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delivery
Classroom & Virtual
duration
3 days
enrolled students
9,999
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overview
Course Overview
Business today is all about data. The ability to gather, analyze and interpret customer data is vital to improving customer experience and developing marketing strategies. The Customer Insights and Analytics Course is designed to provide marketing experts, sales managers, and customer representatives with the necessary skills and knowledge to effectively analyze and interpret customer insights to uncover clues on consumer behavior patterns, and market trends. The delivery of the course would be a hands-on, practical session with lots of group discussions, case studies, and real-world examples. At the end of the training, participants will learn how to utilize customer data to gain valuable insights which can be used to develop marketing strategies, enhance customer experience, and generate sales
Learning Outcomes
By the end of the course, participants will be able to:
- Gain a comprehensive understanding of customer insights and analytics concepts.
- Develop skills to collect, analyze, and interpret customer data.
- Learn how to use customer insights to improve customer experience and satisfaction.
- Develop strategies to identify and target customer segments.
- Apply customer insights to develop effective marketing campaigns.
- Measure and evaluate the effectiveness of marketing initiatives using customer data.
- Use customer data to inform product development and innovation.
Curriculum
Introduction to Customer Insights and Analytics
Customer Data Collection and Management
Exploratory Data Analysis for Customer Insights
Customer Segmentation
Customer Satisfaction and Loyalty Measurement
Customer Lifetime Value
Predictive Modeling for Customer Analytics
Applying Customer Insights in Marketing Strategies
Ethics and Privacy in Customer Data Analytics
Introduction to Customer Insights and Analytics
Importance and benefits of customer data analysis
Role of customer insights in decision-making
Customer Data Collection and Management
Sources of customer data
Data collection methods and tools
Data quality management
Exploratory Data Analysis for Customer Insights
Descriptive statistics
Data visualization techniques
Identifying patterns and trends
Customer Segmentation
Introduction to customer segmentation
Segmentation criteria and variables
Clustering techniques for segmentation
Customer Satisfaction and Loyalty Measurement
Surveys and feedback analysis
Net Promoter Score (NPS) and customer satisfaction metrics
Customer loyalty measurement and analysis
Customer Lifetime Value
Understanding CLV and its significance
Calculation methods for CLV
Applications of CLV in marketing strategies
Predictive Modeling for Customer Analytics
Introduction to predictive modeling
Regression analysis and predictive techniques
Forecasting customer behavior
Applying Customer Insights in Marketing Strategies
Personalization and targeting strategies
Campaign optimization using customer insights
Customer journey mapping
Ethics and Privacy in Customer Data Analytics
Ethical considerations in data collection and analysis
Privacy regulations and compliance
Data security and protection
who attends
Right For You
Participants enrolling for this programme will be required to have a minimum of 3 years’ professional experience. Participants who meet the programme requirement should pay the course fee and complete the enrollment form 2 weeks before the programme kick off date.
Requirements:
- Marketing experts, sales and customer representatives
- Working professionals seeking to change career, job, or industry to a marketing and sales-related field
- Individuals who meet the requirements and intend on becoming marketing and sales experts
- Mid to senior-level executives in any sector
Prospective applicants who do not meet the programme requirement but want to join the programme should talk to a Career Advisor.
Key Program Features
Training
The Customer Insights and Analytics training approach employs hands-on learning, which imparts the skills required for specific job roles.
Internship & Projects
The Customer Insights and Analytics course provides up to 4 months of internship while working on real work projects, which adds expertise and verifiable work references in the resident country.
Career Development
The Customer Insights and Analytics course assists participants in securing a job through the development of a professional profile and job prospecting.
teaching team
Meet Your Facilitator(s)
course schedule
The Schedule For This Course
Piston and Fusion offer the Course as Classroom in Lagos and Virtual Online Class in other states in Nigeria. See dates and fees for classroom and virtual online class.
Classroom
Weekdays
Dates:
22nd Apr – 24th Apr, 2025
Days:
Tue, Wed & Thu
Time:
8:30am – 3:30pm
Duration:
3 days
Weekends
Contact Us
Virtual
Weekdays
Dates:
22nd Apr – 24th Apr, 2025
Days:
Tue, Wed & Thu
Time:
8:30am – 3:30pm
Duration:
3 days
Weekends
Contact Us
FAQs
Frequently Asked Questions
Customer Insights and Analytics is the process of collecting, analyzing, and interpreting data about customer behavior, preferences, and interactions to gain a deep understanding of their needs and motivations. This data-driven approach enables businesses to make informed decisions about their marketing, sales, and customer service strategies.
In today's data-driven world, Customer Insights and Analytics are crucial for businesses to improve customer experience, increase customer satisfaction and loyalty, drive sales and revenue growth, gain a competitive advantage, and make data-driven decisions.
This course will cover a wide range of topics related to customer insights and analytics, including data collection methods (e.g., surveys, social media monitoring, website analytics), data analysis techniques (e.g., descriptive statistics, segmentation, predictive modeling), Customer Relationship Management (CRM) systems and their role in data collection and analysis, customer journey mapping and customer experience analysis, using data to personalize marketing campaigns and improve customer interactions, developing customer personas and understanding customer segments, measuring and tracking key customer metrics (e.g., customer lifetime value, churn rate), and utilizing data to identify market trends and opportunities.
This course is designed for professionals who want to leverage customer data to improve business performance, including marketing managers and specialists, sales managers and representatives, customer service professionals, data analysts and business intelligence professionals, and anyone involved in customer-facing roles.
The course will be delivered through a hands-on, practical approach, with a focus on real-world application. This will include interactive lectures and discussions, group exercises and case studies, practical data analysis exercises, and real-world examples and industry best practices.
By attending this course, participants will be able to develop a strong understanding of customer insights and analytics principles, learn how to collect, analyze, and interpret customer data effectively, gain valuable insights into customer behavior and market trends, improve their ability to make data-driven decisions that impact customer experience and business performance, enhance their skills in using data to personalize marketing campaigns and improve customer interactions, and gain a competitive advantage in the marketplace by leveraging customer data effectively.
