Name: Eclipse AI
Author: Eclipse AI

Communications Outsourcing

Help Desk

Web and Video Conferencing

Customer Support

Push Notifications

Development

Business Intelligence (BI)

Calibration Management

Collaboration

Environmental, Social, and Governance (ESG)

Interactive Voice Response (IVR)

Enterprise

Accounting

Online Trading

Payment Gateway

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Onboarding

Employee Performance Management

HR Management

On-Demand Payment

Payroll

Professional Employer Organizations (PEO)

Resume Parsing

Succession Planning

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Management

Cloud Storage

Distributed Denial of Service (DDoS) Protection

Dynamic Application Security Testing (DAST)

Embedded Business Intelligence (BI)

Endpoint Encryption

File Sync and Share

Fraud Detection

HTML Editors

Hyper-Converged Infrastructure

Integration Platform as a Service (iPaaS)

Monolithic Frame-based Disk Arrays

Network Performance Monitoring

Network Virtualization

Password Management System

Remote Monitoring and Management

Routers

Secure Email Gateway

Session Border Controllers

Solid State Drives

Static Application Security Testing (SAST)

Static Code Analysis

VoIP Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Business Card Scanning

Content Management

Data Management

Direct Mail Automation

Email Marketing

Marketing Automation

Marketing Resource Management

Real-Time Interaction Management

Search Marketing Intelligence

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Sales Gamification

Sales

Auto Repair

Car Rental

Equation Editors

Forestry

Insurance Agency Management

Vertical-Specific

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### Customer Feedback Management
Reviewers consistently praise Eclipse AI for its efficient and user-friendly approach to managing customer feedback. Users highlight the platform's ability to centralize dispersed feedback data from various sources, such as Google Reviews and NPS surveys, providing a comprehensive overview of brand perception and customer satisfaction. While some users express a desire for additional integrations with third-party review sites, overall, Eclipse AI's customer feedback management capabilities are viewed positively for simplifying the process of collecting, analyzing, and acting upon valuable customer insights.

### Customer Experience Analytics
Reviewers consistently highlight Eclipse AI's customer experience analytics as a key strength of the platform. Users appreciate the platform's ability to analyze customer feedback data efficiently, providing valuable insights that drive continuous improvement in customer experience. The AI-powered analytics tools offered by Eclipse AI are commended for their user-friendly interface and time-saving capabilities, allowing businesses to make data-driven decisions to enhance customer satisfaction. While some users mention a desire for more advanced analysis features, overall, Eclipse AI's customer experience analytics capabilities receive positive feedback for their effectiveness in driving CX improvements.

### Survey and Feedback Collection
Users seem to have varying opinions on Eclipse AI's survey data collection process. While some appreciate its ability to efficiently gather and organize feedback from customers, prospects, and sales channel partners, others find the process to be somewhat complex and in need of simplification. The Kanban Action board within Eclipse AI is highlighted as a useful tool for keeping tasks on track, but there are suggestions for making the survey data collection process more streamlined and attractive. Additionally, the integration of Eclipse AI with Boost CX is seen as a valuable asset in improving sales by providing actionable insights derived from customer feedback data.

### Customer Retention Strategies
Users are particularly impressed with Eclipse AI's customer retention strategies, as they are seen as instrumental in identifying and addressing the root causes of customer churn. The AI's ability to provide actionable insights in a timely manner has significantly improved customer retention numbers for many users. Additionally, Eclipse AI's proactive approach in analyzing customer data has helped businesses better understand customer needs and align their value propositions accordingly. This strategic focus on customer retention has been well-received by users, who appreciate the platform's role in predicting and preventing customer churn effectively.

### Proactive Customer Engagement
Users unanimously praise Eclipse AI's proactive approach in enhancing customer engagement and retention through its advanced action tracking capabilities. The tool's proactive customer engagement functionalities are highly regarded for their ability to identify and address potential causes of customer churn before they escalate. While some users note the need for manual validation of AI-generated insights, overall, Eclipse AI's proactive customer engagement features are seen as a valuable asset in driving strategic decision-making and improving overall customer experience.

### Training and Support Services
Users consistently praise Eclipse AI for its robust training capabilities and responsive customer support, highlighting its effectiveness in simplifying data and providing valuable insights. While some users note that training suggestions may occasionally overlap, overall, Eclipse AI's training and support services are seen as a strong asset for unifying customer review data and enhancing operational efficiency across diverse franchise platforms. The platform's ability to generate meaningful insights through AI analysis has been particularly beneficial for marketing, operations, and training teams within organizations utilizing Eclipse AI.

Difficult to recall segment locations: Several users have found it challenging to remember the exact location of segments within Eclipse AI, which can disrupt their workflow and slow down their progress.

Lack of shareable link feature: Users have expressed frustration over the absence of a shareable link feature in Eclipse AI. This limitation makes it difficult for them to quickly share important dashboards and actionable insights with specific individuals, hindering collaboration and communication.

Need for more in-depth analysis tools: Some users feel that Eclipse AI could benefit from additional in-depth analysis tools. They believe that these tools would provide a more comprehensive understanding of data patterns and trends, enhancing the overall analytical capabilities of the software.

