Unify structured customer data from MySQL with AI-powered insight detection and multi-level drill-down Voice of Customer (VoC) analytics. Move beyond stored records, surface customer insights, risks, and opportunities at scale.
MySQL powers the vast majority of enterprise backends, handling customer transactions, feedback logs, and product interaction data. But this structured data alone doesn’t surface why satisfaction drops, churn increases, or product-market fit shifts.
With Clootrack’s integration, you can enrich your MySQL data with behavioral intelligence, automatically detecting patterns, emerging issues, and emotion signals from other feedback channels. Eliminate manual tagging and gain real-time clarity on what drives your metrics.
Auto-identify friction points, urgency signals, and key themes from stored records.
Spot at-risk cohorts early using language patterns, intensity, and feedback frequency.
Track evolving sentiment trends in real time across regions and segments.
Analyze feedback instantly with Clootrack Genie, our multi-agent reasoning engine.
Converts qualitative inputs into measurable drivers with traceability.
Bring surveys, CRM notes, tickets, chats, and reviews into one semantic layer.
Enrich CSAT/NPS scores with context-rich feedback themes for faster actionability.
Give CX, product, and growth teams access to AI-clustered themes sourced from your own MySQL database.
Layer structured product or support logs with customer sentiment for richer, contextual insights.
Feed Clootrack findings into internal dashboards or ML models for better prioritization and prediction.