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Sentiment Analysis for Brand Perception Assessment

To conduct a sentiment analysis of social media conversations, online reviews, and customer feedback to assess brand perception, identify strengths and weaknesses, and guide marketing strategies.

Customer Decision Journey

Client Segment:
A prominent consumer goods company aiming to understand public sentiment regarding its brand and products.

Method:
A mixed-methods approach was employed, combining text mining techniques with qualitative analysis to extract insights from various data sources.

Data Sources:
Social Media Platforms: Collected posts, comments, and mentions from platforms like Twitter, Facebook, and Instagram.
Online Reviews: Scraped product reviews from e-commerce websites and review platforms to gather customer feedback.
Surveys: Conducted online surveys to capture customer sentiments directly, asking about brand experiences and preferences.

Data Preparation: Cleaned and pre-processed the collected text data to remove noise and irrelevant information (e.g., stop words, special characters).

Sentiment Analysis Techniques: Utilized natural language processing (NLP) algorithms to analyze the sentiment of the text data, categorizing sentiments into positive, negative, and neutral.
Implemented machine learning models, such as logistic regression and support vector machines, to improve sentiment classification accuracy.

Data Visualization: Created visual representations of sentiment distribution across different platforms and product categories, allowing for easier interpretation of results.

Comparative Analysis: Compared sentiment scores over time to track changes in brand perception, identifying spikes or declines associated with specific marketing campaigns or product launches.

Findings:
The sentiment analysis provided the client with valuable insights into brand perception. Key takeaways included: Identification of key positive themes, such as product quality and customer service, which contributed to favorable sentiment.
Recognition of negative sentiment drivers, such as pricing concerns and product availability issues, enabling the company to address specific areas for improvement.
Overall sentiment trends indicated a gradual improvement in brand perception following targeted marketing efforts.

Solution
Based on the findings, the company was able to: Refine its marketing strategies to emphasize positive aspects of the brand in communications and advertising.
Develop action plans to address negative feedback, improving customer experiences and satisfaction.

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