Overview
What is Eclipse AI?
Eclipse AI is a plug-and-play AI tool that detects the risk indicators that lead to customer churn. Eclipse AI allows users to plug in voice-of-customer data from different channels (surveys, reviews, chat logs, phone logs, etc.). Eclipse AI then generates risk…
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Product Details
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What is Eclipse AI?
Eclipse AI Features
Customer experience management Features
- Supported: Multi-channel customer feedback collection
- Supported: Customer experience dashboard
- Supported: Churn risk scoring
- Supported: AI-powered recommendations
Eclipse AI Screenshots
Eclipse AI Video
Eclipse AI Competitors
Eclipse AI Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Unspecified |
Mobile Application | No |
Supported Countries | Australia, New Zealand |
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Reviews
Community Insights
- Business Problems Solved
- Pros
- Cons
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.
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.
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.