Job Description
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: β’ Reconcile ad spend vs affiliate revenue β’ Improve traffic monetization efficiency β’ 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: β’ Meta + other platform ad spend β’ Outbound click data β’ Affiliate revenue across major retailers Account for: β’ Attribution gaps β’ Reporting delays β’ Platform discrepancies β’ Returns / clawbacks Build: β’ A daily βtrue performanceβ model (not platform-reported) β’ Reports for payouts 2. Performance Optimization Go beyond surface-level metrics to analyze: β’ EPC (earnings per click) vs CPC (cost per click) β’ Seasonality trends β’ Revenue vs profit contribution β’ Creative performance decay (fatigue) β’ Characteristics of winning products and creatives Work with operators to: β’ Scale profitable campaigns β’ Cut underperformers quickly β’ Improve overall efficiency of spend 3. Analytics & Attribution Build systems to estimate: β’ True MER / blended ROAS under incomplete attribution Blend data from: β’ Meta and other ad platforms β’ Affiliate reporting platforms β’ Internal tracking systems Identify and quantify: β’ Data gaps β’ Revenue lag β’ Attribution bias 4. Process & System Building Create repeatable workflows for: β’ Campaign evaluation β’ Product testing β’ Scaling decisions Build SOPs to replicate across: β’ Multiple accounts β’ Multiple operators Turn: β’ Manual analysis β’ Into structured, repeatable systems 5. Payouts & Financial Ops Calculate: β’ Revenue share payouts β’ Partner commissions Ensure accuracy between: β’ Reported revenue β’ Actual payouts Build: β’ Automated payout systems where possible Maintain: β’ Clean financial logic tied to profit (not just revenue) Key Metrics You Will Own Track: β’ EPC (Earnings Per Click) β’ CPC (Cost Per Click) β’ Profit per click (EPC β CPC) β’ MER (blended ROAS) β’ Daily / weekly profit Requirements 2β6 years experience in: β’ Performance marketing analytics β’ Affiliate marketing, paid social, or growth roles Advanced proficiency in: β’ Google Sheets / Excel (required) Deep understanding of: β’ Meta Ads (auction dynamics, creative testing) β’ Click-based monetization models Experience working with: β’ Imperfect, delayed, or incomplete attribution Strong financial mindset: β’ Ability to think in profit, not just performance metrics Strongly Preferred Experience with: β’ Fortune 50 or similar affiliate ecosystems Experience optimizing for: β’ EPC and click arbitrage models Familiarity with: β’ Tools that accelerate system-building (no-code / dashboards / connectors) Bonus: β’ SQL or data visualization experience How We Evaluate Performance Success in this role is measured by: β’ Improving profitability of ad spend β’ Increasing EPC relative to CPC β’ Building systems that reduce decision-making time β’ 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 ($60β$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?