Natural language processing to understand the exact customer sentiment from unstructured customer interactions
Design data-driven strategies to improve CSAT and correlate multiple KPIs to drive NPS
Automated root cause analysis to identify top categories that drive customer dissatisfaction
Proactively offer personalized interactions, offers, and solutions to your customers
Analyze unstructured interactions to reveal the top call categories that are driving cancellations
Integrate churn scores with IVR and route calls from at-risk customers to specially skilled agents
Predict churn score for every customer by using sentiment from agent notes, call reasons, and surveys
Churn propensity-based proactive customer contact, loyalty and recovery programs
Identify top call categories that drive repeat calls by applying text analytics on agent notes
Identify top opportunities to optimize processes, IVR design, and agent performance
Automated root cause analysis to understand why FCR is low for specific call categories
Identify top automation opportunities with unified analytics of agent notes, IVR logs, and call center data
Multi-dimensional text analytics on unified contact center customer data to understand caller intent
Sequence interactions to understand what happened before and after a call for every interaction
Correlate every contact center interaction or transaction with the root causes which could have triggered that event
Map customer journey events such as transactions and interactions to reveal life cycle stage of a customer
Use contact center data to identify customer pain points and gaps in services and processes across the customer journey
Review competitor mentions in the call center data and set competitor benchmarks. Leverage this information for future growth strategies
Segment customers based on various parameters and create targeted engagement, marketing, and service strategies
Remove customer blind spots, identify cross-functional collaboration opportunities, and put customer at the center of your business
Request a proof of concept (PoC) to see how VOZIQ’s powerful predictive text analytics addresses your key contact center challenges. VOZIQ’s data scientists will work with you to create a proof of concept for your specific use case.
VOZIQ ingests speech analytics intelligence as an input data source and complements the analytics
Unify every customer data source within contact center – not just speech – to gain deep customer experience insights
With VOZIQ’s Predictive Text Analytics, diagnose customer experience issues and predict its impact on business
Leverage post-call agent notes, the largest sample of human interpreted CX data, to understand each and every customer
VOZIQ's predictive text analytics easily scales up to serve many more use cases related to customer value, customer service experience, and customer service efficiency.
Need some ideas? We have compiled 40 use cases of VOZIQ's Text Analytics for Customer Value Leaders.
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