From Offline to Online: Utilizing Sentiment and Web Analytics to Navigate Retail Transformation

Authors

  • Bayani Krisanto Agustin University of the Philippines Diliman
  • Alon Dakila Ting
  • Althea Keenan Dolores

DOI:

https://doi.org/10.58776/ijitcsa.v3i2.203

Keywords:

Text Analytics, Social Media Analytics, Web Analytics, Sentiment Analysis

Abstract

The covid-19 pandemic has forced the way businesses run, including the offline apparel store that needs to shift their business to an online shopping platform. This also means that the volume of unstructured data that needs to be analyzed has increased significantly. This unstructured data should be analyzed accurately to help businesses in decision-making and solve their problems such as understanding customer satisfaction levels and evaluating marketing approaches. One way to utilize unstructured data is by using text analytics, the data like customer reviews from the online shopping platform and social media can be integrated and analyzed using a sentiment analysis approach in order to gain a better understanding of customer satisfaction levels. Furthermore, web analytics can also be utilized to evaluate the current marketing approach and how to maximize the marketing strategy for the business.

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Published

13-08-2025

How to Cite

Agustin, B. K., Ting, A. D., & Dolores, A. K. (2025). From Offline to Online: Utilizing Sentiment and Web Analytics to Navigate Retail Transformation. International Journal of Information Technology and Computer Science Applications, 3(2), 71–77. https://doi.org/10.58776/ijitcsa.v3i2.203

Issue

Vol. 3 No. 2 (2025): May - August 2025

Section

New Submission

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Copyright (c) 2025 Bayani Krisanto Agustin, Alon Dakila Ting, Althea Keenan Dolores

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