Eclipse AI

Eclipse AI transforms customer feedback into actionable insights using advanced AI analytics. It's designed for customer success managers and support teams who need to understand sentiment, trends, and pain points across all customer interactions.

Customer Support & Help Desk Reporting & Analytics

Custom pricing based on volume and features; contact for quote

Problems It Solves

Analyze large volumes of customer feedback manually without losing critical insights
Identify customer pain points and satisfaction trends across multiple communication channels
Detect sentiment shifts and potential churn risks before they impact retention
Extract actionable insights from unstructured customer data to inform product and support decisions
Create comprehensive reports on customer satisfaction and support team performance
Reduce time spent on manual feedback categorization and analysis
Align customer success and support teams around shared customer intelligence

Who Is It For?

Perfect for:

Customer success managers and support leaders who want to understand customer sentiment and identify trends from feedback data.

Not ideal for:

Teams looking for basic ticketing systems or those who don't have significant volumes of customer feedback to analyze.

Key Features

Sentiment Analysis

Automatically analyzes customer feedback to detect sentiment, emotions, and key themes across support tickets, surveys, and communications.

Trend Detection

Identifies emerging patterns and trends in customer feedback to help teams stay ahead of issues and opportunities.

Automated Insights

Generates AI-powered summaries and actionable insights from large volumes of unstructured customer data.

Multi-Channel Integration

Aggregates feedback from email, chat, surveys, social media, and other customer touchpoints into a unified dashboard.

Custom Reporting

Creates customizable reports and dashboards to track key metrics and share insights with stakeholders.

Root Cause Analysis

Identifies underlying reasons behind customer issues and satisfaction trends to inform strategic decisions.

Team Collaboration

Enables teams to collaborate on insights, assign action items, and track resolution of identified issues.

Predictive Analytics

Uses historical data to predict customer churn risk and identify high-value customers needing attention.

Eclipse AI vs Alternatives

Intercom

From $29/seat/month, AI resolutions billed per use

Intercom is a broader customer communication platform with built-in analytics, while Eclipse AI specializes specifically in feedback analytics and sentiment analysis with deeper AI-powered insights.

HubSpot AI

Free CRM available, Starter from $20/month

HubSpot AI offers general CRM analytics and automation, whereas Eclipse AI focuses specifically on customer feedback analysis and trend detection across multiple channels.

Brand24

Plans start at ~$79/month. 14-day free trial available.

Brand24 focuses on social media monitoring and brand mentions, while Eclipse AI provides broader feedback analytics across support channels, surveys, and customer communications.

Fireflies

Free plan available, Pro from $18/user/month

Fireflies specializes in meeting transcription and conversation intelligence, while Eclipse AI focuses on analyzing written customer feedback and support interactions for sentiment and trends.

Metabase

Free open-source version, hosted Pro starts at $85/month

Metabase is a general-purpose business intelligence tool, while Eclipse AI is purpose-built for customer feedback analysis with pre-built models for sentiment, churn prediction, and customer insights.

Frequently Asked Questions

What types of customer feedback can Eclipse AI analyze?▼

Eclipse AI can analyze feedback from multiple sources including support tickets, customer surveys, email communications, chat transcripts, social media mentions, and review platforms. It aggregates all these data sources into a unified analytics platform.

How accurate is the sentiment analysis?▼

Eclipse AI uses advanced NLP and machine learning models trained on customer support data. Accuracy typically ranges from 85-95% depending on feedback type and language, with continuous improvement as the system learns from your data.

Can I integrate Eclipse AI with my existing tools?▼

Yes, Eclipse AI integrates with popular platforms like HubSpot, Intercom, Zendesk, Slack, and others. It also offers API access for custom integrations and supports Zapier for connecting to hundreds of other applications.

How long does it take to see insights from Eclipse AI?▼

You can see initial insights within hours of connecting your first data source. The system continuously analyzes new feedback in real-time, with deeper trend analysis becoming more accurate as more historical data is processed.

Is my customer data secure with Eclipse AI?▼

Eclipse AI implements enterprise-grade security including encryption at rest and in transit, SOC 2 compliance, and regular security audits. Data is processed securely and can be configured for on-premise or private cloud deployment.

What support does Eclipse AI provide?▼

Support includes email support for all plans, priority support for Professional tier, and dedicated account management for Enterprise customers. They also provide onboarding assistance and training resources.

Pricing

Starter

$Contact for pricing

/monthly

Small teams getting started with feedback analytics

Basic sentiment analysis
Up to 5,000 feedback items/month
Standard integrations
Email support

Professional

$Contact for pricing

/monthly

Growing teams needing advanced analytics and reporting

Advanced sentiment analysis
Up to 50,000 feedback items/month
Multi-channel integration
Custom dashboards
Priority support

Enterprise

$Contact for pricing

/yearly

Large organizations with complex feedback management needs

Full AI analytics suite
Unlimited feedback items
All integrations
Custom workflows
Dedicated account manager
API access

Quick Info

Learning curve:easy

Platforms:

web

Integrations:

hubspot-crm, intercom, zendesk, slack, salesforce +5 more

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