Model your TikTok affiliate program revenue with performance-tier analysis. Estimate GMV, orders, and commissions across Top, Normal, and Bottom affiliate tiers.
Program Setup
Total active affiliates in your program
Average video output per affiliate per month
Baseline views — tiers multiply this value
Leave blank to use category benchmark
Category & Commission
Affiliate commission percentage
Scenario
Benchmark mode uses industry data to set CTR, conversion rates, and tier multipliers automatically based on product category.
Performance Split Ratio
Auto-calculated from remaining %
Top Performers
Normal Performers
Bottom Performers
Month-over-month affiliate program growth
Performance Tier Split — Realistic (10/20/70)
10
Top Performers
10% · 17.5K views · 6.3% CTR · 3.2% conv
20
Normal Performers
20% · 5.0K views · 3.5% CTR · 3.2% conv
70
Bottom Performers
70% · 1.3K views · 1.2% CTR · 1.1% conv
Month 1 Funnel
Affiliates100
↓ × 8 videos/mo
Videos800
↓ weighted avg views
Total Views0
↓ 0% CTR
Product Clicks0
↓ 0% Conv
Orders0
↓ Rp 0 AOV
GMVRp 0
Tier Breakdown
Metric
Top
Normal
Bottom
Combined
Key Metrics
Rp 0
GMV / Affiliate
Rp 0
GMV / View
Rp 0
Total Commission
Rp 0
Net Revenue
Growth Projection — Realistic (10/20/70)
Detailed Projection Table
Metric
Month 1
Month 3
Month 6
Month 12
Benchmark Comparison — General
Metric
Conservative
Realistic
Optimistic
Best Case
Sources & Methodology: Tier multipliers based on TikTok Shop affiliate performance distribution analysis across Indonesian e-commerce categories. CTR and conversion benchmarks sourced from Metric.buzz, FastMoss, and Kalodata affiliate analytics platforms. AOV ranges reflect TikTok Shop Indonesia transaction data (2024-2025). Growth rates model affiliate recruitment and content optimization trajectories. The 10/20/70 performance split mirrors the Pareto principle commonly observed in affiliate marketing networks.