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Web Analytics by Mind Map: Web Analytics

1. Types of Web Analytics

1.1. Descriptive Analytics

1.2. Diagnostic Analytics

1.3. Predictive Analytics

1.4. Prescriptive Analytics

2. Key Metrics

2.1. Traffic Metrics

2.2. Visits

2.3. Unique Visitors

2.4. Page Views

2.5. Unique Visitors

2.6. Engagement Metrics

2.7. Bounce Rate

2.8. Time on Page

2.9. Average Session Duration

2.10. Conversion Metrics

2.11. Conversion Rate

2.12. Goals

2.13. E-Commerce Metrics

2.14. Events

3. Data Collection Methods

3.1. Cookies

3.2. Javascript Tags

3.3. Log Files

3.4. Event Tracking

3.5. Google Tag

4. Web Analytics Tools

4.1. Google Analytics

4.2. Adobe Analytics

4.3. Matomo (formerly Piwik)

4.4. Kissmetrics

4.5. Mixpanel

4.6. Microsoft Clarity

4.7. Yandix

5. Data Analysis Techniques

5.1. Segmentation

5.2. Funnel Analysis

5.3. Cohort Analysis

5.4. A/B Testing

5.5. Multivariate Testing

6. User Behaviour Analysis

6.1. User Flow Analysis

6.2. Click Heatmaps

6.3. Scroll Depth Analysis

6.4. Form Analytics

6.5. Event Analysis

7. SEO Analytics

7.1. Keyword Analysis

7.2. Organic Traffic

7.3. Backlink Analysis

7.4. Tools (SEMrush, Moz, Ahrefs)

8. Social Media Analytics

8.1. Referral Traffic

8.2. Social Media Enagagement

8.3. Social Media Reach

9. Challenges and Solutions

9.1. Data Accuracy

9.2. Interpretation Complexity

9.3. Resource Allocation

10. Mobile Anaytics

10.1. Mobile App Analytics

10.2. Responsive Design Analysis

10.3. Mobile Conversion Tracking

11. Data Privacy and Compliance

11.1. GDPR Compliance

11.2. CCPA Compliance

11.3. Data Anonymization

12. Real-time Analytics

12.1. Real-time Dashboards

12.2. Event Tracking

12.3. Immediate Actionability

13. Data Integration

13.1. CRM Integration

13.2. Email Marketing Integration

13.3. Advertising Platform Integration

14. Reporting and Insights

14.1. Custom Reports

14.2. Automated Reporting

14.3. Insights and Recommendations

15. Continuous Improvement

15.1. Iterative Analysis

15.2. Feedback Loops

15.3. Benchmarking

16. Case Studies and Examples

16.1. Successful Implementations

16.2. Best Practices

17. Training and Education

17.1. Webinars

17.2. Online Courses

17.3. Certifications

18. Future Trends

18.1. AI and Machine Learning in Analytics

18.2. Predictive Analytics Advancements

18.3. Privacy Centric Analytics Solutions

19. Data Visualization

19.1. Dashboards

19.2. Graphs and Charts

19.3. Heatmaps

19.4. Session Recording