Customer Sentiment Analysis from Support Tickets
Created by
ElasticFlow Team
Verified Creator
Last update
Setup time
10 minutes
What You Get
Proactively address customer dissatisfaction
Improve customer retention and loyalty
Gain insights into customer sentiment trends
Integrations Used
Customer Sentiment Analysis from Support Tickets
Analyze support tickets in real-time to detect sentiment shifts and alert teams to dissatisfied customers.
The Problem
What you're dealing with
Difficulty in understanding customer sentiment
Unhappy customers not identified proactively
Risk of customer churn due to unresolved issues
Manual analysis of support tickets is inefficient
The Solution
How we fix it
Real-time sentiment analysis of support tickets
Proactive identification of dissatisfied customers
Timely intervention to resolve issues
Improved customer satisfaction and retention
Customer Sentiment Analysis from Support Tickets
Analyze support tickets in real-time to detect sentiment shifts and alert teams to dissatisfied customers.
What You'll Get
Proactively address customer dissatisfaction
Improve customer retention and loyalty
Gain insights into customer sentiment trends
Prioritize support efforts effectively
Customize to Your Needs
This workflow is fully customizable to match your specific business needs:
Add or remove integrations - Connect any tools from our marketplace to extend functionality
Adjust logic and conditions - Modify triggers, filters, and branching logic to fit your processes
Map custom fields - Define how data flows between your tools with our visual field mapper
Set up notifications - Get alerts when workflows complete, fail, or need attention
How to Set Up
Get started in 10 minutes with these simple steps
Connect Support System
ZendeskIntegrate with Zendesk, Freshdesk, or other ticketing systems
Configure Sentiment Analysis
Set thresholds for positive, negative, and neutral sentiment
Set Up Slack Alerts
SlackDefine channels and conditions for receiving sentiment alerts
Activate Workflow
Turn on the workflow and start monitoring customer sentiment
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