The Adaptive Web: Industry-Specific Trends in Website Evolution and Digital Marketing
DOI:
https://doi.org/10.5281/zenodo.14568476Keywords:
Website, Future of website, Online marketing, MarketingAbstract
This paper presents a sector-specific analysis of website evolution, focusing on how technological advancements are shaping their roles in marketing across diverse industries. Examining websites from nine major sectors, including healthcare, finance, retail, and telecommunications, this study utilizes historical data from the Wayback Machine alongside the CW-Index framework to evaluate website competitiveness over nearly three decades. The analysis reveals how emerging technologies, such as artificial intelligence (AI), mobile optimization, and advanced SEO, are uniquely adopted and implemented according to each sector's goals and user demands. Key findings include a widespread increase in page size and load time, attributable to complex features such as high-resolution media and interactive tools. Despite this, improvements in mobile optimization and analytics integration are enabling websites to offer more personalized, data-driven experiences, which enhance customer engagement and loyalty. Notably, social media links and responsive design have become common, with sectors like healthcare and higher education showing high social media integration rates.This research contributes to digital marketing literature by highlighting how industry-specific strategies influence website design, functionality, and user interaction. By identifying these trends, the study underscores the strategic importance of websites as adaptable, user-centric marketing tools that align with sectoral innovation and consumer expectations. Insights from this study guide marketers and web developers in optimizing websites to meet evolving technological and competitive demands across sectors.Downloads
Published
2024-12-31
How to Cite
LOSONCZI, G. (2024). The Adaptive Web: Industry-Specific Trends in Website Evolution and Digital Marketing. International Journal of Digital Waste Engineering, 1(1), 1–9. https://doi.org/10.5281/zenodo.14568476
Issue
Section
Articles