Cookie and Data Usage Policy
Understanding Tracking Technologies
When you visit evolvstream.com, various tracking technologies collect information about how you interact with our educational content. These technologies help us understand which financial modeling topics interest you most and how we can improve our learning materials.
Think of it like having a study assistant that notices which chapters you spend more time reading. The difference is this assistant works through small data files and scripts rather than observing you directly.
We use several types of tracking mechanisms that work together to create a comprehensive picture of how our educational platform performs and how students engage with different topics.
Types of Tracking We Use
Essential Functionality
These are necessary for basic website operations. They remember your login status, language preferences, and course progress as you navigate between lessons.
Without these, you'd have to re-enter information constantly and couldn't maintain progress through our financial modeling modules.
Learning Analytics
We track which sections of our courses get the most attention, where students typically pause or rewatch content, and which practice exercises cause the most difficulty.
This helps us refine our teaching approach and identify areas where additional explanation might be helpful.
Performance Monitoring
These technologies monitor page loading speeds, identify technical issues, and track how well our video content streams across different devices and connection types.
We use this data to ensure smooth access to learning materials regardless of your technical setup.
Personalization
Based on your interaction patterns, we customize content recommendations and suggest relevant financial modeling techniques that align with your learning progress.
These don't identify you personally but help create a more relevant educational experience.
How Tracking Enhances Your Experience
Here's what happens behind the scenes when you engage with our platform. If you spend significant time reviewing DCF modeling concepts, our system notes this interest and might suggest advanced valuation techniques in your next session.
When you pause frequently during a particular Excel demonstration, we recognize this as a complex topic that might benefit from supplementary materials or alternative explanations.
- Remembering where you left off in multi-part lessons
- Adjusting video quality based on your connection speed
- Providing relevant practice problems based on your skill level
- Identifying popular content to expand or update
- Detecting technical problems before they affect other students
- Customizing the learning dashboard to show relevant progress metrics
- Suggesting study schedules based on your typical usage patterns
Managing Your Privacy Preferences
You have substantial control over how tracking technologies function on your device. Most changes can be made through your browser settings, though this might affect some personalized features.
Browser-Specific Instructions
Chrome
Settings → Privacy and Security → Cookies and other site data. Choose from several privacy levels including blocking third-party cookies while allowing functional ones.
Firefox
Options → Privacy & Security → Enhanced Tracking Protection. Firefox offers Standard, Strict, or Custom protection modes.
Safari
Preferences → Privacy → Manage Website Data. Safari includes intelligent tracking prevention that blocks many trackers automatically.
Edge
Settings → Cookies and site permissions → Cookies and site data. Microsoft Edge provides balanced, strict, or custom tracking prevention options.
Remember that blocking certain tracking technologies might affect your ability to maintain course progress or receive personalized content recommendations. Essential functionality will continue working regardless of your privacy settings.
Data Retention and Storage
How Long We Keep Information
Learning progress data: Retained for 3 years after your last login
Technical performance data: Analyzed and deleted within 90 days
General usage patterns: Anonymized and kept for educational improvement purposes
We regularly review stored information and delete data that no longer serves educational or technical purposes. Personal learning progress is kept longer to allow you to return to courses after extended breaks.
Some anonymized usage patterns help us understand broad trends in financial modeling education, but this information cannot be traced back to individual users.
Third-Party Services
Our educational platform integrates with several external services that provide specialized functionality. Video hosting services track playback quality and completion rates. Analytics services help us understand which content performs best.
These services operate under their own privacy policies, though we've selected providers who align with our commitment to educational privacy. They process information necessary for their specific functions but don't receive unnecessary personal details.
Payment processing services collect transaction information when you enroll in programs, but this data is handled separately from your learning activity and follows strict financial data protection standards.
Questions About Data Usage?
We're happy to explain how specific tracking technologies affect your learning experience or help you adjust privacy settings.
Contact us at [email protected]
Visit our office at 16 Lê Thái Tổ, Hàng Trống, Hoàn Kiếm, Hà Nội, Vietnam
Call +84901860777 for immediate assistance