SoiQet provides a cloud‑based social listening platform that continuously ingests posts from major networks and uses machine‑learning to deliver real‑time dashboards of trends, sentiment, and engagement metrics. Marketers and product teams can set keyword alerts, export data via API, and integrate insights into existing analytics workflows to make data‑driven decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses often struggle to monitor and interpret the vast amount of content generated on social media, making it difficult to identify emerging trends, gauge public sentiment, and assess audience engagement in a timely manner.
Solution
SoiQet offers a cloud‑based platform that continuously collects data from major social networks and applies machine‑learning algorithms to transform raw posts into structured intelligence. The service provides real‑time dashboards that highlight trending topics, sentiment shifts, and key engagement metrics, enabling marketers and product teams to react quickly to audience feedback. Users can set custom alerts for specific keywords or sentiment thresholds, and export insights via APIs for integration with existing analytics workflows. By centralizing social listening and analysis, SoiQet helps organizations make data‑driven decisions without the need for in‑house data engineering or manual monitoring.
Target Audience
Primary users are marketing managers, brand strategists, and product teams who need continuous social listening and actionable insights to guide campaigns and product decisions.
Features
- Automated ingestion of posts, comments, and reactions from multiple social platforms
- Machine‑learning models for sentiment classification, topic clustering, and trend detection
- Real‑time interactive dashboards with customizable visualizations of engagement metrics
- Keyword‑based alert system that notifies users of significant sentiment changes or volume spikes
- RESTful API for programmatic access to raw and processed social data
- Export options for reports in CSV, PDF, and integration with BI tools