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Marketing Analytics Practice Exam

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Bookmark Enrolled Intermediate

Marketing Analytics Certification

Marketing analytics is the study of data to evaluate the performance of a marketing activity. By applying technology and analytical processes to marketing-related data, businesses can understand what drives consumer actions, refine their marketing campaigns and optimize their return on investment.
Market analysis is a detailed assessment of your business's target market and competitive landscape within a specific industry. This analysis lets you project the success you can expect when you introduce your brand and its products to consumers within the market.


Why Marketing Analytics Certification is important?

Marketing analytics tools improve lead generation by providing the insights needed to optimize advertising efforts and target the most profitable consumers. Better leads generate more sales and improved ROI. Marketing analytics provides insights into customer behavior and preferences.
The world of marketing analytics uses maths, predictive modeling and machine learning to reveal insights from consumer data. This reveals a greater understanding of the consumer's mind and user behaviour, which in turn helps any business optimise how a product or service is positioned to improve sales.

Who should take the Marketing Analytics Certification exam?

The certificate in Marketing Analytics is designed for professionals aspiring to make a career in Marketing Analytics.

  • Marketing and Sales Managers
  • Senior marketing and sales executives, executives
  • Business development executives
  • Students interested in Marketing Analytics
  • Anyone interested in Marketing Analytics

Skills evaluated in the Marketing Analytics Certification exam

    The certificate in Marketing Analytics assess you in 

    • Data Collection and Management 
    • CAC, CLV, ROI, and ROAS
    • Statistical models
    • Trend forecasting
    • Customer Segmentation 
    • Behavior Analysis 
    • Measuring SEO and SEM
    • A/B testing
    • Attribution modeling
    • Marketing mix analysis
    • Data Visualization 
    • Data Reporting 
    • Pricing Optimization
    • Revenue Optimization 


    Marketing Analytics Certification Course Outline

    The Marketing Analytics Certification exam covers the following topics - 


    Module 1. Introduction to Marketing Analytics
    • Importance of Data-Driven Marketing
    • Key Metrics & KPIs in Marketing

     

    Module 2. Data Collection & Management
    • Sources of Marketing Data (Web, Social Media, CRM, Surveys)
    • Data Cleaning & Preprocessing
    • Data Warehousing & Integration

     

    Module 3. Marketing Metrics & Performance Analysis
    • Customer Acquisition Cost (CAC)
    • Return on Investment (ROI) & Return on Ad Spend (ROAS)
    • Conversion Rates & Click-Through Rates (CTR)

     

    Module 4. Customer Segmentation & Targeting
    • Demographic, Behavioral, and Psychographic Segmentation
    • Customer Lifetime Value (CLV) Analysis
    • RFM (Recency, Frequency, Monetary) Analysis

     

    Module 5. Predictive Analytics in Marketing
    • Forecasting Techniques for Demand & Sales
    • Customer Churn Prediction
    • Lead Scoring Models

     

    Module 6. Digital Marketing Analytics
    • Website Traffic Analysis (Google Analytics, Heatmaps)
    • SEO & SEM Performance Metrics
    • Social Media Analytics (Engagement, Sentiment Analysis)

     

    Module 7. Marketing Campaign Analysis
    • A/B Testing & Multivariate Testing
    • Attribution Modeling (First-Touch, Last-Touch, Multi-Touch)
    • Email Marketing & Personalization Metrics

     

    Module 8. Pricing & Revenue Optimization
    • Price Elasticity & Demand Forecasting
    • Dynamic Pricing Strategies
    • Revenue Per Customer Analysis

     

    Module 9. Marketing Dashboards & Visualization
    • Data Visualization Best Practices
    • Dashboard Tools (Tableau, Power BI, Google Data Studio)
    • Real-Time Reporting & Automated Analytics

     

    Module 10. Ethics & Compliance in Marketing Analytics
    • Data Privacy Regulations (GDPR, CCPA)
    • Ethical Use of Customer Data
    • Bias & Fairness in Marketing Analytics

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