Customers ROI Voice of Customer Webinar 
Thematic
NOVEMBER 13, 2018
In this blog, we’ll discuss how to u nderstand your Voice of Customer (VOC) insights and why this is important. What are your customers actually telling you and how do you analyze this information to get to meaningful insights? A new take on Voice of Customer: driven by insights. But how do you do it well?
InMoment XI
APRIL 13, 2022
Customer experience (CX) metrics are a CX program’s bread and butter. NPS, CSAT , and CES have historically been the main tools every program utilizes to have a systematic way of establishing a voice of customer (VoC) source and leveraging those findings to improve customer experiences. What are you doing with it?
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Lumoa
APRIL 18, 2023
As the volume of data companies collect grows and as artificial intelligence (AI) gets better, analytics is set to become a key differentiator for customer experience management. Predictive modeling and real-time data analysis have created huge opportunities for companies to personalize the customer experience. Think about it.
ClearAction
DECEMBER 28, 2016
How to Drive Voice of Customer Insights Company-wide: 3 Steps Lynn Hunsaker. Who needs to hear customer feedback? Just your customer-facing staff? Why: satisfied customers make payroll possible — and everyone’s decisions, attitudes, and handoffs have a ripple effect on customer experience excellence.
Speaker: Diane Magers, Founder and Chief Experience Officer at Experience Catalysts
Transforming customer engagement, Voice of Customer (VoC) insights, and Journey Maps into tangible financial outcomes poses a significant challenge for most organizations. In this exclusive webinar, Diane Magers will guide you through the journey of aligning your customer and employee experience strategy with financial success.
Stella Connect
MAY 11, 2017
Your voice-of-customer (VoC) data collection program is an engine. There’s input (investment) and output (ROI + waste). Your job is to create a sustainable power source with near 100% efficiency (high ROI, minimal waste). Why are so many customer feedback programs so inefficient? And that’s where the data stay.
Totango
SEPTEMBER 1, 2020
In fact, by becoming familiar with the causes of churn and using data to identify its warning signs, it is possible to predict and reduce customer churn. The following (not exhaustive) list gives some of the most common causes of customer churn: The service does not offer the customer value . Ways to Predict Customer Churn.
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