Using Data to Create a Better Customer Experience
44mGeneral2024-07-15
Authors

Madecraft
Full-Service Learning Content Company

Samuel Cummings
Course details
Samuel Cummings, a seasoned expert in data and customer service, explores how to use data to elevate customer interactions. This course helps you identify, collect, and utilize customer data effectively. Samuel teaches you how to analyze and apply data findings to your customer service needs. After this course, you'll be ready to empower your customer success with actionable, data-driven strategies.
Learning objectives
Interpret customer data to enhance service experiences.
Apply analytics to predict customer needs and preferences.
Design data-driven personalization strategies for impactful customer interactions.
Safeguard customer data with best privacy and security practices.
Utilize large language models (LLMs) for personalized customer engagement.
Learning objectives
Interpret customer data to enhance service experiences.
Apply analytics to predict customer needs and preferences.
Design data-driven personalization strategies for impactful customer interactions.
Safeguard customer data with best privacy and security practices.
Utilize large language models (LLMs) for personalized customer engagement.
Skills covered
Customer Service ManagementDecision-MakingBusiness AnalyticsCustomer ServiceLimited SeriesData ScienceProfessional DevelopmentLeadership and Management
Concepts
0. Introduction
- 01 - Empower better customer experiences
1. Understand Customer Data
- 02 - Distinguish types of customer data
- 03 - Collect and merge customer data
2. Analyze Customer Data
- 04 - Recognize and avoid data biases
- 05 - Techniques for customer health scoring
- 06 - Predict key metrics with analytics
3. Personalize Customer Experience
- 07 - Ensure data privacy and security
- 08 - Leverage personalization strategies
- 09 - Measure the impact of personalization
4. Drive the Customer Experience with LLMs
- 10 - Identify use cases for LLMs
- 11 - Craft prompts for better engagement
5. Advanced Practice Exercises
- 12 - Segment and target customers
- 13 - Build a hyper-personalized campaign
Conclusion
- 14 - Empower customer success with data
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