Analytical and Multi-perspective Analysis: Users have found Eclipse AI to be highly analytical, allowing for analyses from multiple perspectives. Several reviewers have appreciated the platform's ability to provide a clear snapshot of what customers are saying, making it easy to understand and interpret data.

Simplifies Large Amounts of Data: Eclipse AI simplifies large amounts of data, offering simple training possibilities. Multiple users have expressed their appreciation for how this feature enables them to handle extensive datasets effortlessly.

Valuable Insights and Recommendations: The AI analysis provided by Eclipse AI generates valuable insights that are being utilized by various teams such as marketing, operations, and training. Numerous reviewers have praised the platform's comprehensive dashboards which not only unify customer review data from different sources but also provide actionable recommendations for enhancing customer experience and boosting sales based on the analysis of customer feedback data.

Eclipse AI has proven to be a valuable tool for businesses in solving various critical business problems. Users have experienced the benefits of proactively identifying and resolving issues by leveraging the software to understand customer feedback and negative reviews. By analyzing data from various sources such as Google My Business reviews, NPS surveys, and sales channel partners, Eclipse AI has helped businesses gain a comprehensive understanding of customer needs and preferences. This enables them to make data-driven decisions, improve customer experiences, and increase sales.

The software's ability to consolidate dispersed feedback data into one centralized platform has played a significant role in streamlining operations for businesses with multiple teams. With Eclipse AI, teams can easily access a single source of truth and collaborate more effectively. Moreover, the software doesn't just provide dashboards; it also recommends prioritized enhancements based on its evaluation of the data, assisting companies in becoming more proactive in improving customer retention.

Another key business problem addressed by Eclipse AI is customer churn prediction. The software offers timely and valuable intel on potential churn so that users can take proactive measures to prevent it. By providing actionable insights and recommendations, Eclipse AI helps businesses retain existing customers by improving their experiences and addressing any gaps or issues before it's too late.

Additionally, Eclipse AI simplifies the process of collecting and analyzing customer feedback, saving businesses significant time and effort. It automates tasks such as NPS collection and provides easy-to-understand dashboards for anyone within the company. Users appreciate that the software allows them to gather quality feedback from customers and employees alike, slicing and dicing the data to identify trends and emerging issues based on various variables.

In summary, Eclipse AI solves critical business problems by empowering users to proactively address issues through an in-depth understanding of customer feedback. It enables businesses to consolidate feedback data, make data-driven decisions, prevent customer churn, improve experiences, and streamline operations. By providing actionable insights in an efficient manner, Eclipse AI proves to be a valuable tool for businesses looking to enhance customer satisfaction, increase sales, and drive overall growth.

OvationCXM is a Customer Experience Management (CXM) company helping businesses and their partner ecosystems deliver  customer experiences with complete visibility and precise control.

Reactive

Asissted

Automated

Proactive

CXMEngine by OvationCXM

Churn360 brings customer data that exists in various sources into one single view making it easier for Customer Success Managers to get a complete picture of the customer. Churn360 integrates with third party customer communication software to brings all communication related to one customer in a single place, and integrates with financial systems like Chargebee and usage tracking softwares like Segment to bring in all the data the data needed to understand the health of the customer in one quick glance.

Startup

Professional

Churn360

Eclipse AI

Customer Experience Management (CX, or CXM, or alternately CEM) is an approach to guiding the customer experience with an emphasis on personalization, customer journey, feedback, knowledge, and self-teaching. CXM platforms present a centralized place to oversee and manage the customer experience through integrations with a web content management system, a CRM, and other sources of data to improve customer engagement and enhance the online user experience.

Customer Experience Management

Connect voice-of-customer from different channels.

Real-time analytics to drill down and predict churn.

AI-generated Risk Mitigants that reduce customer churn.

AI-customised content on latest best practices for reducing churn.

Eclipse AI is a plug-n-play AI tool that detects the risk indicators that lead to customer churn.

Customer experience management

Features that allow businesses to track customer sentiment and feedback, analyze and optimize the customer journey, and personalize content and website experiences for users.

Multi-channel customer feedback collection

The ability to collect qualitative and quantitative feedback from customers across a range of inputs. These could include in-app polls and surveys, email surveys, comments made on social platforms, SMS / messaging comments, NPS score, customer contributed videos, and focus group interviews.

Product usage analytics

The ability to see how, where, and when users are using your platform (e.g. how long users spend on a page, which actions they take, etc.)

Customer experience profiles

Profiles that correspond to individual customers or accounts and display a record of interactions your brand has had with that customer.

Customer experience dashboard

A dashboard that shows an aggregated view of things like customer sentiment, churn risk, qualitative and quantitative feedback, etc.

Customer journey mapping

The ability to map out the journey your customers take by persona.

Churn risk scoring

A score or metric that predicts how likely a given customer or account is to churn. This may be more relevant for B2B companies.

AI-powered recommendations

Customer experience optimization recommendations that are driven by AI-recommendations.

Website A/B testing

The ability to A/B test your website and optimize parts of the customer experience with your product.

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

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Eclipse AI

Overview

What is Eclipse AI?