities. International Journal of Science and Research Archive, 2024, 12(02), 3128-3131. Article DOI: https://doi.org/10.30574/ijsra.2024.12.2.1326

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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