Customer Insights
Customer Insights
Analyzed thousands of cosmetic product reviews using NLP and Word2Vec to uncover themes, sentiment patterns, and word associations. Identified what customers loved, what frustrated them, and how those insights could guide seasonal marketing, product positioning, and brand strategy.
Analyzed thousands of cosmetic product reviews using NLP and Word2Vec to uncover themes, sentiment patterns, and word associations. Identified what customers loved, what frustrated them, and how those insights could guide seasonal marketing, product positioning, and brand strategy.
Objective
Extract actionable customer sentiment insights to drive targeted marketing and product improvements.
Objective
Extract actionable customer sentiment insights to drive targeted marketing and product improvements.
Objective
Extract actionable customer sentiment insights to drive targeted marketing and product improvements.
Approach
Python, NLP (Word2Vec), Sentiment Analysis, Clustering, t-SNE Visualization
Approach
Python, NLP (Word2Vec), Sentiment Analysis, Clustering, t-SNE Visualization
Approach
Python, NLP (Word2Vec), Sentiment Analysis, Clustering, t-SNE Visualization
Takeaways
Emphasize texture/usability, fix shade and longevity issues, tailor messaging to seasonal trends.
Takeaways
Emphasize texture/usability, fix shade and longevity issues, tailor messaging to seasonal trends.
Takeaways
Emphasize texture/usability, fix shade and longevity issues, tailor messaging to seasonal trends.
Application
Persona-based messaging, product positioning, and targeted campaign strategies.
Application
Persona-based messaging, product positioning, and targeted campaign strategies.
Application
Persona-based messaging, product positioning, and targeted campaign strategies.
Example Appication
