We operate a paid social-driven affiliate business, where we run ads (primarily Meta) to promote third-party products on Fortune 50 retailers and earn commissions on resulting purchases.
We are looking for a highly analytical operator to:
• Reconcile ad spend vs affiliate revenue
• Improve traffic monetization efficiency
• Build scalable systems for tracking, payouts, and optimization
This role sits at the intersection of performance marketing, analytics, and financial operations.
We are a small, highly profitable company looking to scale and this role will directly impact profit.
Responsibilities1. Spend vs Revenue Reconciliation (Core Responsibility)
Track and reconcile:
• Meta + other platform ad spend
• Outbound click data
• Affiliate revenue across major retailers
Account for:
• Attribution gaps
• Reporting delays
• Platform discrepancies
• Returns / clawbacks
Build:
• A daily “true performance” model (not platform-reported)
• Reports for payouts
2. Performance Optimization
Go beyond surface-level metrics to analyze:
• EPC (earnings per click) vs CPC (cost per click)
• Seasonality trends
• Revenue vs profit contribution
• Creative performance decay (fatigue)
• Characteristics of winning products and creatives
Work with operators to:
• Scale profitable campaigns
• Cut underperformers quickly
• Improve overall efficiency of spend
3. Analytics & Attribution
Build systems to estimate:
• True MER / blended ROAS under incomplete attribution
Blend data from:
• Meta and other ad platforms
• Affiliate reporting platforms
• Internal tracking systems
Identify and quantify:
• Data gaps
• Revenue lag
• Attribution bias
4. Process & System Building
Create repeatable workflows for:
• Campaign evaluation
• Product testing
• Scaling decisions
Build SOPs to replicate across:
• Multiple accounts
• Multiple operators
Turn:
• Manual analysis
• Into structured, repeatable systems
5. Payouts & Financial Ops
Calculate:
• Revenue share payouts
• Partner commissions
Ensure accuracy between:
• Reported revenue
• Actual payouts
Build:
• Automated payout systems where possible
Maintain:
• Clean financial logic tied to profit (not just revenue)
Key Metrics You Will Own
Track:
• EPC (Earnings Per Click)
• CPC (Cost Per Click)
• Profit per click (EPC – CPC)
• MER (blended ROAS)
• Daily / weekly profit
Requirements
2–6 years experience in:
• Performance marketing analytics
• Affiliate marketing, paid social, or growth roles
Advanced proficiency in:
• Google Sheets / Excel (required)
Deep understanding of:
• Meta Ads (auction dynamics, creative testing)
• Click-based monetization models
Experience working with:
• Imperfect, delayed, or incomplete attribution
Strong financial mindset:
• Ability to think in profit, not just performance metrics
Strongly Preferred
Experience with:
• Fortune 50 or similar affiliate ecosystems
Experience optimizing for:
• EPC and click arbitrage models
Familiarity with:
• Tools that accelerate system-building (no-code / dashboards / connectors)
Bonus:
• SQL or data visualization experience
How We Evaluate Performance
Success in this role is measured by:
• Improving profitability of ad spend
• Increasing EPC relative to CPC
• Building systems that reduce decision-making time
• Identifying opportunities others miss
Compensation: $90k-$140k + Performance Bonus
Compensation includes performance-based upside tied directly to profit improvement.
Open to contractor or part-time candidates ($60–$120/hr depending on experience)
Screening Question:
If revenue is delayed and attribution is incomplete, how would you estimate the true performance of a campaign on a daily basis?