Eclipse AI
Overview
Eclipse AI aggregates chat, surveys, audio/video calls, email, and online reviews into a unified customer feedback workspace. It analyzes trends and highlights signals that relate to churn and experience gaps. Product, marketing, and support teams can use the insights to prioritize actions and reduce manual analysis. The platform is designed to speed decision making and improve retention outcomes.
Use cases
- Identify common reasons for customer churn from mixed feedback sources.
- Prioritize product and service improvements based on customer sentiment.
- Centralize feedback for support and product teams to reduce data silos.
- Measure the effect of changes on customer experience over time.
How it helps
- Reduces time spent aggregating and cleaning omnichannel feedback.
- Surfaces priority issues so teams can act on retention risks faster.
- Improves alignment across product, support, and marketing with shared reports.
Key features
- Unified capture of chat, surveys, calls, email, and reviews to avoid scattered data.
- Automated trend detection that highlights churn signals and urgent topics.
- Prioritized, actionable insights to guide retention and product decisions.
- Dashboards for product, support, and Marketing teams to align follow-up actions.
- Survey import and integrations to reduce manual data transfers.
Pricing
Paid plans available. Check the official site for current details.
Why to choose Eclipse AI?
Eclipse AI consolidates omnichannel voice-of-customer data into a single analytics workspace so teams can quickly spot retention risks and prioritize high-impact actions.
