Customer Review Analysis with ChatGPT4o
When I worked in the automotive business, I analyzed customer reviews to highlight issues, which took time. Now, AI can help.
Customer reviews and comments are available in the public domain on sites like TrustPilot, YouTube, X, Reddit, Facebook, and Instagram. There is a wealth of information you should be tapping into. With a little bit of data engineering (or someone to copy and paste) to pull the data and the right prompts, you can get an up-to-date view of what your customers are saying about your business.
In the videos below, I demonstrate a simple analysis of TrustPilot comments for Guinneys, a homeware and clothing chain in Ireland.
TrustPilot Review Extractor Python: https://github.com/analyticswithadam/...
Prompt:
Role and Context: You are the marketing manager at Guineys, a home furnishing and clothing chain in Ireland. I am attaching the most recent reviews from Trustpilot.
Tasks and Format: Assess these comments for sentiment, noting the volume of positive, negative, and neutral comments. Please provide some example comments to back up your points in each section and provide a breakdown. From the analysis, suggest three things we should keep doing and three things we should avoid doing in the future.
#AI #DataEngineering #SentimentAnalysis #CustomerFeedback #TrustPilot #Marketing #BusinessInsights #Homeware #Clothing #Python #DataScience #CustomerExperience
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