Education Center

Learn How VMAG Works

Explore the equations, algorithms, and logic that power the VMAG platform. Understanding these concepts helps creators optimize their content.

VMAG Engagement Score

E = (V × W) + (C × 2) + (S × 3) + (T × 5)

Calculates overall engagement where V=views, W=watch time ratio, C=comments, S=shares, T=tips

Example:

E = (1000 × 0.75) + (50 × 2) + (25 × 3) + (10 × 5) = 750 + 100 + 75 + 50 = 975

Creator Ranking Algorithm

R = (E × 0.4) + (Q × 0.3) + (F × 0.2) + (A × 0.1)

Ranks creators based on Engagement, Quality score, Follower growth, and Activity level

Example:

R = (975 × 0.4) + (85 × 0.3) + (120 × 0.2) + (95 × 0.1) = 390 + 25.5 + 24 + 9.5 = 449

Content Recommendation Score

S = Σ(Pi × Wi) / n

Weighted sum of preference matches (P) with importance weights (W) divided by total factors

Example:

S = (0.9 × 0.5 + 0.7 × 0.3 + 0.8 × 0.2) / 1 = 0.45 + 0.21 + 0.16 = 0.82

Monetization Potential

M = (V × CPM/1000) + (T × 0.7) + (A × CR × AOV)

Estimates revenue from Views (CPM), Tips (70% to creator), and Affiliate sales

Example:

M = (10000 × 5/1000) + (500 × 0.7) + (100 × 0.05 × 50) = 50 + 350 + 250 = $650

We're always looking for ways to improve. Share your ideas and help shape the future of VMAG.