Introduction
Understanding customer behavior is essential for improving retention, increasing value, and driving sustainable growth. Customer Analytics for Growth Teams helps professionals use customer data to identify patterns, understand segments, and make smarter decisions across marketing, sales, service, and product functions. The course focuses on practical business applications of customer insight, enabling teams to act more effectively on what customers do, need, and value.
Course Objectives
- Understand how customer analytics supports business growth
- Use customer data to identify patterns and segments
- Improve decisions related to acquisition, retention, and loyalty
- Measure customer value and behavior more effectively
- Strengthen collaboration between growth-related functions
- Apply customer insight to practical business actions
Target Audience
- Growth, marketing, and customer success professionals
- Managers responsible for customer performance metrics
- Sales and service leaders using customer data
- Product teams seeking better customer understanding
- Analysts supporting growth and retention strategies
- Business owners focused on customer-led growth
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Foundations of Customer Analytics0 Items• What customer analytics means in business
• Key customer data sources and metrics
• Understanding customer journeys and behavior
• The role of analytics in growth strategies
• Examples of customer insight creating value - Day 2: Customer Segmentation and Profiling0 Items• Grouping customers by behavior and value
• Demographic, transactional, and behavioral segmentation
• Identifying priority customer groups
• Using segmentation to improve targeting
• Workshop: Building a customer segmentation approach - Day 3: Retention, Loyalty, and Lifetime Value0 Items• Measuring retention and churn
• Understanding repeat behavior and loyalty
• Calculating and using customer lifetime value
• Identifying early warning signs of disengagement
• Practical activity: Analyzing retention patterns - Day 4: Customer Insight for Business Action0 Items• Using analytics for acquisition and upselling
• Improving service experiences through data
• Supporting product and pricing decisions
• Balancing customer value with business objectives
• Case study: Growth decisions driven by customer analytics - Day 5: Building a Customer Analytics Culture0 Items• Embedding customer insight into team routines
• Aligning marketing, sales, and service around shared metrics
• Improving data quality and customer understanding
• Creating a roadmap for customer analytics maturity
• Final group project: Presenting a customer growth strategy using data
Instructor
Lessons:
