What will you learn in Marketing Analytics Mastery: From Strategy to Application Course
Master marketing measurement frameworks and attribution modeling
Analyze campaign ROI using marketing analytics techniques
Use Excel, statistics, and data-driven strategies to improve performance
Understand key metrics like CAC, LTV, CTR, CPC, and conversion rates
Learn to apply regression, clustering, and marketing mix models
Program Overview
Module 1: Introduction to Marketing Analytics
⏳ 1 week
Topics: What is marketing analytics, key terms, types of data
Hands-on: Set up Excel sheets to track campaign performance
Module 2: Descriptive Analytics & KPIs
⏳ 1 week
Topics: Customer Lifetime Value (LTV), Customer Acquisition Cost (CAC), ROI
Hands-on: Calculate LTV and CAC using marketing datasets
Module 3: Predictive Analytics Techniques
⏳ 1 week
Topics: Regression analysis, forecasting, churn modeling
Hands-on: Run linear regression to predict campaign success
Module 4: Customer Segmentation & Clustering
⏳ 1 week
Topics: RFM analysis, K-means clustering, behavioral segmentation
Hands-on: Segment customers using Excel or Python-based clustering
Module 5: Marketing Attribution & Mix Modeling
⏳ 1 week
Topics: First-touch, last-touch, linear attribution, marketing mix
Hands-on: Create an attribution model to evaluate multi-channel ROI
Module 6: Dashboarding & Data Storytelling
⏳ 1 week
Topics: Creating dashboards, visualizing key metrics, storytelling
Hands-on: Build a marketing dashboard using Excel or Google Sheets
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Job Outlook
Strong demand for marketers who can analyze and optimize data-driven campaigns
Roles include Marketing Analyst, Growth Marketer, and Performance Marketer
Freelance and agency professionals can charge premium rates for analytics services
Salary range: $60,000–$110,000+ depending on tools and industry
Specification: Marketing Analytics Mastery: From Strategy to Application Course
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FAQs
- No prior experience is strictly required; the course starts with foundational concepts.
- Basic understanding of spreadsheets and data interpretation is helpful.
- The course introduces marketing analytics strategies step by step.
- Provides practical examples to understand data-driven decision-making.
- Students can apply techniques to real-world marketing problems immediately.
- Yes, the course teaches how to calculate and interpret ROI for campaigns.
- Covers key metrics such as customer acquisition cost, conversion rates, and CLV.
- Demonstrates practical ways to link analytics to business objectives.
- Teaches reporting techniques for stakeholders and decision-makers.
- Helps learners optimize campaigns based on data insights.
- Yes, the course introduces commonly used tools like Google Analytics, Excel, and visualization software.
- Covers data collection, analysis, and interpretation techniques.
- Teaches applying analytics for segmentation, targeting, and personalization.
- Includes hands-on exercises for extracting actionable insights.
- Prepares learners to leverage tools for real-world marketing decisions.
- Yes, the course equips learners to implement analytics in live marketing campaigns.
- Focuses on strategy, performance measurement, and campaign optimization.
- Covers data-driven decision-making for digital and offline marketing channels.
- Provides guidance on creating actionable reports and dashboards.
- Helps marketers enhance efficiency, targeting, and overall campaign impact.
- The course includes exercises with real-world marketing datasets.
- Students practice calculating metrics, visualizing trends, and deriving insights.
- Provides step-by-step guidance for applying analytics in campaigns.
- Hands-on practice reinforces theoretical concepts and strategic thinking.
- Encourages experimentation with analytics tools to build confidence.
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