marketing-social-pulse

What problem does it solve?

Analyze and interpret how an entity is perceived on social channels by measuring mindshare, sentiment, and related metrics over a defined window, with built-in anomaly detection and narrative storytelling to explain changes.

Core Features & Use Cases

• Resolve Entity: normalize identity, build exclusion filters, and define the analysis window against a trailing-12-month context.
• Data Gathering & Analysis: fetch mindshare, sentiment, mentions, and engagement metrics (where available) for the requested window and the trailing 12 months, limited to Twitter for mentions.
• Anomaly Narration: automatically detect anomalies, surface top tweets and contributor accounts, and generate a four-section report (Summary and Conclusions, Key Observations, Key Insights, Suggested Actions).
• Output & Narratives: render a four-section report with optional canonical narratives surfaced via kaito_narratives.

Quick Start

Provide a four-section social-pulse report for a chosen entity over the requested window.