Daily Use: formulas and concepts for both computer science engineers and digital marketers

Computer Science Engineer Formulas:

1. Big O Notation: O(1), O(n), O(log n), O(n^2), etc.

2. Boolean Algebra: De Morgan's theorem, distributive law, etc.

3. TCP/IP: Formulas related to bandwidth-delay product, TCP window size, etc.

4. Information Theory: Entropy, Shannon's theorem, etc.

5. Database Normalization: Normalization levels like 1NF, 2NF, 3NF, denormalization techniques.

6. Graph Theory: Graph traversal algorithms (BFS, DFS), shortest path algorithms (Dijkstra's, Floyd-Warshall), etc.

7. Discrete Mathematics: Combinatorics, permutations, combinations, probability, etc.

8. Linear Algebra: Matrix operations, determinants, eigenvalues, etc.

9. Algorithm Analysis: Time complexity analysis (best case, worst case, average case), space complexity analysis.

10. Operating Systems: CPU scheduling algorithms (FCFS, SJF, RR), memory management techniques, etc.

Digital Marketer Formulas:

1. Customer Acquisition Cost (CAC): Total marketing costs / number of customers acquired.

2. Customer Lifetime Value (CLV): Predicted net profit from entire customer relationship.

3. Return on Investment (ROI): (Gain from Investment - Cost of Investment) / Cost of Investment.

4. Click-Through Rate (CTR): (Number of clicks / Number of impressions) * 100.

5. Conversion Rate (CR): (Number of conversions / Number of visitors) * 100.

6. Customer Churn Rate: (Number of customers lost in a period / Total number of customers at the start of the period) * 100.

7. Cost per Click (CPC): Total cost of clicks / Total number of clicks.

8. Cost per Acquisition (CPA): Total cost of acquiring customers / Number of customers acquired.

9. Average Revenue Per User (ARPU): Total revenue / Number of users.

10. Search Engine Optimization (SEO): PageRank algorithm, keyword density, backlink analysis, etc.

11. Pay-Per-Click (PPC): Bid amount, quality score, ad rank, etc.

12. Social Media Metrics: Engagement rate, reach, impressions, etc.

13. Email Marketing Metrics: Open rate, click rate, bounce rate, etc.

14. A/B Testing: Statistical significance, confidence intervals, etc.

15. Marketing Funnel Analysis: Awareness, interest, consideration, conversion, loyalty, advocacy stages.

by Waran Gajan Bilal