Euroasia Training Euroasia Training
AR

Marketing and Customer Experience Management

Analytics and Data-Driven Marketing Approaches

12 units

Please select a city/session before registration.

About this program

In today’s era of digital transformation, marketing decisions should be based on data insights rather than intuition alone. Data-driven marketing enables organizations to tailor campaigns, optimize budgets, and enhance customer engagement through predictive analytics and data insights. This course explores customer segmentation, marketing analytics frameworks, campaign evaluation, predictive modeling, and digital decision-making tools. Participants will develop practical expertise to create strategies that maximize ROI and ensure marketing efforts align with overall organizational objectives. EuroQuest International Training delivers this course by combining industry best practices, interactive workshops, and case studies to equip professionals with the skills to develop and execute analytics-centered marketing strategies.

Key outcomes

  • Explain the core concepts of data-driven marketing and analytics
  • Perform customer segmentation utilizing behavioral and demographic data
  • Develop marketing campaigns informed by insights and predictive analytics
  • Effectively track KPIs and utilize marketing dashboards
  • Implement attribution models to evaluate campaign effectiveness
  • Leverage AI and machine learning for marketing enhancements
  • Incorporate customer feedback into ongoing marketing improvements
  • Align marketing analytics initiatives with broader organizational strategies
  • Identify and manage risks and ethical issues related to data usage
  • Utilize omnichannel analytics to deliver consistent customer experiences
  • Compare and benchmark analytics approaches against global standards
  • Create sustainable, long-term data-driven marketing strategies

Who should attend

  • Marketing and brand managers
  • Digital marketing professionals
  • Data analysts and marketing strategists
  • Business development executives
  • Consultants specializing in marketing analytics and performance

Course outline

1

Unit 1: Overview of Data-Centric Marketing

  • Importance of data in contemporary marketing
  • Advantages and obstacles of analytics-based decision making
  • Examples of campaigns guided by data
  • Interactive session on preparing data capabilities
2

Unit 2: Customer Profiling and Analytical Insights

  • Models for behavioral and demographic customer segmentation
  • Tools to discern customer requirements and preferences
  • Charting customer journeys using data
  • Hands-on exercises in segmentation techniques
3

Unit 3: Frameworks for Marketing Analytics

  • Essential metrics to evaluate marketing impact
  • Creating analytical frameworks for marketing initiatives
  • Models for attributing marketing expenditures
  • Collaborative task on designing analytics frameworks
4

Unit 4: Evaluating Campaigns and Return on Investment

  • Instruments to assess campaign effectiveness
  • Connecting key performance indicators with ROI and business objectives
  • Models for multi-channel attribution
  • Practical workshop on campaign data analysis
5

Unit 5: Utilizing Predictive Analytics in Marketing

  • Using data models to anticipate customer actions
  • Applying machine learning to enhance campaign outcomes
  • Decreasing customer attrition through predictive insights
  • Simulated exercises on predictive analytics
6

Unit 6: Analytics for Digital Marketing

  • Assessing social media and online marketing efforts
  • Web traffic analysis and optimization techniques
  • Analytics focused on mobile-first marketing
  • Case studies highlighting digital marketing results
7

Unit 7: Analytics for Enhancing Customer Experience

  • Evaluating customer satisfaction and loyalty levels
  • Customer experience metrics including NPS, CSAT, CES
  • Applying analytics insights for personalization
  • Team project focused on CX analytics
8

Unit 8: Data Visualization and Dynamic Dashboards

  • Software tools for building marketing dashboards
  • Visualization best practices to support decision-making
  • Real-time monitoring of KPIs
  • Hands-on workshop for dashboard creation
9

Unit 9: Incorporating AI and Automation in Marketing Analytics

  • Strategies for AI-powered personalization
  • Automated systems for reporting and data gathering
  • Use of chatbots and smart engagement technologies
  • Case studies demonstrating AI applications in marketing
10

Unit 10: Managing Risk, Privacy, and Data Governance

  • Ethical issues in data-driven marketing efforts
  • Compliance with GDPR and related regulations
  • Establishing customer confidence in data handling
  • Workshop on creating governance frameworks
11

Unit 11: Worldwide Best Practices in Data-Driven Marketing

  • Global case studies on analytics implementation
  • Current trends in international marketing performance management
  • Insights from organizations prioritizing data
  • Group discussions on global best practices
12

Unit 12: Final Project on Data-Driven Marketing

  • Collaborative project developing an analytics-based campaign
  • Strategic design incorporating insights and KPIs
  • Presentation of marketing plans focused on ROI
  • Developing a final adoption strategy for organizations