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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM32945
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the rapidly evolving landscape of digital marketing, data-driven insights are crucial for optimizing social media strategies. This paper presents “Social Media Analytics,” a comprehensive platform designed to provide in-depth analytics for Instagram profiles and YouTube channels by leveraging the YouTube Data API and Instaloader library. The system integrates key performance metrics—including views, subscribers, likes, comments, and hashtag usage—offering content creators and marketers a unified view of audience engagement and behavioral trends across both platforms. The modular architecture comprises separate admin and user modules, facilitating efficient management of user roles, access privileges, and support through an integrated FAQ system. By enabling users to refine content strategies, monitor marketing effectiveness, and gain actionable insights, the proposed solution empowers stakeholders to enhance their online presence and maximize impact in the competitive realm of social media.
KEYWORDS
Publication Date
12/31/45891
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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