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

ECXO

It is a comprehensive effort that goes beyond isolated fixes, requiring alignment of leadership, strategy, culture, technology, and processes around the goal of delighting the customer. CX transformation often requires breaking entrenched habits and coordinating across silos, which wont happen without active support from the C-suite.

B2B 339
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Customer Experience Journey Mapping Strategies to Improve Business Performance

InMoment XI

71% of organizations say customer journey mapping has successfully persuaded management to invest in CX efforts and fix existing customer problems. Example: A software company wanting to overhaul their customer support process to improve resolution times can create a future state journey map to show what the ideal process would look like.

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What Is a Good Customer Effort Score and How Can You Earn One? The Complete Guide

TechSee

How can a company achieve a good Customer Effort Score? The agent asks for basic health information and requests copies of their e-ticket and passport, explaining that they will gather the data they need from the documentation, with no further questions necessary. Why is reducing customer effort important?

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Customer Journey Mapping Examples for Beginners

InMoment XI

In the post-acquisition phase, Customer Success and Support own certain customer touchpoints, and are likely already gathering feedback about them from customers. These touchpoints may include the end of the onboarding cycle in SaaS , order delivery in ecommerce, a customer support interaction. Good luck on your journey!

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B2B Customer Experience: The Complete Guide

InMoment XI

Social media marketing platform Hootsuite leverages InMoment to make the Net Promoter Score (NPS) methodology central to its operation. By utilizing the in-app customer feedback software tool, Hootsuite can prioritize CX improvements that will have the most business impact and has been able to triple its Net Promoter Score.

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Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain

AWS Machine Learning

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

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Intelligent document processing with AWS AI services: Part 1

AWS Machine Learning

Organizations across industries such as healthcare, finance and lending, legal, retail, and manufacturing often have to deal with a lot of documents in their day-to-day business processes. There is limited automation available today to process and extract information from these documents.