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Business and Management
Marketing and Sales
Digital Marketing
Marketing Analytics
1. Introduction to Marketing Analytics
2. Foundational Concepts and Metrics
3. The Marketing Analytics Process
4. Data Sources and Collection Methods
5. Analytical Frameworks and Models
6. Customer Analytics and Segmentation
7. Channel-Specific Analytics
8. Advanced Analytical Techniques
9. Tools and Technology Stack
10. Reporting and Data Visualization
11. Strategy and Optimization
12. Ethics and Privacy in Marketing Analytics
Tools and Technology Stack
Web Analytics Platforms
Google Analytics
Universal Analytics
Google Analytics 4
Enhanced E-commerce
Custom Dimensions and Metrics
Audience Builder
Attribution Modeling
Adobe Analytics
Workspace Analysis
Segment Builder
Calculated Metrics
Data Feeds
Real-Time Reporting
Alternative Analytics Platforms
Mixpanel
Amplitude
Heap Analytics
Hotjar
Business Intelligence and Visualization
Tableau
Data Connections
Dashboard Creation
Calculated Fields
Advanced Analytics
Tableau Server
Microsoft Power BI
Power Query
Data Modeling
DAX Formulas
Power BI Service
Custom Visuals
Google Looker Studio
Data Source Connections
Report Building
Calculated Fields
Sharing and Collaboration
Other BI Tools
Qlik Sense
Sisense
Domo
Customer Relationship Management
Salesforce Analytics
Reports and Dashboards
Einstein Analytics
Campaign Analytics
Lead Scoring
HubSpot Analytics
Marketing Analytics
Sales Analytics
Customer Service Analytics
Attribution Reporting
Other CRM Platforms
Microsoft Dynamics
Pipedrive
Zoho CRM
Marketing Automation and Analytics
Email Marketing Platforms
Mailchimp Analytics
Constant Contact
Campaign Monitor
SendGrid Analytics
Social Media Management
Hootsuite Analytics
Sprout Social
Buffer Analytics
Socialbakers
Marketing Automation
Marketo Analytics
Pardot Analytics
ActiveCampaign
Data Management and Integration
Tag Management Systems
Google Tag Manager
Adobe Launch
Tealium
Segment
Customer Data Platforms
Segment
mParticle
Treasure Data
ActionIQ
Data Integration Tools
Zapier
Microsoft Power Automate
Informatica
Talend
Programming and Statistical Software
SQL for Marketing Analytics
Database Querying
Data Extraction
Data Transformation
Performance Optimization
R for Marketing Analytics
Data Manipulation with dplyr
Visualization with ggplot2
Statistical Modeling
Marketing Mix Modeling
Python for Marketing Analytics
Pandas for Data Analysis
Scikit-learn for Machine Learning
Matplotlib and Seaborn for Visualization
Web Scraping with BeautifulSoup
Other Statistical Software
SAS
SPSS
Stata
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10. Reporting and Data Visualization