Verint CX Intelligence
Automate the journey from conversations to actionable customer intelligence and measurable business outcomes.
Go from listening to action by capturing the full spectrum of customer feedback across channels.
A retailer improved conversions and revenue by analyzing unstructured customer feedback.
A bank used real-time dashboards to measure and improve CX.

Capture every direct, indirect, and inferred signal across touchpoints thanks to a resilient, channel-agnostic layer.
Reveal behaviors, trends, and predictive signals with an AI-powered environment that combines structured and unstructured data.
Turn insights into immediate action with tools that automatically trigger workflow changes, real-time agent guidance, and digital journey adjustments.


Analyze every customer conversation across voice and digital channels and turn unstructured data into customer intelligence and business outcomes faster with market-leading transcription accuracy, unified omnichannel interaction analysis, and an intuitive interface for querying customer data in natural language.


Verint Genie Bot uses generative AI to significantly reduce the time from data collection to impact. The bot gives analysts the power to access immediate insights from unstructured data down to individual interaction level.
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Accessing CX data has never been easier. Verint Data Insights Bot uses AI to automate access to insights across your behavioral data, automatically generating dashboards meaning any user can see any data, in any format, at any time.
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Identify customer struggles and take action in real-time to repair the customer experience. Verint analyzes millions of clicks, gestures and taps as they happen to allow you to visualize and quickly act on trends and anomalies during digital interactions.



Automate the journey from conversations to actionable customer intelligence and measurable business outcomes.
Supercharge analyst capacity to deliver the insights you need to drive business outcomes.
Unlock powerful customer insights with Verint’s market leading speech-to-text transcription software.
Use AI to automate quick access to insights across all your behavioral data. Easily track the value of your AI investments.
Voice of the Customer (VoC) solutions are tools and strategies designed to capture, analyze, and act on customer feedback. These solutions help businesses understand customer needs, preferences, and pain points, enabling them to enhance the customer experience.
VoC solutions are crucial for:
VoC solutions typically follow four key steps:
VoC solutions enhance experiences by identifying key pain points and delivering solutions tailored to customer needs. By addressing issues proactively, businesses can improve satisfaction, build loyalty, and create personalized interactions.
The Voice of the Customer (VoC) methodology involves systematically gathering and analyzing customer feedback to understand their needs and preferences. It typically involves surveys, multichannel listening and monitoring digital behavior, followed by action plans to address customer insight.
An example of a VoC program is a company using AI-powered tools to analyze customer surveys and trigger automated actions based on the feedback. This data informs product improvements, streamlines customer support, and enhances loyalty by addressing common pain points.
To implement a VoC strategy:
Technology improves NPS by enabling real-time feedback collection, advanced analytics, and automated actions. Verint Voice of the Customer solutions use:
AI-powered predictive modeling to identify drivers of loyalty and prioritize improvements.
These capabilities help organizations act quickly on insights, reduce friction, and deliver experiences that boost NPS. A bank increased NPS by 25 points using real-time dashboards to measure and improve CX.
Analyzing voice of the customer (VOC) data is essential for businesses to uncover actionable insights that enhance the customer experience. At Verint, the three key forms of VOC analysis are:
Speech Analytics: Automatically discovers and analyzes words, phrases, categories and themes from every voice interaction, generating rich behavioral data that delivers immediate business outcomes.
Text Analytics: Analyzes large volumes of unstructured data from text-based interactions across digital channels to identify topics and significant trends, as well as customer sentiment from every text-based customer interaction.
Digital Behavior Analytics: Uses customer session replays and digital engagement data from mouse tracks, touch gestures, clicks and form interactions to optimize digital CX across websites and mobile apps.
Identifying customer service trends requires tools that analyze large volumes of structured and unstructured data.
Verint offers:
These tools help organizations spot issues early, optimize processes, and improve both customer and agent experiences.