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FinTech App Review and Feedback Analysis
Product Reviews & Feedback
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About
This data collection focuses on user reviews of GCash, a highly prominent mobile payments service in the Philippines. GCash is operated by G-Xchange, Inc., a wholly-owned subsidiary of Globe Fintech Innovations, Inc. This parent company, Mynt, is a joint venture that includes Ant Group (Alibaba/Alipay affiliate), Ayala Corporation, and the telco giant Globe Group. The data allows analysts to extract sentiments and identify public trends regarding the application, offering a picture of user experience and feedback since 2012.
Columns
The dataset includes eight columns of vital user feedback information:
- review_text: The actual written review content provided by the user.
- review_rating: The rating assigned by the user, ranging from 1 to 5 stars. The mean rating is approximately 3.56.
- author_id: A masked identifier for the reviewer, if available.
- author_name: The masked name of the reviewer.
- author_app_version: The specific version of the GCash application running when the review was submitted.
- review_datetime_utc: The precise timestamp in Coordinated Universal Time when the review was posted.
- review_likes: The count of 'likes' received by the specific review.
Distribution
The data is supplied in a CSV file format named
GCASH_REVIEWS.csv, with a file size of 82.79 MB. It contains 8 columns and consists of approximately 593,000 valid records. The dataset is currently not expected to receive future updates.Usage
This dataset is suitable for several advanced analytical applications:
- Sentiment Analysis: Extracting positive and negative sentiments and overall user moods towards the mobile application.
- Topic Modelling: Utilising machine learning techniques to identify and categorise recurring user complaints or issues, such as specific pain points within the application's functionality.
- Version Performance Tracking: Identifying which specific versions of the app received the most positive or the worst feedback over time.
- Market Research: Analysing evolving user demands and expectations in the mobile finance and payments sector.
Coverage
Geographically, the data focuses on reviews related to the GCash mobile payments service, which primarily operates within the Philippines. The temporal coverage spans over eleven years, beginning on 26 March 2012 and concluding on 13 November 2023. The reviews are sourced from the Google Play Store, representing feedback from Android users.
License
CC BY-NC-SA 4.0
Who Can Use It
- Data Scientists: For training natural language processing (NLP) models, performing sentiment analysis, and conducting predictive modelling on app success.
- Market Researchers: To gauge brand perception, measure customer loyalty, and perform competitive analysis within the FinTech space.
- Financial Analysts: To correlate user feedback with the business growth and operational stability of a major Philippine FinTech player.
- App Developers & Product Managers: To pinpoint specific usability issues, bugs, or feature requests mentioned in large volumes of user feedback.
Dataset Name Suggestions
- Philippine Mobile Payments App Review Data
- GCash User Sentiment History (2012–2023)
- FinTech App Review and Feedback Analysis
- Google Store GCash App Reviews
Attributes
Original Data Source: FinTech App Review and Feedback Analysis
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