Connect your feedback tables to Clootrack’s AI engine to auto-detect themes, sentiment shifts, and urgency signals. Pinpoint what’s driving churn, delight, or support load without writing a single query.
PostgreSQL is the backbone of many enterprise applications, storing everything from behavioral logs and purchase histories to support case metadata and customer interactions. But despite its robust querying power, it is not built to interpret customer experience at scale.
Clootrack layers unsupervised, agentic AI on top of your PostgreSQL instance to extract structured themes, detect sentiment shifts, and surface hidden experience drivers without building custom NLP models or manually tagging data.
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.
Uncover feature friction, prioritization cues, and drop-off patterns tied to real interactions, not just survey answers.
Layer structured product or support logs with customer sentiment for richer, contextual insights.
Detect early churn indicators within feedback and act before attrition impacts performance.