Turn support tickets into churn prevention.
Finsi connects your support platform to your customer data, revealing which support issues drive churn, prioritizing tickets by customer revenue impact, and surfacing emerging problems before they escalate.
Multi-Platform Integration
Connect Gorgias, Zendesk, Freshdesk, or Intercom in minutes. Finsi ingests ticket data, conversation histories, resolution times, and satisfaction scores to build a complete support intelligence layer.
Support-to-Churn Correlation
Finsi maps support interactions to customer lifecycle outcomes. See exactly which ticket types, resolution times, and agent responses correlate with cancellations, reduced order frequency, or subscription downgrades.
AI Topic Clustering
Automatically group thousands of support tickets into meaningful topic clusters using AI. No manual tagging required—Finsi identifies themes like shipping delays, product quality issues, billing confusion, and subscription management problems.
Sentiment Analysis
AI analyzes customer sentiment across every support conversation, tracking frustration levels, escalation patterns, and emotional tone. Identify which interactions leave customers at the highest risk of churning.
Revenue-Aware Prioritization
Not all tickets are equal. Finsi overlays customer LTV, subscription value, and purchase history onto your ticket queue so agents can prioritize high-value customers and tailor their response accordingly.
Trend Analysis
Track which support issues are emerging, stable, or improving over time. Finsi detects spikes in specific ticket topics and alerts your team to new problems—often before they show up in traditional metrics.
See the revenue impact of every support issue.
Finsi's Support Insights dashboard correlates support ticket topics with downstream revenue outcomes. See which issues drive the most churn, which product categories generate the most complaints, and where improving support resolution could directly save revenue.
Catch emerging issues before they escalate.
Finsi's trend analysis continuously monitors ticket volume by topic, flagging emerging issues with upward trajectories and celebrating improvements where resolution rates are climbing. The timeline view shows exactly when problems started and how they correlate with product changes, promotions, or seasonal patterns.
Frequently Asked Questions
1. Which support platforms does Finsi integrate with?
Finsi integrates with Gorgias, Zendesk, Freshdesk, and Intercom. The integration pulls in ticket data, conversation histories, tags, resolution times, and customer satisfaction scores. Setup typically takes under 10 minutes with OAuth-based authentication.
2. How does support-to-churn correlation work?
Finsi tracks every customer's support interactions and maps them against downstream behaviors—purchase frequency changes, subscription cancellations, reduced order values, and complete churn. Using statistical analysis, it identifies which ticket types, resolution times, and sentiment patterns have the strongest correlation with negative customer outcomes.
3. What does AI topic clustering detect that manual tagging misses?
Manual tagging relies on agents categorizing tickets in real time, which leads to inconsistencies and missed themes. Finsi's AI reads the full conversation content and groups tickets by actual topic similarity, uncovering patterns like "customers confused by new packaging" or "subscription portal login issues" that might be tagged differently by different agents.
4. How does revenue-aware ticket prioritization work in practice?
Finsi enriches every incoming support ticket with the customer's LTV, subscription status, recent purchase history, and churn risk score. This data is surfaced directly in your support platform so agents can see at a glance whether they're helping a first-time buyer or a high-LTV subscriber at risk of churning—and adjust their response urgency and tone accordingly.
5. How quickly does Finsi detect emerging support trends?
Finsi continuously analyzes incoming tickets in near real-time. When a new topic cluster begins growing or an existing topic sees a statistically significant spike compared to its baseline, Finsi generates an alert within hours. This early warning system helps teams address product issues, shipping problems, or policy confusion before they affect a large portion of the customer base.
Stop Losing Revenue to Preventable Support Issues
Finsi connects your support data to customer outcomes, showing exactly which issues drive churn and which customers need priority attention. Start your free pilot today.