Social Media: Separating Customer Sentiment From the Noise
Case Study Summary: Social Media Intelligence for a Major Car Manufacturer
Client:
A major automotive manufacturer operating in the Indian market.
Objective:
To track and analyze social media sentiment about a new car model.
The goal was to gain actionable insights that could improve the effectiveness of marketing strategies.
Background:
Social media significantly influences car purchase decisions among India’s 120 million+ internet users.
The client wanted to distinguish meaningful customer feedback from general online chatter.
Approach:
5-month-long monitoring of social media conversations.
Used a hybrid approach combining:
Automated sentiment analysis tools
Human coding – skilled analysts categorized and interpreted social data to ensure accuracy.
Outcome:
Successfully filtered out noise to identify real customer sentiment.
Delivered clear insights into how the new car model was perceived online.
Provided recommendations on:
Tailoring communication for different target audiences (e.g., users vs. influencers).
Choosing the right social media channels and messaging strategies.
Result:
The insights empowered the car manufacturer to refine its marketing approach and better engage potential buyers.
Contact:
Shikha Dalmia | info@rekhaprocitylabs.com
