Social Media Listening and Sentiment Analysis
We built a comprehensive AI-powered social listening engine that aggregated, analyzed, and scored content across major platforms to provide real-time insights into consumer sentiment for an Indian FMCG conglomerate's flagship brand.
Indian FMCG Conglomerate
Fast-Moving Consumer Goods
Client Partner
A leading Indian FMCG conglomerate with multiple flagship brands across consumer product categories
The Challenge
Big brands naturally attract a high volume of attention on social media. However, much of this engagement—ranging from customer reviews and casual mentions to viral videos and memes—often goes unnoticed. The volume is simply too large for manual tracking, and most of it blends into background noise without clear context or actionability.
The client wanted to move past this blind spot and answer key questions
- What are consumers actually saying about the brand?
- Which campaigns are landing well—and which aren't?
- How is the brand being compared to competitors online?
- What content formats (posts, reels, memes, comments) are driving engagement?
The client needed more than data dumps—they needed smart, AI-summarized insights that highlighted what was being said, where, and with what tone.
Our Solution
Multi-Platform Data Aggregation
- Combined custom scraping workflows and official APIs to extract content related to the client's brand across Reddit, Instagram, TikTok, Facebook, YouTube, and Twitter.
- Set up triggers for relevant hashtags, keywords, and brand handles to capture trending and long-tail content.
AI-Powered Summarization & Sentiment Analysis
- Used advanced Natural Language Processing (NLP) models to summarize consumer conversations into key sentiment themes (e.g., pricing, quality, nostalgia, innovation).
- Assigned sentiment scores (1 to 5 scale) to brands, campaigns, and individual content.
- Detected emotional tone—humor, anger, delight, sarcasm—for more nuanced brand health tracking.
Competitor Benchmarking
- Analyzed social sentiment and share of voice for three key competitors.
- Delivered a side-by-side view of brand perception across platforms, regions, and audience types.
Dashboard & Alerting System
- Delivered an interactive dashboard with filters for platform, brand, sentiment level, campaign, and time frame.
- Enabled real-time alerts and weekly AI-generated summaries to surface key trends, shifts, and risks.
The Impact
| Key Metric | Approx. Improvement |
|---|---|
| Sentiment Intelligence | 10,000+ mentions analyzed |
| Brand Health | Real-time sentiment scores |
| Campaign Feedback | Refined messaging for 2 campaigns |
| Competitive Awareness | Benchmarked against 3 competitors |
| Crisis Detection | 3 potential PR risks identified early |
The solution provided comprehensive sentiment intelligence at scale with 10,000+ brand mentions analyzed and scored (~68% positive, ~22% neutral, ~10% negative). Weekly sentiment scores on a 1-5 scale for the brand and its campaigns were updated in real-time, helping refine messaging during two ongoing campaigns. The system benchmarked share of voice and sentiment against three competitors across six social platforms, identified three potential PR risks early via AI alerts, and informed monthly brand reviews, influencer strategy, and content calendar planning.
"The AI-powered sentiment analysis has transformed our social media strategy. We now have real-time visibility into what consumers are saying and feeling about our brand, allowing us to respond quickly and make data-driven marketing decisions."
Brand Marketing Team
Indian FMCG Conglomerate
In a nutshell
We built a system that listens to what people are saying about the client's brand—and its competitors—across platforms like Instagram, TikTok, Reddit, and Facebook. Then we used AI to summarize all this data: rating sentiment on a scale, identifying which campaigns are performing well or poorly, and pointing out why. The result? A real-time dashboard that gives brand teams instant clarity on what's happening and how to respond—without getting lost in the noise.
