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What is Emotics?

Emotics serves as a sophisticated emotion analytics platform that deciphers textual data derived from feedback from customers and employees, enabling the provision of actionable insights for businesses. By organizing emotions and themes into categories such as strengths, weaknesses, opportunities, and threats, Emotics equips organizations with a strategic lens through which to view their customer and employee experiences. It automatically establishes benchmarks that reveal how companies compare to their competitors, while also pinpointing specific aspects of customer experience that may require improvement or optimization. Moreover, the platform features a proactive alert system that identifies emotions potentially leading to significant business actions, aiding in uncovering the root causes of emotional responses. With the capability to assess emotional intensity across eight distinct indexes and 24 different emotions, it accurately identifies which emotional elements are shaping customer experiences positively or negatively. In addition, Emotics enhances the understanding of customers by integrating seamlessly with various tools, such as NPS, CSAT, product reviews, and social media data, as well as platforms like SurveyMonkey and Zendesk. By transcending conventional sentiment analysis and augmenting NPS capabilities, Emotics emerges as a vital resource for gaining insights into customer perception and engagement. Ultimately, this platform empowers businesses to make well-informed decisions that are underpinned by profound emotional understanding, paving the way for strategic enhancements in customer relations. Such capabilities ensure that organizations can adapt quickly to changing emotional landscapes, fostering stronger connections with their audiences.

What is Cx Moments?

Quickly gain valuable insights from customer interactions, enabling you to pinpoint the main issues that irritate them and negatively affect your business. With just a few clicks, you can efficiently sort and analyze vast amounts of customer support requests, tickets, and live chat sessions. The conventional approach of manually tagging tickets can be laborious and inconsistent, often resulting in crucial details being overlooked and many support tickets remaining untagged. Cx Moments AI excels beyond your agents by tagging tickets with greater speed and accuracy, no matter how intricate the categorization may be. Moreover, we can retroactively assign new tags or categories to your entire ticket history, ensuring nothing is missed. Cx Moments further enhances your workflow by providing automatic summaries of customer inquiries based on department, which helps you highlight specific issues pertinent to each team. With a single click, you can discover which contact drivers are increasing and require prompt action. This system also reveals areas where your agents may struggle, indicating possible training opportunities to boost their effectiveness. By harnessing these insights, your organization can dramatically elevate customer satisfaction and improve overall operational efficiency, setting the stage for long-term success. Enhanced visibility into customer interactions can lead to proactive measures that strengthen relationships and drive loyalty.

Media

Media

Integrations Supported

Zendesk
Dixa
Freshdesk
Freshservice
GitLab
HubSpot Service Hub
Kayako
LiveChat
Reddit
Salesforce
Slack
SurveyMonkey
TeamSupport
X (Twitter)
Zendesk Chat
Zoho Desk

Integrations Supported

Zendesk
Dixa
Freshdesk
Freshservice
GitLab
HubSpot Service Hub
Kayako
LiveChat
Reddit
Salesforce
Slack
SurveyMonkey
TeamSupport
X (Twitter)
Zendesk Chat
Zoho Desk

API Availability

Has API

API Availability

Has API

Pricing Information

$289 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Adoreboard

Date Founded

2011

Company Location

United Kingdom

Company Website

adoreboard.com/platform

Company Facts

Organization Name

Cx MOMENTS

Date Founded

2016

Company Location

Ireland

Company Website

www.cxmoments.com

Categories and Features

Customer Experience

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

Customer Feedback

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

Customer Journey Mapping Tools

Action Management
Attribution Modeling
Behavioral Analytics
Collaboration
Customer Profiles
Data Import / Export
Predictive Analytics
Surveys & Feedback
Templates

NPS

Text Mining

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

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Customer Service

Alerts / Escalation
Appointment Management
Call Center Management
Email Management
Knowledge Base
Live Chat
Performance Metrics
Queue Management
Self Service Portal
Social Media Integration
Surveys & Feedback
Virtual Assistant
Workflow Management

Text Mining

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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