ClientZen 每月有 669 次造訪，月增率 -73.9%，定價模式為免費試用、付費、需聯絡報價。Enterpret 每月有 51,665 次造訪，成長率 -14.1%，定價模式為需聯絡報價。
ClientZen is an AI customer feedback analytics platform that aggregates, cleans and automatically tags feedback from tickets, reviews, calls and more, then surfaces contact reasons, recurring issues, feature requests, sentiment drivers and real-time alerts.
把每一則客戶回饋變成有優先順序、可執行的問題
| 面向／指標 | | |
|---|---|---|
| 官方網域 | clientzen.io | enterpret.com |
| 定價模式 | 免費試用、付費、需聯絡報價 | 需聯絡報價 |
| 每月造訪次數 | 669 (669) | 5.17萬 (51,665) |
| 月流量變化量 | -1896 (-73.9%) | -8472 (-14.1%) |
| 主要市場與市佔 | 🇮🇳 印度 (100%) | 🇮🇳 印度 (50.4%) |
| 每月直接造訪 | 257 | 4.12萬 |
| 使用者評分 | 4.1 | 4.3 |
| 支援平台 | 網站 | 網站 |
ClientZen is an AI customer feedback analytics platform that aggregates, cleans and automatically tags feedback from tickets, reviews, calls and more, then surfaces contact reasons, recurring issues, feature requests, sentiment drivers and real-time alerts.
ClientZen aggregates, cleans and applies consistent semantic tags to every piece of customer feedback automatically, so tagging stays uniform at scale.
Surface contact reasons, recurring issues, main questions, top feature requests and the real drivers of negative sentiment from one dashboard.
Mantra AI answers specific customer experience questions using your own feedback and context, so ad-hoc research becomes as simple as asking.
Track feedback trends, detect anomalies such as feedback spikes, and get personalized notifications before issues escalate.
把每一則客戶回饋變成有優先順序、可執行的問題
依照你定義的分類體系對回饋與洞察歸類，讓主題在量體與語言成長時仍保持一致。
為每筆回饋附上帳戶、營收、客群與產品脈絡，找出代價最高的問題。
用自然語言向回饋提問，取得可執行的洞察，從發佈檢討到反覆出現的需求。
把發現推送到 Jira、Linear 等系統，或觸發由代理驅動的工作流程，自動開單並確認修正。
整合支援、銷售與服務的 AI 客戶體驗平台
unitQ is an AI platform that scores every customer conversation — human or AI agent, across chat, voice, email, SMS, reviews, surveys, and social — against your own quality standards. It surfaces process failures, compliance issues, and recurring product problems in real time so support, product, and CX teams can act on them.
unitQ is an AI platform that scores every customer conversation — human or AI agent, across chat, voice, email, SMS, reviews, surveys, and social — against your own quality standards. It surfaces process failures, compliance issues, and recurring product problems in real time so support, product, and CX teams can act on them.
