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A Winning Combination: Unstructured & Structured Data Analytics in Today’s Customer Experience Environment

InMoment XI

In a nutshell, Lexalytics, and Tethr are data analytics platforms focusing on structured and unstructured customer data, as well as solicited and unsolicited feedback. Conversational analytics is also powerful as we are no longer limited to low numbers of survey responses, or hearing only from those customers that take the time to respond.

Analytics 370
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Customer Experience in Insurance: Strategies to Boost Customer Satisfaction

InMoment XI

Customer experience (CX) in insurance refers to the overall journey customers go through when purchasing a policy from an insurance provider. Life insurance customer experience : Life insurance customers need clear, simple communication about policy terms. They want fast claims handling and easy-to-use mobile apps to manage policies.

Insurance 195
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How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

In the following sections, we explore how to lead a successful CX transformational program in a B2B settingcovering everything from executive leadership and strategy to metrics, culture change, and real-world case studies. Quantifying these impacts helps build the business case for investment in CX initiatives.

B2B 339
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A Winning Combination: Unstructured & Structured Data Analytics in Today’s Customer Experience Environment

InMoment XI

In a nutshell, Lexalytics, and Tethr are data analytics platforms focusing on structured and unstructured customer data, as well as solicited and unsolicited feedback. Conversational analytics is also powerful as we are no longer limited to low numbers of survey responses, or hearing only from those customers that take the time to respond.

Analytics 221
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Growth vs. Customer Experience: A Dilemma?

ECXO

Innovate Based on CX Insights What to Do: Use customer feedback and data analytics to identify gaps and develop new products or services. Measure CX Impact on Business Metrics What to Do: Track CX metrics like NPS, Customer Satisfaction (CSAT), and Customer Effort Score (CES).

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A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

Long-term actions are based on the analytics results of customer feedback. Both groups of technologies can be utilized to make analytics more actionable. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

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Enhancing the Customer Feedback Loop Process with Feedback Analytics AI

Thematic

Of course, Thematic, a feedback analytics platform, can help you implement and close the customer feedback loop by turning feedback into clear, actionable insights. All your qualitative feedback and quantitative metrics (like ratings or NPS scores) can be combined and analyzed together.