Performance Marketing Optimization Manager at MC Payroll Services LLC

Position Summary:

The Performance Marketing Optimization Manager owns the structured testing and optimization strategy across our direct response marketing programs. 

This position is accountable for improving CPA performance, advancing programs from testing to scalable execution, and ensuring disciplined experimentation across direct mail and digital channels. 

The role turns test results into clear decisions, determining what to scale, what to refine, and what to pause, and ensures experimentation leads to measurable revenue impact. 

Position Responsibilities:

Testing & Experimentation 

• Lead and evolve the testing framework across direct mail and digital programs 
• Define clear hypotheses, KPIs, guardrails, and decision criteria prior to launch 
• Ensure proper volume allocation and structured test windows 
• Maintain visibility into all active tests and enforce documentation standards 
• Reduce inconclusive or low-value tests by strengthening experimental rigor 
• Establish clear criteria for advancing programs from testing to scalable execution 

Performance Analysis 

• Analyze CPA and conversion performance across marketing programs, audience segments, creative templates, and marketing channels. 
• Identify statistically meaningful performance drivers 
• Distinguish short-term volatility from sustained performance trends 
• Make clear recommendations to scale, pause, iterate, reallocate, or refine segmentation 
• Validate findings prior to executive-level discussions 

Modeling and Forecasting 

• Build and maintain forward-looking CPA and revenue impact models 
• Conduct scenario analysis for segmentation changes, creative allocation shifts, and budget adjustments 
• Forecast program impact before scaling decisions are made 
• Pressure test assumptions and quantify expected performance outcomes 
• Improve forecast accuracy over time 

Program Advancement and Revenue Impact 

• Define performance thresholds required to move programs from testing to active status 
• Track progress against advancement criteria 
• Shorten time-to-decision while maintaining statistical discipline 
• Identify structural performance opportunities across program portfolio 
• Contribute directly to measurable revenue growth through optimization initiatives 

Cross-Functional Leadership 

• Translate optimization insights into clear strategic guidance 
• Partner with Analytics to ensure reporting integrity and alignment 
• Partner with Creative Strategy to translate performance insights into actionable creative recommendations 
• Represent performance marketing in internal growth and strategy discussions 
• Present structured optimization recommendations to leadership 

Required Qualifications 

• 6+ years of experience in performance marketing, growth marketing, or direct response marketing 
• Experience with BI tools (e.g., Looker, QuickSight, Tableau) 
• Experience with custom reporting using SQLrequired
• 2+ years of supervisory or management experience
• Demonstrated experience owning CPA-focused acquisition performance 
• Proven ability to design, structure, and interpret A/B testing frameworks 
• Advanced proficiency in Excel or Google Sheets with experience building decision models 
• Experience analyzing large datasets and presenting findings to senior stakeholders 
• Strong working knowledge of statistical confidence and performance variability 

Preferred Qualifications 

• Mortgage or financial services marketing experience 
• Direct mail campaign experience 
• Experience in high-volume lead generation environments 

Key Competencies 

• Strong analytical reasoning and structured thinking 
• Ability to make clear recommendations based on incomplete data 
• Attention to detail and commitment to data accuracy 
• Strong written and verbal communication skills 
• Ability to operate independently and manage multiple concurrent tests  

Performance Metrics 

Success in this role will be measured by: 

• Sustained CPA improvement across core programs 
• Increase in programs successfully advanced to scalable status 
• Reduction in testing waste (volume spent without actionable learning) 
• Measurable revenue lift driven by optimization initiatives 
• Improved forecast accuracy over time