Find the support issues that cost you customers.
Support tickets sit in one tool and customer value in another, so nobody sees which issues drive churn until it shows up in revenue. Finsi connects your support platform to your customer data, and the SAGE agent groups tickets into themes, ties them to churn, and flags emerging problems for your team.
Support platform integration
Connect Gorgias, Zendesk, Freshdesk or Intercom. Finsi brings in ticket data, conversation histories, resolution times and satisfaction scores next to your customer and order data.
Support-to-churn correlation
Support interactions mapped to customer outcomes: which ticket types, resolution times and responses go with cancellations, fewer orders or subscription downgrades.
Topic clustering
Tickets grouped into topics such as shipping delays, product quality, billing confusion and subscription management, without manual tagging.
Sentiment analysis
Frustration levels, escalation patterns and tone across support conversations, to show which interactions leave customers most at risk.
Revenue-aware prioritization
Customer LTV, subscription value and purchase history next to each ticket, so your team can prioritize high-value customers.
Trend analysis
Which support issues are emerging, stable or improving. Finsi flags spikes in specific topics so your team hears about new problems early.
See the revenue impact of support issues.
Support ticket topics tied to revenue outcomes: which issues drive the most churn, which product categories generate the most complaints, and where better resolution could save revenue.
Catch emerging issues before they spread.
Ticket volume by topic is monitored continuously. Emerging issues are flagged, improvements are visible, and the timeline shows when problems started and how they line up with product changes, promotions or seasonality.
Explore the Platform
More work agents can take off your team
Frequently Asked Questions
1. Which support platforms does Finsi integrate with?
Gorgias, Zendesk, Freshdesk and Intercom, connected with OAuth. Finsi brings in ticket data, conversation histories, tags, resolution times and customer satisfaction scores.
2. How does support-to-churn correlation work?
Finsi maps each customer's support interactions against what they did next: changes in purchase frequency, subscription cancellations, smaller orders and full churn. Statistical analysis then shows which ticket types, resolution times and sentiment patterns are most strongly linked to bad outcomes.
3. What does topic clustering catch that manual tagging misses?
Manual tagging depends on each agent categorizing tickets consistently, which rarely happens. Finsi reads the full conversation and groups tickets by actual topic, uncovering patterns such as "confused by new packaging" or "subscription portal login issues" that different agents tag differently.
4. How does revenue-aware prioritization work in practice?
Each ticket is enriched with the customer's LTV, subscription status, recent purchases and churn risk, so your support team can see whether they are helping a first-time buyer or a high-LTV subscriber at risk, and respond accordingly.
5. Will an agent reply to customers or change tickets on its own?
No. Agents on Finsi analyze and propose. Anything that would reach a customer or change data in another system is approved by a person first, runs through Finsi, and is recorded. Each agent only sees the data you give it access to.
Stop losing revenue to preventable support issues
Tell us which support tool you use and what you wish you knew from it. We will show you how agents connect tickets to customer outcomes.