VoiceBase: Voice Analytics for Call Centers
VoiceBase helps organizations analyze customer interactions across voice, chat, and email. It is designed for teams needing to monitor compliance and identify customer experience trends.
At a glance
- Category
- Browse Data & Analytics tools
- Best for
- Enterprise companies, Contact centers, Customer support teams, Sales teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- PCI Compliance Monitoring, Customer Experience Analysis, Sales Optimization, Agent Performance Monitoring
- Official website
- Visit VoiceBase official website
VoiceBase is a speech analytics platform designed for contact centers. It converts unstructured audio from customer service calls into structured text using natural language processing, which supports the analysis of all interactions rather than relying on random sampling.
The software is designed for organizations in regulated sectors, such as healthcare, financial services, and insurance. It includes tools to detect and redact sensitive payment and personal information from both audio files and transcripts.
Beyond transcription, the platform provides metrics to track agent performance and customer sentiment. This supports operations managers in identifying sales tactics and pinpointing common customer complaints to inform business decisions.
Buyers should confirm whether the deployment options and technical requirements fit their current IT infrastructure and internal data management workflows.
Key Features
Automatic Call Transcription
Uses natural language processing (NLP) to convert recorded audio into text.
PCI/PII Data Redaction
Detects and removes sensitive credit card and personal information from audio and transcripts.
Paralinguistic Metrics
Tracks 40 metrics including silence, overtalk, dynamism, and sentiment.
Predictive Analytics
Uses machine learning to detect and predict complex behaviors within customer interactions.
Omnichannel Analysis
Supports the analysis of chat, email, and CRM data alongside voice recordings.
Developer API
Provides API access for developers to connect analytics to data warehouses or BI tools.
Use Cases
PCI Compliance Monitoring
Removing sensitive payment data from recordings to help meet industry security standards.
Customer Experience Analysis
Identifying common themes and frequently asked questions to help resolve recurring product or service issues.
Sales Optimization
Analyzing successful calls to identify effective verbiage and timing for agent coaching.
Agent Performance Monitoring
Evaluating how agents handle different customer interactions and monitoring adherence to scripts.
Best For
- Enterprise companies
- Contact centers
- Customer support teams
- Sales teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
What does VoiceBase do?
- VoiceBase transcribes contact center recordings using AI and natural language processing to provide insights into customer sentiment, agent performance, and compliance.
How does VoiceBase help with compliance?
- The software detects and redacts sensitive PCI and PII data, such as credit card information, from both audio recordings and text transcripts.
Who is VoiceBase designed for?
- It is primarily designed for enterprise and mid-market companies, specifically those with call centers in industries like healthcare, finance, and insurance.
Can VoiceBase analyze more than just phone calls?
- Yes, the platform is designed to analyze chat, email, and CRM data to provide a view of customer interactions.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
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Categories
Software Type
How AI is used
VoiceBase is a voice analytics tool for enterprise contact centers that uses AI and NLP to transcribe calls and redact sensitive PCI/PII data. It supports customer experience and sales optimization by analyzing sentiment and speech patterns.
Pros & Cons
Pros
- Analyzes all calls rather than small samples
- Automatic redaction of sensitive data
- Detailed paralinguistic data like overtalk and silence
- Developer API for custom data workflows
Cons
- Designed for enterprises, which may exceed the needs of very small businesses
- Requires technical proficiency for implementation
- Pricing is not listed as self-service
