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What is Verint Predictive Modeling?

Understanding cause-and-effect relationships can significantly enhance the creation of positive experiences. In the absence of clarity regarding which actions yield tangible benefits, business decision-making risks devolving into mere speculation. Relying solely on surface-level correlations or fragmented information is an inefficient use of both time and resources. Verint Predictive Modeling offers a solution. This cutting-edge platform provides a comprehensive perspective on customer and employee experiences by evaluating various touchpoints and forecasting potential enhancements. Armed with this valuable insight, organizations can make better-informed decisions, ultimately leading to increased revenue, enhanced loyalty, improved retention rates, and a stronger competitive edge in the marketplace. Additionally, leveraging such predictive analytics can foster long-term relationships with customers, ensuring sustained growth and success.

What is InMoment?

Businesses are increasingly aware of the importance of improving customer experiences to stay ahead in the market, yet many find it difficult to achieve substantial advancements. Even though customer satisfaction scores might improve, companies often experience a drop in revenue, creating a perplexing situation. The reliance on outdated techniques like simple feedback collection and traditional monitoring can lead to misplaced priorities that hinder progress. To tackle this challenge, we created InMoment, a platform designed to transform the Experience Improvement (XI) landscape by redefining how companies align their strategies with customer engagement. Our strategy combines cutting-edge technology with deep human insight, enabling organizations to craft effective and profitable initiatives that enhance experiences at the vital crossroads of customer, employee, and business needs. Given that experiences are deeply personal, emotionally driven, and constantly evolving, identifying where to focus efforts can be a daunting yet critical task for achieving success. By pinpointing and prioritizing the most significant emotional touchpoints, companies can cultivate stronger relationships with their key customers and stimulate long-term growth. Concentrating on these high-impact moments is crucial not only for boosting customer loyalty but also for enhancing overall organizational performance, ensuring that businesses thrive in an ever-changing competitive landscape. This holistic approach ultimately positions companies to adapt and flourish in response to evolving consumer expectations.

Media

Media

Integrations Supported

Geomant
Minitab Statistical Software
Skypoint AI Platform
ethosIQ Customer Engagement Platform

Integrations Supported

AccessOwl
Adobe Marketo Engage
Booking.com
Facebook
Foursquare
Glassdoor
Graphite Connect
Instagram
Lexer
Meltano
Microsoft Dynamics 365
PULSE Software
Slack
Trustpilot
Workday HCM
Zendesk

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Verint

Date Founded

1994

Company Location

United States

Company Website

www.verint.com/voice-of-the-customer/predictive-modeling/

Company Facts

Organization Name

InMoment

Date Founded

2002

Company Location

United States

Company Website

inmoment.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

Not specified

NPS

Not specified

Categories and Features

360 Degree Feedback

Not specified

Customer Experience

Not specified

Customer Feedback

Not specified

Experience Management

Not specified

Market Research

Not specified

NPS

Not specified

User Research

Not specified

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