
Customer Satisfaction and Loyalty for Contact Centers
Improve Customer Experience and Extend Customer Lifetime Value (CXLV)
AI-powered contact center software can uncover true customer sentiment, behavior, and propensity to help align services for better experiences that cultivate customer loyalty, prevent churn, or win back lost customers.
Customers ARE your business
Deliver Amazing Customer Experiences that lead to Customer Lifetime Value
If you don't have a clear understanding of customers' experiences and satisfaction, a tested plan for customer growth and retention, and a proven methodology for customer recovery, you're missing out on revenue opportunities.
Strengthening customer loyalty and increasing customer lifetime value requires contact center analytics to deliver data-driven insights, customer experience data analytics, and proactive engagement.
Customer Experience + Lifetime Value
The role of CX in Customer Lifetime Value Management

A Focus on Customer Experience and Satisfaction is Just the Beginning
Leverage customer experience analytics and proven solutions to cultivate loyalty and drive long-term success
Customer Acquisition and Satisfaction
Identify high-potential prospects by understanding customer behavior and how they perceive your brand today to deliver personalized, efficient experiences.
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Analyze ICP, profiles, and customer interactions to improve acquisition
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Automate, monitor, and analyze customer-related processes
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Understand impacts from CSAT, NPS, and other third-party data
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Multichannel and multisource interaction analysis
Customer
Retention and Growth
Implement data-driven programs that strengthen customer loyalty and drive revenue growth with existing customers.
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Apply analytical mining to determine customer trends and behaviors
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Implement correct actions for customer dislikes
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Perform correlational analytics to match customers’ likes to your products
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Launch intelligently automated campaigns to upsell and cross-sell
Customer
Churn
Prevention
Identify risks early, address needs, and drive engagement to prevent churn using retention strategies, personalized offers, and automated quality assurance.
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Use predictive analytics to understand and prevent churn factors
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Classify cancellation calls and requests
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Analyze and understand reasons for cancellations
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Determine best cancellation prevention
Customer Recovery and Win-Back
Re-engage and win back lost customers by executing data-driven, personalized re-engagement strategies that meet their evolving needs.
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Analyze underlying lost customer reasons
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Utilize correlational analytics to determine win-back scenarios
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Launch intelligently automated campaigns to win back lost customers
Understand customer motivation and intents
Unlock valuable business intelligence when utilizing customer multichannel interaction analytics with behavior and intent data. Leverage these insights to enhance customer lifetime value and drive smarter engagement.
Analyze and manage the customer journey
Capture, analyze and optimize the customer journey across all touch points. Seamlessly integrate customer experience analytics with enterprise data to create a unified, intelligent customer views.
Intelligently automate self-service
Empower customers with AI-driven self-service solutions that integrate critical front and back-end data. Deliver personalized, digital customer experiences that improve satisfaction and efficiency.
Capture, analyze and act on customer interactions and voice of the customer
Intelligently automate and improve Quality Assurance (QA), compliance, and First Call Resolution using actionable insights, whether in real-time or post-interaction. Leverage multichannel interaction analytics to uncover customer sentiment, behavior, and trends. Act on this data to effectively manage and continuously improve customer experiences.

AI-Driven Building-Block Solutions
Here's how AI contact center solutions add deeper functionality for customer satisfaction, customer loyalty, and lifetime value.
