Research and Data Analysis

Marketing Analytics in Customer Behavior and Campaign ROI Training Course

Introduction

In today's data-driven marketing environment, organizations must rely on advanced marketing analytics to understand customer behavior, personalize campaign strategies, and maximize ROI. Marketing Analytics in Customer Behavior and Campaign ROI Training Course equips professionals with the tools and techniques to analyze customer journeys, evaluate campaign effectiveness, and make evidence-based marketing decisions. Using real-world datasets and case studies, this hands-on course helps participants uncover valuable customer insights and optimize marketing performance across digital channels.

With rising competition and increasing customer expectations, understanding consumer data patterns, predicting purchase behavior, and accurately measuring campaign return on investment have become critical skills. This course empowers participants to use cutting-edge tools like Google Analytics, R, Python, Tableau, and predictive modeling to forecast demand, segment audiences, and deliver results. Whether you're a marketing strategist, business analyst, or campaign manager, this course will sharpen your decision-making and help you unlock the full potential of your marketing investments.

Programme Curriculum

Marketing Analytics in Customer Behavior and Campaign ROI Training Course

Introduction

Course Objectives

Understand the fundamentals of customer behavior analytics
Apply predictive analytics to identify buyer trends
Measure and optimize marketing ROI using key performance indicators
Utilize data visualization tools like Tableau for insights
Conduct multichannel attribution modeling
Perform customer segmentation for targeted marketing
Implement A/B testing for campaign performance
Leverage Google Analytics for behavioral tracking
Analyze conversion funnels and drop-off rates
Interpret results using data storytelling techniques
Explore machine learning applications in marketing
Improve customer lifetime value (CLV) predictions
Design data-driven marketing strategies

Target Audiences

Digital marketing professionals
Marketing managers and strategists
Data analysts and business intelligence experts
E-commerce marketers
Brand managers and campaign leads
CRM and customer experience specialists
Market researchers and data scientists
MBA students and marketing graduates

Course Duration: 5 days

Course Modules

Module 1: Introduction to Marketing Analytics

Overview of data-driven marketing
Importance of analytics in decision-making
Key tools and technologies
Types of marketing analytics
Role of KPIs and metrics
Case Study: How Netflix uses customer data to drive engagement

Module 2: Customer Behavior Analytics

Understanding the buyer's journey
Tracking customer interactions across touchpoints
Identifying pain points and conversion blockers
Using psychographic and demographic data
Behavioral segmentation
Case Study: Amazon’s behavioral data-driven personalization

Module 3: Marketing Campaign ROI

Calculating ROI for multi-channel campaigns
Attribution models (first-touch, last-touch, linear)
Lifetime value vs. cost of acquisition
Incrementality testing
ROI benchmarking
Case Study: Coca-Cola’s marketing mix modeling success

Module 4: Predictive Analytics and Forecasting

Introduction to predictive modeling
Regression, classification, clustering techniques
Forecasting customer trends
Tools: R, Python, SPSS
Real-time vs. batch predictions
Case Study: Spotify’s use of predictive models for user retention

Module 5: Data Visualization and Storytelling

Principles of visualizing marketing data
Dashboards and automated reporting
Key tools: Tableau, Power BI
Storytelling techniques to influence stakeholders
Avoiding visualization bias
Case Study: Airbnb’s dashboard strategy for marketing performance

Module 6: Customer Segmentation and Targeting

Why segmentation matters
Segmentation criteria (behavioral, geographic, psychographic)
RFM and cluster analysis
Tools for segmentation: K-means, DBSCAN
Micro-targeting strategies
Case Study: Nike’s personalized marketing through segmentation

Module 7: Conversion Optimization and A/B Testing

Funnel analysis
Testing hypotheses using A/B and multivariate testing
Tools: Google Optimize, Optimizely
Metrics to monitor: CTR, CR, bounce rate
Implementing test-and-learn culture
Case Study: Booking.com’s data-backed testing strategy

Module 8: Advanced Analytics & Machine Learning in Marketing

ML applications in marketing: recommendation engines, churn prediction
Supervised vs. unsupervised learning
Tools and platforms (TensorFlow, Scikit-Learn)
Ethical AI in marketing
Model evaluation techniques
Case Study: Starbucks’ ML-driven loyalty program effectiveness

Training Methodology

Interactive instructor-led sessions
Hands-on exercises with real-world datasets
Live tool demonstrations (Google Analytics, Tableau, R, Python)
Peer discussions and group tasks
Capstone project with data interpretation and recommendations
Assessment through quizzes, assignments, and presentations

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Marketing metrics customer insights ROI analysis

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000