Remove cluster-analysis
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Unlocking Customer Loyalty in the Insurance Industry: NPS Insights

InMoment XI

NPSx by Bain & Company and InMoment recently released the State of CX: UK Consumer Trends Report , an in-depth analysis of customer perceptions on brand experiences across multiple industries. In this blog, we will delve specifically into the UK insurance industry. What can we Learn From NFU Mutual?

Insurance 260
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Medallia vs. Qualtrics vs. Lumoa: A Buyer’s Guide

Lumoa

If you’re reading this blog post, you are probably one of them. Platform Overview Medallia is a cloud-based CX management software that provides survey features, sentiment analysis, social listening, and AI-powered insights. Qualtrics has been praised for its strong data integration and analysis capabilities.

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Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning

The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. In this blog post, we will show you how to use both of these services together to efficiently perform analysis on massive data sets in the cloud while addressing the challenges mentioned above.

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7 Customer Segmentation Models: Unlock the Power of Precision Marketing 

Optimove

Cluster Analysis Segmentation: Cluster analysis is a commonly used segmentation model that groups customers based on similar characteristics or behaviors. By employing algorithms that analyze data, marketers can create distinct customer clusters with shared traits.

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How to Analyze Survey Results: A Guide to Mastering Customer Feedback Analysis

Lumoa

This article offers a comprehensive guide on how to analyze survey results efficiently, covering everything from the basics to advanced techniques, and provides actionable solutions to common challenges in customer feedback analysis faced by businesses today.

Analysis 208
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DIY CRM Tip: Uncover Customer-Value Segments

Optimove

By clustering customers based on multiple attributes, retailers can provide more relevant and personalized offers to their very different customer segments. Although most retailers cluster customers using attributes such as preferred category or recently purchased product, other more advanced options exist. The Insight. The Action.

CRM 98
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Probability Sampling: Methods, Examples, Differences, and Insights

SurveySparrow

In this blog, we will look into the methods, steps, examples, and all that you need to know about probability sampling. This ensures representation from every subgroup, leading to a more detailed and accurate analysis. Then, they randomly select whole clusters to be part of the sample.