Caplena Description

• Identify Themes
• Illustrate Findings
• Sentiment Analysis by Topic
• Enhanced by Collaborative AI

Caplena serves as a customer feedback platform that leverages augmented intelligence to assist market researchers, customer experience specialists, and consultants in extracting profound insights from qualitative text data.

The inception of Caplena traces back to the realization by co-founders Maurice and Pascal that numerous market research agencies grappling with customer feedback encounter a common challenge: an overload of open-ended responses coupled with insufficient time to conduct thorough analyses.

Since its launch in the Spring of 2018, Caplena has processed over 50 million responses, consistently adding around 120 new projects each week. Today, it stands as the preferred text analytics solution for more than 100 enterprises across over 15 nations, with notable clients including Swisscom, eBay, DHL, Coop, and Joyn, demonstrating its widespread impact and utility in the market research landscape.

Pricing

Free Trial:
Yes

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Company Details

Company:
Caplena
Year Founded:
2017
Headquarters:
Switzerland
Website:
caplena.com/en/

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Product Details

Platforms
Web-Based
Windows
Mac
iPhone App
iPad App
Android App
Types of Training
Training Docs
Live Training (Online)
Webinars
Training Videos
Customer Support
Business Hours
Online Support

Caplena Features and Options

Customer Experience Software

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Customer Feedback Software

Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback

Text Mining Software

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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