Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{191885,
author = {Ashwini Sonawane and Dr. Syed Sumera Ali and A.G.Gaikwad and A.T. Jadhav and Dr. D.L. Bhuyar and Dr.G.B.Dongre},
title = {Deep Learning Assisted Website Traffic Mining for Intelligent Conversion Performance Analysis},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {8},
pages = {8211-8221},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=191885},
abstract = {Website traffic analysis reveals critical insights into sources such as organic search (45% volume), paid ads (30%), direct visits (15%), and referrals (10%), each exhibiting distinct behaviors influencing conversion funnels. Key metrics including bounce rates (42-60% across sources), session duration (2:45 for converters vs. 1:12 non-converters), and page speed (<3s threshold) directly impact progression through awareness, consideration, and action stages, with organic traffic yielding 3.8% rates versus 1.8% for referrals. Empirical data from Google Analytics across five e-commerce sites over six months highlights quality disparities, where high-intent organic sessions drive 60% revenue despite lower volume, while speed delays reduce rates by 7% per second. Usability factors like readability (Flesch scores >60) and personalization mediate consumer behavior, boosting completions by 15-28%. Optimization strategies segmentation, A/B testing CTAs, heatmaps, and data mining enable 20-30% lifts by prioritizing traffic quality over quantity, alongside real-time monitoring for SMEs. This study proposes integrated frameworks leveraging regression models to predict and enhance conversion rate optimization (CRO), traffic sources analysis, bounce rate mitigation, session metrics evaluation, funnel progression modelling, Google Analytics segmentation, usability heuristics application, and website performance tuning.},
keywords = {Conversion funnel, Google Analytics, traffic quality, usability optimization, website metrics.},
month = {January},
}
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