Insights Mining
Turn unstructured data, social signals, and review streams into actionable insight.
Most categories are drowning in passive data — reviews, social, support tickets, search queries — and no one is mining it systematically. Our insights mining practice combines NLP, topic modelling, and human curation to turn that noise into a clean signal.
Capabilities
Social Listening Programs
Always-on listening across X, Reddit, YouTube, and emerging platforms — tuned to your category vocabulary.
Review & Ratings Mining
Aspect-level sentiment from Amazon, Flipkart, Zomato, app stores, and review aggregators.
Search Intent Analysis
Demand signals from Google trends, AdWords, and category search behaviour.
Voice of Customer (VoC)
Synthesis of support tickets, NPS verbatims, and CSAT comments at scale.
Competitive Intelligence
Continuous monitoring of competitor messaging, claims, and positioning shifts.
Trend & Foresight
Weak signal scanning for category disruption — what's emerging before it's obvious.
Our approach
Source mapping
Identify where your customers actually talk — public, semi-public, and owned.
Taxonomy design
Build a category-specific topic and entity taxonomy for clean classification.
ML + human-in-the-loop
Models do the volume; analysts catch the nuance.
Continuous delivery
Weekly briefs, monthly themes, quarterly deep dives.
Deliverables
Engagements wrap with artifacts your team can use the next day — not just slideware.
- Custom taxonomy + classification model
- Always-on dashboard with drill-down
- Weekly insight briefs
- Quarterly thematic deep-dives
- Alerting on anomalies and emerging issues
Explore other solutions
Ready to put Insights Mining to work?
Tell us your category, your decision, and your timeline. We'll show you what's possible.