When you visit cortexenlight.com, we use various tracking technologies to enhance your browsing experience and provide personalized financial modeling education. Think of these as small digital tools that help our website remember your preferences and understand how you interact with our content.

These technologies include traditional browser cookies, local storage, session data, and analytics scripts. Each serves a specific purpose in making your learning journey smoother and more relevant to your financial modeling goals.

Our tracking serves practical purposes that directly benefit your financial modeling education. When you return to a course, we remember where you left off. If you spent extra time on DCF modeling last week, we might suggest related valuation exercises this week.

We also use this data to identify common learning patterns. If many students struggle with a particular Excel formula, we create additional tutorials or adjust our teaching approach. Your anonymous usage data helps improve the experience for future learners.

For students in Thailand's financial sector, we can better understand which local case studies resonate most and develop more region-specific examples in our curriculum.

Some tracking comes from educational tools we integrate to enhance your learning experience. Our video platform tracks viewing progress so you can resume lectures where you stopped. Analytics services help us understand which course materials are most effective.

We work only with service providers who maintain strong data protection standards and limit data use to educational purposes. These partners don't have permission to use your information for their own marketing or unrelated business activities.

Beyond browser settings, you can contact us directly to modify how we track your learning activity. We can reduce data collection to essential functions only, though this might affect course recommendations and progress tracking.

Students who prefer minimal tracking can still access all course materials and complete their financial modeling education. However, features like personalized learning paths and progress synchronization across devices won't work as effectively.

If you're studying while employed at a financial institution, we understand privacy concerns and can discuss customized data handling arrangements that meet your professional requirements.